Fatima, S., Arshad, M., Mahmood, H., Ahmed, I., “Comparative Study of IoT Forensic Frameworks,” Forensic Science International: Digital Investigation, Elsevier, 2024.  IF: 2.0 (Q3 rank)

Ali, H., Ahmed, I., “LAAKA: Lightweight Anonymous Authentication and Key Agreement Scheme for Secure Fog-Driven IoT Systems," In Computers & Security Journal, Elsevier, 2024.  IF: 4.8 (Q1 rank)

Qiu, K., Vu, D.C., Wang, L., Nguyen, N.N., Bookstaver, A.K., Sol-Church, K., Li, H., Dinh, T.N., Goldfarb, A.N., Tenen, D.G. and Trinh, B.Q., 2024. Chromatin structure and 3D architecture define the differential functions of PU. 1 regulatory elements in blood cell lineages. Epigenetics & Chromatin, 17(1), p.33. IF: 4.2  (Q1 rank) https://link.springer.com/article/10.1186/s13072-024-00556-4

Chapnevis A, Bulut E, 2024. Time-Efficient Approximate Trajectory Planning for AoI-centered Multi-UAV IoT Networks, Internet of Things, doi: 10.1016/j.iot.2024.101461 https://www.sciencedirect.com/science/article/pii/S2542660524004025 IF: 6.0 (Q1 rank)

Touhiduzzaman M, Hernandez S M, Pidcoe P E, Bulut E, 2024. Wi-PT-Hand: Wireless Sensing based Low-cost Physical Rehabilitation Tracking for Hand Movements, ACM Transactions on Computing for Healthcare, doi: 10.1145/3688855 https://dl.acm.org/doi/abs/10.1145/3688855 

Chung J, Pretzer-Aboff I, Bulut E, 2024. Using a Device-Free WiFi Sensing System to Assess Daily Activities and Mobility in Low-Income Older Adults: Protocol for a Feasibility Study, JMIR Research Protocols (JRP) 13.1 (2024): e53447, doi: 10.2196/53447 https://www.researchprotocols.org/2024/1/e53447/ IF:1.4

Daniel W. Cranston and Evelyne Smith-Roberge. List Packing and Correspondence Packing of Planar Graphs. Journal of Graph Theory. To appear. IF: 0.9.

Daniel W. Cranston and Reem Mahmoud. Equitable Coloring in 1-Planar Graphs. Discrete Math. Vol. 348(2), Feb. 2025, 114286. IF: 0.7. https://www.sciencedirect.com/science/article/abs/pii/S0012365X24004175 

Daniel W. Cranston and Chun-Hung Liu. Proper Conflict-free Coloring of Graphs with Large Maximum Degree. SIAM Journal on Discrete Math. Vol. 38(4), 2024, pp. 3004–3027.  IF: 0.9. https://epubs.siam.org/doi/abs/10.1137/23M1563281

Daniel W. Cranston and Carl Feghali. Kempe Classes and Almost Bipartite Graphs. Discrete Applied Math. Vol. 357, 15 Nov. 2024, pp. 94–98.IF:1.0. https://www.sciencedirect.com/science/article/abs/pii/S0166218X24002452 

Daniel W. Cranston and Gexin Yu. Cliques in Squares of Graphs with Maximum Average Degree less than 4. Journal of Graph Theory. Vol. 107(3). July 2024. pp. 559–577. IF: 0.9. https://onlinelibrary.wiley.com/doi/full/10.1002/jgt.23125

Daniel W. Cranston. Bounding Clique Size in Squares of Planar Graphs. European Journal of Combinatorics. Vol. 120. August 2024. Article 103960. 9 pp. IF: 1.0.  https://www.sciencedirect.com/science/article/abs/pii/S0195669824000453

Majumdar P, Roy S, Sikdar S, Ghosh P, Ghosh N. A Survey on Data-Driven Approaches for Reliability, Robustness, and Energy Efficiency in Wireless Body Area Networks. Sensors. 2024; 24(20):6531. https://doi.org/10.3390/s24206531   IF: 3.4 (Q2 rank)

Lodi MK, Chernikov A, Ghosh P. COFFEE: consensus single cell-type specific inference for gene regulatory networks. Brief Bioinform. 2024;25(6):bbae457. https://doi.org/10.1093/bib/bbae457  IF: 6.8 (Q1 rank)

Sleeman WC, Roseberry M, Ghosh P, Cano A, Krawczyk B. Improved KD-tree based imbalanced big data classification and oversampling for MapReduce platforms. Appl Intell 54, 12558–12575 (2024). https://doi.org/10.1007/s10489-024-05763-w  IF: 3.4 (Q2 rank)

Bender C, Ghosh A, Vakili H, Ghosh P, Ghosh AW. An effective drift-diffusion model for pandemic propagation and uncertainty prediction. Biophys Rep (N Y). 2024;4(4):100182. https://doi.org/10.1016/j.bpr.2024.100182  IF: 2.4 (Q3 rank)

Lodi MK, Lodi M, Osei K, Ranganathan V, Hwang P, Ghosh P. CHAI: consensus clustering through similarity matrix integration for cell-type identification. Brief Bioinform. 2024;25(5):bbae411. https://doi.org/10.1093/bib/bbae411  IF: 6.8 (Q1 rank)

Halder S, Roy S, Ghosh P, Ghosh N. ADRIN2.0: Enabling Post-Disaster Communication through Adaptive Mobility-informed Routing, in IEEE Access, vol. 12, pp. 102368-102380, 2024, https://doi.org/10.1109/ACCESS.2024.3432866   IF: 3.4 (Q2 rank)

Meas SJ, Daire GM, Friedman MA, DeNapoli R, Ghosh P, Farr JN, Donahue HJ. A comparison of bone microarchitectural and transcriptomic changes in murine long bones in response to hindlimb unloading and aging. Bone. 2024 Feb;179:116973. https://doi.org/10.1016/j.bone.2023.116973  IF: 3.5 (Q2 rank)

Yakovlev V, Lapato D, Rana P, Ghosh P, Frye R, Roberson-Nay R. Neuron Enriched Extracellular Vesicles’ MicroRNA Expression Profiles as a Marker of Early Life Alcohol Consumption. Transl Psychiatry 14, 176 (2024). https://doi.org/10.1038/s41398-024-02874-3   IF: 5.8 (Q1 rank)

Basu S, YU J, Kihara D, Kurgan L, 2025. Twenty Years of Advances in Prediction of Nucleic Acid Binding Residues in Protein Sequences. Briefings in Bioinformatics, https://doi.org/10.1093/bib/bbaf016 IF: 6.8 (Q1 rank)

Song J and Kurgan L, 2025. Two Decades of Advances in Sequence-based Prediction of MoRFs, Disorder-to-order Transitioning Binding Regions. Expert Review of Proteomics, https://doi.org/10.1080/14789450.2025.2451715 IF: 3.8 (Q1 rank)

Zhang F and Kurgan L, 2024. Evaluation of Predictions of Disordered Binding Regions in the CAID2 Experiment. Computational and Structural Biotechnology Journal, 27:78-88 https://doi.org/10.1016/j.csbj.2024.12.009 IF: 4.5 (Q1 rank)

Pan T, Bi Y, Wang X, Zhang Y, Webb GI, Gasser RB, Kurgan L, Song J, 2024. SCREEN: A Graph-based Contrastive Learning Tool to Infer Catalytic Residues and Assess Enzyme Mutations. Genomics, Proteomics and Bioinformatics, https://doi.org/10.1093/gpbjnl/qzae094 IF: 11.5 (Q1 rank)

Zhang J, Basu S, Zhang F, Kurgan L, 2024. MERIT: Accurate Prediction of Multi Ligand-binding Residues with Hybrid Deep Transformer Network, Evolutionary Couplings and Transfer Learning. Journal of Molecular Biology, https://doi.org/10.1016/j.jmb.2024.168872 IF: 4.7 (Q1 rank)

Wang K, Hu G, Basu S, Kurgan L, 2024. flDPnn2: Accurate and Fast Predictor of Intrinsic Disorder in Proteins. Journal of Molecular Biology 436(17):16860 https://doi.org/10.1016/j.jmb.2024.168605 IF: 4.7 (Q1 rank)

Basu S, Kurgan L, 2024. Taxonomy-specific Assessment of Intrinsic Disorder Predictions at Residue and Region Levels in Higher Eukaryotes, Protists, Archaea, Bacteria and Viruses. Computational and Structural Biotechnology Journal, 23:1968-1977 https://doi.org/10.1016/j.csbj.2024.04.059 IF: 4.5 (Q1 rank)

Wang K, Gang H, Wu Z, Uversky VN, Kurgan L, 2024. Assessment of Disordered Linker Predictions in the CAID2 Experiment. Biomolecules, 14(3):287 https://doi.org/10.3390/biom14030287 IF: 4.8 (Q1 rank)

Zhang J, Basu S, Kurgan L, 2024. HybridDBRpred: Improved Sequence-based Prediction of DNA-binding Amino Acids Using Annotations from Structured Complexes and Disordered Proteins. Nucleic Acids Research, 52(2):e10 https://doi.org/10.1093/nar/gkad1131 IF: 16.7 (Q1 rank)

Song J, Kurgan L, 2024. Availability of Web Servers Significantly Boosts Citations Rates of Bioinformatics Methods for Protein Function and Disorder Prediction. Bioinformatics Advances, 3(1):vbad184 https://doi.org/10.1093/bioadv/vbad184 IF: 2.4 (Q2 rank)

L. Barbosa, S. Freire, Z. Codabux, M. Kalinowski, M. Mendonca, R. Suzana, and R. Spinola. Attributes of a Great Requirements Engineer. In the Journal of Systems and Software, 111554, ISSN 0164-1212. 2024. https://doi.org/10.1016/j.jss.2024.112200

Sávio Freire, Alexia Pacheco, Nicolli Rios, Boris Pérez, Camilo Castellanos, Darío Correal, Robert Ramač, Vladimir Mandić, Nebojša Taušan, Gustavo López, Manoel Mendonça, Davide Falessi, Clemente Izurieta, Carolyn Seaman, and Rodrigo Spínola. 2024. A Comprehensive View on TD Prevention Practices and Reasons for Not Preventing It. ACM Trans. Softw. Eng. Methodol. 33, 7, Article 178 (September 2024), 44 pages. https://doi.org/10.1145/3674727 . 

L. Nunes, S. Freire, J. Bastos, R. Spinola, M. Mendonca, and J. Santos. Empathy and its Effects on Software Practitioners' Well-being and Mental Health. IEEE SOFTWARE, v. 1, p. 1, 2024.

