Yinan Wang
Assistant Professor in the Department of Industrial and Systems Engineering
Rensselaer Polytechnic Institute
Biography
Dr. Yinan Wang serves as the tenure-track assistant professor in the Department of Industrial and Systems Engineering at Rensselaer Polytechnic Institute. He received the Ph.D. degree in the Grado Department of Industrial and Systems Engineering at Virginia Tech under the supervison of Dr. Xiaowei Yue. His research interest lies in developing systematic engineering-driven machine learning methodologies with applications to advanced manufacturing.
Download his resumé.
For current undergraduate and graduate students at RPI, if you are interested to work with me on the cutting-edge ML/DL/RL projects, please feel free to send me an email or stop by my office at CII 5213.
Interests
- Artificial Intelligence
- Advanced Manufacturing
- System Intelligence
- Machine Learning
- Deep Learning
Education
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PhD in Industrial and Systems Engineering, 2022
Virginia Tech
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Master in Electrical Engineering, 2019
Columbia University
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Bachelor in Electrical Engineering and Automation, 2017
Xi'an Jiaotong University
Selected Awards
- DAIS Mobile App Competition (Winner), IISE (2023)
- Pritsker Doctoral Dissertation Award (2nd Place), IISE (2023)
- IISE Transactions Best Paper Award (Focus Issue on Data Science, Quality and Reliability), IISE (2023)
- IISE Transactions Best Paper Award (Focus Issue on Design and Manufacturing), IISE (2023)
- Trustee Celebration of Faculty Achievement Award, Rensselaer Polytechnic Institute (2022)
- Panel Fellow, NSF CMMI Game Changer Academy (2022-2023)
- FTC Early Career Grant, ASQ (2022)
- Best Ph.D. Dissertation Award, CIE Division, ASME (2022)
- Best Track Paper Award, DAIS Division, IISE (2022)
- Best Theoretical Paper Award, INFORMS 2021 Data Mining and Decision Analytics Workshop, Winner (2021)
News
- June 2025: Ph.D. student Junfeng Wu will present his research work at MSEC 2025 in Greenville, South Carolina!
- June 2025: Ph.D. students Jiayu Liu and Yue Zhao will present their research works at IISE Annual Conference 2025 in Atlanta!
- May 2025: Our group received the IBM-RPI Future of Computing Research Collaboration (FCRC) Grant. Congratulations!
- May 2025: Ph.D. students Jiayu Liu and Yue Zhao are selected as recipients of the NSF Student Travel Grant to participate in the IISE Annual Conference 2025 in Atlanta. Congratulations! We appreciate the support from IISE and NSF!
- April 2025: Our research work ADs: Active Data-selection for Data Quality Assurance in Data-sharing over Advanced Manufacturing Systems is accepted by IEEE Transactions on Automation Science and Engineering (T-ASE)! This work is led by Ph.D. student Yue Zhao. Congratulations!
- Jan. 2025: Our research work Uni-3DAD: Gan-inversion aided universal 3D anomaly detection on model-free products is accepted by Expert Systems with Applications (ESWA)! This work is led by Ph.D. student Jiayu Liu. Congratulations!
- Jan. 2025: Ph.D. student Jiayu Liu is selected as the Student Board Member at the IISE DAIS Division. Congratulations!
- Nov. 2024: Dr. Wang is selected to participate NSF Workshop on Data-driven Modeling and Prediction of Rare and Extreme Events hosted by Institute for Mathematical and Statistical Innovation (IMSI) at University of Chicago.
- Oct. 2024: Our group received the IBM-RPI Future of Computing Research Collaboration (FCRC) Grant. Congratulations!
- Oct. 2024: Ph.D. students Jiayu Liu, Junfeng Wu, and Yue Zhao presented their research works at INFORMS Annual Meeting 2024 in Seattle!
- July 2024: Ph.D. student Yue Zhao is selected to participate the Graduate Student Pilot Program hosted by NSF CMMI Game Changer Academy. Congratulations!
- August 2024 Ph.D. student Junfeng Wu passed the Doctoral Qualify Exam. Congratulations!
- April 2024 Ph.D. student Yue Zhao passed the Doctoral Qualify Exam. Congratulations!
- April 2024 Ph.D. student Jiayu Liu passed the Doctoral Qualify Exam. Congratulations!
- Feb. 2024 Dr. Wang is selected as the Scialog Fellow on Automating Chemical Laboratories (AUT) by Research Corporation for Science and Advancement (RCSA). Congratulations!
- Jan. 2024 Dr. Wang is elected as the Program Chair of ISA (International Society of Automation) ACARD (Automatic Controls and Robotics Division) 2024 Executive Board. Congratulations!
Experience
Assistant Professor
Rensselaer Polytechnic Institute
Graduate Research Assitant
Virginia Tech
Summer Research Intern
Lawrence Livermore National Lab
Summer Research Intern
Los Alamos National Lab
Group
Ph.D. Students
Jiayu Liu
Rensselaer Polytechnic Institute
Ph.D. Students
Junfeng Wu
Rensselaer Polytechnic Institute
Ph.D. Students
Yue Zhao
Rensselaer Polytechnic Institute
Ph.D. Students
Undergraduate Students
Aadit Nagori
Rensselaer Polytechnic Institute
Undergraduate Students
Aaryan Sonawane
Rensselaer Polytechnic Institute
Undergraduate Students
Tommy Bird
Rensselaer Polytechnic Institute
Undergraduate Students
Selected Publications
Name*: Equal contribution as co-first author
Name: Student under Dr. Wang’s supervision
Name#: Corresponding author
- Zhao, Y., Li, Y., Liu, C., Wang, Y., (2025), ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems, IEEE Transactions on Automation Science and Engineering.
- Liu, J., Mou, S., Gaw, N., Wang, Y., (2025), GAN-inversion for Unsupervised Industrial 3D Point Cloud Anomaly Detection, Expert System with Applications.
- Lutz, T., Wang, Y., Yue, X., Camelio, J., (2024), Reinforcement Learning for Fuselage Actuator Placement and Forces, IISE Transactions.
- Wang, Y., Lutz, T., Yue, X., (2024), SmartFixture: A Physics-guided Reinforcement Learning Framework for Automatic Fixture Design in Manufacturing Process, IISE Transactions.
- Wang, Y., Sun, W., Jin, J., Kong, Z., Yue, X. (2024). WOOD: Wasserstein-based out-of-distribution detection. IEEE Transactions on Pattern Analysis and Machine Intelligence.