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.

Co-creating Intelligent Neuro-Technologies for Healthy Aging (CINTHeA). Source: CFREF Connected Mind Team Grant
Our paper 'InfGraND: An Influence-Guided GNN-to-MLP Knowledge Distillation' has been accepted at Transactions on Machine Learning Research (TMLR).
Dr. Zulkernine awarded NSERC Discovery Grant for 'Advancing Machine Perception for Situation-Aware Goal-Oriented Human Machine Interaction'. Source: NSERC Discovery
Our paper 'A Multiagent Summarization and Auto-Evaluation Framework for Medical Text: Development and Evaluation Study' has been accepted to the Journal of Medical Internet Research (JMIR).
Explore our latest contributions to top-tier conferences and journals, showcasing our ongoing commitment to academic excellence and scientific discovery.
Anand, A., Rashno, E., Eskandari, A., Zulkernine, F.
Published in: International Conference on Machine Vision
Rao, V., Eskandari, A., Zulkernine, F., Helwa, M., Beach, D.
Published in: Machine Learning with Applications
Woo, M., Abdulsalam, H.M., Zulkernine, F., Harby, A.A.
Published in: Discover Artificial Intelligence
Teng, A., Anand, A., Zulkernine, F.
Published in: International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ITCH)





