D. de Silva, O. Kaynak, M. El-Ayoubi, N. Mills, D. Alahakoon and M. Manic, "Opportunities and Challenges of Generative Artificial Intelligence: Research, Education, Industry Engagement, and Social Impact," in IEEE Industrial Electronics Magazine, 2024 Sep 16, doi: 10.1109/MIE.2024.3382962, (IF 5.6 from Jan 2023)

C. Samarajeewa, D. de Silva, M. Manic, N. Mills, H. Moraliyage, D. Alahakoon, A. Jennings, An artificial intelligence framework for explainable drift detection in energy forecasting,Energy and AI,Volume 17,2024,100403,ISSN 2666 5468, 2024 September, doi: https://doi.org/10.1016/j.egyai.2024.100403, (IF 9.6 from Jan 2023)

El-Haber N, Burnett D, Halford A, Stamp K, De Silva D, Manic M, Jennings A. A Lifecycle Approach for Artificial Intelligence Ethics in Energy Systems. Energies. 2024 Jul 20;17(14):3572, 2024 Jul 20, doi: https://doi.org/10.3390/en17143572,  (IF 3 from jan 2023)

Gamage G, De Silva D, Mills N, Alahakoon D, Manic M. Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis. Journal of Big Data. 2024 Jul 10;11(1):93, 2024 Jul 10, doi: https://doi.org/10.1186/s40537-024-00953-2,(IF 7 from June 2022),

C. Samarajeewa, D. De Silva, M. Manic, N. Mills, P. Rathnayaka and A. Jennings, "Explainable Artificial Intelligence for Crowd Forecasting Using Global Ensemble Echo State Networks," in IEEE Open Journal of the Industrial Electronics Society, vol. 5, pp. 415-427, 2024 May 09,  doi: 10.1109/OJIES.2024.3397789. (IF 5.2 from Jan 2023)

Mills, N., Issadeen, Z., Matharaarachchi, A., Bandaragoda, T., De Silva, D., Jennings, A., Manic, M.,  A cloud-based architecture for explainable Big Data analytics using self-structuring Artificial Intelligence. Discov Artif Intell 4, 33 (2024), 2024 May 09,  https://doi.org/10.1007/s44163-024-00123-6 (IF 3.7 from jan 2023)

H. S. Mavikumbure, V. Cobilean, C. S. Wickramasinghe, B. J. Varghese, B. Carlson, C. Rieger, T. D. Pennington, and M. Manic, "Cy-Phy ADS: Cyber Physical Anomaly Detection Framework for EV Charging Systems," in IEEE Transactions on Transportation Electrification, 2024 Feb 07, doi: 10.1109/TTE.2024.3363672. ,(IF 7 from June 2022)

M. Ayyat, T. Nadeem, and B. Krawczyk, 2024. ClassyNet: Class-Aware Early Exit Neural Networks for Edge Devices, IEEE Journal Internet of Things, Vol: 11, Issue: 9, May 2024, doi: 10.1109/JIOT.2023.3344120, https://ieeexplore.ieee.org/document/10365527, IF: 6.0 (Q1 rank)

Ahsan, M., Pak, E., Jackson, K., Rais, M., Najarro-Blancas, B., Lewinski, N., Ahmed, I., “BioSaFe: Bioprinting Security Framework for Detecting Sabotage Attacks on Printability and Cell Viability," In the 40th Annual Computer Security Applications Conference (ACSAC'24), Dec 2024, Hawaii [Acceptance rate (21.5%): 83 out of 381 submissions] (CORE A rank)

Rais, M. H., Ahsan, M., Ahmed, I., SOK: 3D Printer Firmware Attacks on Fused Filament Fabrication”, In 18th USENIX WOOT Conference on Offensive Technologies (WOOT'24), August 2024, Philadelphia, PA [Acceptance rate (35%): 18 out of 51 submissions]

Ayub, A., Jo, W., Ahmed, I., “Charlie, Charlie, Charlie on Industrial Control Systems: PLC Control Logic Attacks by Design, Not by Chance,” In 17th  IEEE International Symposium on Hardware Oriented Security and Trust (HOST), May 2024, Washington DC [Acceptance rate (23%): 32 out of 139 submissions]

Forihat, Y., Taylor, C., Awad, R., Ahmed, I., “Security Assessment of a LBP16-Protocol-Based Computerized Numerical Control Machine”, In 18th IFIP International Conference on Critical Infrastructure Protection (ICCIP), March 2024, Arlington, Virginia. [Resulted in six CVEs: CVE-2024-22809, CVE-2024-22815, CVE-2024-22813, CVE-2024-22811, CVE-2024-22808, and CVE-2024-22807]

Awad, R., Sprayberry, M., Ahmed, I., Rogers, M., Lopez, J., “Automated Programmable Logic Controller Memory Forensics Using Image Analysis and Deep Learning," In 18th IFIP International Conference on Critical Infrastructure Protection (ICCIP), March 2024, Arlington, Virginia.

Co Tran-Bao Tran, Hy T Son, and Thang N Dinh. Scalable Quantum-Inspired Optimization through Dynamic Qubit Compression." The 39th AAAI Conference on Artificial Intelligence (AAAI), 2025 [Oral Presentation, AC: 5%] (CORE A* rank)

Sy-Vinh Le, Tu N Nguyen, Thang N Dinh, Haplotype Inference with Pure Parsimony: A Quantum Computing Approach, IEEE International Conference on Communications (ICC), 2024

Andrew P Kennedy, Thang N Dinh, My T Thai, Network Vulnerability Analysis via Quantum Computing, IEEE International Conference on Meta Computing (ICMC), 2024

Touhiduzzaman T, Chung J, Pretzer-Aboff I, Bulut E, 2024. Wireless Sensing-based Daily Activity Tracking System Deployment in Low-Income Senior Housing Environments. Proceeding of IEEE the 30th Annual International Conference on Mobile Computing and Networking (MobiCom) - 1st ACM Workshop on Wireless and Mobile Computing for AgeTech (MobiCom4AgeTech), Washington, D.C., USA, Nov. 18-22, 2024. https://dl.acm.org/doi/10.1145/3636534.3698115 

Ghosh S, Bulut E, 2024. Wi-Limb: Recognizing Moving Body Limbs Using a Single WiFi Link. Proceedings of IEEE the 30th Annual International Conference on Mobile Computing and Networking (MobiCom) - 1st ACM Workshop on Wireless and Mobile Computing for AgeTech (MobiCom4AgeTech), Washington, D.C., USA, Nov. 18-22, 2024. https://dl.acm.org/doi/abs/10.1145/3636534.3698117 

Chapnevis A, Bulut E, 2024. UAV Mesh Network Trajectory Planning for Age Optimal Data Collection in Infrastructureless Areas. Proceedings of IEEE International Conference on Communications (ICC) , Denver, CO, June, 2024. https://ieeexplore.ieee.org/abstract/document/10622459 (Core B)

Frazier M, Damevski K, Pollock L, 2024. Customizing ChatGPT to Help Computer Science Principles. Proceedings of the 29th Annual ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE), Milan, Italy. (CORE B rank)

Ehsani R, Imran M M, Zita R, Damevski K, Chatterjee P, 2024. Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads. Proceedings of the 18th International Conference on Mining Software Repositories (MSR’24), Data Showcase Track, Lisbon, Portugal. (CORE A rank)

Imran M M, Chatterjee P, Damevski K, 2024. Shedding Light on Software Engineering-specific Metaphors and Idioms. 46th International Conference on Software Engineering (ICSE 2024), Technical Track, Lisbon, Portugal. (CORE A* rank)

Imran M M, Chatterjee P, Damevski K, 2024. Uncovering the Causes of Emotions in Software Developer Communication Using Zero-shot LLMs. 46th International Conference on Software Engineering (ICSE 2024), Technical Track, Lisbon, Portugal. (CORE A* rank)

Halder S, Roy S, Ghosh P, Ghosh N, 2024. ADRIN: An Adaptive and Distributed Routing Mechanism for Challenged IoT Networks. 16th International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India, 2024, pp. 769-772, https://doi.org/10.1109/COMSNETS59351.2024.10427101 

Yanxue Jia, Shi-Feng Sun, Hong-Sheng Zhou, Dawu Gu: Scalable Private Set Union, with Stronger Security. USENIX Security Symposium 2024. https://www.usenix.org/conference/usenixsecurity24/presentation/jia-yanxue (CORE A* rank)

Keyu Ji, Cong Zhang, Taiyu Wang, Bingsheng Zhang, Hong-Sheng Zhou, Xin Wang, Kui Ren: On the Complexity of Cryptographic Groups and Generic Group Models. ASIACRYPT (7) 2024: 3-35. https://link.springer.com/chapter/10.1007/978-981-96-0941-3_1 (CORE A rank)

Zhelei Zhou, Bingsheng Zhang, Hong-Sheng Zhou, Kui Ren: Practical Constructions for Single Input Functionality Against a Dishonest Majority. EuroS&P 2024: 398-414 https://ieeexplore.ieee.org/document/10628521 (CORE A rank)

Lei Fan, Jonathan Katz, Zhenghao Lu, Phuc Thai, Hong-Sheng Zhou: Brief Announcement: Best-Possible Unpredictable Proof-Of-Stake. DISC 2024: 45:1-45:7 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2024.45 (CORE A rank)

H. S. Mavikumbure, V. Cobilean, C. S. Wickramasinghe, D. Drake and M. Manic, "Generative AI in Cyber Security of Cyber Physical Systems: Benefits and Threats," 2024 16th International Conference on Human System Interaction (HSI), Paris, France, 2024, pp. 1-8, doi: 10.1109/HSI61632.2024.10613562, 

C. Samarajeewa, D. De Silva, E. Osipov, D. Alahakoon and M. Manic, "Causal Reasoning in Large Language Models using Causal Graph Retrieval Augmented Generation," 2024 16th International Conference on Human System Interaction (HSI), Paris, France, 2024, pp. 1-6,  doi: 10.1109/HSI61632.2024.10613566.

Ranasinghe S, De Silva D, Mills N, Alahakoon D, Manic M, Lim Y, Ranasinghe W. Addressing the Productivity Paradox in Healthcare with Retrieval Augmented Generative AI Chatbots. In2024 IEEE International Conference on Industrial Technology (ICIT) 2024 Mar 25 (pp. 1-6). IEEE,  doi: 10.1109/ICIT58233.2024.10540818

Gamage G, Mills N, De Silva D, Manic M, Moraliyage H, Jennings A, Alahakoon D. Multi-Agent RAG Chatbot Architecture for Decision Support in Net-Zero Emission Energy Systems. In2024 IEEE International Conference on Industrial Technology (ICIT) 2024 Mar 25 (pp. 1-6). IEEE, doi: 10.1109/ICIT58233.2024.10540920.

D. Drake, H. S. Mavikumbure, V. Cobilean,  and M. Manic, "Cyber-Physical Security Trends of EV Charging Systems: A Survey" IECON 2024- 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, USA, 2024.

D. Drake, V. Cobilean, H. S. Mavikumbure,  and M. Manic, "Self-Attention Bottleneck Network for Self-Supervised Anomaly Detection in CAN Data" IECON 2024- 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, USA, 2024.

