Meet Our Team

Md Abdullah Al Hafiz Khan

Dr. Abdullah Khan is an Assistant Professor in the Department of Computer Science at Kennesaw State University (KSU), where he founded and directs the Cooperative Human-AI Teaming (CHAT) Lab.

His research advances human–AI 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).

Francis Nweke

Francis is a Ph.D. student at Kennesaw State University, 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.

Abdul Muntakim

Abdul is currently a Ph.D. student in Computer Science at Kennesaw State University, 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’s 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:

• Knowledge Guided Learning
• Human-AI Teaming
• Large Language Models (LLMs)
• Reinforcement Learning
• Natural Language Processing (NLP)

Abm Adnan Azmee

Abm Adnan Azmee is a PhD Candidate at Kennesaw State University, 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’s work is recognized by several awards including “Outstanding PhD Student Research Award”, “Best Paper Award (Runner-Up)”, “NSF Travel Award” among others. His work aims to drive forward research and innovation in the fields of human-AI collaboration and NLP.