Russ College of Engineering and Technology
Faculty
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)
- Bihl, T., Majumder, R., Wang, Z., Karanth , A., Liu, J. (2025). Toward Low-SWaP Cognitive Agents: Neuromorphic Intelligence and FPGA-Based Deployments of Event Neural Networks. ICCV; 4715-4722. https://openaccess.thecvf.com/content/ICCV2025W/NeVi/html/Bihl_Toward_Low-SWaP_Cognitive_Agents_Neuromorphic_Intelligence_and_FPGA-Based_Deployments_of_ICCVW_2025_paper.html.
- Majudmer, R., Wang, Z., Yue, Y., Kalita, M., Liu, J. (2025). Enforcing Graph Structures to Enhance Key Information Extraction in Document Analysis. Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; 3: 6180625. https://www.scitepress.org/PublishedPapers/2025/132406/.
- Majumder, M., Wang, Z., Liu, J. (2024). Enforcing Graph Structures to Enhance Key Information Extraction in Document Analysis.
- Wang, Z., Liu, J. (2024). Semi-Supervised Learning and Focal Masking for Vessel Segmentation in X-ray Coronary Angiography.