معرفی
Dr. Ahmed Ashraf is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Manitoba's Price Faculty of Engineering. His research focuses on artificial intelligence, deep learning, and biomedical imaging applications in healthcare, epigenomics, transportation engineering, and power systems. He holds a B.Sc. from UET Lahore (2000), M.Sc. and Ph.D. from Carnegie Mellon University (2006/2010), and postdoctoral training at UPenn (2013) and Toronto Rehab Institute (2018).
- Education: B.Sc. (2000), M.Sc. (2006), Ph.D. (2010) – Carnegie Mellon; Postdocs at UPenn (2013), Toronto Rehab (2018)
His research interests include neural network architectures for biomedical image analysis, AI-driven epigenomic studies, and interdisciplinary AI applications. Key projects include developing interpretable CNN models for partial discharge classification in electrical systems, enhancing multimodal microwave imaging for breast cancer detection, and addressing algorithmic bias in facial analysis for dementia patients.
Publications span applications in medical imaging, material analysis, and AI ethics, with a focus on translating machine learning innovations into clinical and engineering solutions. He actively mentors graduate students seeking interdisciplinary research opportunities.
