Publications

Bhatt M, Mishra A, Kabir M, Blake-Gatto S, Rajendra R, Hoque M, Ahmed I, 2020. Hierarchy-Based File Fragment Classification. Machine Learning and Knowledge Extraction 2(3): 216-232; https://doi.org/10.3390/make2030012

Qasim S, Smith J, Ahmed I, 2020. Control Logic Forensics Framework using Built-in Decompiler of Engineering Software in Industrial Control Systems. Forensic Science International: Digital Investigation 33; https://doi.org/10.1016/j.fsidi.2020.301013

Bokhari Y, Alhareeri A, Arodz T, 2020. QuaDMutNetEx: a method for detecting cancer driver genes with low mutation frequency. BMC Bioinformatics 21:122; https://doi.org/10.1186/s12859-020-3449-2 IF: 3.242 (Q1 rank)

Yucel F, Yuksel M, and Bulut E, 2020. QoS-based Budget Constrained Stable Task Assignment in Mobile Crowdsensing, IEEE Transactions on Mobile Computing (TMC), doi: 10.1109/TMC.2020.2997280 https://ieeexplore.ieee.org/document/9099595 IF: 5.11 (Q1 rank)

Dhungana A, Bulut E, 2020. Energy balancing in mobile opportunistic networks with wireless charging: Single and multi-hop approaches, Ad hoc Networks,  doi: 10.1016/j.adhoc.2020.102342 https://www.sciencedirect.com/science/article/abs/pii/S1570870520306922 IF: 3.64 (Q1 rank)

Hernandez S, Bulut E, 2020. Using perceived direction information for anchorless relative indoor localization, Journal of Network and Computer Applications (JNCA), doi: 10.1016/j.jnca.2020.102714 https://www.sciencedirect.com/science/article/abs/pii/S1084804520301880 IF: 5.57 (Q1 rank)

Yucel F, Bulut E, 2020. User Satisfaction Aware Maximum Utility Task Assignment in Mobile Crowdsensing, Computer Networks, doi: 10.1016/j.comnet.2020.107156 https://www.sciencedirect.com/science/article/abs/pii/S1389128619311697 IF: 3.11

Chowdhury MU, Maeng SJ, Bulut E, Guvenc I, 2020. 3D Trajectory Optimization in UAV-Assisted Cellular Networks Considering Antenna Radiation Pattern and Backhaul Constraint, IEEE Transactions on Aerospace and Electronic Systems (TAES), doi: 10.1109/TAES.2020.2981233 https://ieeexplore.ieee.org/document/9037325 IF: 3.67 (Q1 rank)

Erdin E, Cebe M, Akkaya K, Solak S, Bulut E, Uluagac S, 2020. A Bitcoin Payment Network with Reduced Transaction Fees and Confirmation Times, Computer Networks, doi: 10.1016/j.comnet.2020.107098 https://www.sciencedirect.com/science/article/abs/pii/S1389128619308850 IF: 3.11

Djenouri Y, Djenouri D, Habbas z, Lin J, Michalak T, Cano A, 2020. When the Decomposition Meets the Constraint Satisfaction Problem. IEEE Access 8:207034-207043, https://ieeexplore.ieee.org/document/9260140 IF: 3.75 (Q1 rank)

Belhadi A, Djenouri Y, Srivastava G, Djenouri D, Cano A, Lin J, 2020. A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories. IEEE Transactions on Intelligent Transportation Systems, https://ieeexplore.ieee.org/document/9204632 IF: 6.32 (Q1 rank)

Belhadi A, Djenouri Y, Lin J, Cano A, 2020. A Data-Driven Approach for Twitter Hashtag Recommendation. IEEE Access 8:79182-79191, https://ieeexplore.ieee.org/document/9079518 IF: 3.75 (Q1 rank)

Belhadi A, Djenouri Y, Lin J, Cano A, 2020. Trajectory Outlier Detection: Algorithms, Taxonomies,Evaluation and Open Challenges. ACM Transactions on Management Information Systems 11(30):16, https://dl.acm.org/doi/10.1145/3399631

Belhadi A, Djenouri Y, Lin J, Zhang C, Cano A, 2020. Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem. IEEE Access 8:10569-10583, https://ieeexplore.ieee.org/document/8951154 IF: 3.75 (Q1 rank)

Belhadi A, Djenouri Y, Lin J, Cano A, 2020. A General-Purpose Distributed Pattern Mining System. Applied Intelligence 50:2647-2662, https://link.springer.com/article/10.1007/s10489-020-01664-w IF: 3.33 (Q1 rank)

Moyano JM, Gibaja EL, Cios KJ, Ventura S. 2020. Combining Multi-Label Classifiers Based on Projections of the Output Space Using Evolutionary Algorithms. Knowledge-Based Systems, 196:105770 10.1016/j.knosys.2020.105770 IF: 5.921 (Q1 rank)

Cranston DW and Yancey MP, 2020. Sparse Graphs are Near-bipartite. SIAM Journal on Discrete Math. SIAM Journal on Discrete Math. Vol. 34(3), 1725-1768.  IF: .755

Cranston DW and Li J, 2020. Circular Flows in Planar Graphs. SIAM Journal on Discrete Math. Vol. 34(1):497–519. IF: .755

Choi I, Cranston DW, and Pierron T, 2020. Degeneracy and Colorings of Squares of Planar Graphs without 4-Cycles. Combinatorica 40(5):625-653.  IF: 1.143

Ciborowska A, Damevski K, 2020. Recognizing Developer Activity Based on Joint Modeling of Code and Command Interactions. IEEE Access 8:211653-211664, https://ieeexplore.ieee.org/document/9268948 IF: 3.75 (Q1 rank)

Bui N, Pham N, Truong H, Nguyen P,  Xiao J, Deterding R, Dinh TN, Vu T, 2020. eBP: Frequent and Comfortable Blood Pressure Monitoring from Inside Human’s Ears, GetMobile: Mobile Computing and Communications, SIGMOBILE, 2020, https://dl.acm.org/doi/abs/10.1145/3400713.3400721

Bu N, Nguyen A, Nguyen P, Truong H, Ashok A, Dinh TN, Deterding R, Vu T, 2020. Smartphone-Based SpO2 Measurement by Exploiting Wavelengths Separation and Chromophore Compensation, ACM Transactions on Sensor Networks (TOSN). https://dl.acm.org/doi/abs/10.1145/3360725 IF: 2.47

Huang S, Liu Y, Fung C, He R, Zhao Y, Yang H, Luan Z, 2020. HitAnomaly: Hierarchical Transformers for Anomaly Detection in System Log. IEEE Transactions on Network and Service Management. https://ieeexplore.ieee.org/abstract/document/9244088 IF: 3.9

Yu H, Yang J, Fung C, 2020. Fine-grained Cloud Resource Provisioning for Virtual Network Function. IEEE Transactions on Network and Service Management. https://ieeexplore.ieee.org/abstract/document/9060987 IF: 3.9

El-Latif AA Abd, Abd-El-Atty B, Mazurczyk W, Fung C, 2020. Secure data encryption based on quantum walks for 5G Internet of Things scenario. IEEE Transactions on Network and Service Management 17 (1), 118-131. https://ieeexplore.ieee.org/abstract/document/8972594. IF: 3.9

Roy S, Dutta R, Ghosh P, 2020. Recreational and philanthropic sectors are the worst-hit US industries in the COVID-19 aftermath. Elsevier Social Science and Humanities, 3:1. https://doi.org/10.1016/j.ssaho.2020.100098  IF: 1.03

Carvalho, R, Aburjaile, F, Viana, MC, Nascimento, A, Souza-Chartone, E, Jesus, LD, Zamyatnin, A, Brenig, B, Barh, D, Ghosh, P, Góes-Neto, A, Soares, S, Ramos, R, Pinto, A, Azevedo, V, 2020. Genomic characterization of multidrug-resistant Escherichia coli BH100 sub-strains. Frontiers in Microbiology. https://www.frontiersin.org/articles/10.3389/fmicb.2020.549254/abstract  IF: 4.24 (Q1 rank)

Barh D, Tiwari S, Azevedo V, Góes-Neto A, Gromiha M and Ghosh P, 2020. Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-19. Computers in Biology and Medicine, 126:104051. https://doi.org/10.1016/j.compbiomed.2020.104051 IF: 3.43 (Q1 rank)

Roy S, Ghosh P, 2020. Factors affecting COVID-19 infected and death rates inform lockdown-related policymaking. PLoS ONE 15(10): e0241165. https://doi.org/10.1371/journal.pone.0241165  IF: 2.74

Syed K, Sleeman W, Hagan M, Palta J, Kapoor R, Ghosh, P, 2020. Automatic Incident Triage in Radiation Oncology Incident Learning System. Healthcare, 8, 272. https://doi.org/10.3390/healthcare8030272 IF: 1.92

Imchen M, Moopantakath J, Kumavath R, Barh D, Tiwari S, Ghosh P and Azevedo V, 2020. Current Trends in Experimental and Computational Approaches to Combat Antimicrobial Resistance. Front. Genet. 11:563975. doi: 10.3389/fgene.2020.563975 IF: 3.26

Reddy D, Kumavath R, Barh D, Azevedo V, Ghosh P, 2020. Anticancer and Antiviral Properties of Cardiac Glycosides: A Review to Explore the Mechanism of Actions. Molecules, 25(16):3596. doi:10.3390/molecules25163596 IF: 3.06

Leite EL, Oliveira AF Jr, Carmo FLRD, Berkova N, Barh D, Ghosh P, Azevedo V, 2020. Bacteriocins as an alternative in the treatment of infections by Staphylococcus aureus. An Acad Bras Cienc. 92(suppl 2):e20201216. doi: 10.1590/0001-3765202020201216. PMID: 33084762.

Barh D, Silva Andrade B, Tiwari S, Giovanetti M, Góes-Neto A, Alcantara LCJ, Azevedo V, Ghosh P, 2020. Natural selection versus creation: a review on the origin of SARS-COV-2. Infez Med. 28(3):302-311. PMID: 32920565.

Franco EF, Rana P, Queiroz Cavalcante AL, da Silva AL, Cybelle Pinto Gomide A, Carneiro Folador AR, Azevedo V, Ghosh P, TJ Ramos R, 2020. Co-Expression Networks for Causal Gene Identification Based on RNA-Seq Data of Corynebacterium pseudotuberculosis. Genes 11, 794. IF: 3.33

Sleeman Iv WC, Nalluri J, Syed K, Ghosh P, Krawczyk B, Hagan M, Palta J, Kapoor R, 2020. A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels. J Biomed Inform. 109:103527. doi: 10.1016/j.jbi.2020.103527. Epub 2020 Aug 8. PMID: 32777484. IF: 3.53

Araújo CL, Blanco I, Souza L, Tiwari S, Pereira LC, Ghosh P, Azevedo V, Silva A, Folador A, 2020. In silico functional prediction of hypothetical proteins from the core genome of Corynebacterium pseudotuberculosis biovar ovis. PeerJ 8:e9643. doi: 10.7717/peerj.9643. PMID: 32913672; PMCID: PMC7456259. IF: 2.38

Syed K, Sleeman W, Soni P, Hagan M, Palta J, Kapoor R, Ghosh P, 2020. Machine-Learning Models for Multicenter Prostate Cancer Treatment Plans. J Comput Biol. doi: 10.1089/cmb.2020.0188. PMID: 32985908. IF: 1.1

Roy S, Ghosh P, Barua D, Das SK, 2020. Motifs enable communication efficiency and fault-tolerance in transcriptional networks. Sci Rep 10, 9628 https://doi.org/10.1038/s41598-020-66573-x JCR: Q1; IF: 3.99

Barh D, Tiwari S, Silva Andrade B, Giovanetti M, Almeida Costa E, Kumavath R, Ghosh P, Góes-Neto A, Carlos Junior Alcantara L, Azevedo V, 2020. Potential chimeric peptides to block the SARS-CoV-2 spike receptor-binding domain. F1000Res. 9:576. doi: 10.12688/f1000research.24074.1. PMID: 32802318; PMCID: PMC7411520.

Silva Andrade B, Ghosh P, Barh D et al, 2020. Computational screening for potential drug candidates against the SARS-CoV-2 main protease. F1000Research 9:514 (https://doi.org/10.12688/f1000research.23829.1)

Podolich O, […], Ghosh P, Barh D, Góes-Neto A, Azevedo V, de Vera JP, Kozyrovska N, 2020. Fitness of Outer Membrane Vesicles From Komagataeibacter intermedius Is Altered Under the Impact of Simulated Mars-like Stressors Outside the International Space Station. Front Microbiol. 11:1268. doi: 10.3389/fmicb.2020.01268. PMID: 32676055; PMCID: PMC7333525. JCR: Q1; IF: 4.24

Syed K, Sleeman IV W, Ivey K, Hagan M, Palta J, Kapoor R, Ghosh P, 2020. Integrated Natural Language Processing and Machine Learning Models for Standardizing Radiotherapy Structure Names. Healthcare 8, 120. IF: 1.92

Ghosh P, Rana P, Rangachari V, Saha J, Steen E, Vaidya A, 2020. A game-theoretic approach to deciphering the dynamics of amyloid-β aggregation along competing pathways. R Soc Open Sci. 7(4):191814. doi: 10.1098/rsos.191814. PMID: 32431878; PMCID: PMC7211858. IF: 2.65

Phillips MH, Serra LM, Dekker A, Ghosh P, Luk SMH, Kalet A, Mayo C, 2020. Ontologies in radiation oncology. Phys Med. 72:103-113. doi: 10.1016/j.ejmp.2020.03.017. PMID: 32247963. IF: 2.48

Santos RG, […], Ghosh P, Seyffert N, Azevedo V, 2020. Complete genome analysis of Glutamicibacter creatinolyticus from mare abscess and comparative genomics provide insight of diversity and adaptation for Glutamicibacter. Gene 741:144566. doi: 10.1016/j.gene.2020.144566. PMID: 32171826. IF: 2.98

Jaiswal AK, Tiwari S, Jamal SB, Oliveira LC, Alves LG, Azevedo V, Ghosh P, Oliveira CJ, Soares SC, 2020. The pan-genome of Treponema pallidum reveals differences in genome plasticity between subspecies related to venereal and non-venereal syphilis. BMC Genomics 21, 33 https://doi.org/10.1186/s12864-019-6430-6 IF: 3.6

Sleeman WC, Krawczyk B, 2020. Multi-class imbalanced big data classification on Spark. Knowledge-Based Systems doi: 10.1016/j.knosys.2020.106598 https://www.sciencedirect.com/science/article/pii/S0950705120307279 IF: 5.92 (Q1 rank)

Koziarski M, Wozniak M, Krawczyk B, 2020. Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise. Knowledge-Based Systems 204: 106223 https://www.sciencedirect.com/science/article/pii/S0950705120304330 IF: 5.92 (Q1 rank)

Sleeman WC, Nalluri J, Syed K, Ghosh P, Krawczyk B, Hagan M, Palta J, Kapoor R, 2020. A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels. Journal of Biomedical Informatics 109: 103527 https://www.sciencedirect.com/science/article/pii/S1532046420301556 IF: 3.53

Katuwawala A, Kurgan L, 2020. Comparative Assessment of Intrinsic Disorder Predictions with a Focus on Protein and Nucleic Acid-Binding Proteins. Biomolecules 10(12):1636; https://doi.org/10.3390/biom10121636 IF: 4.08

