We are a team of researchers building Smart, Reliable, and Interpretable Systems. This page highlights the PI, postdoctoral fellows, PhD and Master students, undergraduates, and alumni.
Ph.D. (UC Davis), Postdoc (NTU, Singapore). Research: machine learning, formal methods, control, signal processing, interpretable fault diagnosis.
Research Area: Wind prediction.
Formal methods for discrete-system fault diagnosis & fault-tolerant control.
Formal methods and their applications to fault diagnosis.
Formal methods for interpretable fault diagnosis.
Manufacturing systems analysis with machine learning.
Physics-informed neural networks.
Robot control with reinforcement learning.
Physics-informed neural networks.
Control synthesis with temporal logic.
Interpretable fault diagnosis with temporal logic.
Reinforcement learning control with temporal logic.
Control theory with temporal logic.
Control theory with temporal logic.
Fault sourcing with causality.
Mechanical design.
Mechanical design.
Image processing.
Du Li (Master, 2022–2025) — First position: —
Cai Li (Master, 2022–2025) — First position: Startup
Ziyue Zeng (Master, 2022–2025) — First position: South China University of Technology
Ruoyao Tian (Undergraduate, 2022–2023) — First position: MS student at Zhejiang University
Wen Xin — —
Zhang Chen (Undergraduate, 2023–2025) — First position: MS student at Harbin Institute of Technology, Shenzhen
Zhang Ran (Undergraduate, 2023–2024) — First position: MS student at University of Science and Technology of China