Salah Mohammed Awad

Biography

Dr. Salah Alheejawi is a Lecturer Assistant at Al-Furat Al-Awsat University, Samawah Institute, Iraq. He previously served as a Postdoctoral Fellow at Northeastern University, USA, where he contributed to advanced research in artificial intelligence and biomedical imaging. He earned his Ph.D. from the University of Alberta, Canada, and holds an M.Tech. in Communication and Information Systems from Aligarh Muslim University, India. His research interests include machine learning, medical image analysis, pattern recognition, and computer vision.

Rsearch Interests

• My research revolves around the intersection of artificial intelligence, deep learning, and medical image analysis, with a particular focus on digital pathology and AI-driven diagnostics. Over the years, I have worked extensively on developing machine learning models to automate and enhance biomedical imaging interpretation, cancer detection, and abnormality classification, with the ultimate goal of improving healthcare outcomes and advancing computational medicine. During my PhD at the University of Alberta, I explored medical image processing, computer vision, and natural language processing (NLP), applying AI-driven methodologies to various biomedical challenges. My work has contributed to pioneering advancements in histopathological image segmentation, tumor grading, and predictive modeling. I have leveraged deep learning architectures, such as CNNs, U-Net, and GANs, to refine feature extraction, enhance classification accuracy, and optimize computational frameworks.