Zhao B, Katuwawala A, Oldfield CJ, Dunker K, Faraggi E, Gsponer J, Kloczkowski A, Malhis N, Mirdita M, Obradovic Z, Söding J, Steinegger M, Zhou Y, Kurgan L, 2020. DescribePROT: Database of Amino Acid-level Protein Structure and Function Predictions. Nucleic Acids Research, IF: 11.50 (Q1 rank)

Zhang F, Shi W, Zhang J, Zeng M, Li M, Kurgan L, 2020. PROBselect: Accurate Prediction of Protein-Binding Residues from Proteins Sequences via Dynamic Predictor Selection. Bioinformatics 36: i735–i744 IF: 5.61 (Q1 rank)

Peng Z, Xing Q, Kurgan L, 2020. APOD: Accurate Sequence-Based Predictor of Disordered Flexible Linkers. Bioinformatics 36:i754–i761, https://doi.org/10.1093/bioinformatics/btaa808 IF: 5.61 (Q1 rank)

Zhao B, Katuwawala A, Uversky VN, Kurgan L, 2020. IDPology of the Living Cell: Intrinsic Disorder in the Subcellular Compartments of the Human Cell. Cellular and Molecular Life Sciences https://doi.org/10.1007/s00018-020-03654-0 IF: 6.50 (Q1 rank)

Zhang J, Ghadermarzi S, Kurgan L, 2020. Prediction of Protein-Binding Residues: Dichotomy of Sequence-Based Methods Developed Using Structured Complexes Versus Disordered Proteins. Bioinformatics 36(18):4729-4738 IF: 5.61 (Q1 rank)

Gao J, Wei H, Cano A, Kurgan L, 2020. PSIONplus^m Server for Accurate Multi-Label Prediction of Ion Channels and Their Types. Biomolecules 10(6):876 https://www.mdpi.com/2218-273X/10/6/876 IF: 4.08

Liu L, Kurgan L, Wu FX, Wang J, 2020. Attention Convolutional Neural Network for Accurate Segmentation and Quantification of Lesions in Ischemic Stroke Disease. Medical Image Analysis 65:101791 https://doi.org/10.1016/j.media.2020.101791 IF: 11.15 (Q1 rank)

Chen H, Li F, Wang L, Jin Y, Chi CH, Kurgan L, Song J, Shen J, 2020. Systematic Evaluation of Machine Learning Methods for Identifying Human–Pathogen Protein–Protein Interactions. Briefings in Bioinformatics IF: 8.99 (Q1 rank)

Barik A, Katuwawala A, Hanson J, Paliwal K, Zhou Y, Kurgan L, 2020. DEPICTER: Intrinsic Disorder and Disorder Function Prediction Server. Journal of Molecular Biology 432(11):3379-3387 https://www.sciencedirect.com/science/article/pii/S0022283619307399 IF: 4.76 (Q1 rank)

Zhang J, Li W, Zeng M, Meng X, Kurgan L, Wu FX, Li M, 2020. NetEPD: A Network-Based Essential Protein Discovery Platform. Tsinghua Science and Technology https://ieeexplore.ieee.org/document/8954872 25(4):542-552 IF: 1.33

Wang K, Hu G, Wu Z, Su H, Yang J, Kurgan L, 2020. Comprehensive Survey and Comparative Assessment of RNA-Binding Residue Predictions with Analysis by RNA Type. International Journal of Molecular Sciences 21(18):6879 https://www.mdpi.com/1422-0067/21/18/6879 IF: 4.56 (Q1 rank)

Yu L, Guo Y, Wang Q, Luo C, Liao W, Li M, and Li P, 2020. Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach. IEEE Trans. Cognitive Communications and Networking. 6(2): 476-485. https://ieeexplore.ieee.org/document/8998400 , IF: 4.574

Ji T, Luo C, Guo Y, Wang Q, Yu L, and Li P, 2020. Community Detection in Online Social Networks: A Di_erentially Private and Parsimonious Approach. IEEE Trans. Computational Social Systems. 7(1): 151 - 163. https://ieeexplore.ieee.org/document/8999786, IF: 3.29

Luo C, Ji J, Wang Q, Chen X, and Li P, 2020. Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach. IEEE Trans. Network Science and Engineering. 7(1): 227-236. https://ieeexplore.ieee.org/document/8395053, IF: 5.213

X. Yan, Y. Ye, X. Qiu, M. Manic and H. Yu, "CMIB: Unsupervised Image Object Categorization in Multiple Visual Contexts," in IEEE Transactions on Industrial Informatics, vol. 16, no. 6, pp. 3974-3986, June 2020. https://ieeexplore.ieee.org/document/8823028 IF: 8.480

Cuffy, C, Hagiwara N, Vrana S, McInnes BT, 2020. Measuring the quality of patient-physician communication. Journal of Biomedical Informatics. 12:103589. https://www.sciencedirect.com/science/article/abs/pii/S1532046420302185  IF: 3.526

Sutphin, C, Lee K, Yepes AJ, Uzuner Ö, McInnes BT, 2020. Adverse drug event detection using reason assignments in FDA drug labels. Journal of Biomedical Informatics 110:103552. https://www.sciencedirect.com/science/article/abs/pii/S1532046420301805  IF: 3.526

N. Ritschel, V. Kovalenko, R. Holmes, R. Garcia, Shepherd DC, 2020. Comparing Block-based Programming Models for Two-armed Robots, IEEE Transactions on Software Engineering, https://doi:10.1109/TSE.2020.3027255 (CORE A*), IF: 3.31 (Q1 rank)

V. Garousi, Shepherd DC, K. Herkiloglu, 2020. Successful Engagement of Practitioners and Software Engineering Researchers: Evidence From 26 International Industry–Academia Collaborative Projects, IEEE Software, vol. 37, no. 6, pp. 65-75, Nov.-Dec. 2020, doi: https://10.1109/MS.2019.2914663. IF: 2.945

Jin L, Zhang H, Ye C, 2020. Camera Intrinsic Parameters Estimation by Visual Inertial Odometry for a Mobile Phone with Application to Assisted Navigation. IEEE/ASME Transactions on Mechatronics 25(4): 1803-1811 https://ieeexplore.ieee.org/document/9099599 IF: 5.673 (Q1 rank)

Zhang H and Ye C, 2020. Plane-Aided Visual-Inertial Odometry for 6-DOF Pose Estimation of a Robotic Navigation Aid. IEEE Access 8: 90042-90051 https://ieeexplore.ieee.org/document/9091872 IF: 3.745 (Q1 rank)

Shen T, Afsar M R, Zhang, H, Ye C, Shen X, 2020. A 3D Computer Vision-Guided Robotic Companion for Non-Contact Human Assistance and Rehabilitation. Journal of Intelligent & Robotics Systems 100:911-923 https://link.springer.com/article/10.1007/s10846-020-01258-1 IF: 2.259

Dana Dachman-Soled, Feng-Hao Liu, Elaine Shi, Hong-Sheng Zhou, 2020.Locally Decodable and Updatable Non-malleable Codes and Their Applications. J. Cryptol. 33(1): 319-355 (CORE A* rank) https://link.springer.com/article/10.1007/s00145-018-9306-z

Zhang H, Gao X, Unterman J, Arodz T, 2020. Approximation capabilities of Neural ODEs and Invertible Residual Networks. 37th International Conference on Machine Learning (ICML'2020); PMLR 119:11086-11095; http://proceedings.mlr.press/v119/zhang20h.html (CORE A* rank)

Panahi A, Saeedi S, Arodz T, 2020. word2ket: space-efficient word embeddings inspired by quantum entanglement. 8th International Conference on Learning Representations (ICLR'20)

Arodz T, 2020. Generalized quantum Deutsch-Jozsa algorithm. 20th International Conference on Computational Science (ICCS'2020); LNCS 12142:465-472; https://link.springer.com/chapter/10.1007%2F978-3-030-50433-5_36 (CORE A rank)

Arodz T, 2020. Biological network visualization for targeted proteomics based on mean first-passage time in semi-lazy random walks. 20th International Conference on Computational Science (ICCS'2020); LNCS 12139:539-549; https://link.springer.com/chapter/10.1007/978-3-030-50420-5_40 (CORE A rank)

Chapnevis A, Guvenc I, Bulut E, 2020. Traffic Shifting based Resource Optimization in Aggregated IoT Communication", 45th IEEE Local Computer Networks (LCN), Nov 16-19, 2020. (Core A rank) http://www.people.vcu.edu/~ebulut/LCN20-IoT.pdf

Yucel F, Bulut E, 2020. Time-dependent Stable Task Assignment in Participatory Mobile Crowdsensing, 45th IEEE Local Computer Networks (LCN), Nov 16-19, 2020. http://www.people.vcu.edu/~ebulut/LCN20-crowdsensing.pdf

Yucel F, Bhuyan A, Bulut E, 2020. Secure, Resilient and Stable Resource Allocation for D2D-based V2X Communication, IEEE Resilience Week, Oct, 2020. https://ieeexplore.ieee.org/document/9241290

Bulut E, Dhungana A, 2020. Social-Aware Energy Balancing in Mobile Opportunistic Networks, IEEE 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) - 2nd International Workshop on Wirelessly Powered Systems and Networks (WPSN), July 15-17, 2020. https://ieeexplore.ieee.org/abstract/document/9183404

Dhungana A, Bulut E, 2020. Opportunistic Wireless Crowd Charging of IoT Devices from Smartphones, IEEE 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) - 2nd International Workshop on Wirelessly Powered Systems and Networks (WPSN), July 15-17, 2020. https://ieeexplore.ieee.org/abstract/document/9183664

Hernandez S, Bulut E, 2020. Lightweight and Standalone IoT based WiFi Sensing for Active Repositioning and Mobility, 21st IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), August 31 - September 03, 2020, Cork, Ireland. https://ieeexplore.ieee.org/document/9217780 (Core A rank)

Hernandez S, Bulut E, 2020. Performing WiFi Sensing with Off-the-shelf Smartphones, IEEE International Conference on Pervasive Computing and Communications (Percom) Workshops, 23-27 March 2020, Austin, TX, USA. (Best demo award) https://ieeexplore.ieee.org/document/9156194

Perez J, [...], Cano A, et. al., 2020. An Endocrine and metabolic interactomic approach to identify novel diagnostic/prognostic biomarkers and therapeutic targets in gliomas. 22nd European Congress of Endocrinology, https://www.endocrine-abstracts.org/ea/0070/ea0070aep529.htm

Moyano JM, Gibaja EL, Cios KJ, Ventura S. 2020. Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming. 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom, pp. 1-8, DOI: 10.1109/CEC48606.2020.9185661

Cachi PG, Ventura S, Cios KJ. 2020. Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization. 18th Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, Lisbon. In: Lesot MJ. et al. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2020. Communications in Computer and Information Science, vol 1239, Springer https://link.springer.com/chapter/10.1007%2F978-3-030-50153-2_57

Pham N, Dinh T, Ragheb Zi, Kim T, Bui N, Nguyen P,  Truong H, Banaei-Kashani F, Halbower A, Dinh TN, Vu T, 2020. WAKE: a behind-the-ear wearable system for microsleep detection, 18th International Conference on Mobile Systems, Applications, and Services (MOBISYS’20), (Top CSRankings) https://dl.acm.org/doi/abs/10.1145/3386901.3389032

Truong H, Bui N, Raghebi Z, Ceko M, Pham N, Nguyen P, Nguyen A, Kim T, Siegfried K, Stene E, Tvrdy T, Weinman L, Payne T, Burke D, Dinh TN, D'Mello S, Banaei-Kashani F, Wager T, Goldstein P, Vu T, 2020. Painometry: wearable and objective quantification system for acute postoperative pain, 18th International Conference on Mobile Systems, Applications, and Services (MOBISYS’20), (Top CSRankings), https://dl.acm.org/doi/abs/10.1145/3386901.3389022

Moyano JM, Gibaja EL, Cios KJ, Ventura S, 2020. Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. 24^th European Congress on Artificial Intelligence, ECAI 2020, Santiago de Compostela, Spain, pp. 1379-1386, DOI: 10.3233/FAIA200242

Bonato A, Cranston DW, Huggan M, Marbach T, Mutharasan R, 2020.  The Iterated Local Directed Transitivity Model for Social Networks.  17th Workshop on Algorithms and Models for the Web Graph. Algorithms and Models for the Web Graph, 111-123.  SGH Warsaw School of Economics, Warsaw, Poland (September 21-25, 2020).  Springer: https://link.springer.com/chapter/10.1007/978-3-030-48478-1_8

Chatterjee P, Damevski K, Kraft NA, Pollock L, 2020. Software-related Slack Chats with Disentangled Conversations. 17th International Conference on Mining Software Repositories (MSR 2020), 588-592 Seoul, Korea, June 2020 https://dl.acm.org/doi/10.1145/3379597.3387493 (CORE A rank)

Huang S, Liu Y, Fung C, He R, Zhao Y, Yang H, Luan Z, 2020. Transfer Log-based Anomaly Detection with Pseudo Labels. 2020 16th International Conference on Network and Service Management (CNSM), 1-5 https://ieeexplore.ieee.org/abstract/document/9269069 (CORE rank B)

Fung C, McCormick B, 2020. An Effective Policy Sharing Mechanism for Smart Home Networks. 2020 16th International Conference on Network and Service Management (CNSM), 1-7. https://ieeexplore.ieee.org/abstract/document/9269110. (CORE rank B)

Fung C, Pillai Y, 2020. A Privacy-Aware Collaborative DDoS Defence Network. NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-5. https://ieeexplore.ieee.org/abstract/document/9110330. (CORE rank B)

Huang S, Liu Y, Fung C, He R, Zhao Y, Luan H Z. Paddy, 2020. An Event Log Parsing Approach using Dynamic Dictionary. NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-8. https://ieeexplore.ieee.org/abstract/document/9110435. (CORE rank B)

Huang S, Liu Y, Fung C, An W, He R, Zhao Y, Yang H, Luan Z, 2020. A Gated Few-shot Learning Model For Anomaly Detection. 2020 International Conference on Information Networking (ICOIN), 505-509. https://ieeexplore.ieee.org/abstract/document/9016599. (CORE rank B)

Ramkumar S, Sosnkowski A, Coffman D, Fung C, Levy J, 2020. An Analysis of Twitter Users’ Political Views Using Cross-Account Data Mining. Smart Technologies in Data Science and Communication, 115-121. https://link.springer.com/chapter/10.1007/978-981-15-2407-3_16.

Rana P, Bose P, Vaidya A, Rangachari V, Ghosh P, 2020. Global fitting and parameter identifiability for amyloid-β aggregation models with competing pathways. IEEE BIBE 2020, pp. 1-8.