Fu YV, Ramachandran GK, Halwani A, McInnes BT, Xia F, Lybarger K, Yetisgen M, Uzuner Ö. CACER: Clinical concept Annotations for Cancer Events and Relations. Journal of the American Medical Informatics Association. 2024 Nov;31(11):2583-94.https://doi.org/10.1093/jamia/ocae231 IF: 4.7 (Q1 rank)

Kilicoglu H, Ensan F, McInnes BT, Wang LL. Semantics-enabled biomedical literature analytics. Journal of Biomedical Informatics. 2024 Jan 19:104588. https://doi.org/10.1016/j.jbi.2024.104588 IF: 4.0

Ronnie de Souza Santos, Luiz de Lima, Maria Teresa Baldassarre, and Rodrigo Spínola. 2024. Preliminary Insights on Industry Practices for Addressing Fairness Debt. In Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM '24). Association for Computing Machinery, New York, NY, USA, 566–571. https://doi.org/10.1145/3674805.3695406 . 

R. Santos, F. Fronchetti, S. Freire, and R. Spinola. Software Fairness Debt. In the SE2030 – Software Engineering in 2030 Workshop. 2024. Porto de Galinhas, Brazil. 

Felipe Fronchetti, Nico Ritschel, Logan Schorr, Chandler Barfield, Gabriella Chang, Rodrigo Spinola, Reid Holmes, and David C. Shepherd. 2024. Block-based Programming for Two-Armed Robots: A Comparative Study. In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (ICSE '24). Association for Computing Machinery, New York, NY, USA, Article 43, 1–12. https://doi.org/10.1145/3597503.3623329 

 Antônio Carlos M. de Paula, Carlos Frederico J. Muakad, Sávio Freire, Rodrigo Spínola, and Manoel Mendonça. 2024. Burnout in Software Projects: An Analysis of Stack Exchange Discussions. In Proceedings of the XXIII Brazilian Symposium on Software Quality (SBQS '24). Association for Computing Machinery, New York, NY, USA, 321–330. https://doi.org/10.1145/3701625.3701670 . 

E. Souza, M. Paixao, S. Freire, and R. Spinola. What do LinkedIn Brazilian Ads ask of Requirements Analysts?. In the XXIII Brazilian Symposium on Software Engineering. 2024. Salvador, Brazil.

L. Nunes, L. Cerqueira, V. Malheiros, R. Guerra, B. Santana, R. Spinola, M. Mendonca, and J. Santos. Software Engineers Engagement and Job Satisfaction: A Survey with Practitioners Working Remotely in a Public Organization. In the 27th International Conference on Enterprise Information Systems. 2024. Angers, France. 

C. Berenguer, S. Freire, M. Mendonca, and R. Spinola. Investigating Entry-level Software Project Managers' Skills and Responsibilities: An Empirical Analysis of LinkedIn Job Ads. In the 27th International Conference on Enterprise Information Systems. 2024. Angers, France.

M. Osman, D. Kaplan, T. Nadeem, "SER Evals: In-domain and Out-of-domain benchmarking for speech emotion recognition." The 25th Interspeech Conference, p1395--1399, September 1-5, 2024, Kos Island, Greece.

H. B.. Pasandi, T. Nadeem. “Autonomous On-Device Protocols: Empowering Wireless with Self-Driven Capabilities.” The 25th IEEE Wireless Communications and Networking Conference (WCNC), April 21 – 24, 2024, Dubai, UAE.

J. M. Bertsch, M. Ayyat, T. Nadeem, Gregory J. Gerling. “NetworkTouch: A vibrotactile check-in device for cyberattack detection and monitoring.” The 2024 IEEE Haptics Symposium (HAPTICS), April 7-10, 2024, Long Beach, California, USA.

Daniel W. Cranston, Graph Coloring Methods. viii+453 pages, July 2024. (A graduate textbook.) Available for free download at: graphcoloringmethods.com

Kloczkowski A, Kurgan L, Faraggi E, 2024. Prediction of Protein Secondary Structure, Methods in Molecular Biology, Springer, volume 2867, ISBN: 978-1-0716-4195-8 https://link.springer.com/book/10.1007/978-1-0716-4196-5

Bi Z, Basu S, Kurgan L, 2024. DescribePROT Database of Residue-Level Protein Structure and Function Annotations. In: Kloczkowski A, Kurgan L, Faraggi E (Eds), Methods in Molecular Biology, vol. 2867, pp. 169-184, Springer (ISBN: 978-1-0716-4195-8) https://pubmed.ncbi.nlm.nih.gov/39576581/

Wang K, Hu G, Wu Z, Kurgan L, 2024. Accurate and Fast Prediction of Intrinsic Disorder Using flDPnn. In: Kloczkowski A, Kurgan L, Faraggi E (Eds), Methods in Molecular Biology, vol. 2867, pp. 201-218, Springer (ISBN: 978-1-0716-4195-8) https://pubmed.ncbi.nlm.nih.gov/39576583/

Peng, Z, Wu H, Luo Y, Kurgan L, 2024. Prediction of Disordered Linkers Using APOD. In: Kloczkowski A, Kurgan L, Faraggi E (Eds), Methods in Molecular Biology, vol. 2867, pp. 219-231, Springer (ISBN: 978-1-0716-4195-8) https://pubmed.ncbi.nlm.nih.gov/39576584/

Zhang J, Zhou F, Liang, X, Kurgan L, 2024. Accurate Prediction of Protein-Binding Residues in Protein Sequences Using SCRIBER. In: Kloczkowski A, Kurgan L, Faraggi E (Eds), Methods in Molecular Biology, vol. 2867, pp. 247-260, Springer (ISBN: 978-1-0716-4195-8) https://pubmed.ncbi.nlm.nih.gov/39576586/

Bart, Austin Cory, and Luke Gusukuma. "Autograding Python Code with the Pedal Framework: Feedback Beyond Unit Tests." Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2. 2024. https://doi.org/10.1145/3626253.3633416

Vijayakanthan R, Ahmed I, Ali-Gombe A. 2023. SWMAT: Mel-frequency Cepstral Coefficients-based Memory Fingerprinting for IoT Devices. Computers & Security Journal, https://doi.org/10.1016/j.cose.2023.103298 

Ayub A, Jo W, Qasim S, Ahmed I. 2023. How Are Industrial Control Systems Insecure by Design? A Deeper Insight Into Real-World Programmable Logic Controllers. IEEE Security & Privacy, 21(4):10-19

Djenouri Y, Belbachir A, Cano A, Belhadi A, 2023. Spatio-temporal visual learning for home-based monitoring. Information Fusion, 101:101984 https://www.sciencedirect.com/science/article/pii/S1566253523003007 IF: 18.6 (Q1 rank)

Aguiar G, Cano A, 2023. Dynamic budget allocation for sparsely labeled drifting data streams. Information Sciences, 654:119821 https://www.sciencedirect.com/science/article/abs/pii/S0020025523014068 IF: 8.1 (Q1 rank)

Aguiar G, Krawczyk B, Cano A, 2023. A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework. Machine Learning https://link.springer.com/article/10.1007/s10994-023-06353-6 IF: 7.5 (Q1 rank)

Eiji V, Cano A, Barbon S, 2023. Meta-learning for dynamic tuning of active learning on stream classification. Pattern Recognition, 138:109359 https://www.sciencedirect.com/science/article/pii/S0031320323000602 IF: 8.0 (Q1 rank)

Cranston DW, 2023. Mahmoud R. Kempe Equivalent List Colorings. Combinatorica, https://link.springer.com/article/10.1007/s00493-023-00063-2 IF: 1.1

Cranston DW, Mahmoud R, 2023. 5-Coloring Reconfiguration of Planar Graphs with No Short Odd Cycles. Journal of Graph Theory, https://onlinelibrary.wiley.com/doi/abs/10.1002/jgt.23064 IF: 0.9

Cranston DW, 2024. Odd-Sum Colorings of Planar Graphs. Discrete Applied Math. 342:82-88, https://www.sciencedirect.com/science/article/pii/S0166218X23003499?dgcid=rss_sd_all IF: 1.1

Cambie S, Cames van Batenburg W, Cranston DW, 2024. Optimally Reconfiguring List and Correspondence Colourings. European Journal of Combinatorics. 115:103798. https://www.sciencedirect.com/science/article/pii/S0195669823001154 IF: 1.0

Cranston DW, 2023. Odd Colorings of Sparse Graphs. J. of Combinatorics, https://www.intlpress.com/site/pub/pages/journals/items/joc/_home/acceptedpapers/index.php IF: 0.3

Cranston DW, LaFayette H, 2023. The t-Tone Chromatic Number of Classes of Sparse Graphs. Australasian J. Combinatorics. 86(3):458-476, https://ajc.maths.uq.edu.au/?page=get_volumes&volume=86 IF: 0.6

Cranston DW, 2023. Coloring, List Coloring, and Painting Squares of Graphs (and other related problems). Electronic Journal of Combinatorics. 30(2):Dynamic Survey #25, https://doi.org/10.37236/10898 IF: 0.626

Cranston DW, Lafferty M, Song ZX, 2023. A Note on Odd Colorings of 1-Planar Graphs. Discrete Applied Math. 330:1121117, https://www.sciencedirect.com/science/article/abs/pii/S0166218X23000112 IF: 1.1

Roy S, Dutta P, Ghosh P, 2023. Hierarchical Vaccine Allocation Based on Epidemiological and Behavioral Considerations, IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(5):2981-2991. doi: 10.1109/TCBB.2023.3265317. IF: 4.5 (Q1 rank)

Pavithran H, Kumavath R, Ghosh P, 2023. Transcriptome Profiling of Cardiac Glycoside Treatment Reveals EGR1 and Downstream Proteins of MAPK/ERK Signaling Pathway in Human Breast Cancer Cells. International Journal of Molecular Sciences. 24(21):15922. https://doi.org/10.3390/ijms242115922 IF: 5.6 (Q1 rank)

Roy S, Ghosh N, Uplavikar N, Ghosh P, 2023. Towards a Unified Pandemic Management Architecture: Survey, Challenges, and Future Directions. ACM Computing Surveys, 56(2):38 https://doi.org/10.1145/3609324 IF: 16.6 (Q1 rank)

Roy S, Al Musawi AF, Ghosh P, 2023. Inferring links in directed complex networks through feed forward loop motifs. Humanities & Social Sciences Communications, 10:358 https://doi.org/10.1057/s41599-023-01863-z IF: 3.5 (Q1 rank)

Al Musawi AF, Roy S, Ghosh P, 2023. Examining indicators of complex network vulnerability across diverse attack scenarios. Scientific Reports, 13:18208 https://doi.org/10.1038/s41598-023-45218-9 IF: 4.6 (Q2 rank)

Meas SJ, Daire GM, Friedman MA, DeNapoli R, Ghosh P, Farr JN, Donahue HJ, 2024. A comparison of bone microarchitectural and transcriptomic changes in murine long bones in response to hindlimb unloading and aging. Bone. 179:116973 doi: 10.1016/j.bone.2023.116973 IF: 4.1 (Q2 rank)

