AI ML Expert Lab

Unleashing Tomorrow's Intelligence Today

AI ML Expert Lab

Unleashing Tomorrow's Intelligence Today

Principle Investigator

Md Manjurul Ahsan

Md. Manjurul Ahsan received the M.S. degree in industrial engineering from Lamar University, USA, in 2018, and the Ph.D. degree in industrial and systems engineering from The University of Oklahoma, Norman, USA, in 2023. He is currently a Research Scholar with the Machine and Hybrid Intelligence Laboratory, School of Medicine, Northwestern University. His research interests include image processing, computer vision, deep learning, machine learning, and model optimization as applied to high-risk applications, such as medical imaging and diagnosis.

Senior Research Assistant

Md Shahin Ali

Md. Shahin Ali received the B.Sc. (Engg.) degree from the Department of Biomedical Engineering. He is currently pursuing the M.Sc. degree with the Department of Biomedical Engineering, Islamic University, Kushtia, Bangladesh. He has been a Research Assistant with the Bio-Imaging Research Laboratory, since June 2020. His exceptional academic performance has earned him recognition and respect among his peers and professors. His research interests include medical image processing, signal processing, computer vision, machine learning, deep learning, cognitive radio networks, and health informatics, reflecting his commitment to advancing the field of biomedical engineering. His dedication and passion for the discipline have led him to enroll in the master’s program with the Department of Biomedical Engineering, with the aim of expanding his knowledge and expertise further. As a recognized reviewer for reputable journals, his contributions to the same field are noteworthy. With his exceptional academic achievements, research contributions, and enthusiasm, he is poised to make significant contributions to the field of biomedical engineering.

Senior Research Assistant

Rakib Hossain Rifat

Rakib Hossain Rifat is a dynamic individual with a keen passion for technology and innovation. He graduated in Computer Science and Engineering from Ahsanullah University of Science and Technology (AUST) in 2021 and is currently pursuing a Master’s degree in Computer Science and Engineering at BRAC University. Rakib’s journey in technology extends beyond academia, as he has garnered practical experience in machine learning engineering roles. From his tenure at Polyfins Technology Inc., where he contributed to developing innovative solutions for healthcare, to his involvement in cutting-edge projects at Silicon Orchard Limited, Rakib has showcased his versatility and expertise in diverse domains, including computer vision, medical imaging, and machine learning. As a passionate researcher, Rakib has collaborated with esteemed professors and researchers to publish several papers in renowned journals and conferences. His research interests span federated learning, explainable AI, medical imaging, and sentiment analysis, reflecting his commitment to leveraging AI for societal benefit. With a vision to lead impactful research initiatives in the future, he is poised to make significant contributions to the field of AI.

Senior Research Assistant

Abdullah Al Nomaan Nafi

Abdullah Al Nomaan Nafi is a B.Sc. Engineering student in the Department of Information and Communication Technology (ICT) at the Islamic University, Kushtia-7003, Bangladesh. His research interests primarily revolve around medical imaging and computer vision. Nafi has gained valuable experience as a lab assistant at the IOT Innovation Lab and Islamic University Computer Vision Lab, where he has actively contributed to various research projects and gained hands-on experience in the field. In addition to his academic pursuits, Nafi is actively involved in the IEEE community and serves as the Secretary of the IEEE Islamic University Student Branch. He plays a crucial role in organizing technical events, workshops, and seminars, fostering a culture of innovation and knowledge-sharing among fellow students. Nafi has a strong passion for pushing the boundaries of technology and utilizing it to solve real-world problems. He has demonstrated dedication and enthusiasm in his academic and professional pursuits.