Vindula Jayawardana

Email: vindula [AT] mit [DOT] edu

I am a PhD student in computer science at MIT. I am fortunate to be advised by Prof. Cathy Wu in the Laboratory for Information and Decision Systems (LIDS). Earlier, I completed my bachelors at University of Moratuwa in Sri Lanka.

Before graduate school, I was a part of Mobility, Algorithms, and Society Lab at Cornell University and Data Science, Engineering & Analytics Research Hub of University of Moratuwa. I have also spent time at Toyota, WSO2, PickMe, and Trancite24.

I am interested in advancing the understanding of learning for control for large-scale cyber-physical systems and how such learning could enable advanced decision-making. In light of this, my research includes 1). making learning suitable for real-world problems by tackling the complexity, diversity, and scale of real world, and 2). leveraging learning to understand complex dynamical systems and their interplay with each other. I take sustainable cities as my domain focus with applications in learning for autonomous vehicles and tackling climate change. Currently, I am also leading the project Greenwave .

Project Highlights: : AI-driven Eco-driving for Tackling Climate Change

Google Scholar  |  CV  |  LinkedIn  |  Github  |  Blog

• My recent conversation with ADAS & Autonomous Vehicle International magazine on green roadways has been featured in the September issue.
• Our paper "Multi-behavior Learning for Socially Compatible Autonomous Driving" was accepted at ITSC 2023.
• I gave a talk at Toyota R&D in Mountain View.
• I am interning at Toyota in Mountain View this summer.
• Our paper "The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning" was accepted at NeurIPS 2022.
• Our paper "Learning Surrogates for Diverse Emission Models" was accepted at Climate Change AI at NeurIPS 2022.
• Our recent work has been featured in National Public Radio (NPR) in The Loh Down on Science Podcast.
• I am excited to receive 2022 Harold L. Hazen Teaching Award from EECS MIT.
• Our paper "The Braess Paradox in Dynamic Traffic" was accepted at ITSC 2022.
• Our recent work on eco-driving was featured as a spotlight on MIT front page.
• Our paper "Reinforcement Learning for Eco-Lagrangian Control at Intersections" was accepted at Robotics for Climate Change at ICRA 2022.
• I presented our work at the MIT CEE Annual Research Day.
• Our paper "Learning Eco-Driving Strategies at Signalized Intersections" was accepted at ECC 2022.
• I gave an invited talk at Univerity of Moratuwa.
• Our paper "Mixed Autonomous Supervision in Traffic Signal Control" was accepted at ITSC 2021.
• Our paper "Fleet management for ride-pooling with meeting points at scale: a case study in the five boroughs of New York City" is now on arXiv.
• I presented a poster at MIT-IBM Watson AI Lab Virtual Open House 2021.
More...

• Generalizing Eco-Lagrangian Control via Multi-residual Task Learning
  Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Farid, Kentaro Oguchi
  


• Model-free Learning of Multi-objective Corridor Clearance in Mixed Autonomy
  Vindula Jayawardana*, Dajiang Suo*, Cathy Wu (* = equal contribution)
  


• Mitigating The Braess’s Paradox in a Closed System Using Reinforcement Learning
  Yuzhu Huang*, Dingyi Zhuang*, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu
  


• What is a Typical Signalized Intersection in a City?
  Ao Qu*, Anirudh Valiveru*, Catherine Tang, Vindula Jayawardana, Baptiste Freydt, Cathy Wu
  

Advances in Neural Information Processing Systems (NeurIPS), 2022

European Control Conference (ECC), 2022

International Conference on Robotics and Automation (ICRA) 2022. Robotics for Climate Change workshop, 2022

(Spotlight Talk)

Home page feature.

IEEE Intelligent Transportation Systems Conference (ITSC), 2023, to appear

IEEE Intelligent Transportation Systems Conference (ITSC), 2022

IEEE Intelligent Transportation Systems Conference (ITSC), 2021

• 1.041/1.200/11.544: Transportation Systems Modeling: Teaching Assistant, MIT, Fall 2020/2021.


• CS4622: Machine Learning: Teaching Assistant, UoM, Spring 2019.


• CS2022: Data Structures and Algorithms: Instructor, UoM, Spring 2019.


• CS3042: Database Systems: Teaching Assistant, UoM, Fall 2018.


• CS2052: Computer Architecture: Teaching Assistant, UoM, Fall 2018.


• CS2062: Object Oriented Software Development: Teaching Assistant, UoM, Spring 2018.


• CS3962: Research and Report Writing : Teaching Assistant, UoM, Spring 2018.

• Harold L. Hazen Teaching Award 2022, EECS MIT


• Digital Mobility Solutions Lanka Fellowship 2018, University of Moratuwa


• Migara Ranathunga Trust Award 2018 : National Awards for University Undergraduates in Sri Lanka


• Gold Award at National Best Quality ICT Awards 2017 : Best ICT student technology project of the year


• Global Finalist in NASA International Space Apps 2017

• Sanjula Jayawardana (University of Westminster 2023)


• Baptiste Freydt (ETH Zurich - MS Student 2022)


• Catherine Tang (MIT-UROP 2022)


• Anirudh Valiveru (MIT-UROP 2022)


• Jiaxin He (Vanderbilt University 2022)


• Sunera Chandrasiri (University of Moratuwa 2022)


• Ammar Fayad (MIT-UROP 2021)


• Anna Landler (MIT-SuperUROP 2021)

• Open Ridepool Simulator


• Charon : SCIM 2.0 Open Source Implementation


• SCIM 2.0 Compliance Test Suite

Massachusetts Institute of Technology
Laboratory for Information and Decision Systems
77 Massachusetts Avenue, Room 32-D631
Cambridge, MA 02139
vindula [AT] mit [DOT] edu

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Last Updated on 07/13/2023