Research Labs

Ahmed Lab: Security and Forensics Engineering (SAFE) Lab focuses on a broad field of Cybersecurity including digital forensics, cyber-physical systems security, system security, malware, and cybersecurity education.

Arodz Lab: Bioinformatics explores and advances the fascinating research field where computer science methods meet problems from life sciences.

Bulut Lab: Mobile and Wireless Networks focuses on the development of algorithms and methods for understanding and modeling efficient mobile and wireless networks.

Cano Lab: High-Performance Data Mining focuses on big data mining and machine learning algorithms using high-performance computing.

Cios Lab: Data Mining and Biomedical Informatics focuses on the development of efficient learning algorithms and tools for data mining with applications in biology and medicine.

Damevski Lab: Software Improvement advances the state of the art in software maintenance and software engineering research.

Ghosh Lab: Biological Networks primarily focuses on areas of modeling and simulation of complex networks with a focus on biological networks and distributed computing.

Kurgan Lab: (un)Structural Bioinformatics searches for patterns, generates models and interprets information encoded in biologically interesting macromolecules using machine learning algorithms.

Manic Lab: Modern Heuristics Research focuses on the theoretical and applied research in Computational Intelligence (CI) algorithms, such as Artificial Neural Networks, Fuzzy Logic Systems and Unsupervised Learning techniques.

McInnes Lab: Natural Language Processing focuses on developing tools and methods that make it possible for the computer to understand human language

RamSec: Cybersecurity advances security technology to improve security management, critical infrastructure vulnerability assessment, computation security, cryptographic techniques and anonymity and privacy.

Ye Lab: The Robotics Lab focuses on the development of assistive robots for people with disabilities and algorithms to allow these robots to interact with their environments, collaborate with the human users in task accomplishments, and learn from their interaction with the users/environments. The lab also develops 3D computer vision methods for robot navigation.

Zhou Labs: Cryptography Lab (focusing on cryptography) and Lab-B (focusing on blockchain technologies).