Roy S, Ghosh N, Ghosh P, Das SK, 2020. BioMCS: A Bio-inspired Collaborative Data Transfer Framework over Fog Computing Platforms in Mobile Crowdsensing. 21st International Conference on Distributed Computing and Networking (ICDCN 2020). Association for Computing Machinery, New York, NY, USA, Article 23, 1–10. DOI:https://doi.org/10.1145/3369740.3369788

Korycki L, Krawczyk B, 2020. Online Oversampling for Sparsely Labeled Imbalanced and Non-Stationary Data Streams. International Joint Conference on Neural Networks (IJCNN 2020): 1-8 Glasgow, United Kingdom, July 2020 https://ieeexplore.ieee.org/document/9207118 (CORE rank A)

Ghadermarzi S, Katuwawala A, Oldfield CJ, Barik A, Kurgan L, 2020. Disordered Function Conjunction: On the In-silico Function Annotation of Intrinsically Disordered Regions. Pacific Symposium on Biocomputing (PSB’2020) 25:171-182, Big Island of Hawaii, USA, January 2020 https://www.worldscientific.com/doi/abs/10.1142/9789811215636_0016

Kurgan L, Radivojac P, Sussman J, Dunker K, 2020. On the Importance of Computational Biology and Bioinformatics to the Origins and Rapid Progression of the Intrinsically Disordered Proteins Field. Pacific Symposium on Biocomputing (PSB’2020) 25:149-158, Big Island of Hawaii, USA, January 2020 https://www.worldscientific.com/doi/10.1142/9789811215636_0014

Seng S, Yang G, Li X, Ji H, and Luo C, 2020. Energy-Efficient Communications in Solar-Powered Unmanned Aerial Systems. IEEE Global Communications Conference (GLOBECOM'20), Taipei, Taiwan, Dec. 7-11, 2020. (to appear in IEEE Xplore) (CORE rank B)

J. Ulrich, C. Rieger, J. Grandio and M. Manic, 2020. Cyber-Physical Architecture for Automated Responses (CyPhAAR) Using SDN in Adversarial OT Environments, 2020 Resilience Week (RWS), Salt Lake City, ID, USA, 2020, pp. 55-63, doi: 10.1109/RWS50334.2020.9241285, https://ieeexplore.ieee.org/document/9241285.

D. Marino, J. Grandio, C. Wickramasinghe, K. Schroeder, K. Bourne,  A.V. Filippas, M. Manic, 2020. AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation, 13th International Conference on Human System Interaction, IEEE HSI 2020, Tokyo, Japan, June 6-8. 2020. https://ieeexplore.ieee.org/document/9142659

C. Wickramasinghe, D. Marino, J. Grandio, and M. Manic, 2020. Trustworthy AI Development Guidelines for Human System Interaction. 13th International Conference on Human System Interaction, IEEE HSI 2020, Tokyo, Japan, June 6-8. 2020. https://ieeexplore.ieee.org/document/9142644

Mahendran D, Gurdin G, Lewinski NA, Tang C, McInnes BT, 2020. NLPatVCU CLEF 2020 ChEMU Shared Task System Description. Conference and Labs of the Evaluation Forum (CLEF) 2020 Working Notes. http://ceur-ws.org/Vol-2696/paper_215.pdf

Gurdin G, Vargas JA, Maffey LG, Olex AL, Lewinski NA, McInnes BT, 2020. Analysis of Inter-Domain and Cross-Domain Drug Review Polarity Classification. American Medical Informatics Association Summits on Translational Science. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233089/

Olex AL, DiazGranados D, McInnes BT, Goldberg S, 2020. Local Topic Mining for Reflective Medical Writing.  American Medical Informatics Association Summits on Translational Science. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233034/

Mahendran D,  Lewis C,  McInnes BT, 2020. NLP@ VCU: Identifying adverse effects in English tweets for unbalanced data. Fifth Social Media Mining for Health  Applications Workshop & Shared Task. https://www.aclweb.org/anthology/2020.smm4h-1.29.pdf Emad Aghajani, Csaba Nagy, Mario Linares-Vásquez,

Pasandi H.B., Nadeem T, 2020. Mac Protocol Design Optimization using Deep Learning. 2020 IEEE International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (pp. 709-715), February, 2020. https://ieeexplore.ieee.org/document/9065254

Pasandi H.B., Nadeem T, 2020. CONVINCE: Collaborative Cross-Camera Video Analytics at the Edge. 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom) Workshops, March 2020. https://ieeexplore.ieee.org/document/9156251

Pasandi H.B., Nadeem T, 2020. Unboxing MAC protocol design optimization using deep learning. 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom) Workshops, March 2020. https://ieeexplore.ieee.org/document/9156196

Laura Moreno, Gabriele Bavota, Michele Lanza, and  Shepherd DC, 2020. Software documentation: the practitioners' perspective. ACM/IEEE 42nd International Conference on Software Engineering (ICSE '20). Association for Computing Machinery, New York, NY, USA, 590–601. DOI:https://doi.org/10.1145/3377811.3380405 (CORE A* rank)

Anastasia Ruvimova, Junhyeok Kim, Thomas Fritz, Mark Hancock, Shepherd DC, 2020. "Transport Me Away": Fostering Flow in Open Offices through Virtual Reality. 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1–14. DOI:https://doi.org/10.1145/3313831.3376724 (CORE A* rank)

Zhang H, Ye C, 2020. DUI-VIO: Depth Uncertainty Incorporated Visual Inertial Odometry based on an RGB-D Camera. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020. http://ras.papercept.net/images/temp/IROS/files/0784.pdf (CORE A rank)

Zhang H, Jin L, Ye C, 2020. The VCU-RVI Benchmark: Evaluating Visual Inertial Odometry for Indoor Navigation Applications with an RGB-D Camera. IEEE/RSJ International Conference on Intelligent Robots and Systems http://ras.papercept.net/images/temp/IROS/files/0685.pdf  (CORE A rank)

L. Jin, H. Zhang, Ye C, 2020. Camera Intrinsic Parameters Estimation by Visual Inertial Odometry for a Mobile Phone with Application to Assisted Navigation. IEEE/ASME International Conference on Advanced Intelligent Mechatronics https://ras.papercept.net/conferences/scripts/rtf/AIM20_ContentListWeb_4.html

Zhang H, Ye C, 2020. A Visual Positioning System for Indoor Blind Navigation. IEEE International Conference on Robotics and Automation https://ieeexplore.ieee.org/document/9196782  (CORE B rank)

Jin L, Zhang H, Ye C, 2020. Human-Robot Interaction for Assisted Object Grasping by a Wearable Robotic Object Manipulation Aid for the Blind. IEEE International Conference on Human-Machine Systems https://ieeexplore.ieee.org/document/9209377

Tuyet Duong, Lei Fan, Jonathan Katz, Phuc Thai, Hong-Sheng Zhou, 2020. 2-hop Blockchain: Combining Proof-of-Work and Proof-of-Stake Securely. ESORICS (2) 2020: 697-712 (CORE A rank) https://link.springer.com/chapter/10.1007%2F978-3-030-59013-0_34

Anne Broadbent, Sevag Gharibian, Hong-Sheng Zhou, 2020. Towards Quantum One-Time Memories from Stateless Hardware. TQC 2020: 6:1-6:25 https://drops.dagstuhl.de/opus/volltexte/2020/12065/

Syed K, Sleeman WC, Nalluri JJ, Kapoor R, Hagan M, Palta J, & Ghosh P, 2020. Artificial intelligence methods in computer-aided diagnostic tools and decision support analytics for clinical informatics. In Artificial Intelligence in Precision Health (pp. 31–59). Elsevier. https://doi.org/10.1016/b978-0-12-817133-2.00002-1

Wu Z, Hu G, Oldfield CJ, Kurgan L, 2020. Prediction of Intrinsic Disorder with Quality Assessment Using QUARTER, In: Kihara D, (Ed.), Methods in Molecular Biology, vol. 2165, pp. 83-101, Springer Nature (ISBN 978-1-0716-0707-7) https://link.springer.com/protocol/10.1007/978-1-0716-0708-4_5

Oldfield CJ, Fan X, Wang, C, Dunker K, Kurgan L, 2020. Computational Prediction of Intrinsic Disorder in Protein Sequences with the disCoP Meta-predictor, In: Kragelund B and Skriver K (Eds), Methods in Molecular Biology, vol. 2141, pp. 21-35, Springer Nature (ISBN 978-1-0716-0523-3) https://link.springer.com/protocol/10.1007/978-1-0716-0524-0_2

Barik A, Kurgan L, 2020. A Comprehensive Overview of Sequence-Based Protein-Binding Residue Predictions for Structured and Disordered Regions, In: Gromiha M, (Ed.), Protein Interactions: Computational Methods, Analysis and Applications, pp. 33-58, World Scientific (ISBN: 978-981-121-187-4) https://www.worldscientific.com/doi/abs/10.1142/9789811211874_0002

Shen X, Shen T, Afsar M R, Ye C, 2020. Motorized robotic walker guided by an image processing system for human walking assistance, US Patent 10,667,980, issued on June 2, 2020

CG Rieger, TR Mcjunkin, M Manic, K Amarasinghe, Systems And Methods For Control System Security, US Patent.No. 10,896,261, Publication date January 19, 2021.

Serrano MG, Parikh HI, Brooks JP, Edwards DJ, Arodz T, Edupuganti L, Huang B, Girerd PH, Bokhari YA, Bradley SP, Brooks JL, Dickinson MR, Drake JI, Duckworth RA, Fong SS, Glascock AL, Jean S, Jimenez NR, Khoury J, Koparde VN, Lara AM, Lee V, Matveyev AV, Milton SH, Mistry SD, Rozycki SK, Sheth NU, Smirnova E, Vivadelli SC, Wijesooriya NR, Xu J, Xu P, Chaffin DO, Sexton AL, Gravett MG, Rubens CE, Hendricks-Muñoz KD, Jefferson KK, Strauss JF, Fettweis JM, Buck GA. 2019. Racioethnic diversity in the dynamics of the vaginal microbiome during pregnancy. Nature Medicine 25(6):1001-1011. https://www.nature.com/articles/s41591-019-0465-8 IF: 30.641

Fettweis JM, Serrano MG, Brooks JP, Edwards DJ, Girerd PH, Parikh HI, Huang B, Arodz T, Edupuganti L, Glascock  AL, Xu J, Jimenez NR, Vivadelli SC, Fong SS, Sheth NU, Jean S, Lee V, Bokhari YA, Lara AM, Mistry SD, Duckworth RA, Bradley SP, Koparde VN, Orenda XV, Milton SH, Rozycki SK, Matveyev AV, Wright ML, Huzurbazar SV, Jackson EM, Smirnova E, Korlach J, Tsai YC, Dickinson MR, Brooks JL, Drake JI, Chaffin DO, Sexton AL, Gravett MG, Rubens CE, Wijesooriya NR, Hendricks-Muñoz KD, Jefferson KK, Strauss JF, Buck GA. The vaginal microbiome and preterm birth. Nature Medicine 25(6):1001-1011. https://www.nature.com/articles/s41591-019-0450-2 IF: 30.641

Dhungana A, Arodz T and Bulut E, 2019. Exploiting peer-to-peer wireless energy sharing for mobile charging relief, Ad Hoc Networks 91 (2019): 101882, doi:10.1016/j.adhoc.2019.101882 https://www.sciencedirect.com/science/article/abs/pii/S1570870518305651 IF: 3.49

Dhungana A, Bulut E, 2019. Peer-to-peer energy sharing in mobile networks: Applications, challenges, and open problems, doi: 10.1016/j.adhoc.2019.102029 https://www-sciencedirect-com.proxy.library.vcu.edu/science/article/pii/S1570870519306018 IF: 3.49

Bulut E, Kisacikoglu M, Akkaya K, 2019. Spatio-Temporal Non-intrusive Direct V2V Charge Sharing Coordination, IEEE Transactions on Vehicular Technology (TVT), 68.10 (2019): 9385-9398, doi: 10.1109/TVT.2019.2931954 https://ieeexplore.ieee.org/abstract/document/8782558 IF: 5.33 

Cano A, Krawczyk B, 2019. Kappa Updated Ensemble for Drifting Data Stream Mining. Machine Learning, doi: 10.1007/s10994-019-05840-z https://link.springer.com/article/10.1007/s10994-019-05840-z IF: 2.81

Gonzalez J, Ventura S, Cano A, 2019. Distributed selection of continuous features in multi-label classification using mutual information. IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2019.2944298 https://ieeexplore.ieee.org/document/8877992 IF: 11.68

Gonzalez J, Ventura S, Cano A, 2019. Distributed multi-label feature selection using individual mutual information measures. Knowledge-Based Systems, doi: 10.1016/j.knosys.2019.105052 https://www.sciencedirect.com/science/article/abs/pii/S0950705119304459 IF: 5.10

Roseberry M, Krawczyk B, Cano A, 2019. Multi-label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams. ACM Transactions on Knowledge Discovery from Data, 13(6):60 https://dl.acm.org/citation.cfm?doid=3366748.3363573 IF: 2.54

Cano A, Krawczyk B, 2019. Evolving Rule-Based Classifiers with Genetic Programming on GPUs for Drifting Data Streams. Pattern Recognition, 87:248-268 https://www.sciencedirect.com/science/article/abs/pii/S0031320318303765 IF: 5.90

Cano A, Leonard J, 2019. Interpretable Multi-view Early Warning System adapted to Underrepresented Student Populations. IEEE Transactions on Learning Technologies, 12(2):198-211 https://ieeexplore.ieee.org/abstract/document/8691619 IF: 2.32

Djenouri Y, Belhadi A, Lin J, Djenouri D, Cano A, 2019. A Survey on Urban Traffic Anomalies Detection Algorithms. IEEE Access, 7:12192-12205 https://ieeexplore.ieee.org/document/8612931 IF: 4.10

Djenouri Y, Belhadi A, Lin J, Cano A. Adapted k Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow. IEEE Access, 7:10015-10027 https://ieeexplore.ieee.org/document/8613036 IF: 4.10

Skryjomski P, Krawczyk B, Cano A. Speeding up k-Nearest Neighbors Classifier for Large-Scale Multi-Label Learning on GPUs. Neurocomputing, 354:10-19 https://www.sciencedirect.com/science/article/pii/S0925231219304588 IF: 4.07

Nishi MA, Damevski K, 2019. Automatically Identifying Valid API Versions for Software Development Tutorials on the Web. Journal of Software: Evolution and Process, https://onlinelibrary.wiley.com/doi/full/10.1002/smr.2227 IF: 1.30

Chen H, Damevski K, Shepherd DC, Kraft NA, 2019. Modeling Hierarchical Usage Context for Software Exceptions based on Interaction Data. Journal of Automated Software Engineering, https://link.springer.com/article/10.1007/s10515-019-00265-3 IF: 2.20

Chen H, Coogle J, Damevski K, 2019. Modeling Stack Overflow Tags and Topics as a Hierarchy of Concepts. Journal of Systems and Software, https://www.sciencedirect.com/science/article/pii/S0164121219301499 IF: 2.56

Li X, Smith JD, Dinh T, Thai  M. 2019. TipTop: Almost Exact Solutions for Influence Maximization in Billion-Scale Networks. IEEE/ACM Transactions on Networking (TON) 27. https://ieeexplore.ieee.org/document/8661545. IF: 2.19

Nguyen H, Cano A, Tam V, Dinh T, 2019. Blocking Self-avoiding Walks Stops Cyber-epidemics: A Scalable GPU-based Approach. IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2019.2904969 https://ieeexplore.ieee.org/document/8666777 IF: 3.86

Jakaria AHM, Rahman MA, Fung C, 2019. A Requirement-Oriented Design of NFV Topology by Formal Synthesis. IEEE Transaction on Network and Service Management. 16(4)  IF: 4.68

Fung C, François J, Cordeiro W, Zhani MF, 2019. Advanced security management. International Journal of Network Management 29(3) IF: 1.23

Fung C, Rashidi B, Motti VG, 2019. Multi-View Permission Risk Notification for Smartphone System. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA). 10(1):42-57. IF: 0.42

Rana, P, Berry, C, Ghosh, P, Fong, SS. Recent advances on constraint-based models by integrating machine learning. Current Opinion in Biotechnology, 64: 85-91, 2020 (eprint ahead of pub). https://www.sciencedirect.com/science/article/pii/S095816691930117X  IF: 8.083

