Courses
- Fundamentals of Logic Design
- Logic Design Laboratory
Education
- Ph.D., Nanyang Technological University, 2025
Biography
Michael Yuhas received his Ph.D. in 2025 from the Interdisciplinary Graduate Program at Nanyang Technological University, Singapore, where his research focused on improving the safety of automated driver assistance systems in intelligent vehicles. Afterward, he worked briefly at Vanderbilt University as a postdoctoral scholar where his research broadened to include providing assurance for complex transit systems and networks in addition to individual vehicles.
Prior to his Ph.D., Yuhas worked in industry as a software quality assurance engineer at Apple and as a software validation engineer at Nio. He hopes to use his industry experience to prepare students for the challenges they will face after graduation and teach them the skills needed to survive and thrive in the software and electronics industries.
Research Interests
- Deep Learning in Safety-Critical Cyber-Physical Systems
- Real-Time Machine Learning
Selected Publications
M. Yuhas, G. Gunter, J. P. Talusan, A. Laszka, D. Freudberg, and A. Dubey, “Computing Headway Bounds under Worst-Case Bunching in Fixed-Line Transit Systems,” in 2026 IEEE 32nd International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Qingdao, China, Aug. 2026 (Outstanding Paper Award)
M. Yuhas, R. K. Ahir, L. V. T. Hartono, M. D. D. Putranto, A. Easwaran, and S. H. Supangkat, “Managing Charging Induced Grid Stress and Battery Degradation in Electric Taxi Fleets,” in 2025 IEEE Innovative Smart Grid Technologies – Asia (ISGT-Asia), Guangzhou, China, Nov. 2025, pp. 856–863, doi: 10.1109/ISGTAsia63446.2025.11431380. (Best Application Paper Award)
M. Yuhas, A. Easwaran, “Toward State-Aware Scheduling of Machine-Learning Workloads,” Real-Time Systems, Jun. 2025, doi: 10.1007/s11241-025-0944-w.
M. Yuhas and A. Easwaran, “Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems,” in 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, Sep. 2023, pp. 1996–2003, doi: 10.1109/ITSC57777.2023.10421953.
M. Yuhas and A. Easwaran, “Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot,” in RTSS@Work 2022, Houston, TX, USA, Dec. 2022, pp. 26–28.
M. Yuhas, D. J. X. Ng, and A. Easwaran. “Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems,” in 2022 IEEE 28th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Taipei, Taiwan, Aug. 2022, pp. 180–185, doi: 10.1109/RTCSA55878.2022.00025.
M. Yuhas, Y. Feng, D. J. X. Ng, Z. Rahiminasab, and A. Easwaran, “Embedded Out-of-Distribution Detection on an Autonomous Robot Platform,” in Proceedings of the Workshop on Design Automation for CPS and IoT, Nashville, TN, USA, May 2021, pp. 13–18, doi: 10.1145/3445034.3460509.