ASL LabStanford University
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Matt Tsao

mwtsao _at_ stanford _dot_ edu

Matt Tsao

Alumni · now at Lyft

Matt is a Ph.D student in the department of Electrical Engineering at Stanford University, also affiliated with the Stanford Autonomous Systems Laboratory. Prior to Stanford, he obtained a BS in Electrical Engineering with highest honors from the University of Illinois at Urbana Champaign with a focus in Learning Theory and Information Theory.

Matt’s current research involves developing robust algorithms for control of fleets of autonomous cars using ideas from statistics and learning theory.

In his free time, Matt enjoys listening to music, swimming, and solving puzzles.

Awards:

  • NSF Graduate Research Fellowship (2016)

Publications

19 publications · full lab bibliography

2024
  1. D. Jalota, M. Tsao, and M. Pavone, “Catch Me If You Can: Combatting Fraud in Artificial Currency Based Government Benefits Programs,” 2024. (Submitted)
2023
  1. D. Jalota, K. Solovey, M. Tsao, S. Zoepf, and M. Pavone, “Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment,” Autonomous Agents and Multi-Agent Systems, vol. 37, no. 32, pp. 1--40, 2023.
  2. M. Tsao, K. Gopalakrishnan, K. Yang, and M. Pavone, “Differentially Private Stochastic Convex Optimization for Network Routing Applications,” Proc. IEEE Conf. on Decision and Control, 2023.
  3. M. Tsao, K. Gopalakrishnan, K. Yang, and M. Pavone, “Privacy-Aware Control of Cyber Physical Systems,” Smarter Cyber Physical Systems: Enabling Methodologies and Application, 2023. (Submitted)
  4. M. Tsao, K. Gopalakrishnan, K. Yang, and M. Pavone, “Privacy-Aware Control of Cyber Physical Systems,” Smarter Cyber Physical Systems: Enabling Methodologies and Application, 2023. (Submitted)
2022
  1. M. Tsao, K. Yang, K. Gopalakrishnan, and M. Pavone, “Private Location Sharing for Decentralized Routing Services,” Proc. IEEE Int. Conf. on Intelligent Transportation Systems, 2022.
  2. M. Tsao, “Intelligent Transportation Systems and Future Mobility,” Ph.D. dissertation, Stanford University, Dept. of Aeronautics and Astronautics, 2022.
  3. D. Jalota, K. Solovey, M. Tsao, S. Zoepf, and M. Pavone, “Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment,” Proc. Int. Conf. on Autonomous Agents and Multiagent Systems, 2022.
  4. M. Pavone, A. Saberi, M. Schiffer, and M. Tsao, “Online Hypergraph Matching with Delays,” Operations Research, vol. 70, no. 4, pp. 2194-2212, 2022.
  5. M. Tsao, K. Yang, S. Zoepf, and M. Pavone, “Trust but Verify: Cryptographic Data Privacy for Mobility Management,” IEEE Transactions on Control of Network Systems, vol. 9, no. 1, pp. 50--61, 2022.
2021
  1. K. Yang, M. Tsao, X. Xu, and M. Pavone, “Real-Time Control of Mixed Fleets in Mobility-on-Demand Systems,” Proc. IEEE Int. Conf. on Intelligent Transportation Systems, 2021.
  2. R. A. Brown, F. Rossi, K. Solovey, M. Tsao, M. T. Wolf, and M. Pavone, “On Local Computation for Network-Structured Convex Optimization in Multi-Agent Systems,” IEEE Transactions on Control of Network Systems, vol. 8, no. 2, pp. 542-554, 2021.
2020
  1. M. Pavone, A. Saberi, M. Schiffer, and M. Tsao, “Online Hypergraph Matching with Delays,” The Conference on Web and Internet Economics (WINE), 2020.
  2. M. Tsao, K. Solovey, and M. Pavone, “Sample Complexity of Probabilistic Roadmaps via Epsilon-nets,” Proc. IEEE Conf. on Robotics and Automation, 2020.
2019
  1. M. Salazar, M. Tsao, I. Aguiar, M. Schiffer, and M. Pavone, “A Congestion-aware Routing Scheme for Autonomous Mobility-on-Demand Systems,” European Control Conference, 2019.
  2. J. Zgraggen, M. Tsao, M. Salazar, M. Schiffer, and M. Pavone, “A Model Predictive Control Scheme for Intermodal Autonomous Mobility-on-Demand,” Proc. IEEE Int. Conf. on Intelligent Transportation Systems, 2019.
  3. A. Sharma, J. Harrison, M. Tsao, and M. Pavone, “Robust and Adaptive Planning under Model Uncertainty,” Int. Conf. on Automated Planning and Scheduling, 2019.
  4. M. Tsao, D. Milojevic, C. Ruch, M. Salazar, E. Frazzoli, and M. Pavone, “Model Predictive Control of Ride-sharing Autonomous Mobility on Demand Systems,” Proc. IEEE Conf. on Robotics and Automation, 2019.
2018
  1. M. Tsao, R. Iglesias, and M. Pavone, “Stochastic Model Predictive Control for Autonomous Mobility on Demand,” Proc. IEEE Int. Conf. on Intelligent Transportation Systems, 2018.