Md Abdullah Al Hafiz Khan

Kennesaw State University is seeking motivated PhD students to join the Cooperative Human-AI Teaming (CHAT) Lab, led by Professor Md Abdullah Al Hafiz Khan. The lab focuses on cutting-edge research in human-centered artificial intelligence, natural language processing, trustworthy AI, and machine learning. Students will have the opportunity to work on projects involving human-computer interaction, pervasive computing, and health information systems, contributing to the development of robust and scalable AI/ML solutions for real-world problems. The CHAT lab's research themes include understanding context and user interaction through smart devices, designing health and wellness technologies, and developing adaptive machine learning systems. The lab encourages interdisciplinary collaboration and aims to build applied machine learning systems that improve human life. Students will join a dynamic team and have access to state-of-the-art resources in the computer science department at Kennesaw State University, Georgia, USA. Applicants should have a strong background in computer science, artificial intelligence, machine learning, or related fields, with an interest in human-centered AI and natural language processing. Interested candidates are encouraged to contact Professor Md Abdullah Al Hafiz Khan and review the lab's website for more information about ongoing research and application procedures.

Fully funded PhD opportunity in Human-centered AI , Natural Language Processing , and Trustworthy AI at Kennesaw State University (Marietta, Georgia, USA), in the Cooperative Human-AI Teaming (CHAT) Lab within the Department of Computer Science. The position is supervised by Md Abdullah Al Hafiz Khan (Assistant Professor) and involves research in human-AI teaming, NLP, collaborative machine learning, interactive AI systems, and trustworthy AI. The flyer also mentions collaboration with Dr. Yong Pei . Eligibility: U.S. citizens or permanent residents only. Applicants with prior research or strong academic preparation in AI/ML, NLP, Human-AI Interaction, or Software Engineering are encouraged to apply. A master’s degree in Computer Science, AI/ML, Data Science, or a related field is preferred, though exceptional bachelor-level candidates may be considered. Funding: The position is fully funded. No stipend amount is listed in the post. How to apply: Email [email protected] with a single PDF containing a cover letter, CV, unofficial transcripts, and an optional sample publication or project. Applications are reviewed on a rolling basis, and early submission is strongly encouraged. Deadline: The flyer states a CS PhD application deadline of August 1, 2026 for Spring 2027 admission. Research interests and keywords: human-centered AI, NLP, trustworthy AI, AI/ML, human-AI interaction, interactive learning, machine learning, and software engineering.