Roy S, Biswas P, Ghosh P, 2023. Determining the rate of infectious disease testing through contagion potential. PLOS Glob Public Health. 3(8):e0002229, doi: 10.1371/journal.pgph.0002229 IF: 3.3 (Q2 rank)

Bose P, Rana P, Ghosh P, 2023. Attention-Based Multimodal Deep Learning on Vision-Language Data: Models, Datasets, Tasks, Evaluation Metrics and Applications. IEEE Access, 11:80624-80646 doi: 10.1109/ACCESS.2023.3299877 IF: 3.9 (Q2 rank)

Pateras J, Rana P, Ghosh P, 2023. A Taxonomic Survey of Physics-Informed Machine Learning. Applied Sciences. 13(12):6892 https://doi.org/10.3390/app13126892 IF: 2.7 (Q2 rank)

Kapoor R, Sleeman WC, Ghosh P, Palta J, 2023. Infrastructure tools to support an effective Radiation Oncology Learning Health System. J Appl Clin Med Phys. 24(10):e14127 doi: 10.1002/acm2.14127 IF: 2.1 

Gomes MMA, Anjos WF, Jaiswal AK, Tiwari S, Ghosh P, Barh D, Azevedo V, Santos A, 2023. Implementation of a Noise Filter for Grouping in Bibliographic Databases using Latent Semantic Indexing. International Journal of Bioinformatics and Intelligent Computing. 2(1):12-28, https://doi.org/10.61797/ijbic.v2i1.208 

Bose P, Rana P, Sleeman WC IV, Srinivasan S, Kapoor R, Palta J, Ghosh P, 2023. Multimodal Deep Learning Methods on Image and Textual Data to Predict Radiotherapy Structure Names. BioMedInformatics. 3(3):493-513. https://doi.org/10.3390/biomedinformatics3030034  

Zhang J, Basu S, Kurgan L, 2023. HybridDBRpred: Improved Sequence-based Prediction of DNA-binding Amino Acids Using Annotations from Structured Complexes and Disordered Proteins. Nucleic Acids Research, gkad1131 IF: 14.9 (Q1 rank)

Kurgan L, Hu G, Wang K, Ghadermarzi S, Zhao B, Malhis N, Erdős G, Gsponer J, Uversky VN, Dosztányi Z, 2023. Tutorial: A Guide for the Selection of Fast and Accurate Computational Tools for the Prediction of Intrinsic Disorder in Proteins. Nature Protocols, 18:3157-3172 https://www.nature.com/articles/s41596-023-00876-x IF: 14.8 (Q1 rank)

Basu S, Zhao B, Biro B, Faraggi E, Gsponer J, Hu G, Kloczkowski A, Malhis N, Mirdita M, Söding J, Steinegger M, Wang D, Wang K, Xu X, Zhang J, Kurgan L, 2023. DescribePROT in 2023: More, Higher-Quality and Experimental Annotations and Improved Data Download Options. Nucleic Acids Research, gkad985 IF: 14.9 (Q1 rank)

Li F, Wang C, Guo X, Akutsu T, Webb GI, Coin LJM, Kurgan L, Song J, ProsperousPlus: A One-Stop and Comprehensive Platform for Accurate Protease-Specific Substrate Cleavage Prediction and Machine-Learning Model Construction, Briefings in Bioinformatics, 24(6):bbad372 IF: 9.5 (Q1 rank)

Basu S, Hegedus T, Kurgan L, 2023. CoMemMoRFPred: Sequence-Based Prediction of MemMoRFs by Combining Predictors of Intrinsic Disorder, MoRFs and Disordered Lipid-Binding Regions. Journal of Molecular Biology, 435(21):168272 https://www.sciencedirect.com/science/article/pii/S0022283623003832 IF: 5.6 (Q1 rank) 

Zhao B, Ghadermarzi S, Kurgan L, 2023. Comparative Evaluation of AlphaFold2 and Disorder Predictors for Prediction of Intrinsic Disorder, Disorder Content and Fully Disordered Proteins. Computational and Structural Biotechnology Journal, 21:3248-3258 https://www.sciencedirect.com/science/article/pii/S2001037023002143 IF: 6.0 (Q1 rank)

Del Conte A, Bouhraoua A, Mehdiabadi M, Clementel D, Monzon AM, CAID predictors (including Kurgan L), Tosatto S, Piovesan D, 2023. CAID Prediction Portal: a Comprehensive Service for Predicting Intrinsic Disorder and Binding Regions in Proteins. Nucleic Acids Research, 51(W1):W62-W69 IF: 14.9 (Q1 rank)

Basu S, Gsponer J, Kurgan L, 2023. DEPICTER2: A Comprehensive Webserver for Intrinsic Disorder and Disorder Function Prediction. Nucleic Acids Research, 51(W1):W141-W147 IF: 14.9 (Q1 rank)

Wang M, Kurgan L, Li M, 2023. A Comprehensive Assessment and Comparison of Tools for HLA Class I Peptide-binding Prediction. Briefings in Bioinformatics, 24(3):bbad150 IF: 9.5 (Q1 rank)

Basu S, Kihara D, Kurgan L, 2023. Computational Prediction of Disordered Binding Regions. Computational and Structural Biotechnology Journal, 21:1487-1497 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957716/ IF: 6.0 (Q1 rank)

Zhang F, Li M, Zhang J, Shi W, Kurgan L, 2023. DeepPRObind: Modular Deep Learner that Accurately Predicts Structure and Disorder-annotated Protein Binding Residues. Journal of Molecular Biology, 435(14):167945 https://www.sciencedirect.com/science/article/pii/S0022283623000013 IF: 5.6 (Q1 rank)

Yang G, Luo C, 2023. Performance Improvement in UAV Communication Systems with Uncertain Solar Energy Supply. IEEE Internet of Things Journal (IoT), 10 (22): 19607-19616 IF: 10.6 (Q1 rank)

Seng S, Luo C, Li X, Ji H, 2023. Stable Communications in Green Unmanned Aerial Relaying Systems. IEEE Internet of Things Journal (IoT), 10 (19): 16675-16685 IF: 10.6 (Q1 rank)

Misba WA, Mavikumbure HS, Rajib Md. M, Marino DL, Cobilean V, Manic M, and Atulasimha J, 2023. Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting in IEEE Access. doi: 10.1109/ACCESS.2023.3326414 IF 3.56 (Q2 rank)

Wickramasinghe CS, Marino DL, Mavikumbure HS, Cobilean V, Pennington TD, Varghese BJ, Rieger C, Manic M, 2023. RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data. IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3294349 IF 9.55 (Q1 rank)

Cobilean V, Mavikumbure HS, McBride BJ, Vaagensmith B, Singh VK, Li R, Rieger C, Manic M, 2023. A Review of Visualization Methods for Cyber-Physical Security: Smart Grid Case Study. IEEE Access, doi: 10.1109/ACCESS.2023.3286304 IF: 3.56 (Q1 rank)

Siff L, Tsouvalas V, Bost LF, Manic M, 2023. Surgical teaching of the retropubic midurethral sling: a virtual reality training system. International Urogynecology Journal. 34(5):1127-1129, doi:10.1007/s00192-023-05448-x IF: 1.93

Cuffy C, McInnes BT, 2023. Exploring a deep learning neural architecture for closed Literature-based discovery. Journal of Biomedical Informatics. 143:104362, https://doi.org/10.1016/j.jbi.2023.104362 IF: 4.5 (Q2 rank)

Nguyen AT, Childs HM, Salter WM, Filippas AV, McInnes BT, Senecal K, Lawton TJ, D’Angelo PA, Zukas W, Alexander TE, Ayotte V, 2023. Prediction of the Structural Color of Liquid Crystals via Machine Learning. Liquids. 3(4):440-55 https://www.mdpi.com/2673-8015/3/4/28 

Ayyat M, Nadeem T, and Krawczyk B. ClassyNet: Class-Aware Early Exit Neural Networks for Edge Devices. IEEE Internet of Things Journal (IoT). IF: 10.6 (Q1 rank)

Frattini J, Fucci D, Mendez D, Spínola R, Mandić V,  Taušan N, Ahmad M, Gonzalez-Huerta J, 2023. An initial theory to understand and manage requirements engineering debt in practice. Information and Software Technology. 159:107201, https://www.sciencedirect.com/science/article/pii/S0950584923000551 IF: 3.9 (Q2 rank)

Freire S, Rios N, Pérez B, Castellanos C, Correal D, Ramač R, Mandić V, Taušan N, López G, Pacheco A, Mendonça M, Falessi D, Izurieta C, Seaman C, Spínola R, 2023. Software practitioners’ point of view on technical debt payment. Journal of Systems and Software, 196:111554, https://www.sciencedirect.com/science/article/pii/S0164121222002308 IF: 3.5 (Q2 rank)

Gomes F, Santos E, Freire S, Mendes T, Mendonca M, and Spinola R, 2023. Investigating the Point of View of Project Management Practitioners on Technical Debt - A Study on Stack Exchange. Journal of Software Engineering Research and Development. https://sol.sbc.org.br/journals/index.php/jserd/article/view/3191/2334 

Berenguer C, Borges A, Freire S, Rios N, Ramac R,  Mandica V, Tausan N, Rios N, Perez B, Castellanos C, Correal D, Pacheco A, Lopez G, Mendonca M, Falessi D, Seaman C, Izurieta C, and Spinola R, 2023. Investigating the Relationship between Technical Debt Management and Software Development Issues. Journal of Software Engineering Research and Development. https://sol.sbc.org.br/journals/index.php/jserd/article/view/2581

Qasim S, Raza M, Ahmed I, 2023. vPLC: A scalable PLC testbed for IIoT security research. 9th Annual Industrial Control System Security Workshop (ICSS'23), in conjunction with 39th Annual Computer Security Applications Conference (ACSAC'23), December 2023, Austin, TX https://www.acsac.org/2023/workshops/icss/ 

Vijayakanthan R, Waguespack K, Ahmed I, Ali-Gombe A, 2023. Fortifying IoT Devices: AI-Driven Intrusion Detection via Memory-Encoded Audio Signals. IEEE Secure Development Conference (SecDev), October 2023, Atlanta, GA

Qasim S, Jo W, Ahmed I, 2023. PREE: Heuristic Builder for Reverse Engineering of Network Protocols in Industrial Control Systems. 23rd Annual Digital Forensics Research Conference (DFRWS US'23), July 2023, Baltimore, MD https://doi.org/10.1016/j.fsidi.2023.301565 

Ahsan M, Rais M, Ahmed I, 2023. SOK: Side Channel Monitoring for Additive Manufacturing - Bridging Cybersecurity and Quality Assurance Communities. 8th IEEE European Symposium on Security and Privacy (EuroS&P'23), July 2023, Delft, Netherlands

Ayub A, Zubair N, Yoo H, Jo W, Ahmed I, 2023. Gadgets of Gadgets in Industrial Control Systems: Return Oriented Programming Attacks on PLCs. 16th IEEE International Symposium on Hardware Oriented Security and Trust (HOST), May 2023, San Jose, CA

