Email

xmcx731@tamu.edu or tianqili@tamu.edu

Education

• PhD in Mechanical Engineering, TAMU

  2018 - now

• M.S. in Mechanical Engineering, University of Washington

  2016 - 2018

• B.E. in Mechanical Engineering, Xi’an Jiaotong University

  2012 - 2016

Honors

• J. George H. Thompson Graduate Fellowship, Texas A&M University, 2023.

• Byron H. Anderson ‘54 Fellowship, Texas A&M University, 2022

• IEEE CSS Student Travel Support Program, IEEE CSS CCTA 2021

• Graduate Student Research and Presentation Travel Award, Texas A&M University, 2021 spring

• Summer Research Grant, Texas A&M University, 2019 summer

• Emil Buehler Aerodynamic Analog Fellowship, Texas A&M University

Publications

1. Li, Tianqi, and Swaminathan Gopalswamy. “A Spatial Searching Method for Planning Under Time-Dependent Constraints for Eco-Driving in Signalized Traffic Intersection.” IEEE Robotics and Automation Letters 6.2 (2021): 2525-2532.
2. Li, Tianqi, Lucas W. Krakow, and Swaminathan Gopalswamy. “Optimizing Consensus-based Multi-target Tracking with Multiagent Rollout Control Policies.” IEEE Conference on Control Technology and Applications (CCTA) 2021.
3. Li, Tianqi, Lucas W. Krakow, and Swaminathan Gopalswamy. “SMA-NBO: A Sequential Multi-Agent Planning with Nominal Belief-State Optimization in Target Tracking.” IEEE IROS 2022.
4. Li, Tianqi, Lucas W. Krakow, and Swaminathan Gopalswamy. “Emergent Cooperative Behavior in Distributed Target Tracking with Unknown Occlusions.” Submitted to IEEE IROS 2023.

Internship

• Meta Research, Machine learning engineering, 2022 May - Aug

  • Group: Probability, Mentor: Dr. Peter Tang, Peers: Dr. Thomas Dybdahl Ahle, Dr. Ousmane A. Dia

• Uber, PhD Research Software Intern, 2023 May - Aug

  • Group: MarketPlace Dynamics Team

Teaching

• MEEN 364 Dynamic System Feedback: This is an undergraduate core course of control knowledge. I TAed this course in 2019 spring in lab sessions, which contianed knowledge of MatLab/Simulink of linear system in mechanical, electric and hydraulic setups.
• MEEN 260 Mechanical Measurements: This is an unergraduate course about data collection from hardwares. I TAed this course in 2019 spring in lab sessions, which contained knowledge of data collection of physical systems by LabView.

Review

I served as reviewer in

• Journals: IEEE RAL, Frontiers in Robotics and AI, Journal of Robust and Nonlinear Control, Digital Signal Processing.
• Conference: IRCA