Resume

Basics

Name Yuan Jiang
Label Ph.D. Candidate
Email yuanj5@illinois.edu
Phone (217) 693-8624

Education

  • 2023.08 - Present

    Urbana, Illinois, USA

    Ph.D., University of Illinois Urbana-Champaign
    Industrial Engineering
    Advisor: Prof. Pingfeng Wang
    University of Illinois Urbana-Champaign
    Dissertation: Physics-informed multi-fidelity digital twins for design, diagnosis, and prognosis of complex engineering systems
  • 2020.09 - 2023.06

    Shanghai, China

    M.Sc., Tongji University
    Vehicle Engineering
    Advisor: Prof. Gang Niu
    Tongji University
    Thesis: Time-frequency feature extraction and health monitoring of rail short-pitch damage
  • 2015.09 - 2020.07

    Shanghai, China

    B.Sc., Tongji University
    Vehicle Engineering
    Tongji University

Work

  • 2023.05 - 2023.08

    Shanghai, China

    Power System Intern
    NIO Automobile, Inc
    • Developed data-driven condition monitoring and fault detection methods for EV power swap and charging systems, translating large-scale operational and sensor data into real-time health indicators and early-warning signals.
  • 2022.06 - 2022.08

    Shanghai, China

    Autonumous Driving Development Intern
    HiRain Technologies
    • Contributed to perception software development and data processing pipelines for multi-camera autonomous driving systems, with exposure to large-scale, high-throughput data integration and real-time system constraints.
  • 2021.02 - 2021.05

    Shanghai, China

    Battery Testing Intern
    NIO Automobile, Inc
    • Conducted experimental testing and data analysis for lithium-ion batteries, supporting model validation and data-informed performance assessment under real-world operating conditions.

