Professor
Associate Chair for Graduate Studies
dengyimi@msu.edu
(517) 355-5066
Education
Ph.D., Electrical Engineering, Michigan State University, 2009
B.E., Electrical Engineering, Tsinghua University, Beijing, China, 2003
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 three U.S. patents pending.
Publications
- 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)
- A. Mohand**, Z Li**, A Rao**, J Li**, P Fairchild, X Tan, Y Deng*, IMU-assisted robotic structured light sensing with featureless registration under uncertainties for pipeline inspection, NDT & E International, 139, 102936, (2023)
- X Huang**, O Elsharfiey**, K Farzia, L Udpa, M Han, Y Deng*, Acoustic Emission Source Localization using Deep Transfer Learning and Finite Element Modeling-based Knowledge Transfer, Materials Evaluation, 81, 73-84, (2023)
- Q Hu, W Lu, H Luo, D Dai, Y Deng, A Song, Non-contact Detection Method for Food Texture Assessment Based on Air-puff Combined with Structured Light Imaging, IEEE Transactions on Instrumentation and Measurement, 10.1109/TIM.2023.3273666, (2023)
- M Alzuhiri**, Z Li**, J Li**, A Rao**, Y Deng*, An automatic calibration algorithm for endoscopic structured light sensors in cylindrical environment, Nondestructive Testing and Evaluation, 1-23, (2023)
- J Li**, K Gopalakrishnan**, G Piao**, R Pacha, P Walia, Y Deng, S Chakrapani, Classification of adhesive bonding between thermoplastic composites using ultrasonic testing aided by machine learning, International Journal of Adhesion and Adhesives, 125, 103427, (2023)
- P Probst**, G. Piao**, D Kumar**, L Peng**, Y Kotriwar**, V Srinivasan, E Davis, J Constable, J Wong, Y Deng*, Miniaturized multi-modality field-ready sensing system for defect detection of CFRP materials, NDT & E International, 137, 102815, (2023)
- J Li**, G Piao**, V Desai, R Deatherage, Y Deng*, Multi-channel capacitive sensing system for cross bore detection and classification by machine learning, NDT & E International, 102851, (2023)
Awards
- ASNT Fellowship Award (2021)
- Best Poster Award (ISEM2019, ENDE2018, SPE-ACCE2018)
- Best Paper Award (ANTEC2019)
- ASNT Faculty Grant Award (2010, 2017)
- Federal Aviation Administration (FAA) Better Way Award (2005)
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