Yiwei Lyu

Yiwei Lyu serves as Assistant Professor in the Department of Computer Science and Engineering at Texas A&M University, joining the faculty in August 2025 after completing her Ph.D. at Carnegie Mellon University. Her research program bridges control theory, machine learning, and social science to develop safe, socially-compliant autonomous systems.

Her educational background includes:

• Ph.D. in Electrical and Computer Engineering, Carnegie Mellon University (2025)
• B.S. in Electronic Information Engineering, The Chinese University of Hong Kong, Shenzhen (2019)

Professor Lyu's work centers on risk-aware safe control for multi-agent systems, with emphasis on verifiable safety guarantees in human-robot interaction. She pioneers methods integrating control barrier functions with social preference modeling to enable robots that navigate complex environments while respecting human norms. Her research spans autonomous driving, multi-robot coordination, and human behavior prediction, consistently addressing the critical challenge of safety assurance in uncertain real-world scenarios.

Analysis of her 15 most recent publications reveals a cohesive trajectory: evolving from foundational safe control (2021-2022) to sophisticated risk-aware frameworks (2023-2024) that incorporate social compliance and learning. Her work consistently targets high-impact applications in autonomous vehicles while maintaining theoretical rigor, with 7 papers receiving best paper awards or nominations since 2021.

Her exceptional contributions have been recognized through:

• MIT EECS Rising Star (2024) - top global early-career honor
• IEEE/ACM Human-Robot Interaction Pioneer designation (2024)
• Qualcomm Innovation Fellowship (2023)
• Multiple best paper awards at ICRA, IROS, and AAMAS venues

Professor Lyu actively builds her research group, having welcomed her first PhD student in August 2025. Her competitive fellowship funding and rapid publication record indicate strong grant support potential. She serves on editorial boards (ICRA 2026 Associate Editor) and professional committees (Junior Co-chair, Multi-Robot Systems Technical Committee), demonstrating growing leadership in the robotics community.

As a new faculty member, Professor Lyu combines fresh perspective with proven research excellence, offering students unique opportunities to shape the future of safe autonomy at the intersection of engineering and social sciences.