Reddy, D, Ghosh, P, Kumavath, R. Strophanthidin attenuates MAPK, PI3K/AKT/mTOR and Wnt/β-catenin signaling pathways in Human Cancers. Frontiers in Oncology, 2019. https://www.frontiersin.org/articles/10.3389/fonc.2019.01469/abstract  IF: 4.137

Almeida, MO, do Carmo, FLR, Gala-García, A, Kato, R, Gomide, AC, Drummond, RMN, Drumond, MM, Agresti, PM, Barh, D, Brening, B, Ghosh, P, Silva, A, Azevedo, V, Viana, MVC. Lactobacillus crispatus protects against bacterial vaginosis. Genetics and Molecular Research, 18(4), 2019. https://www.geneticsmr.com/articles/lactobacillus-crispatus-protects-against-bacterial-vaginosis  IF: 0.78

Ivanova, ME, Zolnikova, IV, Gorgisheli, KV, Atarshchikov, DS, Ghosh, P and Barh, D. Novel frameshift mutation in NYX gene in a Russian family with complete congenital stationary night blindness. Opthalmic Genetics, 2019. https://www.tandfonline.com/doi/full/10.1080/13816810.2019.1698617  IF: 1.285

Imchen, M, Vennapu, R, Ghosh, P, Kumavath, R. Insights into antagonistic interactions of multidrug resistant bacteria in mangrove sediments from the south Indian state of Kerala. MDPI Microorganims, 7(12): 678, 2019. https://www.mdpi.com/2076-2607/7/12/678  IF: 4.167

Reddy, D, Kumavath, R, Ghosh, P, Barh, D. Lanatoside C induces G2/M cell cycle arrest and suppresses cancer cell growth by attenuating MAPK/Wnt, JAK/STAT, and PI3K/AKT/mTOR signaling pathways. MDPI Biomolecules, 9(12): 792, 2019. https://www.mdpi.com/2218-273X/9/12/792  IF: 4.694

Morais-Rodrigues F, Silv Erio-Machado R, Kato RB, Rodrigues DLN, Valdez-Baez J, Fonseca V, San EJ, Gomes LGR, Dos Santos RG, Vinicius Canário Viana M, da Cruz Ferraz Dutra J, Teixeira Dornelles Parise M, Parise D, Campos FF, de Souza SJ, Ortega JM, Barh D, Ghosh P, Azevedo V, Dos Santos MA. Analysis of the microarray gene expression for breast cancer progression after the application modified logistic regression. Elsevier Gene, 2019. https://www.sciencedirect.com/science/article/abs/pii/S0378111919308273?via%3Dihub  IF: 2.638

Sousa TJ, Parise D, Profeta R, Parise MTD, Gomide ACP, Kato RB, Pereira FL, Figueiredo HCP, Ramos R, Brenig B, Costa da Silva ALD, Ghosh P, Barh D, Góes-Neto A, Azevedo V. Re-sequencing and optical mapping reveals misassemblies and real inversions on Corynebacterium pseudotuberculosis genomes. Nature Scientific Reports, 9(1): 16387, 2019. https://doi.org/10.1038/s41598-019-52695-4   IF: 4.525

Imchen, M, Kumavath, R, Vaz, A, Góes-Neto, A, Barh, D, Ghosh, P, Kozyrovska, N, Podolich, O, and Azevedo, V. 16S rRNA gene amplicon based metagenomic signatures of rhizobiome community in rice field during various growth stages. Frontiers in Microbiology, 10: 2103, 2019. https://www.frontiersin.org/articles/10.3389/fmicb.2019.02103/full   IF: 4.259

Ibraim IC, Parise MTD, Parise D, Sfeir MZT, de Paula Castro TL, Wattam AR, Ghosh P, Barh D, Souza EM, Góes-Neto A, Gomide ACP, Azevedo V.  Transcriptome Profile of Corynebacterium pseudotuberculosis in Response to Iron Limitation. BMC Genomics, 20(1): 663, 2019. https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-019-6018-1  IF: 4.142

Rana, P, Franco, EF, Rao, Y, Syed, K, Barh, D, Azevedo, V, Ramos, RTJ, Ghosh, P. Evaluation of the genomic basis for Alzheimer’s and Parkinson’s Diseases. Int. J. Mol. Sci., 20:3730, 2019. https://www.mdpi.com/1422-0067/20/15/3730  IF: 4.183

Vilela Rodrigues, T, Jaiswal, A, Ferreira, A, Oliveira, L, Oliveira, CJ, Tiwari, S, Ghosh, P, Benevides, L, Miranda, FM, Azevedo, V, Soares, S. Reverse Vaccinology and Subtractive Genomics reveals new therapeutic targets against Mycoplasma pneumoniae, a causative agent of pneumonia. Royal Society Open Science, 6(7), 2019. https://royalsocietypublishing.org/doi/full/10.1098/rsos.190907   IF: 2.515

Divyashree, M, Mani, MK, Reddy, D, Kumavath, R, Ghosh, P, Azevedo, V, Barh, D. Clinical Applications of Antimicrobial Peptides (AMPs): where do we stand now? Protein & Peptide Letters, 2019. http://www.eurekaselect.com/175117/article   IF: 1.168

Acosta-Smith, E, León-Sicairos, N, Barh, D, Tiwari, S, Flores-villaseñor, HM, Canizalez-Roman, A, Ghosh, P and Azevedo, V. Piper betel compounds Piperidine, Eugenyl acetate, and Chlorogenic acid are broad-spectrum anti-Vibrio compounds that are also effective on MDR strains of the pathogen.  MDPI Pathogens, 8(2): 64, 2019. https://www.mdpi.com/2076-0817/8/2/64 IF: 3.405

Da Silva, WM, Oliveira, LC, Soares, SC, Sousa, CS, Tavares, GC, Resende, CP, Pereira, FL, Ghosh, P, Figueiredo, HCP, Azevedo, V. Quantitative proteomic analysis of the response of probiotic putative Lactocuccus lactis NCDO 2118 strain to different oxygen availability under temperature variation. Frontiers in Microbiology, 2019. https://www.frontiersin.org/articles/10.3389/fmicb.2019.00759/full IF: 4.259

Das, S, Pidaparti, R and Ghosh, P. An integrated parametric model for MT self-assembly formation analysis, Biosystems 176: 6-12, 2019. https://www.sciencedirect.com/science/article/pii/S0303264718302211   IF: 1.623

Tiwari, S, Barh, D, Imchen, M, Rao, E, Kumavath, R, Seenivasan, S, Jaiswal, AK, Jamal, SB, Kumar, V, Ghosh, P, Azevedo, V. Acetate kinase (AcK) is essential for microbial growth and betel compounds potentially target AcK, PhoP, and MDR proteins in M. tuberculosis, V. cholerae, and pathogenic E. coli: An in silico and in vitro study, Curr Top Med Chem. 2019 Jan 20. https://www.ingentaconnect.com/contentone/ben/ctmc/2018/00000018/00000031/art00008  IF: 3.442

Krawczyk B, Koziarski M, Wozniak M, 2019. Radial-based Oversampling for Multiclass Imbalanced Data Classification. IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2019.2913673 https://ieeexplore.ieee.org/abstract/document/8743475 IF: 11.68

Cano A, Krawczyk B, 2019. Evolving Rule-Based Classifiers with Genetic Programming on GPUs for Drifting Data Streams. Pattern Recognition, 87:248-268 https://www.sciencedirect.com/science/article/abs/pii/S0031320318303765 IF: 5.90

Gómez-Ríos A, Tabik S, Luengo J, Shihavuddin ASM, Krawczyk B, Herrera F, 2019. Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation. Expert Systems with Applications 118: 315-328 https://www.sciencedirect.com/science/article/pii/S0957417418306523 IF: 4.29

Sáez JA, Galar M, Krawczyk B, 2019. Addressing the Overlapping Data Problem in Classification Using the One-vs-One Decomposition Strategy. IEEE Access 7: 83396-83411 https://ieeexplore.ieee.org/document/8746159 IF: 4.10

Koziarski M, Krawczyk B, Wozniak M, 2019. Radial-Based Oversampling for Noisy Imbalanced Data Classification. Neurocomputing 343: 19-33 https://www.sciencedirect.com/science/article/pii/S0925231219301596 IF: 4.07

Skryjomski P, Krawczyk B, Cano A. Speeding up k-Nearest Neighbors Classifier for Large-Scale Multi-Label Learning on GPUs. Neurocomputing, 354:10-19 https://www.sciencedirect.com/science/article/pii/S0925231219304588 IF: 4.07

Cano JR, Gutiérrez PA, Krawczyk B, Wozniak M, García S, 2019. Monotonic Classification: An Overview on Algorithms, Performance Measures and Data Sets. Neurocomputing 341: 168-182 https://www.sciencedirect.com/science/article/pii/S0925231219302383 IF: 4.07

Cano A, Krawczyk B, 2019. Kappa Updated Ensemble for Drifting Data Stream Mining. Machine Learning, doi: 10.1007/s10994-019-05840-z https://link.springer.com/article/10.1007/s10994-019-05840-z IF: 2.81

Roseberry M, Krawczyk B, Cano A, 2019. Multi-label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams. ACM Transactions on Knowledge Discovery from Data, 13(6):60 https://dl.acm.org/citation.cfm?doid=3366748.3363573 IF: 2.54

Krawczyk B, Triguero I, García S, Wozniak M, Herrera F, 2019. Instance Reduction for One-Class Classification. Knowledge and Information Systems 59(3): 601-628 https://link.springer.com/article/10.1007%2Fs10115-018-1220-z IF: 2.40

Yan J, Cheng J, Kurgan L, Uversky VN, 2019. Structural and Functional Analysis of “Non-smelly” Proteins. Cellular and Molecular Life Sciences, doi: 10.1007/s00018-019-03292-1 https://link.springer.com/article/10.1007/s00018-019-03292-1 IF: 7.01

Ghadermarzi S, Li X, Li M, Kurgan L, 2019. Sequence-derived Markers of Drug Targets and Potentially Druggable Human Proteins. Frontiers in Genetics, doi: 10.3389/fgene.2019.01075 https://www.frontiersin.org/articles/10.3389/fgene.2019.01075/full IF: 3.52

Li F, Chen J, Leier A, Marquez-Lago T, Liu Q, Wang Y, Revote J, Smith A, Akutsu T, Webb GI, Kurgan L, Song J, 2019. DeepCleave: A Deep Learning Predictor for Caspase and Matrix Metalloprotease Substrates and Cleavage Sites, Bioinformatics, doi: 10.1093/bioinformatics/btz721 IF: 4.53

Katuwawala A, Oldfield CJ, Kurgan L, 2019. DISOselect: Disorder Predictor Selection at the Protein Level. Protein Science, doi: 10.1002/pro.3756 https://onlinelibrary.wiley.com/doi/full/10.1002/pro.3756 IF: 2.42

Katuwawala A, Oldfield CJ, Kurgan L, 2019. Accuracy of Protein-level Disorder Predictions. Briefings in Bioinformatics, doi: 10.1093/bib/bbz100, IF: 9.10

Oldfield CJ, Peng Z, Uversky VN, Kurgan L, 2019. Codon Selection Reduces GC Content Bias in Nucleic Acids Encoding for Intrinsically Disordered Proteins. Cellular and Molecular Life Sciences, doi: 10.1007/s00018-019-03166-6 https://link.springer.com/article/10.1007%2Fs00018-019-03166-6 IF: 7.01

Amirkhani A, Kolahdoozi M, Wang C, Kurgan L, 2019. Prediction of DNA-Binding Residues in Local Segments of Protein Sequences with Fuzzy Cognitive Maps. IEEE/ACM Transactions on Computational Biology and Bioinformatics, doi: 10.1109/TCBB.2018.2890261 https://ieeexplore.ieee.org/document/8594649 IF: 2.90

Zhang J, Kurgan L, 2019. SCRIBER: Accurate and Partner Type-specific Prediction of Protein-binding Residues from Proteins Sequences. Bioinformatics, 35(14):i343–i353 IF: 4.53

Zhang F, Song H, Zeng M, Li Y, Kurgan L, Li M, 2019. DeepFunc: A Deep Learning Framework for Accurate Prediction of Protein Functions from Protein Sequences and Interactions. Proteomics, 19(12):e1900019 https://onlinelibrary.wiley.com/doi/full/10.1002/pmic.201900019 IF: 3.11

Groenendyk J, Fan Z, Peng Z, Kurgan L, Michalak M, 2019. Endoplasmic Reticulum and the MicroRNA Environment in the Cardiovascular System. Canadian Journal of Physiology and Pharmacology, 97(6):515-527 IF: 2.04

Katuwawala A, Peng Z, Yang J, Kurgan L, 2019. Computational Prediction of MoRFs, Short Disorder-to-order Transitioning Protein Binding Regions. Computational and Structural Biotechnology Journal, 17:454-46 https://www.sciencedirect.com/science/article/pii/S2001037019300340 IF: 4.72

Brown P, RELISH Consortium (Kurgan L and 1500 other members), Zhou Y, 2019. Large Expert-curated Database for Benchmarking Document Similarity Detection in Biomedical Literature Search. Database, doi: 10.1093/database/baz085 IF: 3.68

Li X, Luo C, Ji H, Zhuang Y, Zhang H, Leung V, 2019. Energy Consumption Optimization for Self-powered IoT Networks with Non-orthogonal Multiple Access. International Journal of Communication Systems. Database, doi: 10.1002/dac.4174, https://onlinelibrary.wiley.com/doi/abs/10.1002/dac.4174 IF: 1.278

Bishnu PB, Paudyal S, Luo Y, Mohanpurkar M, Cheung K, Tonkoski R, Hovsapian R, Myers KS, Zhang R, Zhao P, Manic M, Zhang S, Zhang X. 2019. Big Data Analytics in Smart Grids: State-of-the-Art, Challenges, Opportunities, and Future Directions, IET Smart Grid, vol. 2, no. 2, pp. 141-154. (IF not available)

Marino D, Manic M. 2019. Modeling and Planning under Uncertainty using Deep Neural Networks, IEEE Transactions on Industrial Informatics, vol. 15, no. 8, pp. 4442-4454. https://ieeexplore.ieee.org/document/8717678. IF: 7.37

Damiano A, Rieger C, Vyatkin V, Manic M. 2019. Resilience in Energy Industries—Recent Advances, Open Challenges, and Future Directions, Special Section Editorial, IEEE Transactions on Industrial Informatics, vol. 15, no. 7, pp. 4315-4318. https://ieeexplore.ieee.org/document/8755903. IF: 7.37

Yan X, Ye Y, Qiu X, Manic M, Yu H. 2019. CMIB: Unsupervised Image Object Categorization in Multiple Visual Contexts, IEEE Transactions on Industrial Informatics ( Early Access). https://ieeexplore.ieee.org/document/8823028 IF: 7.37

Wickramasinghe CS, Amarasinghe K, Manic M. 2019. Deep Self-Organizing Maps for Unsupervised Image Classification, IEEE Transactions on Industrial Informatics, vol. 15, no. 11, pp. 5837-5845. https://ieeexplore.ieee.org/document/8669852. IF: 7.37

Henry S, McInnes BT. Indirect association and ranking hypotheses for literature based discovery. BMC bioinformatics. 20 (1), 425, 2019. https://link.springer.com/article/10.1186/s12859-019-2989-9. IF: 2.213.

