Homepage of Lin Song
Lin Song (宋林)
Hello, welcome to my homepage! I am a PhD candidate in Advanced Controls Research Lab (ACRL) from Department of Mechanical Science and Engineering (MechSE) at University of Illinois Urbana Champaign (UIUC). My advisor is Prof. Naira Hovakimyan. I am also working collaboratively with professors on research projects in the Center for Autonomous Vehicles in Air Transportation Engineering (AVIATE) at UIUC.
I received my Master's degree in Mechanical Engineering from Carnegie Mellon University (CMU) in 2019, under the supervision of Prof. Hartmut Geyer from Robotics Institute. Before that, I received my Bachelor's Degree in Automation from Harbin Institute of Technology in 2017.
Research Interests
Control theory and optimization
Dynamical systems and control, robotics
Formal verification
Publications
Lin Song, David Isele, Naira Hovakimyan, and Sangjae Bae, "Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization", accepted by 35th IEEE Intelligent Vehicles Symposium (IV) (IEEE IV 2024), 2024 [Paper]
Lin Song, Sheng Cheng, Sayan Mitra, and Naira Hovakimyan, "Verification of Design Specifications in L1 Adaptive Control", 2024 AIAA Science and Technology Forum and Exposition (SciTech Forum), 2024 [Paper]
Lin Song, Yangge Li, Sheng Cheng, Pan Zhao, Sayan Mitra, and Naira Hovakimyan, "Verification of L1 Adaptive Control using Verse Library: A Case Study of Quadrotors", 13th IEEE International Conference on Cyber Physical Systems (ICCPS), 2023 [Paper]
Lin Song, Pan Zhao, Neng Wan, and Naira Hovakimyan, "Safety Embedded Stochastic Optimal Control of Networked Multi-Agent Systems via Barrier States'', 2023 American Control Conference (ACC), 2023 [Paper]
Lin Song, Neng Wan, and Naira Hovakimyan, "Safe Optimal Control with Synthesized Waypoints as Guidance", 2023 AIAA Science and Technology Forum and Exposition (SciTech Forum), 2023 [Paper]
Sheng Cheng, Lin Song, Minkyung Kim, Shenlong Wang, and Naira Hovakimyan, ''DiffTune+: Hyper-parameter-Free Auto-Tuning using Auto-Differentiation'', the 5th Learning for Dynamics and Control (L4DC) Conference (Oral Presentation, top 10%), 2023 [Paper]
Neng Wan, Dapeng Li, Lin Song, and Naira Hovakimyan, ''Simplified Analysis on Filtering Sensitivity Trade-offs in Continuous-and Discrete-Time Systems'', IEEE Transactions on Automatic Control, 2023 [Paper]
Sheng Cheng, Minkyung Kim*, Lin Song*, Zhuohuan Wu, Shenlong Wang, and Naira Hovakimyan, ''DiffTune: Auto-Tuning through Auto-Differentiation'' (Under Review), 2022 [Paper][Video]
Lin Song, Neng Wan, Aditya Gahlawat, Chuyuan Tao, Naira Hovakimyan, and Evangelos A. Theodorou, ''Generalization of Safe Optimal Control Actions on Networked Multi-Agent Systems'', IEEE Transactions on Control of Network Systems, 2022 [Paper]
Lin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, and Evangelos A. Theodorou, ''Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems", 2021 American Control Conference (ACC), 2021 [Paper]
Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, and Evangelos A. Theodorou, ''Contraction-L1: Adaptive Control using Gaussian Processes", the 3rd Learning for Dynamics and Control (L4DC) Conference, 2021 [Paper]
Ozan Tonguz, Rusheng Zhang, Lin Song, and Adhishree Jaiprakash, ''System and Method Implementing Virtual Pedestrian Traffic Lights'', U.S. Patent Application 17/752,952, Sep 2022 [URL]
Rusheng Zhang, Lin Song, Adhishree Jaiprakash, Timothy Talty, Ammar Alanazi, Abdullah Alghafis, A Ahmed Biyabani, and Ozan Tonguz, "Using Ultra-Wideband Technology in Vehicles for Infrastructure-Free Localization", IEEE 5th World Forum on Internet of Things (WF-IoT), 2019 [Paper]
Workshop papers
Lin Song, Sheng Cheng, and Naira Hovakimyan, "Meta-Learning-Inspired Control Auto-Tuning with Verified Robustness," presented at IROS Workshop on Formal Methods and Techniques in Robotic Systems: Design and Control, 2023 [URL]
Sheng Cheng, Minkyung Kim, Lin Song, Zhuohuan Wu, Shenlong Wang, and Naira Hovakimyan, "An Auto-Tuning Framework for Controllers using Auto-Differentiation," presented at CoRL Workshop on Learning to Adapt and Improve in the Real World (RoboAdapt), 2022 [URL]
Work Experiences
Honda Research Institute, San Jose, California, USA
Research intern: May 2023 -- August 2023
Project: Decision-making algorithms for autonomous vehicles
Swarm Engineering (remote)
Data Scientist Intern: May 2021 -- August 2021
Project: Supply chain optimization and operational research
Teaching & Course-assisting Experiences
ME 340: Modeling and Analysis of Dynamical Systems, Spring 2021, UIUC
ME 460: Industrial Control Systems, Spring 2020, UIUC
24760: Robot Dynamics and Analysis, Fall 2018, CMU
18370: Fundamentals of Control, Fall 2017, CMU
Awards & Honors
Yee Memorial Fellowship in 2023 (5 awardees from UIUC College of Engineering per year)
Student Travel Award for ACC 2023
Outstanding graduate of Harbin Institute of Technology of 2017
Professional Services
Journal Reviewer
IEEE Transactions on Automatic Control (TAC)
IEEE Transactions on Control of Network Systems (TCNS)
IEEE Control Systems Letters (L-CSS)
Annual Reviews in Control
AIAA Journal of Guidance, Control, and Dynamics (JGCD)
Nonlinear Dynamics
Conference Reviewer
IV 2024, ICRA 2024, IROS 2023, CDC 2023, CVPR Agriculture-Vision Workshop 2023
Community Services
Program Committee (PC) member for the 15th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS): Poster/Demo Session, 2024
Session chair of "Enabling Technologies for AAM Autonomy" at AIAA SciTech, 2024
The Undergraduate Research Apprenticeship Program (URAP) mentor in UIUC, 2023
Graduate student judge for Undergraduate Research Symposium (URS) in UIUC, 2023, 2024
Student volunteer for the 58th Annual Allerton Conference on Communication, Control, and Computing, 2022
Contacts
Email: linsong2@illinois.edu