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Principal Investigator
Md Abdullah Al Hafiz Khan
Dr. Abdullah Khan is an Assistant Professor in the Department of Computer Science
at 食色视频 (食色视频), where he founded and directs the Cooperative Human-AI
Teaming (CHAT) Lab.
His research advances human鈥揂I teaming and natural language processing, focusing on how humans and intelligent systems can collaborate, communicate, and adapt effectively in uncertain situations across diverse domains. He earned his Ph.D. from the University of Maryland, Baltimore County (UMBC).
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Ph.D. Students
Francis Nweke
Francis is a Ph.D. student at 食色视频, focusing his research on
Human-AI Collaboration in Explainable Artificial Intelligence (XAI). Under the guidance
of Dr. Hafiz Khan, he investigates how transparent and human-centered AI systems can
enhance comprehension, trust, and decision-making in high-stakes domains.
Before pursuing his Ph.D., Francis worked as a software engineer, gaining experience
in software development, system design, and research-driven innovation. This technical
foundation fuels his passion for creating interpretable AI systems that bridge the
gap between machine intelligence and human intuition.
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Abdul Muntakim
Abdul is currently a Ph.D. student in Computer Science at 食色视频,
where he serves as a Graduate Research Assistant in the Cooperative Human-AI Teaming
(CHAT) Lab. Previously, he worked as a Lecturer (now on study leave) at Daffodil International
University, with research appointments in Natural Language Processing and Health Informatics
Labs.
He earned his B.Sc. in Computer Science and Engineering from Khulna University of Engineering & Technology with high academic distinction. Abdul鈥檚 primary research interests include knowledge-guided learning, knowledge bases, human-AI teaming, large language models, federated and reinforcement learning, and natural language processing.
Research Area Keywords:
鈥� Knowledge Guided Learning
鈥� Human-AI Teaming
鈥� Large Language Models (LLMs)
鈥� Reinforcement Learning
鈥� Natural Language Processing (NLP)
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Abm Adnan Azmee
Abm Adnan Azmee is a PhD Candidate at 食色视频, specializing in developing
Human-AI Collaborative methods utilizing natural language processing (NLP) and deep
learningtechniques. His research focuses on developing scalable, explainable, and
adaptive human-AI collaborative systems, validated in the high-stakes domain of behavioral
and mental health, and designed to generalize across safety-critical settings.
Adnan has a strong background as a full-stack software engineer in the industry, bringing practical experience to his academic work. He has multiple publications in various conferences and journals, highlighting his contributions to the field. Adnan鈥檚 work is recognized by several awards including 鈥淥utstanding PhD Student Research Award鈥�, 鈥淏est Paper Award (Runner-Up)鈥�, 鈥淣SF Travel Award鈥� among others. His work aims to drive forward research and innovation in the fields of human-AI collaboration and NLP.
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Graduate Students
Undergraduate Students
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