Awad R, Rais M, Rogers M, Ahmed I, Paquit V, 2023. Towards Generic Memory Forensic Framework for Programmable Logic Controllers. 10th Annual Digital Forensics Research Conference Europe (DFRWS EU'23), March 2023, Bonn, Germany https://doi.org/10.1016/j.fsidi.2022.301339 

Rais M, Ahsan M, Ahmed I. 2023. FRoMEPP: Digital Forensic Readiness Framework for Material Extrusion based 3D Printing Process. 10th Annual Digital Forensics Research Conference Europe (DFRWS EU'23), March 2023, Bonn, Germany https://doi.org/10.1016/j.fsidi.2023.301510 

McDonough M, Moomaw T, Touhiduzzaman M, Bulut E, 2023. Wi-Alert: WiFi Sensing for Real-time Package Theft Alerts at Residential Doorsteps. 24th ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc '23) - The 8th National Workshop for REU Research in Networking and Systems (REUNS), October 23-26, Washington, DC, USA. pp. 424-429, https://dl.acm.org/doi/10.1145/3565287.3617615  

Farley J, Chapnevis A, Bulut E, 2023. Generalized Path Planning for Collaborative UAVs using Reinforcement and Imitation Learning. 24th ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc '23) - The 8th National Workshop for REU Research in Networking and Systems (REUNS), October 23-26, Washington, DC, USA. pp. 457-462, https://dl.acm.org/doi/10.1145/3565287.3617622 

Vilela BD, Kokkera K, Chapnevis A, Bulut E, 2023. UAV Control Using Eye Gestures: Exploring the Skies Through Your Eyes. 24th ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc '23) - The 8th National Workshop for REU Research in Networking and Systems (REUNS), October 23-26, Washington, DC, USA. pp. 447-452, https://dl.acm.org/doi/10.1145/3565287.3617619  

Chapnevis A, Bulut E, 2023. AoI-Optimal Cellular-Connected UAV Trajectory Planning for IoT Data Collection. IEEE 48th Conference on Local Computer Networks (LCN), pp. 1-6 

Bakr A, Srewa M, Bulut E, Akkaya K, Rahman M, Alsharif A, 2023. Privacy-Preserving V2V Charge Sharing Coordination using the Hungarian Algorithm. 97th IEEE Vehicular Technology Conference (VTC2023-Spring), pp. 1-6, (CORE B rank)

Chapnevis A, Bulut E, 2023. Delay Optimal UAV Trajectory Planning for Secure Data Collection from Mobile IoT Networks. IEEE International Conference on Industrial Technology (ICIT), pp. 1-4 

Hernandez SM, Bulut E, 2023. Scheduled Spatial Sensing against Adversarial WiFi Sensing, IEEE International Conference on Pervasive Computing and Communications (PERCOM), Atlanta, Georgia, USA, (CORE A* rank)

Roseberry M, Dzeroski S, Bifet A, Cano A, 2023. Aging and rejuvenating strategies for fading windows in multi-label classification on data streams. 38th ACM/SIGAPP Symposium on Applied Computing, pp. 390-397, https://dl.acm.org/doi/abs/10.1145/3555776.3577625 (CORE B rank)

Aguiar G, Cano A, 2023. An active learning budget-based oversampling approach for partially labeled multi-class imbalanced data streams. 38th ACM/SIGAPP Symposium On Applied Computing, pp. 382-389, https://dl.acm.org/doi/abs/10.1145/3555776.3577624 (CORE B rank)

Aguiar G, Cano A, 2023. Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning. 8th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data, IEEE International Conference on Big Data.

Sajadi A, Damevski K, Chatterjee P, 2023. Interpersonal Trust in OSS: Exploring Dimensions of Trust in GitHub Pull Requests. IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER), pp. 19–24  

Sajadi A, Damevski K, Chatterjee P, 2023. Towards Understanding Emotions in Informal Developer Interactions: A Gitter Chat Study. 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE), pp. 2097-2101 https://doi.org/10.1145/3611643.3613084  

Le TV, Nguyen MV, Nguyen TN, Dinh TN, Djordjevic I, Zhang Z-L, 2023. Benchmarking Chain Strength: An Optimal Approach for Quantum Annealing. IEEE International Conference on Quantum Computing and Engineering (QCE), 1:397-406

Khandavilli S, Palanisamy I, Nguyen MV, Le TV, Nguyen TN, Dinh TN, 2023. Towards Fidelity-Optimal Qubit Mapping on NISQ Computers. IEEE International Conference on Quantum Computing and Engineering (QCE), 1:89-98

Nguyen TN, Nguyen DHP, Nguyen MV, Le TV, Liu B-H, Dinh TN, 2023. Maximizing Key Distribution Capability: An Application in Quantum Cryptography. IEEE International Conference on Quantum Computing and Engineering (QCE), 1:1187-1197

Le TV, Nguyen MV, Khandavilli S, Dinh TN, Nguyen TN, 2023. Quantum Annealing Approach for Selective Traveling Salesman Problem. ICC 2023 - IEEE International Conference on Communications. pp. 2686-2691

Tang H, Zhao Y, Wang G, Luo C, Wang W, 2023. Wireless Signal Denoising Using Conditional Generative Adversarial Networks. Workshops at IEEE Conference on Computer Communications (INFOCOm’23), pp. 1-6

Rathnayaka P, Gamage G, De Silva D, Alahakoon D, Manic M, 2023. EmoZen: A Robust Word Embedding for Implicit and Explicit Expressions of Emotion. IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, pp. 1-4, doi: 10.1109/IECON51785.2023.10312470 (CORE C rank)

Cobilean V, Mavikumbure HS, Wickramasinghe CS, Varghese BJ, Pennington T, Manic M, 2023. Anomaly Detection for In-Vehicle Communication Using Transformers. IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, pp. 1-6, doi: 10.1109/IECON51785.2023.10311788 (CORE C rank)

Mavikumbure HS, Cobilean V, Wickramasinghe CS, Varghese BJ, Pennington T, Manic M, 2023. DAdAE: Domain Adversarial Autoencoder Based In-Vehicle CAN Anomaly Detection," IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, 2023, pp. 1-7, doi: 10.1109/IECON51785.2023.10312001 (CORE C rank)

Gunasekara L, Moraliyage H, De Silva D, Mills N, Alahakoon D, Jennings A, Manic M, 2023. A Cybersecurity Framework for Home Energy Management Systems using Artificial Intelligence. 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), pp. 1-6, doi: 10.1109/ISIE51358.2023.10227961 (CORE C rank)

Gamage G, Kahawala S, Mills N, De Silva D, Manic M, Alahakoon D, Jennings A, 2023. Augmenting Industrial Chatbots in Energy Systems using ChatGPT Generative AI. 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), Helsinki, Finland, pp. 1-6, doi: 10.1109/ISIE51358.2023.10228101 (CORE C rank)

Moraliyage H, Haputhanthri D, Samarajeewa C, Mills N, De Silva D, Manic M, Jennings A, 2023. Automated Machine Learning in Critical Energy Infrastructure for Net Zero Carbon Emissions. 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), Helsinki, Finland, pp. 1-7, doi: 10.1109/ISIE51358.2023.10227985 (CORE C rank)

Gunasekara L, Moraliyage H, De Silva D, Mills N, Alahakoon D, Jennings A, Manic M, 2023. A Cybersecurity Framework for Home Energy Management Systems using Artificial Intelligence. 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), Helsinki, Finland, pp. 1-6, doi: 10.1109/ISIE51358.2023.10227961 (CORE C rank)

Mavikumbure HS, Cobilean V, Wickramasinghe CS, Phillips T, Varghese BJ, Carlson B, Rieger C, Pennington T, Manic M, 2023. Physical Anomaly Detection in EV Charging Stations: Physics-based vs ResNet AE, 32nd International Symposium on Industrial Electronics (ISIE), Helsinki-Espoo, Finland, doi: 10.1109/ISIE51358.2023.10228104 (CORE C rank)

Silva D, Mills N, El-Ayoubi M, Manic M, Alahakoon D, 2023. ChatGPT and Generative AI Guidelines for Addressing Academic Integrity and Augmenting Pre-Existing Chatbots. 2023 IEEE International Conference on Industrial Technology (ICIT), Orlando, FL, USA, pp. 1-6, doi: 10.1109/ICIT58465.2023.10143123 (CORE C rank)

Cobilean V, Mavikumbure HS, Wickramasinghe CS, Marino DL, Manic M, 2023. Informed Deep Learning for Anomaly Detection in Cyber-Physical Systems. 2023 IEEE International Conference on Industrial Technology (ICIT), Orlando, FL, USA, pp. 1-7, doi: 10.1109/ICIT58465.2023.10143126 (CORE C rank)

Osman M, Nadeem T, Khoriba G, 2023. Towards Generalizable SER: Soft Labeling and Data Augmentation for Modeling Temporal Emotion Shifts in Large-Scale Multilingual Speech. 37th Conference on Neural Information Processing Systems (NeurIPS 2023) - Workshop on Machine Learning for Audio, Dec. 10-16, 2023, New Orleans, USA. 

Osman M, Nadeem T, Hemida A, and Kamhoua C, 2023. Optimizing Honeypot Placement Strategies with Graph Neural Networks for Enhanced Resilience via Cyber Deception. Proceedings of the 2nd Graph Neural Networking Workshop 2023 (GNNet ’23) in conjunction with ACM Conference on emerging Networking EXperiments and Technologies (CoNEXT), Dec. 4-8, 2023, Paris, France. https://doi.org/10.1145/3630049.3630169 

Ayyat M, Nadeem T, Krawczyk B, 2023. Class-Aware Neural Networks for Efficient Intrusion Detection on Edge Devices, 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), Madrid, Spain, pp. 204-212, doi: 10.1109/SECON58729.2023.102874 (CORE B rank)

Freire S, Rocha V, Mendonca M, Izurieta C, Seaman C, Spinola R, 2023. Assessing IDEA Diagrams for Supporting Analysis of Capabilities and Issues in Technical Debt Management. In Product-Focused Software Process Improvement: 24th International Conference, PROFES 2023, Dornbirn, Austria, December 10-13, Proceedings, Part I. Springer-Verlag, Berlin, Heidelberg, pp. 243-258. https://doi.org/10.1007/978-3-031-49266-2_17 (CORE B rank)

Santos L, Freire S, Santos A, Mendonca M, and Spinola R, 2023. A Thematic Synthesis on Empathy in Software Engineering. In Proceedings of the XXXVII Brazilian Symposium on Software Engineering (SBES '23). Association for Computing Machinery, New York, NY, USA, pp. 332-341, https://doi.org/10.1145/3613372.3613407 (Distinguished paper award)

Freire S, Gomes F, Barbosa L, Mendes T, Reges G, Maciel R, Mendonca M, and Spinola R, 2023. Requirements Engineering Issues Experienced by Software Practitioners: A Study on Stack Exchange. In the 29th International Working Conference on Requirement Engineering: Foundation for Software Quality. Barcelona, Spain. https://www.springerprofessional.de/en/requirements-engineering-issues-experienced-by-software-practiti/25204328  (CORE B rank)

