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Russ College of Engineering and Technology
Faculty
Zhewei Wang

Zhewei Wang

Visiting Assistant Professor in AI
Electrical Engineering and Computer Science

Education

  • Ph.D., Computer Science, Ohio University, 2020
  • M.S., Biomedical Engineering, Ohio University, 2019
  • M.S., Electronic Engineering, Wuyi University, 2011
  • B.S., Telecommunications Engineering, University of Electronic Science and Technology of China

Research Interests

  • Artificial intelligence
  • Deep learning
  • Machine learning
  • Computer vision
  • NLP
  • Graph network
  • Reinforcement learning

Biography

Zhewei Wang completed his PhD and MS degrees at Ohio University in December 2020 and October 2019, respectively. Currently, he serves as a Visiting Assistant Professor in AI at the School of Electrical Engineering and Computer Science (EECS) at Ohio University. Prior to this role, he was engaged in research at Massachusetts General Hospital of Harvard Medical School from 2021 to 2023. His research focuses on Deep Learning, Machine Learning, Medical Image Analysis, Computer Vision, Natural Language Processing, and Reinforcement Learning.

Journal Article, Academic Journal (3)

  • Abuhajar, N., Wang, Z., Baltes, M., Yue, Y., Xu, L., Karanth , A., Smith, C., Liu, J. (2025). Three-stage hybrid spiking neural networks fine-tuning for speech enhancement. Frontiers in Neuroscience; 19: https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2025.1567347/full.
  • Bahamondes Lorca, V., Avalos Ovando, O., Sikeler, C., Ijäs, H., Santiago, E., Skelton, E., Wang, Y., Yang, R., Cimatu, K., Baturina, O., Wang, Z., Liu, J., Slocik, J., Wu, S., Ma, D., Pastukhov, A., Kordesch, M., Govorov, A. (2024). Lateral Flow Assay Biotesting by Utilizing Plasmonic Nanoparticles Made of Inexpensive Metals─Replacing Colloidal Gold. Nano Lett.; May 22;24(20):6069-6077: https://pubmed.ncbi.nlm.nih.gov/38739779/.
  • Bahamondes Lorca, V., Avalos Ovando, O., Wang, Z., Liu, J., Govorov, A. (2024). Lateral Flow Assay Biotesting by Utilizing Plasmonic Nanoparticles Made of Inexpensive Metals─ Replacing Colloidal Gold. Nano Letters; 18: https://pubs.acs.org/doi/10.1021/acs.nanolett.4c01022.

Patent Publications (1)

  • Govorov, A., Liu, J., Wang, Z. The machine learning process for the analog bio-detection with TiN, Cu@Au, and Au nano-particles. 24010-PROV.

Conference Proceeding (4)