Director's Message & Vision
Dedicated to leveraging technology to address real-world challenges, particularly in the healthcare domain — advancing computational approaches that promote intelligent and secure, data-driven solutions.

Mahamodul Hasan Mahadi is currently serving as a Lecturer in the Department of Computer Science at the American International University-Bangladesh (AIUB). He is currently pursuing a Doctor of Philosophy (PhD) at the Bangladesh University of Engineering and Technology (BUET). He earned both his Bachelor of Science (BSc) in Computer Science and Engineering (CSE) and his Master of Science (MSc) in Computer Science from AIUB. His research interests encompass Medical AI, Health Informatics, Natural Language Processing (NLP), Internet of Things (IoT), and Image Processing, with a particular emphasis on developing innovative solutions in computer vision, machine learning, privacy-preserving data analysis, federated learning, and self-supervised learning. He has actively contributed to several research projects, published articles in reputable journals, and presented his work at national and international conferences. Dedicated to leveraging technology to address real-world challenges, particularly in the healthcare domain, he continues to explore advanced computational approaches that promote intelligent and secure data-driven solutions.
Medical AI, Health Informatics, Natural Language Processing (NLP), Internet of Things (IoT), and Image Processing, with a particular emphasis on computer vision, machine learning, privacy-preserving data analysis, federated learning, and self-supervised learning.
Dedicated to leveraging technology to address real-world challenges, particularly in the healthcare domain — advancing computational approaches that promote intelligent and secure, data-driven solutions.
Medical AI, Health Informatics, Natural Language Processing (NLP), Internet of Things (IoT), and Image Processing.
Computer vision, machine learning, privacy-preserving data analysis, federated learning, and self-supervised learning.
Co-Founder & Director of Arché. Lecturer in Computer Science at AIUB and a PhD candidate at BUET, guiding the lab's research direction, academic rigor, and external collaborations.