Computing
200+
Publications
4000+
Citations
20+
Team Members
10+
Active Projects
Cutting-edge research spanning cognitive science, big-data analytics, and cloud computing infrastructures
AI & Cognitive Computing
Exploring the intersection of human cognition and artificial intelligence to create more intuitive and adaptive systems.
Big-Data Analytics
Developing scalable algorithms and frameworks to extract actionable insights from massive, complex datasets.
Cloud Computing
Optimizing distributed systems for performance, scalability, and security in next-generation cloud environments.
The Big Data & Analytics Management (BAM) Lab is a hub for innovation, where students and researchers collaborate to solve real-world problems using cutting-edge technologies.
Collaborative Environment
We foster a culture of teamwork and mentorship, encouraging cross-disciplinary collaboration among students and industry partners.
Well-Funded Research
Our projects are supported by leading grants and industry partnerships, providing resources for impactful research and development.
Diverse Research Topics
From healthcare analytics to autonomous systems, we tackle a wide range of challenges pushing the boundaries of technology.
Stay updated with the latest achievements, events, and announcements from the lab.
Our paper 'ASMa: Asymmetric Spatio-temporal Masking for Skeleton Action Representation Learning' by Aman Anand, Amir Eskandari, Elyas Rashno, and Dr. Farhana Zulkernine has been accepted at Transactions on Machine Learning Research (TMLR).
Our paper 'SK-DGCNN: Human activity recognition from point cloud data with skeleton transformation' by Zihan Zhang, Aman Anand, and Dr. Farhana Zulkernine has been accepted at Elsevier's Machine Learning with Applications journal.
Nafiz Sadman (Ph.D. student), co-authored with Dr. Furkan Alaca and Dr. Farhana Zulkernine, published his Master's thesis titled 'DepthPulse+: A Depth and Vital Sign Based Method for Face Presentation Attack Detection' at IEEE International Conference on Communications (Track: Communications and Information Systems Security). Congratulations!
Co-creating Intelligent Neuro-Technologies for Healthy Aging (CINTHeA). Source: CFREF Connected Mind Team Grant
Explore our latest contributions to top-tier conferences and journals, showcasing our ongoing commitment to academic excellence and scientific discovery.
Yu, E., Tian, H., Mohamad, F., Schultz, K., McEwen, L., Gauthier, S., Braund, H., Cofie, N., Dalgarno, N., Szulewski, A., Zulkernine, F., Kwan, B. Y. M.
Published in: Canadian Medical Education Journal
Mohamad, F., Zulkernine, F.
Published in: CVR-CIAN Conference 2025: The Brain and Integrative Vision, York University (Poster Abstracts)
Mohamad, F., Zulkernine, F., Sears, K.
Published in: IEEE/ACM Conference on Connected Health (CHASE)
Eskandari, A., Tao, J., Zulkernine, F., Morningstar, M., Poppenk, J., Herrmann, B.
Published in: IEEE Annual Computers, Software, and Applications Conference (COMPSAC)
