- Robert Haas Endowed Professor and Department Chair
- Electrical, Computer & Biomedical Engineering
- 401.874.5844
- Fax: 401.782.6422
- haibohe@uri.edu
- Office Location: Fascitelli Center for Advanced Engineering 360B
- Lab: Computational Intelligence and Self-Adaptive Systems (CISA) Laboratory
Recent Grants1
| Grant | Portion Amount |
|---|---|
| 7/12/2020. Co-PI. Navatek, US Office of Naval Research. “RE-ROUTE: Network Cyber-Physical Security and Resiliency” | $538,146.84 (28.34%) of total $1,898,895.00 |
| 1/29/2019. PI. US Office of Naval Research. “Toward a Reliable and Resilient Smart Grid: From Early Detection to Grid Behavior Analysis.” | $360,000.00 (60%) of total $600,000.00 |
| 1/7/2019. PI. US Office of Naval Research. “Toward a Reliable and Resilient Smart Grid: From Early Detection to Grid Behavior Analysis.” | $478,729.20 (60%) of total $797,882.00 |
| 5/2/2018. PI. US Office of Naval Research. “Toward a Reliable and Resilient Smart Grid: From Early Detection to Grid Behavior Analysis.” | $330,000.00 (60%) of total $550,000.00 |
| 8/7/2017. PI. National Science Foundation. “Collaborative Research: Enabling Dynamic Spectrum Access for Future Broadband Wireless Networks Using Neuromorphic Computing.” | $221,188.00 (100%) |
| 3/22/2017. Co-PI. US Department of Interior. “CI – Electromagnetic Field Impacts on Elasmobranch (Sharks, Rays, and Skates) and American Lobster Movement and Migration from Direct Current Cables.” | $24,487.00 (16%) of total $153,042.04 |
Recent Publications1
| Citation | Journal Impact Factor |
|---|---|
| Li H, Clavette N, He H. An Analytical Update Rule for General Policy Optimization. International Conference on Machine Learning, 2022; 12696-12716. | — |
| He Haibo, Jiang H. Deep Learning based Energy Efficiency Optimization for Distributed Cooperative Spectrum Sensing, IEEE Wireless Communications, 2019; 26(3), 32-39. doi: 10.1109/MWC.2019.18003972 | 2021 JIF 13.432 |
| He H, Zhong X. Learning without external reward. IEEE Computational Intelligence Magazine, 2018; 13(3), 48-54. doi: 10.1109/MCI.2018.2840727 | 2021 JIF 5.713 |
| Ma Y, He H. Imbalance learning: foundations, algorithms, and applications. John Wiley & Sons, 2013. | — |
| He H. Self-adaptive systems for machine intelligence. John Wiley & Sons, 2011. | — |
| He H, Garcia EA. Learning from imbalanced data. IEEE Transactions on knowledge and data engineering, 2009; 21(9), 1263-1284. doi: 10.1109/TKDE.2008.239 | 2021 JIF 6.093 |
Honors & Awards
- 2017 NSF CAREER Award
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