Curriculum Vitae

Education

• Ph.D. in Mechanical Engineering, University of Connecticut, 2026
• B.S. in Mechanical Engineering, summa cum laude, Iowa State University, 2021

Work experience

• July 2026 – Present: Senior Battery Engineer
  • AST SpaceMobile, Homestead, FL, USA
• June 2025 – August 2025: Engineering Development Intern
  • MathWorks, Natick, MA, USA
  • Duties included:
    • Developed customer-facing functions for battery data analysis and feature engineering, targeted for future release.
    • Analyzed use cases, pain points, design alternatives, and functional requirements for new API design.
    • Benchmarked functions to extract predictive features from battery electrochemical impedance data.
    • Prototyped Python-MATLAB workflows for anomaly detection algorithms, accelerating internal benchmarking.
• May 2024 – August 2024: Engineering Development Intern
  • MathWorks, Natick, MA, USA
  • Duties included:
    • Built a deep learning model to identify current pulses in battery data, improving accuracy over baselines.
    • Prototyped functions for feature extraction from Li-ion battery current pulses.
    • Authored an example on pulse feature extraction, integrated into MATLAB’s Predictive Maintenance Toolbox.
    • Benchmarked ensemble learning algorithms for battery state-of-health estimation.

Publications

• Human-Centered Leadership in an AI-Driven World: Practitioner Reflections on Engineering Leadership Education

  Emily Moore, Stacie Edington, Beverly Kris Jaeger-Helton, Kenneth W Lamb, James N Magarian, Cindy Rottmann, Amin Azad, Meagan R Kendall, Tingkai Li, Monica Pheifer, Kim Graves Wolfinbarger, Elika Shams, Michael P Manning, "Human-Centered Leadership in an AI-Driven World: Practitioner Reflections on Engineering Leadership Education." 2026 ASEE Annual Conference & Exposition, 2026.

• Enhancing Engineering Education through Student-Led Leadership Development

  Elika Shams, Tingkai Li, Maxwell Bartlett, Aayushi Verma, Alireza Miraliakbar, Kaitlyn G Mahoney, Yinyu Wang, Mohamadamin Rajabinezhad, Oluwaseun Moses Akinola, Aida Ghiaei, "Enhancing Engineering Education through Student-Led Leadership Development." 2026 ASEE Annual Conference & Exposition, 2026.

• Practical regeneration of Li-ion batteries for a second life: The role of degradation mechanisms

  Jayanth Ramamurthy, Adam Thelen, Mihir Ojha, Shervin Alaei, Ben Nowacki, Tingkai Li, Sina Navidi, Weimin Jiao, Todd A Kingston, Matthieu Dubarry, "Practical regeneration of Li-ion batteries for a second life: The role of degradation mechanisms." Journal of Power Sources, 2026.

• Benchmarking half-cell model fitting approaches for lithium-ion battery degradation diagnostics

  Tingkai Li, Yifan Zhang, Benjamin Nowacki, Sina Navidi, Thomas Schmitt, Shan Hu, Chao Hu, "Benchmarking half-cell model fitting approaches for lithium-ion battery degradation diagnostics." eTransportation, 2026.

• Conformalized multi-step forecasting for high-rate dynamic systems

  Yang Kang Chua, Tingkai Li, Sina Navidi, Arman Razmarashooli, Mohammad Mundiwala, Daniel A Salazar Martinez, Metrid Okumu, Chao Hu, Simon Laflamme, Paul T Schrader, "Conformalized multi-step forecasting for high-rate dynamic systems." Structural and Multidisciplinary Optimization, 2026.

• ISU-UConn LFP/Graphite Emulated Degradation Dataset

  Yifan Zhang, Tingkai Li, Shan Hu, Chao Hu, "ISU-UConn LFP/Graphite Emulated Degradation Dataset." REIL Datasets, 2026.

• Coupling a capacity fade model with machine learning for early prediction of the battery capacity trajectory

  Tingkai Li, Jinqiang Liu, Adam Thelen, Ankush Mishra, Xiao-Guang Yang, Zhaoyu Wang, Chao Hu, "Coupling a capacity fade model with machine learning for early prediction of the battery capacity trajectory." Applied Energy, 2025.

• UConn-MathWorks LFP/Gr Second-Life Battery Aging Dataset

  Tingkai Li, Aidan Lawlor, Adarsh Narasimhamurthy, Xiaomeng Peng, Chao Hu, "UConn-MathWorks LFP/Gr Second-Life Battery Aging Dataset." REIL Datasets, 2025.

• Predicting battery lifetime under varying usage conditions from early aging data

  Tingkai Li, Zihao Zhou, Adam Thelen, David Howey, Chao Hu, "Predicting battery lifetime under varying usage conditions from early aging data." Cell Reports Physical Science, 2024.

• Physics-informed machine learning for battery degradation diagnostics: A comparison of state-of-the-art methods

  Sina Navidi, Adam Thelen, Tingkai Li, Chao Hu, "Physics-informed machine learning for battery degradation diagnostics: A comparison of state-of-the-art methods." Energy Storage Materials, 2024.

• Degradation Diagnostics of Lithium-Ion Batteries Cycled Under Varying Conditions

  Tingkai Li, Adam Thelen, Naba Karan, Jinqiang Liu, Chad Tischer, Chao Hu, "Degradation Diagnostics of Lithium-Ion Batteries Cycled Under Varying Conditions." ECS Meeting Abstracts 243, 2023.

• A Comparative Study on Physics-Informed Machine Learning for Battery Degradation Diagnostics

  Sina Navidi, Adam Thelen, Tingkai Li, Chao Hu, "A Comparative Study on Physics-Informed Machine Learning for Battery Degradation Diagnostics." ECS Meeting Abstracts 243, 2023.

• Physics-Informed Neural Networks for Degradation Diagnostics of Lithium-Ion Batteries

  Sina Navidi, Adam Thelen, Tingkai Li, Chao Hu, "Physics-Informed Neural Networks for Degradation Diagnostics of Lithium-Ion Batteries." In the proceedings of Volume 3A: 49th Design Automation Conference (DAC), 2023.

• ISU-ILCC Battery Aging Dataset

  Adam Thelen, Tingkai Li, Jinqiang Liu, Chad Tischer, Chao Hu, "ISU-ILCC Battery Aging Dataset." Iowa State University Dataset, 2023.

Talks

• Introduction to Battery Data Analysis in Python

  Guest lecture at Iowa Lakes Community College, Online — April 09, 2024

• Degradation Diagnostics of Lithium-Ion Batteries Cycled Under Varying Conditions

  Conference talk at 243rd ECS Meeting, Boston, MA, USA — May 30, 2023

• Introduction to Battery Data Analysis in Python

  Guest lecture at Iowa Lakes Community College, Onlne — April 04, 2023

Service and leadership

• Reviewer (November 2022–Present)
  • Joule
  • Nature Communications
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Industrial Electronics
  • Journal of Energy Storage
  • Engineering Optimization
  • Sustainable Energy & Fuels
  • Journal of Mechanical Design
  • Future Batteries
• Social Media Director (June 2025–May 2026), John Lof Scholar (September 2024–May 2026):
  • John Lof Leadership Academy
  • Personal JLLA Profile
• Social Media Director (November 2024–August 2025)
  • Mechanical Engineering Graduate Student Association at UConn