Yiming Deng
Associate Chair for Graduate Studies
Electrical and Computer Engineering (ECE), College of Engineering
Professor - Electrical and Computer Engineering (ECE) in the College of Engineering
Engineering Bldg, 428 S Shaw Ln Room 2325B
Biography
Yiming Deng is a Professor of ECE at NDEL, MSU. A Fellow of ASNT, Prof. Deng has extensive experience in sensors and sensing systems for nondestructive evaluation (NDE) and systems health monitoring (SHM). His current research interests include NDE for Advanced Manufacturing, NDE 4.0 and 5.0, AI-enabled NDE/SHM systems with Uncertainty Quantification (UQ), and Statistical Methods in NDE (Causal Inference, ... Learning). He is interested in developing novel NDE/SHM sensors and sensing systems that involve multi-physics simulations for better understanding of imaging physics and conducting experimental validation as well as sensor prototyping for a wide range of engineering applications to assure critical energy and transportation infrastructures safety, security, reliability and sustainability. Funded by DOE, NSF, DOT/PHMSA Pipeline Safety Office, Office of Naval Research, Gas Technology Institute, Con Edison and other agencies, his work has resulted in over 190 peer-reviewed publications and 3 US patents pending.
Read MoreEducation
Ph.D., Electrical Engineering, Michigan State University, 2009
B.E., Electrical Engineering, Tsinghua University, Beijing, China, 2003
Awards
ASNT Fellowship Award (2021)
Best Poster Award (ISEM2019, ENDE2018, SPE-ACCE2018)
Best Paper Award (ANTEC2019)
ASNT Faculty Grant Award (2010, 2017)
... Read MorePublications
S. Mukherjee**, L. Udpa, Y. Deng*, Enhanced Defect Detection in NDE Using Registration aided Heterogeneous Data Fusion, NDT & E International, in press, (2023)
G Piao**, J Mateus, J Li, R Pachha, P Walia, Y Deng, S Chakrapani, Phased array ultrasonic imaging and characterization of adhesive bonding between thermoplastic composites aided by machine learning, Nondestructive Testing and Evaluation, DOI: 10.1080/10589759.2022.2134365, (2023)
Q Hu, W Lu, Y Guo, W He, H Luo, Y Deng, Vigor Detection for Naturally Aged Soybean Seeds Based on Polarized Hyperspectral Imaging Combined with Ensemble Learning Algorithm, Agriculture, 13(8), 1499, (2023)
S Aenagandula, S Mukherjee**, N Rao*, Y Deng, Adaptive segmentation-based evaluation of material properties of dielectric sheets using microwave NDE, Nondestructive Testing and Evaluation, 1-15, (2023)
... Read More