Henry S, McQuilkin A,  McInnes BT. Association measures for estimating semantic similarity and relatedness between biomedical concepts. Artificial intelligence in medicine, 93, 1-10, 2019. https://www.sciencedirect.com/science/article/pii/S0933365717304475. IF: 3.574

Garousi V, Shepherd DC and Herkiloglu K. Successful Engagement of Practitioners and Software Engineering Researchers: Evidence From 26 International Industry-Academia Collaborative Projects, in IEEE Software, 2019. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8704922&isnumber=5204063. IF:  2.945

Garousi V, Pfahl D, Fernandes J, Felderer M, Mäntylä M, Shepherd DC, Arcuri A, Coşkunçay A, Tekinerdogan B. Characterizing industry-academia collaborations in software engineering: evidence from 101 projects, Empir Software Eng (2019) 24: 2540. https://doi.org/10.1007/s10664-019-09711-y IF: 4.457

Murphy-Hill E, Jaspan C, Sadowski C, Shepherd DC, Phillips M, Winter C, Knight A, Smith E, Jorde M., What Predicts Software Developers' Productivity?, IEEE Transactions on Software Engineering. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8643844&isnumber=4359463 IF: 3.272

Henry RS, Perrin PB, Coston BM, Witten TM. 2019. Transgender and gender non-conforming adult preparedness for aging: Concerns for aging, and familiarity with and engagement in planning behaviors. Int. J.Transgenderism, https://doi.org/10.1080/15532739.2019.1690612 IF 2.325

Seung Geol Choi, Jonathan Katz, Dominique Schröder, Arkady Yerukhimovich, Hong-Sheng Zhou: (Efficient) Universally Composable IF: 1.237

Dana Dachman-Soled, S. Dov Gordon, Feng-Hao Liu, Adam O'Neill, Hong-Sheng Zhou: Leakage Resilience from Program Obfuscation. J. Cryptology 32(3): 742-824 (2019) CORE rank A*; IF: 1.237:

Qasim A, Lopez J, Ahmed I, 2019. Automated Reconstruction of Control Logic for Programmable Logic Controller Forensics. In: Lin Z., Papamanthou C., Polychronakis M. (eds) Information Security. ISC 2019. Lecture Notes in Computer Science, vol 11723. Springer, Cham, DOI:https://doi.org/10.1007/978-3-030-30215-3_20 https://link.springer.com/chapter/10.1007/978-3-030-30215-3_20 (CORE rank B)

Yoo H, Ahmed I, 2019. Control Logic Injection Attacks on Industrial Control Systems. In: Dhillon G., Karlsson F., Hedström K., Zúquete A. (eds) ICT Systems Security and Privacy Protection. SEC 2019. IFIP Advances in Information and Communication Technology, vol 562. Springer, Cham, DOI:https://doi.org/10.1007/978-3-030-22312-0_3 https://link.springer.com/chapter/10.1007/978-3-030-22312-0_3  (CORE rank B)

Yoo H., Kalle S, Smith J, Ahmed I, 2019. Overshadow PLC to Detect Remote Control-Logic Injection Attacks. In: Perdisci R., Maurice C., Giacinto G., Almgren M. (eds) Detection of Intrusions and Malware, and Vulnerability Assessment. DIMVA 2019. Lecture Notes in Computer Science, vol 11543. Springer, Cham, DOI:https://doi.org/10.1007/978-3-030-22038-9_6 https://link.springer.com/chapter/10.1007/978-3-030-22038-9_6 (CORE rank C)

Kalle S, Ameen N, Yoo H, Ahmed I, 2019. CLIK on PLCs! Attacking control logic with decompilation and virtual PLC. In: Binary Analysis Research (BAR) Workshop, Network and Distributed System Security Symposium (NDSS). 

Deshpande P, Ahmed I, 2019. Topological Scoring of Concept Maps for Cybersecurity Education. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE '19). ACM, New York, NY, USA, 731-737. DOI: https://doi.org/10.1145/3287324.3287495 https://dl.acm.org/citation.cfm?id=3287495 (CORE rank A)

Deshpande P, Lee C, Ahmed I, 2019. Evaluation of Peer Instruction for Cybersecurity Education. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE '19). ACM, New York, NY, USA, 720-725. DOI: https://doi.org/10.1145/3287324.3287403 https://dl.acm.org/citation.cfm?id=3287403 (CORE rank A)

Ahmed I, 2019. Ladder Logic Decompiler for Supervisory Control and Data Acquisition (SCADA) Network Forensic. In Proceedings of the 71st Annual Meeting of the American Academy of Forensic Sciences 

Weems C, Richard G, Ahmed I, Russell J, Neill E, Monica M, 2019. Susceptibility and Resilience to Cyber Threat:  Findings from a Scenario Decision Program to Measure Secure and Insecure Computing Behavior. In International Convention of PsychologicalScience (ICPS), March 2019, Paris, France. (Poster)

Dhungana A, Bulut E, 2019. Mobile Energy Balancing in Heterogeneous Opportunistic Networks, in Proceedings of the 16th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), Monterey, CA, USA, November 4 - 7. (CORE rank B)

Dhungana A, Bulut E, 2019. Loss-Aware Efficient Energy Balancing in Mobile Opportunistic Networks, in Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), 9-13 December 2019, Waikoloa, HI, USA. (CORE rank B)

Yucel F, Bulut E, 2019. Joint Optimization of System and User oriented Task Assignment in Mobile Crowdsensing, in Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), 9-13 December 2019, Waikoloa, HI, USA. (CORE rank B)

Hernandez S, Bulut E, 2019. TrinaryMC: Monte Carlo Based Anchorless Relative Positioning for Indoor Positioning, in Proceedings of IEEE Consumer Communications & Networking Conference (CCNC), 10-13 January 2020, Las Vegas, USA. (CORE rank B)

Yucel F, Bulut E, 2019. Location-dependent Task Assignment for Opportunistic Mobile Crowdsensing, in Proceedings of IEEE Consumer Communications & Networking Conference (CCNC), 10-13 January 2020, Las Vegas, USA. (CORE rank B)

Erdin E, Cebe M, Akkaya K, Bulut E, Uluagac S, 2019. A Heuristic-based Private Bitcoin Payment Network Formation Using Off-Chain Links, in Proceedings of The International Conference on Blockchain (Blockchain-2019), Atlanta, July 14-17.

Dhungana A, and Bulut E, 2019. Energy sharing based Content Delivery in Mobile Social Networks, in Proceedings of 20th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Washington D.C., June (acceptance ratio 16%). https://ieeexplore-ieee-org.proxy.library.vcu.edu/document/8793005 (CORE rank A)

Bulut E, Yuksel M, 2019. Integrating In-Network Computing for Secure and Efficient Cascaded Delivery in DTNs, in Proceedings  of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019), Workshop on Network Meets Intelligent Computations (NMIC), Dallas, July. https://ieeexplore-ieee-org.proxy.library.vcu.edu/document/8815626 

Chaudhry S, Bulut E, Yuksel M, 2019. A Distributed SDN Application for Cross-Institution Data Access, in Proceedings of 28th International Conference on Computer Communications and Networks (ICCCN 2019), July. https://ieeexplore-ieee-org.proxy.library.vcu.edu/document/8846921(CORE rank A)

Ucer E, Buckreus R, Kisacikoglu MC, Bulut E, Guven M, Sozer Y, Giubbolini L, 2019. A Flexible V2V Charger as a New Layer of Vehicle-Grid Integration Framework, in Proceedings of IEEE Transportation Electrification Conference (ITEC). https://ieeexplore.ieee.org/abstract/document/8790483

Bulut E, Guvenc I, Akkaya K, 2019. Privacy Preserving Distributed Matching for Device-to-Device IoT Communications, in Proceedings of The 12th ACM Conference on Security and Privacy (ACM WiSec), Miami, May (Poster). https://dl.acm.org/citation.cfm?id=3326309

Chowdhury MU, Maeng SJ, Guvenc I, Bulut E, 2019. Effects of 3D antenna radiation and two-hop relaying on optimal UAV trajectory in cellular networks, in Proceedings of IEEE Aerospace Conference, Big Sky, MT, March. https://ieeexplore-ieee-org.proxy.library.vcu.edu/document/8742119

Chowdhury MU, Bulut E, Guvenc I, 2019. Trajectory Optimization in UAV-Assisted Cellular Networks under Mission Duration Constraint, in Proceedings of IEEE Radio & Wireless Week (RWS), Orlando, Jan. https://ieeexplore-ieee-org.proxy.library.vcu.edu/document/8714567

Korycki L, Cano A, Krawczyk B, 2019. Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams. IEEE BigData. (acceptance rate 19.7%)

Krawczyk B, Cano A, 2019. Adaptive ensemble active learning for drifting data stream mining. International Joint Conference on Artificial Intelligence, 2763-2771 https://www.ijcai.org/proceedings/2019/0383.pdf (CORE rank A*)

Gonzalez J, Ventura S, Cano A, 2019. ARFF data source library for distributed single/multiple instance, single/multiple output learning on Apache Spark. International Conference on Computational Science, 173-179, https://link.springer.com/chapter/10.1007/978-3-030-22744-9_13 (CORE rank A) 

Moyano J, Gibaja E, Ventura S, Cano A, 2019. Speeding up Classifier Chains in Multi-Label Classification. International Conference on Internet of Things, Big Data and Security, 29-37, http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007614200290037 

Chatterjee P, Damevski K, Pollock L, Augustine V, Kraft NA, 2019. Exploratory Study of Slack Q&A Chats as a Mining Source for Software Engineering Tools. International Conference on Mining Software Repositories (MSR’19), Montreal, Canada, https://dl.acm.org/citation.cfm?id=3341883.3341961 (CORE rank A) 

Nishi MA, Ciborowska A, Damevski K, 2019. Characterizing Duplicate Code Snippets between Stack Overflow and Tutorials. International Conference on Mining Software Repositories (MSR’19) - Mining Challenge, Montreal, Canada, https://dl.acm.org/citation.cfm?id=3341927 (CORE rank A)

Chen H, Ciborowska A, Damevski K, 2019. Using Automated Prompts for Student Reflection on Computer Security Concepts. ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE’19), Aberdeen, UK, https://dl.acm.org/citation.cfm?id=3319731 (CORE rank A)

Thai PD, Dinh TN. 2018.  Hop-Based Sketch for Large-Scale Influence Analysis. 8th International Conference, (CSoNet'19), HCM City, Vietnam. https://link.springer.com/chapter/10.1007/978-3-030-34980-6_12  

Nguyen LN, Nguyen TDT, Dinh TN,  Thai MT. 2019. OptChain: Optimal Transactions Placement for Scalable Blockchain Sharding. 39thIEEE International Conference on Distributed Computing Systems, Dallas, TX, USA. https://conferences.computer.org/icdcs/2019/pdfs/ICDCS2019-49XpIlu3rRtYi2T0qVYnNX/70i1KKH9y3F9ZUPHt1HHn1/3VWiUa2Mop58ZqsQPv0fQ2.pdf (CORE Rank A)

Bui N, Pham N, Barnitz J, Zou Z, Nguyen P, Truong H, Kim T,  Nguyen A, Farrow N, Xiao J, Deterding R, Dinh T, Vu T, 2019. eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear. The 25th ACM International Conference on Mobile Computing and Networking (MOBICOM'19), Los Carbos, Mexico. (CORE Rank A*) [--- Best Paper Award ---]

Narasareddygari, MR, Walia, GS, Duke, DM, Ramasamy, V, Kiper, J, Davis, DL, ... & Alomari, HW, 2019. Evaluating the Impact of Combination of Engagement Strategies in SEP-CyLE on Improve Student Learning of Programming Concepts. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (pp. 1130-1135). ACM. https://dl.acm.org/citation.cfm?doid=3287324.3287413 (CORE rank A)

Duke, DM,  Thirunarayanan, M,  Byram, A, & Clarke, PJ, 2019. Students’ Perceptions Of the Implementation of a Cyberlearning Tool Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. https://peer.asee.org/33316

Borchert, O, Byram, A, Duke, DM, Radermacher, AD, Narasareddygari, MR, Walia, GS, 2019. Experiences Using a Cyber Learning Environment in CS1 Classrooms Paper presented at 2019 ASEE Annual Conference & Exposition, Tampa, Florida. https://peer.asee.org/32791

Sosnkowski A, Ramkumar S, Coffman D, Fung C, Levy J. An Analysis of Twitter Users' Political Views using Cross-Account Data Mining. 2nd International Conference on Smart Technologies in Data Science and Communication (SMARTDSC-19).  

Rustgi P, Fung C. DroidNet-An Android Permission Control Recommendation System Based on Crowdsourcing. 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM).  https://ieeexplore.ieee.org/abstract/document/8717925 (CORE rank A)

Xu J, Fung C. A Risk-defined Trust Transitivity Model for Group Decisions in Social Networks. 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). https://ieeexplore.ieee.org/document/8717900 (CORE rank A)

McCormick B, Halabian H, Fung C. Distributed Orchestration in Cloud Data Centers. 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). https://ieeexplore.ieee.org/document/8717916 (CORE rank A)

Xu L, Luan Z, Fung C, Ye D, Qian D. Anomaly Detection Models Based on Context-aware Sequential Long Short-Term Memory Learning. in Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), 9-13 December 2019, Waikoloa, HI, USA. (CORE rank B)

Syed, K, Nalluri, J, Sleeman Iv, W, Soni, P, Palta, J, Kapoor, R and Ghosh, P. Treatment Practice Analysis of Intermediate or High Risk Localized Prostate Cancer: A Multi-Center Study with Veterans Health Administration Data. IEEE ICCABS, 2019 (to appear in LNCS proceedings). https://iccabs.engr.uconn.edu/accepted_papers.html

Pilkiewicz, KR, Rana, P, Mayo, ML, Ghosh, P. Self-Assembly from a Single-Molecule Perspective, BICT 2019, pp. 147-155. https://link.springer.com/chapter/10.1007/978-3-030-24202-2_11

Franco, E, Maués, D, Alves, R, Guimarães, L, Azevedo, V, Silva, A, Ghosh, P, Morais, J, and Ramos, R. A clustering approach to identify candidates to housekeeping genes based on RNA-seq data. BSB 2019. http://bsb.sbc.org.br/2019/

Nalluri, J, Kapoor, R, Sleeman IV, W, Syed, K, Shahrezaei, MA, Chin, B, Schneider, T, Kim, M, Rana, P, Hagan, M, Ghosh, P and Palta, J. Health Information Gateway and Exchange (HINGE): Automated data aggregation and analytics in Radiation Oncology. ICCR 2019.  (abstract) http://iccr-mcma.org/full-program/ 

Nalluri, J, Kapoor, R, Sleeman IV, W, Syed, K, Shahrezaei, MA, Chin, B, Schneider, T, Kim, M, Rana, P, Hagan, M, Ghosh, P and Palta, J. Infrastructure for a Radiation Oncology Quality Surveillance Program. ICCR 2019. (abstract) http://iccr-mcma.org/full-program/ 

Rana, P, Ghosh, P, Anscher, MS, Mikkelsen, RB, Yakovlev, V. Exosomal miRNA as a non-invasive prediction marker of normal tissue toxicity after radiotherapy for prostate cancer. AACR 2019. (abstract). https://cancerres.aacrjournals.org/content/79/13_Supplement/1802.short

Nalluri, J, Kapoor, R, Sleeman IV, W, Syed, K, Shahrezaei, MA, Chin, B, Schneider, T, Kim, M, Rana, P, Hagan, M, Ghosh, P and Palta, J. Health Information Gateway and Exchange (HINGE): Realizing the potential of Big data in Radiation Oncology. ICCR 2019 (abstract) http://iccr-mcma.org/full-program/ 