Zhou Z, Zhang B, Zhou HS, Ren K, 2023. Endemic Oblivious Transfer via Random Oracles, Revisited. Advances in Cryptology – EUROCRYPT 2023, pp. 303-329. https://link.springer.com/chapter/10.1007/978-3-031-30545-0_1  (CORE A* rank)

Yucel F, Yuksel M, Bulut E, 2023. Stable Worker–Task Assignment in Mobile Crowdsensing Applications, In: Mobile Crowdsourcing: From Theory to Practice, pp. 143-162, Cham: Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-031-32397-3_6  

Uversky VN, Kurgan L 2023. Overview Update: Computational Prediction of Intrinsic Disorder in Proteins, In: Boyle A, (Eds.), Current Protocols, 3:e802 Wiley (ISSN:2691-1299) https://currentprotocols.onlinelibrary.wiley.com/doi/abs/10.1002/cpz1.802 

Bi Z, Kurgan L 2023. Databases of Protein Structure and Function Predictions at the Amino Acid Level, In: Kurgan L, (Ed.) Machine Learning in Bioinformatics of Protein Sequences, pp. 329-354, World Scientific (ISBN 978-981-125-857-2) https://www.worldscientific.com/doi/abs/10.1142/9789811258589_0013 

Bi Z, Kurgan L 2023. Machine Learning for Intrinsic Disorder Prediction, In: Kurgan L, (Ed.) Machine Learning in Bioinformatics of Protein Sequences, pp. 205-236, World Scientific (ISBN 978-981-125-857-2) https://www.worldscientific.com/doi/abs/10.1142/9789811258589_0008 

Chen Z, Li F, Wang X, Wang Y, Kurgan L, Song J 2023. Designing Effective Predictors of Protein Post-translational Modifications using iLearnPlus, In: Kurgan L, (Ed.) Machine Learning in Bioinformatics of Protein Sequences, pp. 309-328, World Scientific (ISBN 978-981-125-857-2) https://www.worldscientific.com/doi/abs/10.1142/9789811258589_0012 

Li M, Zhang F, Kurgan L 2023. Machine Learning Methods for Predicting Protein-nucleic acids Interactions, In: Kurgan L, (Ed.) Machine Learning in Bioinformatics of Protein Sequences, pp. 265-288, World Scientific (ISBN 978-981-125-857-2) https://www.worldscientific.com/doi/abs/10.1142/9789811258589_0010

Bokhari Y, Alhareeri A, Aljouie A, Alkhaldi A, Rashid M, Alawad M, Alhassnan R, Samargandy S, Panahi A, Heidrich W, Arodz T, 2022. ChromoEnhancer: An Artificial-Intelligence-Based Tool to Enhance Neoplastic Karyograms as an Aid for Effective Analysis. Cells, 11(14):2244, https://doi.org/10.3390/cells11142244 IF: 7.666 (Q2 rank)

Saeedi S, Serrano M, Yang D, Brooks JP, Buck G, Arodz T, 2022. Group Testing Matrix Design for PCR Screening with Real-Valued Measurements. Journal of Computational Biology 29(12):1397-1411, https://doi.org/10.1089/cmb.2022.0413 IF: 1.549 (Q3 rank)

Hernandez S M, Bulut E, 2022. WiFi Sensing on the Edge: Signal Processing Techniques and Challenges for Real-World Systems, IEEE Communications Surveys & Tutorials, doi: 10.1109/COMST.2022.3209144 https://ieeexplore.ieee.org/document/9900419  IF: 33.84 (Q1 rank)

Chapnevis A, Guvenc I, Bulut E, 2022. IMSI Sharing based Dynamic and Flexible Traffic Aggregation for Massive IoT Networks, IEEE Internet of Things Journal,  doi: 10.1109/JIOT.2022.3155923 https://ieeexplore.ieee.org/document/9724246 IF: 10.238 (Q1 rank)

Cano A, Krawczyk B, 2022. ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning on Imbalanced Drifting Data Streams. Machine Learning, 111:2561-2599, https://link.springer.com/article/10.1007/s10994-022-06168-x IF: 5.41 (Q2 rank)

Alberghini G, Barbon S, Cano A, 2022. Adaptive Ensemble of Self-Adjusting Nearest Neighbor Subspaces for Multi-Label Drifting Data Streams. Neurocomputing, 481:228-248, https://www.sciencedirect.com/science/article/abs/pii/S0925231222000984 IF: 5.78 (Q2 rank)

Solomon E, Woubie A and Cios KJ, 2022. UFace: An Unsupervised Deep Learning Face Verification System. Electronics, 11(23):3909; https://doi.org/10.3390/electronics11233909 IF: 2.69

Cranston DW, Nie J, Verstraete J, and Wesolek A, 2022. On Asymptotic Packing of Geometric Graphs. Discrete Applied Math. 322:142-152.  https://www.sciencedirect.com/science/article/pii/S0166218X2200292X IF: 1.254

Cranston DW, 2022. Kempe Equivalent List Edge-Colorings of Planar Graphs. Discrete Math (Special Issue in Honour of Landon Rabern). https://www.sciencedirect.com/science/article/pii/S0012365X22003867 IF: 0.961

Cranston DW, Lidicky B, Liu X, and Shantanam A, 2022. Planar Turan Numbers of Cycles: A Counterexample. Electronic Journal of Combinatorics. 29(3):P3.31,  https://www.combinatorics.org/ojs/index.php/eljc/article/view/v29i3p31 IF: 0.695

Cranston DW, 2022. Strong Edge-Coloring of Cubic Bipartite Graphs: A Counterexample. Discrete Applied Math. 321:258–260, https://www.sciencedirect.com/science/article/pii/S0166218X22002426 IF: 1.254

Cranston DW, 2022. List-Recoloring of Sparse Graphs. European Journal of Combinatorics. 105:103562,  https://www.sciencedirect.com/science/article/pii/S0195669822000592 IF: 0.89

Cranston DW, Mahmoud R, 2022. In Most 6-regular Toroidal Graphs All 5-colorings are Kempe Equivalent. European Journal of Combinatorics. 104:103532, https://www.sciencedirect.com/science/article/pii/S0195669822000282 IF: 0.89

Zhao Y, Damevski K, Chen H, 2022. A Systematic Survey of Just-In-Time Software Defect Prediction. ACM Computing Surveys, https://dl.acm.org/doi/10.1145/3567550 IF: 14.324 (Q1 rank)

Imran MM, Damevski K, 2022. Using Clarification Questions to Improve Software Developers’ Web Search. Information and Software Technology, 151:107021. https://doi.org/10.1016/j.infsof.2022.107021 IF: 3.862 (Q1 rank)

Sheth V, Damevski K, 2022. Grouping Related Stack Overflow Comments for Software Developer Recommendation. Automated Software Engineering, 29(2):40, https://doi.org/10.1007/s10515-022-00339-9 IF: 1.677

Pateras J, Vaidya A, Ghosh P, 2022. Network Thermodynamics-Based Scalable Compartmental Model for Multi-Strain Epidemics. Mathematics, 10(19):3513, https://doi.org/10.3390/math10193513. IF: 2.592 (Q1 rank)

Pateras J, Ghosh P, 2022. A Computational Framework for Exploring SARS-CoV-2 Pharmacodynamic Dose and Timing Regimes. Mathematics, 10(20):3739, https://doi.org/10.3390/math10203739. IF: 2.592 (Q1 rank)

Saha J, Bose P, Dhakal S, Ghosh P, Rangachari V, 2022. Ganglioside enriched phospholipid vesicles induce cooperative Aβ oligomerization and membrane disruption. Biochemistry, 61(20):2206–2220, https://doi.org/10.1021/acs.biochem.2c00495 IF: 3.321 (Q3 rank).

Pilkiewicz KR, Rana P, Mayo ML, Ghosh P, 2022. Predicting Supramolecular Structure from the Statistics of Individual Molecular Events. Mobile Netw Appl, https://doi.org/10.1007/s11036-022-02057-8 IF: 3.077 (Q2 rank)

Al Musawi AF, Roy S, Ghosh P, 2022. Identifying accurate link predictors based on assortativity of complex networks. Sci Rep 12:18107, https://doi.org/10.1038/s41598-022-22843-4 IF: 4.997 (Q2 rank)

Roy S, Bose P, Ghosh, P, 2022. Curbing Pandemic Through Evolutionary Algorithm-Based Priority Aware Mobility Scheduling. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/TITS.2022.3230013. IF: 9.551 (Q1 rank)

Roy U, Roy S, Khan R, Ghosh P, Ghosh N, 2022. MCR: A Motif Centrality-Based Distributed Message Routing for Disaster Area Networks. IEEE Internet of Things Journal, 9(24):25337-25349,  https://doi.org/10.1109/JIOT.2022.3196150. IF: 10.238 (Q1 rank)

Sleeman WC, Kapoor R, Ghosh P, 2022. Multimodal Classification: Current Landscape, Taxonomy and Future Directions. ACM Computing Surveys, 55(7):150, https://doi.org/10.1145/3543848 IF: 14.324 (Q1 rank)

Ribeiro SP, Barh D, Andrade BS, José Santana Silva R, Costa-Rezende DH, Fonseca PLC, Tiwari S, Giovanetti M, Alcantara LCJ, Azevedo VA, Ghosh P, Diniz-Filho JAF, Loyola R, de Almeida MFB, Góes-Neto A, 2022. Long-term unsustainable patterns of development rather than recent deforestation caused the emergence of Orthocoronavirinae species. Environ Microbiol. 24(10):4714-4724, https://doi.org/10.1111/1462-2920.16121. IF: 5.476 (Q2 rank)

Korycki L, Krawczyk B, 2022. Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams. Pattern Recognition, 129:108749 https://www.sciencedirect.com/science/article/pii/S0031320322002308 IF: 8.518 (Q1 rank)

Korycki L, Krawczyk B, 2022. Adversarial concept drift detection under poisoning attacks for robust data stream mining. Machine Learning, https://link.springer.com/article/10.1007/s10994-022-06177-w IF: 5.41 (Q2 rank)

Cano A, Krawczyk B, 2022. ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning on Imbalanced Drifting Data Streams. Machine Learning, 111:2561-2599, https://link.springer.com/article/10.1007/s10994-022-06168-x IF: 5.41 (Q2 rank)

Ghosh K, Bellinger C, Corizzo R, Branco P, Krawczyk B, Japkowicz N, 2022. The class imbalance problem in deep learning. Machine Learning https://link.springer.com/article/10.1007/s10994-022-06268-8 IF: 5.41 (Q2 rank)

Zhang F, Li M, Zhang J, Shi W, Kurgan L, 2022. DeepPRObind: Modular Deep Learner that Accurately Predicts Structure and Disorder-annotated Protein Binding Residues. Journal of Molecular Biology, https://www.sciencedirect.com/science/article/abs/pii/S0022283623000013 IF: 6.15 (Q1 rank)

