Dr. Saifur Rahaman is an Assistant Professor in the Department of Computer Science and Engineering at International Islamic University Chittagong (IIUC), Bangladesh. He received his PhD in Computer Science from City University of Hong Kong, where he developed computational intelligence and machine learning frameworks for precision oncology, with a focus on early cancer detection and anticancer drug-response prediction.

His research lies at the intersection of artificial intelligence, computational biology, bioinformatics, cancer genomics, and precision medicine. His current research focuses on developing machine learning and deep learning methods for early cancer detection, liquid biopsy analysis, cancer biomarker discovery, anticancer drug-response prediction, and integrative analysis of high-dimensional biomedical data. His broader research interest is in developing interpretable and clinically relevant computational approaches that connect molecular and cellular information with patient-level cancer phenotypes.

Dr. Rahaman has gained international research experience through collaborations and research activities at Massachusetts General Hospital and Harvard Medical School, and through interactions with researchers in computational and biomedical sciences. His research has contributed to studies involving circulating cell-free DNA and RNA, cancer biomarkers, drug combination responses, and AI-driven precision oncology.

He leads research activities through the BioCoM SR Lab (Laboratory for Bioinformatics and Computational Medicine) at IIUC, where he works with students and researchers on interdisciplinary projects spanning artificial intelligence, cancer biology, bioinformatics, and biomedical data science. His long-term research vision is to develop integrative computational frameworks that leverage multimodal molecular, cellular, and clinical data to improve cancer detection, characterization, and precision treatment.