Yinan Wang

About

Education & Training

Ph.D., Industrial and Systems Engineering, Virginia Tech., 2022.
M.S., Electrical Engineering, Columbia University, 2019.
B.S., Electrical Engineering and Automation, Xi’an Jiaotong University, 2017.

Research

Primary Research Focus
Engineering-driven machine learning, deep learning, uncertainty quantification, system intelligence, advanced manufacturing.

Recognition

Awards & Honors

Mary G. and Joseph Natrella Scholarship, American Statistical Association (ASA), 2022

Featured Article in ISE Magazine, Institute of Industrial and Systems Engineers (IISE), 2022

SPES + Q&P Best Student Paper Award, American Statistical Association (ASA), 2022

Educational Foundation Scholarship and Analysis Division Scholarship, International Society of Automation (ISA), 2021

Gilbreth Memorial Fellowship, Institute of Industrial and Systems Engineers (IISE), 2021

Data Mining & Decision Analytics (DMDA) Best Theoretical Paper Award, INFORMS, 2021

Finalist of Best Student Paper Award, Quality, Statistics & Reliability (QSR) Section, INFORMS, 2021

Best Poster Award, Manufacturing Science & Engineering Conference (MSEC), ASME, 2021

Publications

Selected Publications

Yinan Wang, Kaiwen Wang, Wenjun Cai, Xiaowei Yue, 2022, “NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis”, IISE Transactions.

Yinan Wang, Weihong (Grace) Guo, Xiaowei Yue, 2022, “Tensor Decomposition to Compress Convolutional Layers in Deep Learning”, IISE Transactions.

Yinhua Liu, Wenzheng Zhao, Hongpeng Liu, Yinan Wang, Xiaowei Yue, 2022, “Coverage Path Planning for Robotic Quality Inspection with Control on Measurement Uncertainty”, IEEE/ASME Transactions on Mechatronics.

Yinan Wang, Diane Oyen, Weihong (Grace) Guo, Anish Mehta, Cory Scott, Nishant Panda, Giselle Fernandez-Godino, Gowri Srinivasan, Xiaowei Yue, 2021, “StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials”, NPJ Materials Degradation.

Kaiwen Wang, Yinan Wang, Xiaowei Yue, Wenjun Cai, 2021, “Multiphysics Modeling and Uncertainty Quantification of Tribocorrosion in Aluminum Alloys”, Corrosion Science.

The following is a selection of recent publications in Scopus. Yinan Wang has 16 indexed publications in the subjects of Engineering, Computer Science, Materials Science.

Yanzheng Li, Yinhua Liu, Yinan Wang, Xiaowei Yue
IEEE Sensors Journal
, 2024
.
Wenzheng Zhao, Yinan Wang, Jiawei Zhang, Yinhua Liu
IEEE/ASME Transactions on Mechatronics
, 2024
.
Jiayu Liu, Tommy Bird, Aadit Nagori, Johnson Samuel, Yinan Wang
Proceedings of ASME 2024 19th International Manufacturing Science and Engineering Conference, MSEC 2024
, 2
, 2024
.
Yinan Wang, Xiaowei Yue
Springer Optimization and Its Applications
, 211
, 2024
, pp.221-252
.
Xiaojian Wang, Yinan Wang, Jin Yang, Ying Chen
IISE Transactions
, 2024
.
Yinan Wang, Wenbo Sun, Jionghua Jin, Zhenyu Kong, Xiaowei Yue
IEEE Transactions on Pattern Analysis and Machine Intelligence
, 46
, 2024
, pp.944-956
.
Kent Slater, Yuxuan Li, Yinan Wang, Yongwei Shan, Chenang Liu
IISE Annual Conference and Expo 2023
, 2023
.
Yanzheng Li, Yinan Wang, Yinhua Liu
IEEE Transactions on Instrumentation and Measurement
, 72
, 2023
.
Wenzheng Zhao, Yinhua Liu, Yinan Wang, Xiaowei Yue
International Journal of Advanced Manufacturing Technology
, 127
, 2023
, pp.5233-5251
.
Yinhua Liu, Wenzheng Zhao, Hongpeng Liu, Yinan Wang, Xiaowei Yue
IEEE/ASME Transactions on Mechatronics
, 27
, 2022
, pp.3482-3493
.
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