Syed, K, Sleeman IV, W, Nalluri, J, Hagan, M, Ghosh, P, Palta, J and Kapoor, R. Rule-based pattern matching and text extraction from radiotherapy clinical notes: is there a match? ICCR 2019. (abstract) http://iccr-mcma.org/full-program/ 

Rana, P, Saha, J, Steen, E, Vaidya, A, Rangachari, V, Ghosh, P. A Computational Framework for Preferential Switching of Competing Aβ Aggregation Pathways Based on Game Theory Approach. 2019, Biophysical Journal 116(3):420a, DOI: 10.1016/j.bpj.2018.11.2264. (abstract) https://cancerres.aacrjournals.org/content/79/13_Supplement/1802.short

Syed, K, Sleeman IV, W, Nalluri, J, Hagan, M, Ghosh, P, Palta, J and Kapoor, R. Machine Learning Method to Automate Incident Triage in Radiotherapy Incident Reporting and Analysis System (RIRAS), AAPM 2019. (abstract) https://w3.aapm.org/meetings/2019AM/programInfo/programAbs.php?sid=7994&aid=45772

Sleeman IV, W, Nalluri, J, Syed, K, Ghosh, P, Hagan, M, Palta, J and Kapoor, R. Machine Learning Method to Automate Structure Name Mapping, AAPM 2019. (abstract) https://w3.aapm.org/meetings/2019AM/programInfo/programAbs.php?sid=8120&aid=45737 

Nalluri, J, Kapoor, R, Sleeman, WC, Soni, PD, Ghosh, P, Khajamoinuddin, S, Hagan, M, Palta, J. Health Information and Gateway Exchange (HINGE): Big Data Curation Tool for Radiation Oncology. International Journal of Radiation Oncology• Biology• Physics, 2019. (abstract) https://www.redjournal.org/article/S0360-3016(19)33099-8/abstract 

Krawczyk B, Cano A, 2019. Adaptive ensemble active learning for drifting data stream mining. International Joint Conference on Artificial Intelligence, 2763-2771 https://www.ijcai.org/proceedings/2019/0383.pdf (CORE rank A*)

Krawczyk B, Wozniak M, 2019. On the Role of Cost-Sensitive Learning in Imbalanced Data Oversampling. International Conference on Computational Sciences ICCS (3): 180-191 https://link.springer.com/chapter/10.1007%2F978-3-030-22744-9_14 (CORE rank A)

Korycki L, Cano A, Krawczyk B, 2019. Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams. IEEE BigData. (acceptance rate 19.7%)

Sleeman IV W, Krawczyk B, 2019. Bagging Using Instance-Level Difficulty for Multi-Class Imbalanced Big Data Classification on Spark. IEEE BigData. (acceptance rate 19.7%)

Korycki L, Krawczyk B, 2019. Unsupervised Drift Detector Ensembles for Data Stream Mining. IEEE International Conference on Data Science and Advanced Analytics DSAA (acceptance rate 24.5%)

Seng S, Li X, Luo C, Ji H, Zhang H, 2019. A D2D-Assisted MEC in the Blockchain-based Framework for UDNs. IEEE International Conference on Communications (ICC’19). https://ieeexplore.ieee.org/abstract/document/8762023  (CORE rank B)

Gao Y, Wang Z, Fang C, Luo C, You S, 2019. Optimal Connected Cruise Control Design with Stochastic Communication Delays. IEEE International Conference on Green Computing and Communications (GreenCom’19). (to appear in IEEE Xplore) 

Ji T, Luo C, Guo Y, Wang Q, Liao W, Li P, 2019. Differentially Private Community Detection in Attributed Social Networks. The 11th Asian Conference on Machine Learning (ACML’19). http://proceedings.mlr.press/v101/ji19a.html (Acceptance Ratio = 30 (oral)/291 = 10.3%)

Chen S, Li X, Luo C, Ji H, Zhang H, 2019. Energy-Efficient Power, Position and Time Control in UAV-assisted Wireless Networks. IEEE Global Telecommunications Conference (GLOBECOM’19), workshop on Intelligent Wireless Emergency Communication Networks.

Han X, Li X, Luo C, Ji H, Zhang H, 2019. Incentive Mechanism with the Caching Strategy for Content Sharing in Vehicular Networks.  IEEE Global Telecommunications Conference (GLOBECOM’19), workshop on V2X Technologies for Next Generation Driving Paradigm.

Marino D, Wickramasinghe C, Rieger C, Manic M. 2019. Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions, in Proc. 45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019, Lisbon, Portugal. https://ieeexplore.ieee.org/abstract/document/8927060 (B1 by Qualis)

Marino D, Wickramasinghe C, Amarasinghe K, Challa H, Richardson P, Jillepalli A, Johnson BK, Rieger C, Manic M. 2019. Cyber and Physical Anomaly Detection in Smart-Grids, in Proc. of the IEEE Resilience Week (RW) 2019, San Antonio, TX, USA. http://www.people.vcu.edu/~mmanic/papers/2019/RW19_MariWickAmarManic_CyberPhysicalADInSmartGrids.pdf (to appear in IEEE Xplore)

Wickramasinghe C, Amarasinghe K, Marino D, Spielman Z, Pray I, Gertman D, and Manic M. 2019. Intelligent Driver System for Improving Fuel Efficiency in Vehicle Fleets, in Proc. 12th International Conference on Human System Interaction, IEEE HSI 2019, Richmond VA, USA.  https://pdfs.semanticscholar.org/80ca/ff62cc9612e0f9fa228888905c9a667ac47a.pdf? (to appear in IEEE Xplore)

Stuart M, Wickramasinghe C, Marino D, Kumbhare D, Holloway K, Manic M. 2019. Machine Learning for Deep Brain Stimulation Efficacy using Dense Array EEG, in Proc. 12th International Conference on Human System Interaction, IEEE HSI 2019, Richmond VA, USA. https://pdfs.semanticscholar.org/d615/47ee1a3e7fc6b7a842dde77671078fb28d23.pdf (to appear in IEEE Xplore)

Wickramasinghe C, Marino D, Yucel F, Bulut E, and Manic M. 2019. Data Driven Hourly Taxi Drop-offs Prediction using TLC Trip Record Data, in Proc. 12th International Conference on Human System Interaction, IEEE HSI 2019, Richmond VA, USA. https://pdfs.semanticscholar.org/24ce/923adc9bcabf4b56d5692995ce233cf408c6.pdf (to appear in IEEE Xplore)

Amarasinghe K, Manic M. 2019. Explaining What a Neural Network has Learned: Toward Explainable Classification, FUZZ-IEEE 2019, New Orleans, USA. https://ieeexplore.ieee.org/document/8858899  (CORE rank A)

Olex A, Maffey L, McInnes BT. NLP Whack-A-Mole: Challenges in Cross-Domain Temporal Expression Extraction. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, pp. 3682-3692, 2019. CORE rank A.

Lee J, Blake C, McInnes BT. Evaluating ontology coverage and internal structure to better align patients with clinical trials. Proceedings of the Association for Information Science and Technology, 56 (1), 157, 2019.

Henry S, Panahi A, Wijesinghe DS, McInnes BT. A Literature Based Discovery Visualization System with Hierarchical Clustering and Linking Set Associations. AMIA Summits on Translational Science Proceedings, pp. 582, 2019.

Dorn R, Vrana S, and McInnes BT. Improving Accuracy of Patient Speech Transcription Using Dialect-Specific Automatic Speech Recognition Models. In Proceedings of the American Medical Informatics Association Annual Symposium, 2019. (poster)

Olex AL, Gal T, Afshar M, Dligach D, Karnik N, Oakes T, Sharma B, Xie M, McInnes BT, Solway J, Kho A, Cramer WC, and Moeller FG.  Untapped Potential of Clinical Text for Opioid Surveillance.  In Proceedings of the American Medical Informatics Association Annual Symposium, 2019. (poster)

Gurdin G, Vargas JA, Lewinski NA, and McInnes BT.  Quantifying the Sentiment of Online Drug Reviews.  Grace Hopper Celebration of Women in Computing Conference, 2019. (poster)

Cuffy C, Henry S, and McInnes BT. Unsupervised Text Similarity. In Proceedings of the n2c2/OHNLP Shared-Task and Workshop, 2019. (poster)

Shepherd DC, Kraft N, and Francis P, Visualizing the "hidden" variables in robot programs. In Proceedings of the 2nd International Workshop on Robotics Software Engineering (RoSE '19). IEEE Press, Piscataway, NJ, USA, 13-16. DOI: https://doi.org/10.1109/RoSE.2019.00007 (workshop @ ICSE, ICSE is A*)

Ritschel N, Holmes R, Garcia R, and Shepherd DC. Novice-friendly multi-armed robotics programming. In Proceedings of the 2nd International Workshop on Robotics Software Engineering (RoSE '19). IEEE Press, Piscataway, NJ, USA, 29-32. DOI: https://doi.org/10.1109/RoSE.2019.00013 (workshop @ ICSE, ICSE is A*)

Rahimi, F. Jiang, C. Ye, Y. Shen, Dynamic Spatiotemporal Pattern Identification and Analysis Using a Fingertip-Based Electro-Tactile Display Array, IEEE/RSJ International Conference on Intelligent Robots and Systems, Nov. 4-8, 2019. (CORE rank A)

Zhang, L. Jin and C. Ye, A Depth-Enhanced Visual Inertial Odometry for a Robotic Navigation Aid for Blind People, Workshop on Visual-Inertial Navigation: Challenges and Applications at 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems. (workshop paper, conference CORE rank A)

Zhang, L. Jin and C. Ye, A Comparative Analysis of Visual-Inertial SLAM for Assisted Wayfinding of the Visually Impaired, in Proc. IEEE Winter Conference on Applications of Computer Vision, pp. 210-217, 2019. (CORE rank A)

Zhang and C. Ye, Wayfinding and Human Intent Detection for Blind Navigation, IEEE International Conference on Human System Interaction, June 25-27, 2019.

Bingsheng Zhang, Hong-Sheng Zhou: Statement Voting. Financial Cryptography 2019: 667-685  (CORE rank B)

Sherman S. M. Chow, Alexander Russell, Qiang Tang, Moti Yung, Yongjun Zhao, Hong-Sheng Zhou: Let a Non-barking Watchdog Bite: Cliptographic Signatures with an Offline Watchdog. Public Key Cryptography (1) 2019: 221-251  (CORE rank B)

Nasr, T. Nadeem, 2019. A Novel Technique for Gait Analysis using Two Waist Mounted Gyroscopes, IEEE Global Communications Conference (GlobeCom), December 9-13, 2019. (CORE rank B)

Pasandi, T. Nadeem, 2019. Collaborative Intelligent Cross-Camera Video Analytics at Edge: Opportunities and Challenges, The International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT 2019) in conjunction with ACM SenSys, November 10, 2019. https://dl.acm.org/citation.cfm?id=3363360 (SenSys is CORE rank A*)

Uddin, T. Nadeem, S. Nukavarapu, 2019. Extreme SDN Framework for IoT and Mobile Applications Flexible Privacy at the Edge, The 17th IEEE International Conference on Pervasive Computing and Communications (PerCom’19), March 11 - 15, 2019. https://ieeexplore.ieee.org/document/8767413 (CORE rank A*)

H. Pasandi, T. Nadeem. Challenges and Limitations in Automating the Design of MAC Protocols Using Machine-Learning, The 1st IEEE International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2019), February 11-13, 2019. https://ieeexplore.ieee.org/document/8669008

Pilkiewicz, K, Rana, P, Mayo, M, Ghosh, P. Molecular Communication and Cellular Signaling from an Information Theory Perspective, Nanoscale Networking and Communications Handbook, CRC Press, 2019. https://www.taylorfrancis.com/books/9780429163043

Katuwawala A, Ghadermarzi S, Kurgan L, 2019. Computational Prediction of Functions of Intrinsically Disordered Regions, In: Uversky VN, (Ed), Dancing protein clouds: Intrinsically disordered proteins in health and disease, Part A, pp. 341-370, Academic Press, (ISBN 978-0-12-816851-6) https://www.sciencedirect.com/science/article/pii/S1877117319300766 

Oldfield C, Peng Z, Kurgan L, 2019. Disordered RNA Binding Region Prediction with DisoRDPbind, In: Heise T, (Ed.), Methods in Molecular Biology, vol. 2106, Springer Nature, (ISBN 978-1-07-160231-7) https://www.springer.com/gp/book/9781071602300 

Oldfield C, Uversky VN, Dunker AK, Kurgan L, 2019. Introduction to Intrinsically Disordered Proteins and Regions, In: Salvi N, (Ed.), Intrinsically Disordered Proteins: Dynamics, Binding and Function, pp. 1-36, Elsevier (ISBN 978-0-12-816348-1) https://www.sciencedirect.com/science/article/pii/B9780128163481000016 

Wang C, Brylinski M, Kurgan L, 2019. PDID: Database of Experimental and Putative Drug Targets in Human Proteome, In: Roy K, (Ed.), In Silico Drug Design: Repurposing Techniques and Methodologies, pp.827-847 Elsevier (ISBN 978-0-12-816125-8) https://www.sciencedirect.com/science/article/pii/B9780128161258000286 

Oldfield C, Chen K, Kurgan L, 2019. Computational Prediction of Secondary and Supersecondary Structures from Protein Sequences, In: Kister A, (Ed.), Methods in Molecular Biology, vol. 1958, pp. 73-100 Springer Nature, (ISBN 978-1-4939-9161-7) https://link.springer.com/protocol/10.1007%2F978-1-4939-9161-7_4 

Salem A, Nadeem T, Salonidis T, Desai N, 2019. Distributed Execution Platforms for Edge Computing, In: Taheri J & Deng S, (Ed.), Edge Computing: Models, Technologies and Applications, The Institution of Engineering and Technology (IET) Books (In Press) https://sites.google.com/site/ietedgebookproposal/home 

Züger M., Meyer A.N., Fritz T., Shepherd DC. (2019) Reducing Interruptions at Work with FlowLight. In: Sadowski C., Zimmermann T. (eds) Rethinking Productivity in Software Engineering. Apress, Berkeley, CA https://link.springer.com/chapter/10.1007/978-1-4842-4221-6_23

Weems C, Ahmed I, Richard III G, Russell J, Neill E. 2018. Susceptibility and Resilience to Cyber Threat: Findings from a Scenario Decision Program to Measure Secure and Insecure Computing Behavior. PLOS ONE. IF: 2.76

Ahmed I, Roussev V. 2018. Peer Instruction Teaching Methodology for Cybersecurity Education. IEEE Security & Privacy. vol. 16 (4). https://ieeexplore.ieee.org/document/8425608 IF: 1.239

Bhatt M, Ahmed I. 2018. Leveraging Relocations in Kernel ELF-binaries for Linux Kernel Version Identification. Digital Investigation Elsevier. https://www.sciencedirect.com/science/article/pii/S1742287618302019 IF: 1.771

Gao X, Petricoin EF, Ward KR, Goldberg SR, Duane TM, Bonchev D, Arodz T, Diegelmann RF. 2018. Network Proteomics of Human Dermal Wound Healing. Physiological Measurement, 39(12):124002 IF: 2.006

Yucel F, Akkaya K, Bulut E. 2018. Efficient and Privacy Preserving Supplier Matching for Electric Vehicle Charging. Elsevier Ad hoc Networks,  doi: 10.1016/j.adhoc.2018.07.029 https://www.sciencedirect.com/science/article/pii/S1570870518305353 IF: 3.151