Publications

# indicates equal contribution; * indicates corresponding author
Journal Papers
[J1]
Yuan Jiang, Yiyue Jiang, Zheng Liu, Pingfeng Wang. Physics-informed cross-attention operator network with hard-constrained Fourier features for heat map prediction of large-scale battery packs. Engineering Applications of Artificial Intelligence, 176 (2026) 114833.
• Second Place (Poster Competition), 2026 ISE Student Conference (2nd out of 28)
[J2]
Yuan Jiang, Alexandra N. Leeming, Joshua L. Rovey, Pingfeng Wang. Remaining useful life prediction for Hall thrusters based on adaptive self-cognizant dynamic system and multi-physics modeling. Journal of Mechanical Design, 148(7) (2026) 071701.
• ASME DAC Paper of Distinction (Top 10 out of 103)
[J3]
Zheng Liu, Yanwen Xu, Yuan Jiang, Anabel Renteria, Parth Bansal, Chenlong Xu, Pingfeng Wang, Yumeng Li. Uncertainty Quantification of Additively Manufactured Architected Cellular Materials for Energy Absorption Applications. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 11(3) (2025).
[J4]
Pouya Kabirzadeh, Zheng Liu, Mostafa Olyaei, Haoyun Qiu, Yashraj Gurumukhi, Harsh Tyagi, Yuan Jiang, Vivek S. Garimella, Bakhshish Preet Singh, Yumeng Li, Pingfeng Wang, Nenad Miljkovic. Integrating Heat Transfer and Control Optimization: A Comprehensive Review of Battery Thermal Management Systems. Journal of Energy Storage, 131 (2025) 117289.
[J5]
Yuan Jiang, Zheng Liu, Pouya Kabirzadeh, Yulun Wu, Yumeng Li, Nenad Miljkovic, Pingfeng Wang. Multi-fidelity Physics-informed Convolutional Neural Network for Heat Map Prediction of Battery Packs. Reliability Engineering & System Safety, 256 (2025) 110752.
[J6]
Yuejian Chen, Zihan Li, Yuan Jiang, Chunsheng Yang, Min Xia, Ke Feng. Enhanced Sparse LPV-ARMA Model with Ensemble Basis Functions for Mechatronic Transmission Fault Detection Under Variable Speed Conditions. IEEE Internet of Things Journal, 12(11) (2025) 17223–17232.
[J7]
Yuejian Chen, Zihan Li, Yuan Jiang, Dao Gong, Kai Zhou. Sparse LPV-ARMA Model for Non-Stationary Vibration Representation and Its Application on Gearbox Tooth Crack Detection Under Variable Speed Conditions. Mechanical Systems and Signal Processing, 224 (2025) 112161.
[J8]
Yuan Jiang, Yuejian Chen, Pingfeng Wang. An Iterative Adaptive Vold-Kalman Filter for Non-Stationary Signal Decomposition in Mechatronic Transmission Fault Diagnosis Under Variable Speed Conditions. IEEE Transactions on Industrial Informatics, 20(8) (2024) 10510–10519.
[J9]
Yuan Jiang, Gang Niu. An Iterative Frequency-Domain Envelope-Tracking Filter for Dispersive Signal Decomposition in Structural Health Monitoring. Mechanical Systems and Signal Processing, 179 (2022) 109329.
Conference Proceedings
[C1]
Alexandra N. Leeming, Yuan Jiang, Stephen Messing, Siyuan Wang, Joshua Rovey, Pingfeng Wang, J. G. Eden, Peter D. Dragic, Valentin Korman, Kurt Polzin. Exploration of an in-situ Hall thruster erosion and plasma diagnostic sensor. 2026 AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, FL, USA. 12 Jan. 2026, 14 Pages.
[C2]
Zheng Liu#, Yuan Jiang#, Yumeng Li, Pingfeng Wang. Physics-Informed Machine Learning Enhanced Battery Pack Optimization. 2025 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium (ITEC+ EATS), Anaheim, CA, USA. 18 June 2025, 5 Pages.
[C3]
Yuan Jiang, Alexandra N. Leeming, Joshua L. Rovey, Pingfeng Wang. Prognostics of Hall Thruster Erosion Using Multiphysics-Based Modeling and Machine Learning. 2025 Annual Reliability and Maintainability Symposium (RAMS 2025), Destin, FL, USA. 27 Jan. 2025, 7 Pages.
[C4]
Zheng Liu#, Yuan Jiang#, Yumeng Li, Pingfeng Wang. Physics-Informed Machine Learning for Battery Pack Thermal Management. 2025 Annual Reliability and Maintainability Symposium (RAMS 2025), Destin, FL, USA. 27 Jan. 2025, 7 Pages.
[C5]
Shimeng Yang, Yuan Jiang, Zheng Liu, Pingfeng Wang. Transductive Transfer Learning Features for Prognostics and Health Management. 2025 Annual Reliability and Maintainability Symposium (RAMS 2025), Destin, FL, USA. 27 Jan. 2025, 7 Pages.
[C6]
Parth Bansal, Yuan Jiang, Zhou Li, Sergio Cordero, Zahra Heussen, Debbie Senesky, Pingfeng Wang, Yumeng Li. Multiphysics Modeling and Simulation of Gas Sensor for NO₂ Detection. ASME International Mechanical Engineering Congress and Exposition (IMECE 2024), Portland, OR, USA. 17 Nov. 2024, 6 Pages.
[C7]
Yuan Jiang, Gang Niu. Rail Local Damage Detection Based on Recursive Frequency-Domain Envelope Tracking Filter and Rail Impact Index. 2022 Global Reliability and Prognostics and Health Management (PHM 2022), Yantai, China. 13 Oct. 2022, 7 Pages.
• IEEE PHM Best Paper Award (Top 5 out of 274)
[C8]
[C9]
Yuan Jiang, Hongyang Zhao, Gang Niu. Intelligent Rolling Bearing Fault Diagnosis Under Variable Speed Conditions Without Tachometers. 2021 Global Reliability and Prognostics and Health Management (PHM 2021), Nanjing, China. 15 Oct. 2021, 7 Pages.

Awards & Honors

Research Awards
Fellowships & Scholarships
Professional Recognition

Academic Service

Journal Reviewer
○Reliability Engineering & System Safety
○Mechanical Systems and Signal Processing
○Engineering Applications of Artificial Intelligence
○IEEE Transactions on Reliability
○IEEE Transactions on Instrumentation & Measurement
○ISA Transactions
○IEEE Sensors Journal
○Neurocomputing
○Journal of Process Control
○Computers & Structures
○Journal of Vibration and Control
Conference Reviewer
○ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC-CIE)
Professional Memberships
○Institute of Electrical and Electronics Engineers (IEEE)
○American Society of Mechanical Engineers (ASME)
○Institute of Industrial and Systems Engineers (IISE)
○Institute for Operations Research and the Management Sciences (INFORMS)