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.
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, including NeurIPS, CVPR, ACL, IEEE transactions on medical imaging, Scientific Reports, Neural Networks, Surgical Endoscopy, etc. He has received several prestigious awards for his innovative contributions in research and technology, including two BASIS (Bangladesh Association of Software and Information System) National ICT Awards in 2020 and in the HeLP Challenge, organized by Asan Medical Center, Seoul, South Korea as an advisor to the champion team.
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. Passionate about conducting cutting-edge research and fostering interdisciplinary collaboration, he continues to pursue innovative AI technologies that create meaningful societal and industrial impact.
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. Passionate about conducting cutting-edge research and fostering interdisciplinary collaboration, he continues to pursue innovative AI technologies that create meaningful societal and industrial impact.