Yucel F, Bulut E. 2018. Clustered Crowd GPS for Privacy Valuing Active Localization. IEEE Access 6:23213-23221. https://ieeexplore.ieee.org/abstract/document/8347087 IF: 3.557

Binol H, Guvenc I, Bulut E, and Akkaya K. 2018. A hybrid evolutionary search method for complex function optimization problems. IET Electronic Letters. doi: 10.1049/el.2018.6506 https://digital-library.theiet.org/content/journals/10.1049/el.2018.6506 IF: 1.232

Djenouri Y, Djenouri D, Belhadi A, Cano, A. 2018. Exploiting GPU and Cluster Parallelism in Single Scan Frequent Itemset Mining. Information Sciences, doi: 10.1016/j.ins.2018.07.020 https://www.sciencedirect.com/science/article/pii/S0020025518305322 IF: 4.31

Gonzalez-Lopez J, Ventura S, Cano A. 2018. Distributed Nearest Neighbor Classification for Large-Scale Multi-label Data on Spark. Future Generation Computer Systems, 87:66-82 https://www.sciencedirect.com/science/article/pii/S0167739X17327759 IF: 4.64

Melki G, Kecman V, Ventura S, Cano A. 2018. OLLAWV: OnLine Learning Algorithm using Worst-Violators. Applied Soft Computing, 66:384-393 https://www.sciencedirect.com/science/article/pii/S1568494618300991 IF: 3.91

Melki G, Cano A, Ventura S. 2018. MIRSVM: Multi-Instance Support Vector Machine with Bag Representatives. Pattern Recognition, 79:228-241 https://www.sciencedirect.com/science/article/pii/S003132031830061X IF: 3.96

Moyano JM, Gibaja EL, Cios KJ and Ventura S. 2018. An Evolutionary Approach to Build Ensembles of Multi-label Classifiers. Information Fusion,  DOI: 10.1016/j.inffus.2018.11.013 IF: 6.64

Corley C, Damevski K, Kraft N. 2018. Changeset-Based Topic Modeling of Software Repositories. IEEE Transactions on Software Engineering, doi: 10.1109/TSE.2018.2874960 https://ieeexplore.ieee.org/document/8486696 IF: 3.33

Dinh T, Thai M. 2018. AI and Blockchain: A Disruptive Integration. IEEE Computer 51(9): 48-53 https://ieeexplore.ieee.org/document/8481263 IF:1.94

Rashidi B, Fung C, Nguyen A, Vu T, and Bertino E. 2018. Android User Privacy Preserving through Crowdsourcing. IEEE Transaction on Information Forensics & Security (TIFS). https://ieeexplore.ieee.org/abstract/document/8085138 IF: 4.33

Das S, Pidaparti R, and Ghosh P. 2018. An integrated parametric model for MT self-assembly formation analysis. Biosystems, https://www.sciencedirect.com/science/article/pii/S0303264718302211 IF: 1.65.

Parise D, Parise MTD, Viana MVC, Muñoz-Bucio AV, Cortés-Pérez YA, Arellano-Reynoso B, Díaz-Aparicio E, Dorella FA, Pereira FL, Carvalho AF, Figueiredo HCP, Ghosh P, Barh D, Gomide ACP, Azevedo A. 2018. First genome sequencing and comparative analyses of Corynebacterium pseudotuberculosis strains from Mexico. Standards in Genomic Sciences, https://standardsingenomics.biomedcentral.com/articles/10.1186/s40793-018-0325-z IF: 1.6.

Gust K, Chaitankar V, Ghosh P, Wilbank, M, Chen X, Barker N, Pham D, Scanlan L, Rawat A, Talent L, Quinn Jr. M, Vulpe C, Elasri M, Johnson M, Perkins E, McFarland C. 2018. Multiple Environmental Stressors Induce Complex Transcriptomic Responses Indicative of Phenotypic Outcomes in Western Fence Lizard. BMC Genomics, https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-018-5270-0 IF: 3.73.

Barh D, Tiwari S, Kumavath R, Ghosh P, and Azevedo V. 2018. Linking common non-coding RNAs of human lung cancer and M. tuberculosis. Bioinformation, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137563/ IF: 0.8.

Imchen M, Kumavath R, Barh D, Vaz A, Góes-Neto A, Tiwari S, Ghosh P, Wattam AR, Azevedo V. 2018. Comparative mangrove metagenome reveals the global prevalence of heavy metals and antibiotic resistome across different ecosystems. Scientific Reports, https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-018-5270-0 IF: 4.12.

Rana P, Pilkiewicz KR, Mayo M, Ghosh P. 2018. Benchmarking the Communication Fidelity of Biomolecular Signaling Cascades Featuring Pseudo-one-dimensional Transport. AIP Advances, https://aip.scitation.org/doi/abs/10.1063/1.5027508 IF: 1.65.

Rangachari V, Dean DN, Rana P, Vaidya A, Ghosh P. 2018. Cause and Consequence of Aβ-Lipid Interactions in Alzheimer disease pathogenesis. Biochimica et Biophysica Acta-Biomembranes, https://www.sciencedirect.com/science/article/pii/S0005273618300841 IF: 3.64.

Hassan SS, Jamal SB, Radusky LG, Tiwari S, Ullah A, Ali J, Behramand, Carvalho P, Shams R, Khan S, Figueiredo H, Barh D, Ghosh P, Silva A, Baunbach J, Röttger R, Gustavo AT and Azevedo V. 2018. The Druggable Pocketome of Corynebacterium diphtheriae: A new approach for in-silico putative druggable targets. Frontiers in Genetics, https://www.frontiersin.org/articles/10.3389/fgene.2018.00044/full IF: 3.8.

Dean DN, Rana P, Campbell RP, Ghosh P and Rangachari V. 2018. Propagation of an Aβ Dodecamer Strain Involves a Three-step Mechanism and a Key Intermediate. Biophysical Journal, https://www.sciencedirect.com/science/article/abs/pii/S0006349517350403 IF: 3.5.

Krawczyk B, Galar M, Wozniak M, Bustince H, Herrera F. 2018. Dynamic ensemble selection for multi-class classification with one-class classifiers. Pattern Recognition, 83: 34-51 https://www.sciencedirect.com/science/article/pii/S0031320318301857 IF: 3.962

Ksieniewicz P, Krawczyk B, Wozniak M. 2018. Ensemble of Extreme Learning Machines with trained classifier combination and statistical features for hyperspectral data. Neurocomputing, 271: 28-37 https://www.sciencedirect.com/science/article/pii/S0925231217312195 IF: 3.241

Krawczyk B, Cano A. 2018. Online Ensemble Learning with Abstaining Classifiers for Drifting and Noisy Data Streams. Applied Soft Computing, 68:677-692 https://www.sciencedirect.com/science/article/pii/S1568494617307238 IF: 3.91

Wang C, Kurgan L. 2018. Survey of Similarity-based Prediction of Drug-protein Interactions. Current Medicinal Chemistry, doi: 10.2174/0929867325666181101115314 IF: 3.47

Gao J, Miao Z, Zhang Z, Wei H, Kurgan L. 2018. Prediction of Ion Channels and Their Types from Protein Sequences: Comprehensive Review and Comparative Assessment. Current Drug Targets, doi: 10.2174/1389450119666181022153942 http://www.eurekaselect.com/166525/article IF: 3.11

Groenendyk J, Paskevicius T, Urra H, Viricel C, Wang K, Barakat K, Hetz C, Kurgan L., Agellon LB, Michalak M. 2018. Cyclosporine A Binding to COX-2 Reveals a Novel Signaling Pathway that Activates the IRE1α Unfolded Protein Response Sensor. Scientific Reports, 8:16678 https://www.nature.com/articles/s41598-018-34891-w IF: 4.12

Hu G, Wu Zhonghua, Oldfield C, Wang C, Kurgan L. 2018. Quality Assessment for the Putative Intrinsic Disorder in Proteins. Bioinformatics, IF: 5.48

Hu G, Wang K, Song J, Uversky VN, Kurgan L. 2018. Taxonomic Landscape of the Dark Proteomes: Whole Proteome Scale Interplay between Structural Darkness, Intrinsic Disorder, and Crystallization Propensity. Proteomics, 18(21-22):1800243 https://onlinelibrary.wiley.com/doi/full/10.1002/pmic.201800243 IF: 3.53

Meng F, Kurgan L. 2018. High-throughput Prediction of Disordered Moonlighting Regions in Protein Sequences. Proteins, 86(10):1097-1110 https://onlinelibrary.wiley.com/doi/full/10.1002/prot.25590 IF: 2.27

Wang C, Kurgan L. 2018. Review and Comparative Assessment of Similarity-based methods for Prediction of Drug-protein Interactions in the Druggable Human Proteome. Briefings in Bioinformatics, https://doi.org/10.1093/bib/bby069 IF: 6.30

Chowdhury S, Zhang J, Kurgan L. 2018. In Silico Prediction and Validation of Novel RNA Binding Proteins and Residues in the Human Proteome. Proteomics, 18(21-22):1800064 https://onlinelibrary.wiley.com/doi/full/10.1002/pmic.201800064 IF: 3.53

Meng F, Murray G, Kurgan L., Donahue HJ. 2018. Functional and Structural Characterization of Osteocytic MLO-Y 4 Cell Proteins that Encode Genes Differentially Expressed in Response to Mechanical Signals in Vitro. Scientific Reports, 8:6716 https://www.nature.com/articles/s41598-018-25113-4 IF: 4.12

Meng F, Chen W, Kurgan L. 2018. fDETECT Webserver: Fast Predictor of Propensity for Protein Production, Purification, and Crystallization. BMC Bioinformatics, 18(1):580 https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1995-z IF: 2.12

Hu G, Wu, Z, Uversky V, Kurgan L. 2018. Functional Analysis of Human Hub Proteins and Their Interactors Involved in the Intrinsic Disorder-enriched Interactions. International Journal of Molecular Sciences, 18(12):2761 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751360/ IF: 3.69

Luo C, Yang LT, Min G, and Li P. 2018. Green TCP Transmission over Cognitive Radio Networks, IEEE Transactions on Vehicular Technology (TVT), 67(8):7585-7592, https://ieeexplore.ieee.org/document/8350337/ IF: 4.432

Kumbhare D, Palys V, Toms J, Wickramasinghe C, Amarasinghe K, Manic M, Hughes E, and Holloway KL. 2018. Nucleus Basalis of Meynert Stimulation for Dementia: Theoretical and Technical considerations, Frontiers in Neuroscience, 12:614. DOI: doi: 10.3389/fnins.2018.00614 IF: 3.877

Fernandez Molanes R, Amarasinghe K, Rodriguez-Andina J, and Manic M. 2018. Deep Learning and Reconfigurable Platforms in the Internet of Things: Challenges and Opportunities in Algorithms and Hardware, IEEE Industrial Electronics Magazine, 12(2):36-49, DOI: 10.1109/MIE.2018.2824843 IF: 10.429

Henry S, Cuffy C, McInnes B. 2018. Vector representations of multi-word terms for semantic relatedness. Journal of Biomedical Informatics (JBI) 77:111-19. https://www.sciencedirect.com/science/article/pii/S1532046417302769 IF: 2.88

Henry S, McQuilkin A,  McInnes B. 2018. Association measures for estimating semantic similarity and relatedness between biomedical concepts. Artificial Intelligence in Medicine. In Press. https://www.sciencedirect.com/science/article/pii/S0933365717304475 IF: 2.87

Eakin T, and Witten TM. 2018. Mechanics of population aging and survival. Biogerontology, 19(3-4):251-269, DOI: 10.1007/s10522-018-9755-7 https://link.springer.com/article/10.1007%2Fs10522-018-9755-7 IF:3.702  

Han F, Beleidy SE, Wang H, Ye C, Zhang H. 2018. Learning of Holism-Landmark Graph Embedding for Place Recognition in Long-Term Autonomy. IEEE Robotics and Automation Letters, 3(4): 3669 -3676 https://ieeexplore.ieee.org/document/8411104 IF: not yet published

Li Z, Ma C, Zhou H-S. 2018. Multi-key FHE for multi-bit messages. Sci China Inf Sci, 61(2):029101
https://link.springer.com/article/10.1007%2Fs11432-017-9206-y IF: 2.188

Senthivel S, Dhungana S, Yoo H, Ahmed I, Roussev V. 2018. Denial of Engineering Operations Attacks in Industrial Control Systems. 8th ACM Conference on Data and Application Security and Privacy (CODASPY'18), Tempe, AZ, USA. https://dl.acm.org/citation.cfm?doid=3176258.3176319

Bhatt M, Ahmed I, Lin Z. 2018. Using Virtual Machine Introspection for OS Kernel Security Education. 49th ACM Technical Symposium on Computer Science Education (SIGCSE), Baltimore, Maryland, USA. https://dl.acm.org/citation.cfm?id=3159606 (CORE rank A)

Arodz T, Saeedi S. 2018. Quantum SVM with L1 Regularization. Abstract In: Conference on Quantum Machine Learning Plus, Innsbruck, Austria, September 2018

Dhungana A, Arodz T, Bulut E. 2018. Charging Skip Optimization with Peer-to-Peer Wireless Energy Sharing in Mobile Networks. IEEE International Conference on Communications (ICC). https://ieeexplore.ieee.org/document/8422711 (CORE rank B)

Bulut E, Hernandez S, Dhungana A, and Szymanski BK. 2018. Is Crowdcharging Possible?. IEEE 27th International Conference on Computer Communication and Networks (ICCCN) (pp. 1-9). https://ieeexplore.ieee.org/abstract/document/8487418 (CORE rank A)

Yucel F, Bulut E, Akkaya K. 2018. Privacy Preserving Distributed Stable Matching of Electric Vehicles and Charge Suppliers. Vehicular Technology Conference, Chicago (Core rank B)

Binol H, Bulut E, Akkaya K, Guvenc I. 2018. Time Optimal Multi-UAV Path Planning for Gathering ITS Data from Roadside Units. Vehicular Technology Conference, Chicago (Core rank B)

Bulut E, Guvenc I. 2018. Trajectory optimization for cellular-connected UAVs with disconnectivity constraint. International Conference on Communications (ICC) Workshops pp:1-6. https://ieeexplore-ieee-org.proxy.library.vcu.edu/document/8403623

Bulut E, Guvenc I. 2018. Dynamically Shared Wide-Area Cellular Communication for Hyper-dense IoT Devices. IEEE Conference on Local Computer Networks (LCN) Workshops.

Erdin E, Cebe M, Akkaya K, Solak S, Bulut E, Uluagac S. 2018. Building a Private Bitcoin-based Payment Network among Electric Vehicles and Charging Stations. International Conference on Blockchain (Blockchain-2018), Halifax, Canada.

