Bhaskar Rimal, Ph.D.

• Internet of Things (IoT) Security
• Cyber-Physical Systems (CPS) Security
• Wireless Communications Security
• Hardware Security
• Quantum Machine Learning

Bhaskar Rimal is an assistant professor in the Department of Computer Science at University of Idaho. He was an assistant professor of computer and cyber sciences at Dakota State University. He was a visiting assistant professor and academic specialist at the Department of Computer Science at Tennessee Tech. University, Cookeville. Rimal was a visiting scholar with the Department of Computer Science at Carnegie Mellon University, Pittsburgh, PA.

He currently serves as a technical editor for the IEEE Network and associate editor for the IEEE Access. Further, he served as an associate technical editor for the IEEE Communications Magazine, associate editor for the EURASIP Journal on Wireless Communications and Networking, and an editor for the Internet Technology Letters. Rimal is a senior member of the IEEE and the ACM.

• A.Siddiqui, B. P. Rimal, M. Reisslein, D. GC, and Y. Wang, “SUTMS: Designing a Unified Threat Management System for Home Networks," IEEE Access, vol. 12, pp. 80930-80949, 2024.
• A. Siddiqui, B. P. Rimal, M. Reisslein and Y. Wang, "Survey on Unified Threat Management (UTM) Systems for Home Networks," IEEE Communications Surveys & Tutorials, doi: 10.1109/COMST.2024.3382470, Mar. 2024.
• S. Aiello and B. P. Rimal, “Secure Access Service Edge Convergence: Recent Progress and Open Issues,” IEEE Security & Privacy, vol. 22, no. 2, pp. 8-16, March-April 2024
• T. M. Lewis and B. P. Rimal, "Effects of Removing User-Land Hooks in Endpoint Protection During Attack Experiments," IEEE Access, vol. 12, pp. 15820-15844, 2024.
• Y. Wang, B. P. Rimal, et al., "IoT Device Identification Using Supervised Machine Learning," 2022 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 2022, pp. 1-6. 
• C. Koball, B. P. Rimal, Y. Wang, T. Salmen, and C. Ford. 2023. "IoT Device Identification Using Unsupervised Machine Learning" Information 14, no. 6: 320, 2023.
• P. Vyas, M. Reisslein, B. P. Rimal, G. Vyas, G. P. Basyal and P. Muzumdar, "Automated Classification of Societal Sentiments on Twitter with Machine Learning," in IEEE Transactions on Technology and Society, vol. 3, no. 2, pp. 100-110, June 2022.
• B. P. Rimal, C. Kong, B. Poudel, Y. Wang, and P. Shahi. 2022. "Smart Electric Vehicle Charging in the Era of Internet of Vehicles, Emerging Trends, and Open Issues" Energies 15, no. 5: 1908, 2022.
• C. Kong, B. P. Rimal, M. Reisslein, M. Maier, I. S. Bayram and M. Devetsikiotis, "Cloud-Based Charging Management of Heterogeneous Electric Vehicles in a Network of Charging Stations: Price Incentive Versus Capacity Expansion," in IEEE Transactions on Services Computing, vol. 15, no. 3, pp. 1693-1706, 1 May-June 2022.
• D. Sikeridis, B. P. Rimal, I. Papapanagiotou and M. Devetsikiotis, "Unsupervised Crowd-Assisted Learning Enabling Location-Aware Facilities," in IEEE Internet of Things Journal, vol. 5, no. 6, pp. 4699-4713, Dec. 2018.
• B. P. Rimal, M. Maier and M. Satyanarayanan, "Experimental Testbed for Edge Computing in Fiber-Wireless Broadband Access Networks," in IEEE Communications Magazine, vol. 56, no. 8, pp. 160-167, August 2018.
• B. P. Rimal, D. Pham Van and M. Maier, "Mobile-Edge Computing Versus Centralized Cloud Computing Over a Converged FiWi Access Network," in IEEE Transactions on Network and Service Management, vol. 14, no. 3, pp. 498-513, Sept. 2017.
• B. P. Rimal, D. P. Van and M. Maier, "Mobile Edge Computing Empowered Fiber-Wireless Access Networks in the 5G Era," in IEEE Communications Magazine, vol. 55, no. 2, pp. 192-200, February 2017.
• B. P. Rimal, D. Pham Van and M. Maier, "Cloudlet Enhanced Fiber-Wireless Access Networks for Mobile-Edge Computing," in IEEE Transactions on Wireless Communications, vol. 16, no. 6, pp. 3601-3618, June 2017.

• Senior Member, IEEE
• Senior Member, ACM