Wu Z, Basu S, Wu X, Kurgan L, 2022. qNABpredict: Quick, Accurate and Taxonomy‐aware Sequence‐based Prediction of Content of Nucleic Acid Binding Amino Acids. Protein Science, 32(1):e4544 https://pubmed.ncbi.nlm.nih.gov/36519304/ IF: 6.99 (Q1 rank)

Zhang F, Li M, Zhang J, Kurgan L, 2022. HybridRNAbind: Prediction of RNA Interacting Residues Across Structure-annotated and Disorder-annotated Proteins. Nucleic Acids Research, https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkac1253/6984587  IF: 19.16 (Q1 rank)

Peng Z, Li Z, Meng Q, Zhao B, Kurgan L, 2022. CLIP: Accurate Prediction of Disordered Linear Interacting Peptides from Protein Sequences Using Co-Evolutionary Information. Briefings in Bioinformatics, https://pubmed.ncbi.nlm.nih.gov/36458437/ IF: 13.99 (Q1 rank)

Akbayrak IY, Caglayan SI, Kurgan L, Uversky VN, Coskuner-Weber O, 2022. Insights into the Structural Properties of SARS-Cov-2 Main Protease. Current Research in Structural Biology, 4:349-355 https://pubmed.ncbi.nlm.nih.gov/36466947/

Zhao B, Kurgan L, 2022. Compositional Bias of Intrinsically Disordered Proteins and Regions and Their Predictions. Biomolecules, 12(7):88 https://pubmed.ncbi.nlm.nih.gov/35883444/ IF: 6.06 (Q2 rank)

Biro B, Zhao B, Kurgan L, 2022. Complementarity of the Residue-level Protein Function and Structure Predictions in Human Proteins. Computational and Structural Biotechnology Journal, 20:2223-2234 https://pubmed.ncbi.nlm.nih.gov/35615015/ IF: 6.15 (Q1 rank)

Chen Z, Liu X, Zhao P, Li C, Wang Y, Li F, Akutsu T, Bain C, Gasser R, Li J, Yang Z, Gao X, Kurgan L, Song J, 2022. iFeatureOmega – an Integrative Platform for Engineering, Visualization and Analysis of Features from Molecular Sequences, Structural and Ligand Data Sets. Nucleic Acids Research, 50:W434–W447 https://pubmed.ncbi.nlm.nih.gov/35524557/ IF: 19.16 (Q1 rank)

Kurgan L, 2022. Resources for Computational Prediction of Intrinsic Disorder in Proteins. Methods, 204:132-141 https://pubmed.ncbi.nlm.nih.gov/35367597/ IF: 4.65 (Q2 rank)

Zhao B, Kurgan L, 2022. Deep Learning in Prediction of Intrinsic Disorder in Proteins. Computational and Structural Biotechnology Journal, 20:1286-1294 https://pubmed.ncbi.nlm.nih.gov/35356546/ IF: 6.15 (Q1 rank)

Zhao B, Kurgan L, 2022. Surveying over 100 Predictors of Intrinsic Disorder in Proteins. Expert Review of Proteomics, 18(12): 1019-1029 https://pubmed.ncbi.nlm.nih.gov/34894985/ IF: 4.25 (Q2 rank)

Ji T, Luo C, Yu L, Wang Q, Chen S, Thapa A, Li P, 2022. Energy-Efficient Computation Offloading in Mobile Edge Computing Systems with Uncertainties. IEEE Transactions on Wireless Communications, 21(8):5717-5729, https://ieeexplore.ieee.org/document/9687316 IF: 8.346 (Q1 rank)

Zhao H, Sun X, Dong J, Manic M, Zhou H, Yu H, 2022. Dual discriminator adversarial distillation for data-free model compression. Int. J. Mach. Learn. & Cyber. 13:1213–1230, https://doi.org/10.1007/s13042-021-01443-0 IF 4.377 (Q2 rank)

French E, McInnes BT, 2022. An overview of biomedical entity linking throughout the years. Journal of Biomedical Informatics, 37:104252, https://doi.org/10.1016/j.jbi.2022.104252 IF: 8.00 (Q1 rank)

Ferrell BJ, Raskin SE, Zimmerman EB, Timberline DH, McInnes BT, Krists AH, 2022. Attention-Based Models for Classifying Small Data Sets Using Community-Engaged Research Protocols: Classification System Development and Validation Pilot Study. JMIR Formative Research, 6(9):e32460, https://pubmed.ncbi.nlm.nih.gov/36066925/

Tang C, McInnes, BT, 2022. Cascade Processes with Micellar Reaction Media: Recent Advances and Future Directions. Molecules 27(17):5611, https://www.mdpi.com/1420-3049/27/17/5611 IF: 4.927 (Q2 rank)

Olex AL, French E, Burdette P, Sagiraju S, Neumann T, Gal TS, McInnes BT, 2022. TopEx: topic exploration of COVID-19 corpora-Results from the BioCreative VII Challenge Track 4. Database, 2022:baac063 https://doi.org/10.1093/database/baac063 IF: 4.46 (Q1 rank)

McInnes BT, Downie JS, Hao Y, Jett J, Keating K, Nakum G, Ranjan S, Rodriguez NE, Tang J, Xiang D, Young EM, Nguyen MH, 2022. Discovering Content through Text Mining for a Synthetic Biology Knowledge System. ACS Synthetic Biology, 11(6):2043-2054, https://doi.org/10.1021/acssynbio.1c00611 IF: 5.249 (Q1 rank)

Rodriguez NE, Nguyen M, McInnes BT, 2022. Effects of data and entity ablation on multitask learning models for biomedical entity recognition. Journal of Biomedical Informatics, 130:104062, https://doi.org/10.1016/j.jbi.2022.104062. IF: 8.00 (Q1 rank)

Olex AL, McInnes BT, 2022. Temporal disambiguation of relative temporal expressions in clinical texts. Frontiers in Research Metrics and Analytics, 7:1001266, https://www.frontiersin.org/articles/10.3389/frma.2022.1001266/full

Nukavarapu S, Nadeem T, 2022. iKnight - Guarding IoT Infrastructure using Generative Adversarial Networks. IEEE Access. 10:132656-132674, https://ieeexplore.ieee.org/document/9963550 IF: 3.476 (Q2 rank)

Nadeem T, Uddin M, 2022. Acoustic-WiFi: Acoustic Support for Wi-Fi Networks in Smart Devices, IEEE Transactions on Communications. 70(6):3977-3994, https://ieeexplore.ieee.org/document/9766124 IF: 6.166 (Q1 rank)

Fronchetti F, Ritschel N, Holmes R, Li L, Soto M, Jetley R, Wiese I, Shepherd D, 2022. Language impact on productivity for industrial end users: A case study from Programmable Logic Controllers. Journal of Computer Languages, 69:101087, https://www.sciencedirect.com/science/article/pii/S2590118421000630 IF: 1.778

Ritschel N, Sawant AA, Weintrop D, Holmes R, Bacchelli A, Garcia R, Chandrika KR, Mandal A, Francis P, Shepherd DC, 2022. Training industrial end-user programmers with interactive tutorials. Software: Practice and Experience. https://onlinelibrary.wiley.com/doi/abs/10.1002/spe.3167 IF: 3.20

Pacheco A, Marin-Raventos G, Spinola R, Lopez G, Seaman C, 2022. Making Technical Debt Visible Using Hybrid Sankey Diagrams: An Industrial Case Study. International Journal of Software Engineering and Knowledge Engineering, 32(9):1-34, https://doi.org/10.1142/S0218194022500632 IF: 1.0

Ramac R, Mandic V, Tausan N, Rios N, Freire S, Perez B, Castellanos C, Correal D, Pacheco A, Lopez G, Izurieta C, Seaman C, Spinola R, 2022. Prevalence, Common Causes and Effects of Technical Debt: Results from a Family of Surveys with the IT Industry. Journal of Systems and Software, 184:111114, https://doi.org/10.1016/j.jss.2021.111114 IF:3.514

Zhou Z, Zhang B, Chen Y, Li J, Zhou Y, Lu Y, Ren K, Thai P, Zhou HS, 2022. Scriptable and composable SNARKs in the trusted hardware model. J. Comput. Secur. 30(6):757-793, https://content.iospress.com/articles/journal-of-computer-security/jcs210167

Zubair N, Ayub A, Yoo H, Ahmed I, 2022. Control Logic Obfuscation Attack in Industrial Control Systems. IEEE International Conference on Cyber Security and Resilience (IEEE CSR). https://doi.org/10.1109/CSR54599.2022.9850326

Davis M, McInnes B, Ahmed I, 2022. Forensic Investigation of Instant Messaging Services on Linux OS: Discord and Slack as Case Studies. 22nd Annual Digital Forensics Research Conference (DFRWS US). https://doi.org/10.1016/j.fsidi.2022.301401

Rais M, Ahsan M, Sharma V, Barua R, Prins R, Ahmed I, 2022. Low-magnitude Infill Structure Manipulation Attacks on FFF-based 3D Printers, 16th IFIP International Conference on Critical Infrastructure Protection (ICCIP). https://doi.org/10.1007/978-3-031-20137-0_8

Zubair N, Ayub A, Yoo H, Ahmed I, 2022. PEM: Remote Forensic Acquisition of PLC Memory in Industrial Control Systems. 9th Annual Digital Forensics Research Conference Europe (DFRWS EU). https://doi.org/10.1016/j.fsidi.2022.301336

Rais M. Awad R. Lopez Jr. J, Ahmed I, 2022. Memory Forensic Analysis of a Programmable Logic Controller in Industrial Control Systems. 9th Annual Digital Forensics Research Conference Europe (DFRWS EU). https://doi.org/10.1016/j.fsidi.2022.301339

Vijayakanthan R, Ahmed I, Ali-Gombe A, 2022. Transforming Memory Image to Sound Wave Signals for an Effective IoT Fingerprinting. 12th ACM Conference on Data and Application Security and Privacy (CODASPY). https://doi.org/10.1145/3508398.3519366

Saeedi S, Serrano M, Yang D, Brooks JP, Buck G, Arodz T, 2022. Real-valued Group Testing for Quantitative Molecular Assays. Conference on Research in Computational Molecular Biology RECOMB'22. https://link.springer.com/chapter/10.1007/978-3-031-04749-7_8 (CORE B rank)

Hernandez SM, Bulut E, 2023. Scheduled Spatial Sensing against Adversarial WiFi Sensing, IEEE International Conference on Pervasive Computing and Communications (PERCOM), Atlanta, Georgia, USA, https://www.percom.org/list-of-accepted-paper (CORE A* rank)

Hernandez SM, Touhiduzzaman M, Pidcoe PE, Bulut E, 2022. Wi-PT: Wireless Sensing based Low-cost Physical Rehabilitation Tracking, IEEE International Conference on E-health Networking, Application & Services (Healthcom), 17-19 October, Genoa, Italy (pp. 113-118) https://ieeexplore.ieee.org/document/9982743

