معرفی
Qi Zhu is a Professor of Electrical and Computer Engineering (and by courtesy, Computer Science) at Northwestern University's College of Engineering. He leads the IDEAS Lab, focusing on design automation for intelligent cyber-physical systems (CPS) and IoT applications. His work emphasizes safety, robustness, security, and energy efficiency in embodied AI systems like autonomous vehicles, robotics, and smart infrastructure.
- Education: Ph.D. Electrical Engineering & Computer Science from UC Berkeley, B.E. Computer Science from Tsinghua University
Research Interests: Cross-layer design of CPS, formal verification of neural-network controlled systems, reinforcement learning under delays, and secure CPS architectures. Active in domains like connected vehicles, wearable computing, and industrial IoT.
Awards: Best Paper Award (DATE 2022), Humboldt Fellowship (2017), IEEE TCCPS Early-Career Award (2017), and multiple conference recognitions.
Grants: NSF FM, DESC, Fuse grants; GM and MxD Institute funding for manufacturing and CPS resilience projects.
