Omprakash Gnawali, Ph.D.
Associate Professor of Computer Science
Research Areas: Computing and Software- Postdoc, Stanford University
- Ph.D. in Computer Science, University of Southern California
- M.Eng. in Electrical Engineering and Computer Science, Massachusetts Institute of Technology
- S.B. in Computer Science and Engineering, Massachusetts Institute of Technology
Omprakash Gnawali is an Associate Professor of Computer Science at the University of Houston. His research focuses on the Internet of Things (IoT), computer networks, wireless and sensing technologies, distributed systems, and artificial intelligence. He leads research activities in UH's Networked Systems Laboratory, investigating technologies for wireless communication, ultra-wideband localization, mobile systems, and networked sensing. His work also extends to cybersecurity, data analytics, and emerging applications of connected technologies. Gnawali has published research in leading conferences and journals in networking and distributed systems and has contributed to the development of wireless sensor network protocols and architectures.
- Aryo Yarahmadi, Alireza Ansaripour, Omprakash Gnawali, Insights from Implementation of Free Internet Program in Low-income Households Through Private LTE and Commercial 5G Networks, In Proceedings of the 2025 International Conference on Information Technology for Social Good (GoodIT 2025), September 2025.
- Alireza Ansaripour, Aryo Yarahmadi, Milad Heydariaan, Omprakash Gnawali, UWB-ND: Low-power Neighbor Discovery Protocol for Ultra-wideband Radio Networks, In Proceedings of the , IEEE 21st International Conference on Sensing, Communication, and Networking (SECON 2024), December 2024.
- Alireza Ansaripour, Milad Heydariaan, Omprakash Gnawali, Link characteristics study of ultra-wideband radios, In Elsevier Adhoc Networks, Volume 156, January 2024.
- Sadat Shahriar, Arjun Mukherjee, and Omprakash Gnawali, Exploring Deceptive Domain Transfer Strategies: Mitigating the Differences among Deceptive Domains, In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing (RANLP 2023), September 2023.
- Omer Akgul, Taha Eghtesad, Amit Elazari, Omprakash Gnawali, Jens Grossklags, Michelle L. Mazurek, Daniel Votipka, Aron Laszka, Bug Hunters' Perspectives on the Challenges and Benefits of the Bug Bounty Ecosystem, In Proceedings of the 32nd USENIX Security Symposium (USENIX Security 2023), August 2023. Best Paper Award.