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 directs the Cooperative Human-AI Teaming (CHAT) Lab. His research centers on human–AI teaming, with the goal of developing next-generation AI algorithms that integrate natural language processing, large language models, knowledge representation, and AI-guided learning. His work places particular emphasis on text mining, embedded systems, healthcare, and other safety-critical domains, where trust, transparency, privacy, and security are essential for real-world deployment.

Prior to joining Kennesaw State University, he was a scientist at the Artificial Intelligence Lab at Philips Research North America in Cambridge, Massachusetts, working on applied AI solutions for healthcare technologies. He received his Ph.D. in Information Systems from the University of Maryland, Baltimore County, and his B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering & Technology (BUET). Before pursuing doctoral studies, he worked as a software engineer in several technology companies in Bangladesh.

 

News:

  • The paper “BrainDil: Enhanced and Efficient Brain Tumor Classification in MRI Images using Dilated Convolution” by Ryan Deem, Md Abdullah Al Hafiz Khan, Garrett Goodman, and Michail Alexiou has been published and won the Best Paper Award 2025 at the IEEE International Conference on Information, Intelligence, Systems and Applications, 2025.
  • The paper “Combined Correlational Network for Identifying Behavioral Health Cases from First Responder Reports” by Mason Pederson and colleagues was published at IEEE International Conference on Big Data 2024 and received the Runner-Up Best Paper Award, 2024.
  • The paper “Unsupervised Spatio-Temporal Anomalous Thermal Behavior Monitoring of Inside-Built Environments” by Naima Khan, Md Abdullah Al Hafiz Khan, and Nirmalya Roy was accepted at IEEE International Conference on Distributed Computing in Sensor Systems 2023, earning the Best Paper Award 2023 with a competitive 23.25% acceptance rate.
  • Kennesaw State student develops AI tools to help first responders diagnose behavioral health issues. Read More.
  • KSU students to present research at Symposium of Student Scholars, Spring 2025. Read More.
  • Spring 2024, Symposium showcases impactful research of KSU students. Read More.
  • Talon’ted Undergraduate Researcher - Christopher Dargan, Mentored by Dr. Khan. Read More.
  • New tech tools developed by Kennesaw State University will aid Cobb County with mental health calls. Read More.
  • Kennesaw State and Cobb County partnership pioneers new mental health 911 response. Read More
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