Yiming Deng is an Associate Professor in the Nondestructive Evaluation Laboratory of Electrical and Computer Engineering department of the College of Engineering, Michigan State University, USA. He is also an Associate Editor of IEEE Transactions on Reliability (IEEE TREL), Materials Evaluation (ME), Journal of Prognstics and Health Management (JPHM), and RAMS Proceedings. He serves as panelist and reviewer for National Science Foundation (NSF), US Department of Energy (DOE), US Department of Transportation (DOT), NDSEG Program (US DoD and ASEE) and over 40 scientific journals. He is a Senior Member of IEEE and a Member of ASNT. He is a Fellow of AGE. Dr. Deng's research interests include electromagnetic and acoustic nondestructive evaluation (NDE), structural health monitoring (SHM) for multi-scale, multi-resolution, and multi-parameter damage diagnosis and prognosis; applied electromagnetics and acoustics, and computational modeling. His research work has been extensively supported by federal agencies for the development of novel NDE/SHM actuators and sensors, sensing systems that involve multi-physics simulations for understanding the physics, experimental validation and verification (V&V), as well as actuators/sensors prototyping and fabrication for a wide range of engineering applications to assure safety-critical defense, energy and transportation infrastructure safety, security, durability, reliability and sustainability. Dr. Deng's research has been supported by NSF, DOT, PHMSA, DOE, DoD, NIH, ASNT, NJH and private industries.
ASNT Research Symposium Travel Award, 2014 and 2015
ASNT Faculty Grant Award, 2010
FAA National Better Way Award, 2005
Ph.D., Electrical Engineering, Michigan State University, 2009
B.E., Electrical Engineering, Tsinghua University, Beijing, China, 2003
Li, Z, Deng, Y., Mastrangelo, C., Bayesian Hierarchical Model Selection for Degradation-based Reliability Prediction, Journal of Manufacturing Systems, Accepted and in press, 2016.
Shah, J., Qureshi, I., Proano, J., and Deng, Y.*, Compressively sampled MR image reconstruction using hyperbolic tangent-based soft-thresholding, Applied Magnetic Resonance. 46(2015), available online April 2015, DOI 10.1007/s00723-015-0683-2.
Wakeel, S., Kim, Y.J., and Deng, Y., Performance of Bridge Decks in a Cold Region and a High fidelity Sensing System for Damage Detection, American Concrete Institute Journal: Special Issue on Advanced Materials and Sensors toward Smart Concrete Bridges: Concept, Performance, Evaluation, and Repair. (2014), 187-206
Cheng, Y., Deng, Y.*, and Chen, K., Enhanced Magneto-optic Imaging System for Structural Health Monitoring, IEEE Transactions on Measurement and Instrumentation. 62(2013). 1192-1198.
Deng, Y*., and Golkowski, M., Innovative biomagnetic sensors for breast cancer: a model based study. Journal of Applied Physics. 111(2012). dx.doi.org/10.1063/1.3676430.
Deng, Y.*, Liu, X. and Udpa, L., Magneto-Optic Imaging for Aircraft Skins Inspection: a Probability of Detection Study of Simulated and Experimental Image Data. IEEE Transactions on Reliability. 61(2012). 901-908.