Chapnevis A, Bulut E, 2022. Share-Not-To-Waste: Scalable IoT Networking through Subscriber Identity Sharing, 19th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), October 20-22, Denver, Colorado, USA (pp. 262-263). https://ieeexplore.ieee.org/document/9973693 

Hernandez S M, Bulut E, 2022. Online Stream Sampling for Low-Memory On-Device Edge Training for WiFi Sensing, 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks - ACM Workshop on Wireless Security and Machine Learning (WiseML), May 16-19, San Antonio, Texas (pp. 9-14). https://dl.acm.org/doi/10.1145/3522783.3529521 

Yucel F, Bulut E, 2022. Three-dimensional Stable Task Assignment in Semi-opportunistic Mobile Crowdsensing, 23rd IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), June 14-17, Belfast, UK (pp. 386-395). https://ieeexplore.ieee.org/document/9842821 (CORE B rank)

Bertini J, Cano A, 2022. An explainable classifier based on genetically evolved graph structures. IEEE Congress on Evolutionary Computation, https://ieeexplore.ieee.org/document/9870293 (CORE B rank)

Cachi PG, Jain S, Ventura S, Cauwenberghs G and Cios KJ, 2022. Reproducing Aplysia R-15 Bursting Neurodynamics on a Neuromorphic Microchip. 29^th IEEE Int. Conf. on Electronic Circuits and Systems, Glasgow, UK, 24-26 October, DOI: 10.1109/ICECS202256217.2022.9970967

Ciborowska A, Damevski K, 2022. Fast Changeset-based Bug Localization Using BERT. 44th International Conference on Software Engineering (ICSE 2022), Technical Track, Pittsburgh, PA, USA https://doi.org/10.1145/3510003.3510042 (CORE A* rank)

Imran M M, Jain Y, Chatterjee C, Damevski K, 2022. Data Augmentation for Improving Emotion Recognition in Software Engineering Communication. 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022), Technical Track, Ann Arbor, MI, USA (CORE A* rank)

Frazier M, Kumar S, Damevski K, Pollock L, 2022. Investigating User Perceptions of Conversational Agents for Software-related Exploratory Web Search. 44th International Conference on Software Engineering (ICSE 2022), New Ideas and Emerging ResultsTrack, Pittsburgh, PA, USA https://doi.org/10.1145/3510455.3512778 (CORE A* rank)

Thai P, Thai MT, Vu T, Dinh TN, 2022. FastHare: Fast Hamiltonian Reduction for Large-scale Quantum Annealing,  IEEE International Conference on Quantum Computing and Engineering (QCE) https://doi.org/10.1109/QCE53715.2022.00030

Nguyen T-Thai P, Jeter T, Dinh TN, Thai MT, 2022. Blockchain-based Secure Client Selection in Federated Learning, IEEE International Conference on Blockchain and Cryptocurrency (ICBC), https://doi.org/10.1109/ICBC54727.2022.9805521

Thai P, Thai MT, Vu T, Dinh TN, 2002. SaPHyRa: A Learning Theory Approach to Ranking Nodes in Large Networks, 38th IEEE International Conference on Data Engineering (ICDE 2022)  https://doi.org/10.1109/ICDE53745.2022.00009 (CORE A* rank)

Dinh TN, Nguyen A, Nguyen U, Nguyen LG, 2022. Quantum Social Computing Approaches for Influence Maximization, 2022 IEEE Global Communications Conference (GLOBECOM ‘22), Brazil, Dec 2022.
(CORE B rank)

Roy S, Al Musawi A, Ghosh P, 2022. Cost-effective Vaccine Provisioning using Coalitional Game Theory, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, pp. 795-798, https://doi.ieeecomputersociety.org/10.1109/BIBM55620.2022.9994915

Roy S, Ghosh P, 2022. Examining post-pandemic behaviors influencing human mobility trends. 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (BCB '22). New York, NY, USA, Article 40, https://doi.org/10.1145/3535508.3545552

Roy S, Chandra B, Anand A, Ghosh P, Ghosh N, 2022. Learning Temporal Mobility Patterns to Improve QoS in Mobile Wireless Communications. Computational Intelligence in Pattern Recognition (CIPR 2022). Lecture Notes in Networks and Systems, vol 480. Springer, Singapore, https://doi.org/10.1007/978-981-19-3089-8_34

Seng S, Yang G, Luo C, Li X, Ji H, 2022. Stochastic Optimization for Green Unmanned Aerial Communication Systems with Solar Energy. 2022 IEEE International Conference on Communications (ICC’22), Seoul, South Korea, May 16-20, https://ieeexplore.ieee.org/document/9839090 (CORE B rank)

Xiong T, Liu J, Zhang R, Zhang X, Luo C, Huang T, Liu Y, 2022. Delay-Aware Cooperative Caching for On-Chain Authentication in LEO Satellite Communications Systems, The 2022 IEEE International Conference on Communications (ICC’22), Seoul, South Korea, May 16-20, 2022. https://ieeexplore.ieee.org/document/9838696 (CORE B rank)

De Silva D, Nawaratne R, Ruminski J, Malinowski A, Manic M, 2022. Human System Interaction in Review: Advancing the Artificial Intelligence Transformation, 15th International Conference on Human System Interaction (HSI), pp. 1-5, doi: 10.1109/HSI55341.2022.9869473

Mavikumbure HS, Wickramasinghe CS, Marino DL, Cobilean V, Manic M, 2022. Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey. 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), pp. 1-7, doi: 10.1109/IECON49645.2022.9968505

Davis M, McInnes BT, Ahmed I, 2022. Forensic investigation of instant messaging services on linux OS: Discord and Slack as case studies. Forensic Science International: Digital Investigation 42(2022):301401, https://doi.org/10.1016/j.fsidi.2022.301401

Mahendran D, Tang C, McInnes BT, 2022. NLPatVCU CLEF 2022 ChEMU Shared Task System. Conference and Labs of the Evaluation Forum (CLEF) 2022 Working Notes. https://ceur-ws.org/Vol-3180/paper-65.pdf

Cuffy C, French E, Fehrmann S, McInnes BT, 2022. Exploring Representations for Singular and Multi-Concept Relations for Biomedical Named Entity Normalization. Web Conference 2022 (WWW '22), pp. 823-832, https://doi.org/10.1145/3487553.3524701

Mahendran D, Tang C, McInnes BT, 2022. Graph convolutional networks for chemical relation extraction. Web Conference 2022 (WWW '22), pp. 833-842, https://doi.org/10.1145/3487553.3524702

Ayyat M, Nukavarapu S, Nadeem T, 2022. Dynamic Deep Neural Network Adversarial Attacks for Edge-based IoT Devices. 2022 IEEE Global Communications Conference (GLOBECOM ‘22), Rio de Janeiro, Brazil, December, (CORE B rank)

Ayyat M, Nukavarapu S, Nadeem T, 2022. MirageNet - Towards a GAN-based Framework for Synthetic Network Traffic Generation, 2022 IEEE Global Communications Conference (GLOBECOM ‘22), Rio de Janeiro, Brazil, December, (CORE B rank)

Zhang Y, Krug DL, Mouza C, Shepherd DC, Pollock L, 2022. A Case Study of Middle Schoolers’ Use of Computational Thinking Concepts and Practices during Coded Music Composition. 27th ACM Conference on Innovation and Technology in Computer Science Education, vol. 1, pp. 33–39, https://dl.acm.org/doi/abs/10.1145/3502718.3524757 (CORE A rank)

Ritschel N, Fronchetti F, Holmes R, Garcia R, Shepherd DC, 2022. Can guided decomposition help end-users write larger block-based programs? a mobile robot experiment. ACM on Programming Languages, 6(OOPSLA2), pp. 233-258, https://dl.acm.org/doi/abs/10.1145/3563296 (CORE A rank)

Gomes F, Santos E, Freire S, Mendonca M, Mendes T, Spinola R, 2022. Investigating the Point of View of Project Management Practitioners on Technical Debt - A Preliminary Study on Stack Exchange. 2022 IEEE/ACM International Conference on Technical Debt (TechDebt), pp. 31-40, doi:10.1145/3524843.3528095

Soares G, Freire S, Rios N, Perez B, Castellanos C, Correal D, Mendonca M, Izurieta C, Seaman C, Spinola R, 2022. Investigating how Agile Software Practitioners Repay Technical Debt in Software Projects. 21th Brazilian Symposium on Software Quality (SBQS), Brazil, http://sbqs.sbc.org.br/2022/index.php/en-us/program/technical-sessions

Santos E, Gomes F, Freire S, Mendonca M, Souto T, Spinola R, 2022. Technical Debt on Agile Projects: Managers Point of View at Stack Exchange. 21th Brazilian Symposium on Software Quality (SBQS), Brazil, http://sbqs.sbc.org.br/2022/index.php/en-us/program/technical-sessions

Rios N, Spinola R, Travassos GH, 2022. Exploring Technical Debt on IoT Software Projects. 21th Brazilian Symposium on Software Quality (SBQS), Brazil, http://sbqs.sbc.org.br/2022/index.php/en-us/program/technical-sessions

Barbosa L, Freire S, Rios N, Ramac R, Mandic V, Tausan N, Perez B, Castellanos C, Correal D, Pacheco A, Lopez G, Maciel R, Mendonca M, Falessi D, Seaman C, Izurieta C, Spinola, R, 2022. Organizing the TD Management Landscape for Requirements and Requirements Documentation Debt. Workshop on Requirements Engineering (WER), http://hdl.handle.net/11603/25249

Rocha V, Freire S, Mendonca M, Spinola, R, 2022. Evaluating a Conceptual Framework for Supporting Technical Debt Management in Testing Activities. 7th Brazilian Symposium on Systematic and Automated Software Testing (SAST '22). Association for Computing Machinery, New York, NY, USA, pp. 69–78, https://doi.org/10.1145/3559744.3559753

Jia Y, Sun SF, Zhou HS, Du J, Gu D, 2022. Shuffle-based Private Set Union: Faster and More Secure. USENIX Security Symposium 2022. pp. 2947-2964 https://www.usenix.org/conference/usenixsecurity22/presentation/jia (CORE A* rank)

Zhang C, Zhou HS, Katz J, 2022. An Analysis of the Algebraic Group Model. Advances in Cryptology - ASIACRYPT 2022 https://doi.org/10.1007/978-3-031-22972-5_11 (CORE A rank)

Zhou Z, Zhang B, Zhou HS, Ren K, 2022. GUC-Secure Commitments via Random Oracles: New Impossibility and Feasibility. Advances in Cryptology - ASIACRYPT 2022 (CORE A rank) https://doi.org/10.1007/978-3-031-22972-5_5

Jia Y, Sun SF, Zhou HS, Gu D, 2022. A Universally Composable Non-Interactive Aggregate Cash System. Advances in Cryptology - ASIACRYPT 2022 https://doi.org/10.1007/978-3-031-22963-3_25 (CORE A rank)

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