Zhewei Wang

Zhewei Wang is a Visiting Assistant Professor in Artificial Intelligence at the School of Electrical Engineering and Computer Science (EECS) within the Russ College of Engineering and Technology at Ohio University. He holds a Ph.D. and M.S. in Computer Science and Biomedical Engineering from Ohio University (2020 and 2019, respectively), as well as an M.S. in Electronic Engineering from Wuyi University (2011) and a B.S. in Telecommunications Engineering from the University of Electronic Science and Technology of China. Prior to his current role, he conducted research at Massachusetts General Hospital of Harvard Medical School from 2021 to 2023.

His research interests span deep learning, machine learning, medical image analysis, computer vision, natural language processing, reinforcement learning, and graph networks. Notable contributions include work on plasmonic nanoparticles for medical diagnostics, semi-supervised learning for medical imaging, and spiking neural networks for speech enhancement.

Recent publications highlight advancements in medical imaging, speech processing, and neural network architectures. Key areas of focus include vessel segmentation in X-ray angiography, MRI conversion techniques, and Alzheimer’s disease staging through metric learning. His interdisciplinary research bridges AI with biomedical applications, emphasizing practical solutions in healthcare and diagnostics.

No scientific awards or grants are explicitly listed in the provided information. His academic advising and student mentorship details are not detailed here. He has contributed to collaborative projects at Ohio University and Harvard Medical School, reflecting his commitment to cutting-edge AI research.