Dr. Mohammad Azam Khan is currently serving as an Associate Professor in the  Department of Computing and Information System at Daffodil International University (DIU), Dhaka, Bangladesh. He previously served as an Assistant Professor in the Department of Software Engineering (SWE) at DIU. Prior to joining DIU, he worked as a Postdoctoral Researcher at the Kim Jaechul Graduate School of Artificial Intelligence at KAIST, Republic of Korea. He also held several engineering positions at Dhaka Power Distribution Company Limited (DPDC), one of the largest power distribution utilities in Bangladesh, serving approximately two million customers within its service area.

Dr. Khan earned his Ph.D. degree in the  Department of Computer Science and Engineering (CSE) from the College of Informatics, Korea University, Seoul, South Korea. He earned his BS and MS  International Islamic University Chittagong (IIUC) and Bangladesh University of Engineering and Technology (BUET), respectively.

His research interests lie in the broad field of Artificial Intelligence (AI), with a particular focus on Computer Vision, LLM reasoning, Small Language Models (SLMs), Agentic AI, and trustworthy AI systems. His work is driven by the goal of developing intelligent, efficient, and autonomous AI solutions that address real-world challenges across diverse application domains.

Throughout his experience in industry, doctoral research, postdoctoral research, and academia, Dr. Khan has contributed significantly to advancing Artificial Intelligence through the development of innovative machine learning and deep learning techniques and their real-world applications. His research has been published in numerous top-tier international conferences and high-impact journals in the fields of Artificial Intelligence and Computer Science. Passionate about conducting cutting-edge research and fostering interdisciplinary collaboration, he continues to pursue innovative AI technologies that create meaningful societal and industrial impact.