Cano A, Krawczyk B. 2018. Learning classification rules with differential evolution for high-speed data stream mining on GPUs. IEEE Congress on Evolutionary Computation, pp. 197-204, Rio de Janeiro, Brazil, https://ieeexplore.ieee.org/document/8477961 (CORE rank B; Best Paper Award Nominee)

Roseberry M, Cano A. 2018. Multi-label kNN Classifier with Self Adjusting Memory for Drifting Data Streams. Second International Workshop on Learning with Imbalanced Domains: Theory and Applications (LIDTA@PKDD/ECML), pp. 23-37, Dublin, Ireland, http://proceedings.mlr.press/v94/roseberry18a.html

Ciborowska A, Kraft N, Damevski K. 2018. Detecting and Characterizing Developer Behavior Following Opportunistic Reuse of Code Snippets from the Web. 15th International Conference on Mining Software Repositories (MSR’18), pp. 94-97, Gothenburg, Sweden, https://dl.acm.org/citation.cfm?id=3196467 (CORE rank A, MSR'18 Mining Challenge Winner)

Greco C, Haden T, Damevski K. 2018. StackInTheFlow: Behavior-Driven Recommendation System for Stack Overflow Posts. International Conference on Software Engineering (ICSE 2018) -- Tool Demo Track, pp. 5-8, Gothenburg, Sweden, https://dl.acm.org/citation.cfm?id=3183440.3183477 (CORE rank A*)

Li X, Smith D, Dinh T, Thai M. 2018. Adaptive Crawling with Multiple Bots: A Matroid Intersection Approach. INFOCOM 2018: 1349-1357 (CORE Rank A*) https://ieeexplore.ieee.org/document/8486295

Nguyen H,  Thai M, Dinh T. 2018. Revisiting of 'Revisiting the Stop-and-Stare Algorithms for Influence Maximization. CSoNet 2018: LNCS, 273-285 https://link.springer.com/chapter/10.1007%2F978-3-030-04648-4_23

Nguyen P, Bui N, Nguyen A, Truong H, Suresh A, Whitlock M, Pham D, Dinh T, Vu T. 2018.
TYTH-Typing On Your Teeth: Tongue-Teeth Localization for Human-Computer Interface. MobiSys 2018: 269-282 https://dl.acm.org/citation.cfm?doid=3210240.3210322 (CORE Rank A*)

Truong H, Zhang H, Muncuk U, Nguyen P, Bui N, Nguyen A, Lv Q, Chowdhury K, Dinh T, Vu T. 2018. CapBand: Battery-free Successive Capacitance Sensing Wristband for Hand Gesture Recognition. SenSys 2018: 54-67 https://dl.acm.org/citation.cfm?doid=3274783.3274854 (CORE Rank A*) (Best Paper Award Nominee)

Rashidi B, Fung C, Hamlen KW, Kamisinski A. 2018. HoneyV: A Virtualized Honeynet System Based on Network Softwarization. In IEEE/IFIP Network Operations and Management Symposium (NOMS 2018). Short paper. https://ieeexplore.ieee.org/abstract/document/8406205

Rashidi B, Fung C. 2018. A Scalable and Flexible DDoS Mitigation System Using Network Function Virtualization. In 4TH IEEE/IFIP Workshop on Security for Emerging Distributed Network Technologies (DISSECT'18) https://ieeexplore.ieee.org/abstract/document/8406314

Yu H, Fung C, Yang J. 2018. Elastic Network Service Chain with Fine-grained Vertical Scaling. 2018 IEEE Global Communications Conference: Next-Generation Networking and Internet - Next-Generation Networking and Internet. (CORE rank B)

Xu L, Luan Z, Fung C, Wei G, Quian D. 2018. Outlier Detection for Distributed Services using Multi-Frequency Patterns. 14th International Conference on Network and Service Management (CNSM 2018). Short paper.

Abdelzaher A, Ghosh P, Musawi A, Wang J. 2018. Application of Social Network Analytics to Assessing Different Care Coordination Metrics. International Conference on Social Computing and Social Media, pp. 151-160, https://link.springer.com/chapter/10.1007/978-3-319-91485-5_11

Nalluri JJ, Syed K, Rana P, Hudgins P, Ramadan I, Nieporte W, Sleeman IV W, Palta J, Kapoor R, Ghosh P. 2018. A Smart Healthcare Portal for Clinical Decision Making and Precision Medicine. 1st ACM Workshop on Smart and Connected Communities: Technological Foundations, Challenges and Opportunities, SCC-2018, pp. 1-6. https://dl.acm.org/citation.cfm?id=3170530

Nalluri J, Sleeman W, Syed K, Hudgins P, Nieporte W, Ramadan I, Palta J, Hagan M, Ghosh P, Kapoor R. 2018. Health Information Gateway and Exchange (HINGE): Radiation Oncology Data Analytics Portal. 2018. American Association of Physicists in Medicine (Best in Physics Therapy).

Nalluri J, Sleeman W, Syed K, Hudgins P, Nieporte W, Ramadan I, Palta J, Hagan M, Ghosh P, Kapoor R. 2018. HINGE: A demonstration of FHIR framework principles into an integrated health care platform for quality assessment, analytics and smart decision-support apps in Radiation Oncology. 2018. American Association of Physicists in Medicine.

Krawczyk B, Cano A, Wozniak M. 2018. Selecting local ensembles for multi-class imbalanced data classification. International Joint Conference on Neural Networks, pp. 1848-1855, Rio de Janeiro, Brazil, https://ieeexplore.ieee.org/document/8489572 (CORE rank A)

Sharma S, Bellinger C, Krawczyk B, Japkowicz N, Osmar R. Zaïane OR. 2018. Synthetic oversampling with the majority class: A new perspective on handling extreme imbalance. IEEE International Conference on Data Mining (IEEE ICDM 2018), Singapore Nov. 17-20, 2018 (CORE rank A*) (acceptance rate 8.86%)

Korycki L, Krawczyk B. 2018. Clustering-Driven and Dynamically Diversified Ensemble for Drifting Data Streams. IEEE International Conference on Big Data (IEEE BigData'18), Seattle, WA, Dec. 10-13, 2018. (acceptance rate 18.9%)

Mulyar A, Krawczyk B. 2018. Addressing Local Class Imbalance in Balanced Datasets with Dynamic Impurity Decision Trees. 21st International Conference on Discovery Sciences (DS 2018), pp. 3-17, Limassol, Cyprus, Oct. 29-31, 2018 https://link.springer.com/chapter/10.1007%2F978-3-030-01771-2_1 (acceptance rate 26.9%)

Lapinski A, Krawczyk B, Ksieniewicz P, Wozniak M. 2018. An Empirical Insight Into Concept Drift Detectors Ensemble Strategies. IEEE Congress on Evolutionary Computation, pp. 1-8, Rio de Janeiro, Brazil, https://ieeexplore.ieee.org/document/8477962  (CORE rank B)

Sáez JA, Quintián H, Krawczyk B, Wozniak M, Corchado E. 2018. Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification. 13th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2018), pp. 131-142, Oviedo, Spain, Jun. 20-22, 2018. https://link.springer.com/chapter/10.1007%2F978-3-319-92639-1_12  (CORE rank C)

Chen X, Ji J, Luo C, Liao W, Li P. 2018. Distributed Machine Learning Meets Blockchains: A Decentralized, Secure, and Privacy-preserving Realization, 2018 IEEE International Conference on Big Data (IEEE BigData'18), Seattle, WA, Dec. 10-13, 2018. (acceptance rate 18.9%)

Luo C, Salinas S, Li P. 2018. Efficient Privacy-Preserving Large-scale CP Tensor Decompositions, IEEE Global Communications Conference (GLOBECOM'18), Abu Dhabi, UAE, Dec. 9-13, 2018. (CORE rank B)

Chen X, Ji J, Yu L, Luo C, Li P. 2018. SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud, The 10th Asian Conference on Machine Learning (ACML'18), Beijing, China, Nov. 14-16, 2018.

Amarasinghe K, Manic M. 2018. Improving User Trust on Deep Neural Networks based Intrusion Detection Systems, 44rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, Washington DC, USA, Oct. 21-23, 2018. (h-56 by SJR Scimago, B1 by Qualis (grades A1-2, B1-5, C))

Wikramasinghe C, Marino D, Amarasinghe K, Manic M. 2018. Generalization of Deep Learning For Cyber-Physical System Security: A Survey, 44rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, Washington DC, USA, Oct. 21-23, 2018. (h-56 by SJR Scimago, B1 by Qualis (possible grades A1-2, B1-5, C))

Marino D, Wikramasinghe C, Manic M. 2018. An Adversarial Approach for Explainable AI in Intrusion Detection Systems, 44rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, Washington DC, USA, Oct. 21-23, 2018. (h-56 by SJR Scimago, B1 by Qualis (grades A1-2, B1-5, C))

Amarasinghe K, Wickramasinghe C, Marino D, Rieger C, Manic M. 2018. Framework for Data Driven Health Monitoring of Cyber-Physical Systems, IEEE Resilience Week (RW), Denver, CO, USA, Aug, 20-23, 2018. DOI: 10.1109/RWEEK.2018.8473535

Amarasinghe K, Kenney K, Manic M. 2018. Toward Explainable Deep Neural Network based Anomaly Detection, 11th International Conference on Human System Interaction, IEEE HSI 2018, Gdansk, Poland, July, 04-06, 2018. DOI: 10.1109/RWEEK.2018.8473511

Marino D, Anderson M, Kenney K, Manic M. 2018. Interpretable data-driven modeling in biomass preprocessing, 11th International Conference on Human System Interaction, IEEE HSI 2018, Gdansk, Poland, July, 04-06, 2018. DOI: 10.1109/HSI.2018.8431156 (best paper award)

Wikramasinghe C, Amarasinghe K, Manic M. 2018. Deep Self-Organizing Maps for Visual Data Mining, 11th International Conference on Human System Interaction, IEEE HSI 2018, Gdansk, Poland, July, 04-06, 2018 DOI: 10.1109/HSI.2018.8430845 (best student and young professional paper award)

Mahendran D, Wickramasinghe CS, McInnes B. 2018. SciREL at SemEval-2018 Task 7: A system for semantic relation extraction and classification. 12th international workshop on semantic evaluation (SemEval), pp.853-857.

Olex A, Maffey L, Morgan N, McInnes B. 2018. Chrono at SemEval Task 6: A system for normalizing temporal expressions. 12th international workshop on semantic evaluation (SemEval), pp.97-101.

Alghamdi A, Nadeem T, Cetin M. 2018. BlueMap: A Pervasive Bluetooth-based Vehicle Trajectory Reconstruction System. 37th IEEE Global Communications Conference (Globecom), Abu Dhabi, UAE, (CORE rank B)

Ben Mustafa I, Nadeem T, Halepovic E. 2018. FlexStream: Towards Flexible Adaptive Video Streaming on End Devices using Extreme SDN. 26th ACM International Conference on Multimedia (ACMMM), pp. 555-563, Seoul, Korea, https://dl.acm.org/citation.cfm?id=3240676 (CORE rank A*)

Alasaadi A, Nadeem T, Salem A. 2018. inLaneCom: Enabling In-Lane Vehicular Communication using on-board Smartphones. 15th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), pp. 134-142 , Chengdu, China, https://ieeexplore.ieee.org/document/8567550 (CORE rank B)

Salem A, Nadeem T. 2018. Blink: Making the case for Bluetooth open source stack. 10th IEEE Wireless Days Conference (WD), pp. 145-150, Dubai, UAE, https://ieeexplore.ieee.org/document/8361710

Zhang H, Jin L, Zhang H, Ye C. 2018. A Comparative Analysis of Visual-Inertial SLAM for Assisted Wayfinding of the Visually Impaired, 2019 IEEE Winter Conference on Applications of Computer Vision (CORE rank A)

Liu X, Zhang H., C. Ye C. 2018. A Wearable Robotic Object Manipulation Aid for the Visually Impaired, 2018 IEEE International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics.

Shen T, Afsar MR, Zhang H., Ye C, Shen X. 2018. Development of a motorized robotic walker guided by a processing system for human walking assistance and rehabilitation, 2018 ASME Dynamic Systems and Control Conference.

Chen Y, Wang Y, Zhou H-S. 2018. Leakage-Resilient Cryptography from Puncturable Primitives and Obfuscation. ASIACRYPT (2) 2018: 575-606 (CORE rank A) https://link.springer.com/chapter/10.1007%2F978-3-030-03329-3_20

Duong T, Chepurnoy A, Fan L, Zhou H-S. 2018. TwinsCoin: A Cryptocurrency via Proof-of-Work and Proof-of-Stake. BCC@AsiaCCS 2018: 1-13 https://doi.org/10.1145/3205230.3205233

Duong T, Chepurnoy A, Zhou H-S. 2018. Multi-mode Cryptocurrency Systems. BCC@AsiaCCS 2018: 35-46 https://doi.org/10.1145/3205230.3205237

Russell A, Tang Q, Yung M, Zhou H-S. 2018. Correcting Subverted Random Oracles. CRYPTO (2) 2018: 241-271 (CORE rank A*) https://doi.org/10.1007/978-3-319-96881-0_9

Thai P, Njilla L, Duong T, Fan L, Zhou H-S. 2018. A Generic Paradigm for Blockchain Design. MobiQuitous 2018: 460-469 https://doi.org/10.1145/3286978.3286982 (CORE rank A)

Fernández A, García S, Galar, Prati RC, Krawczyk B, Herrera F. 2018. Learning from Imbalanced Data Sets. Springer, ISBN 978-3-319-98073-7, pp. 1-377 https://link.springer.com/book/10.1007%2F978-3-319-98074-4

Bhatia S, Behal S, Ahmed I. 2018. Distributed Denial of Service Attacks and Defense Mechanism: Current Landscape and Future Directions. In: Advances in Information Security Series, Conti, Somani, and Poovendran (Eds.), Springer. https://link.springer.com/chapter/10.1007/978-3-319-97643-3_3

Ahmed I, Roussev V. 2018. Analysis of Cloud Digital Evidence. In: Security, Privacy, and Digital Forensics in the Cloud, L. Chen, and H. Takabi (Eds.), Wiley.

Bulut E. 2018. Delay Tolerant Mobile Sensor Networks: Routing Challenges and Solutions. In: Ammari H (Ed.),The Philosophy of Mission-Oriented Wireless Sensor Networks , Springer, ISBN 978-3-319-91145-8 doi: 10.1007/978-3-319-91146-5 https://www.springer.com/gp/book/9783319911458

Oldfield C, Uversky VN, Kurgan L. 2018. Predicting Functions of Disordered Proteins with MoRFpred, In: Sikosek T, (Ed.), Methods in Molecular Biology, 1851: 337-352, Humana Press, ISBN 978-1-4939-8736-8 https://link.springer.com/protocol/10.1007/978-1-4939-8736-8_19

Hu G, Kurgan L. 2018. Sequence Similarity Searching, In: Dunn BM, (Ed.), Current Protocols in Protein Science, e71, doi: 10.1002/cpps.71, Wiley, ISBN 978-0-4711-4086-3 https://currentprotocols.onlinelibrary.wiley.com/doi/full/10.1002/cpps.71

Sivils P, Rieger C, Amarasinghe K, Manic M. 2018. Integrated Cyber Physical Assessment and Response for Improved Resiliency, In: Cicirelli F, Guerrieri S, Mastroianni C, Spezzano G, Vinci A (Eds.), The Internet of Things for Smart Urban Ecosystems, Springer, ISBN 978-3-319-96550-5, https://www.springer.com/us/book/9783319965499?gclid=CjwKCAiA0uLgBRABEiwAecFnk8lTKBX06RXQJwjl5_LF7k7U9G2jQe7pfn74wUyFho28QdbJDDqr_xoCthcQAvD_BwE

Kenney KL, Anderson MO, Pace DP, Yancey NA, Manic M, Amarasinghe K, Marino DL. 2018. Intelligent, adaptive control system and related Methods for integrated processing of biomass, Attorney Docket No. 2939-P13884US (BA‑965), Sep. 2018

Rieger CG, McJunkin TR, Manic M, Amarasinghe K. 2018. Systems and Methods for Control System Security, Attorney Docket No. BA-1009, Nov. 2018

Vollmer T, Rieger C, Manic M, R&D 100 Invention Award, Autonomic Intelligent Cyber Sensor (AICS), awarded during the 56th annual R&D 100 Awards (100 science and technology world innovations in 2018)