Er-Wei Bai

Er-Wei Bai is a Professor in the Department of Electrical and Computer Engineering at the University of Iowa's College of Engineering, where he has been a faculty member since 1987. He also holds affiliations with the Iowa Institute for Biomedical Imaging and the Iowa Technology Institute, reflecting his interdisciplinary research approach.

• PhD, E.E.C.S., University of California-Berkeley, 1987
• ME, E.E.C.S., Shanghai Jiaotong University, 1982
• BS, Physics, Fudan University, 1977

His research centers on system identification, control theory, and signal processing, with significant applications in engineering and life sciences. These interests are deeply integrated into both theoretical advancements and practical implementations, particularly in biomedical contexts. His work bridges the gap between mathematical modeling and real-world systems, making substantial contributions to adaptive control and data-driven modeling techniques.

The publications associated with Dr. Bai, accessible through Google Scholar, reflect a sustained focus on identification algorithms, nonlinear system modeling, and signal processing methods. The overarching themes across his scholarly output include robustness in estimation, convergence analysis, and application-oriented control solutions, spanning domains such as biomedical imaging and industrial systems.

• IEEE Fellow
• Editorial Board Member, IEEE Transactions on Automatic Control
• Editorial Board Member, Automatica
• Editorial Board Member, Journal of Control Theory and Applications
• Editorial Board Member, Signal Processing: Control and Unknown Systems
• Member, IFAC Technical Committee on Modeling, Identification and Signal Processing

Dr. Bai has advised numerous graduate students and postdoctoral researchers, though specific names are not listed in the provided text. His research has been supported by various funding agencies and collaborations, particularly through his roles at the Iowa Institute for Biomedical Imaging and the Iowa Technology Institute. He plays a key role in advancing research infrastructure and interdisciplinary collaboration within the College of Engineering.

He is actively involved in research through the Iowa Institute for Biomedical Imaging and the Iowa Technology Institute, where he contributes to cutting-edge projects that integrate control systems and signal processing with biomedical applications. These labs and institutes serve as hubs for innovation, bringing together engineers, clinicians, and data scientists to solve complex health-related challenges.