Yiming Deng

Yiming Deng is a Professor of Electrical and Computer Engineering (ECE) at Michigan State University (MSU), serving as the Associate Chair for Graduate Studies. He leads the Nondestructive Evaluation Laboratory (NDEL), focusing on advanced sensor technologies, AI-driven NDE/SHM systems, and uncertainty quantification. His research addresses critical infrastructure safety, energy systems, and aerospace applications.

Education:

• Ph.D., Electrical Engineering, Michigan State University, 2009
• B.E., Electrical Engineering, Tsinghua University, Beijing, China, 2003

Research Interests: Yiming Deng specializes in NDE 4.0/5.0 systems, AI-enhanced sensor fusion, and multi-physics simulations. His work bridges theoretical models with experimental validations, emphasizing practical applications like pipeline inspection, composite materials analysis, and food quality assessment. Recent projects include robotic NDE systems for cylindrical structures and eddy current-based temperature monitoring in additive manufacturing.

Publications & Trends: His 190+ peer-reviewed articles span AI-driven defect detection, multi-modal sensing, and sensor automation. Notable themes include fusion of heterogeneous data, ML-based material characterization, and real-time monitoring systems for industrial and agricultural applications.

Awards:

• ASNT Fellowship Award (2021)
• Best Paper/Poster Awards (ISEM, ENDE, ANTEC)
• FAA Better Way Award (2005)

Advising & Grants: Deng has advised over 20 graduate students and secured funding from DOE, NSF, DOT/PHMSA, Office of Naval Research, and industry partners like Con Edison. His lab collaborates on projects such as AI-enabled robotic inspection robots and multi-modal pipeline assessment systems.

Labs & Teams: The NDEL group develops cutting-edge tools like the Nonlinear Eddy Current Inspection System and Wireless Sensor Networks for real-time structural health monitoring. Ongoing efforts include miniaturized sensing systems and hybrid NDE frameworks for complex material analysis.