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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 WSO2, Autochatic, PickMe, and Trancite24.

I am interested in advancing the understanding of learning for control in large-scale cyber-physical systems from the lens of cities as robots. My research includes making reinforcement learning suitable for real-world problems with applications including learning for social good and tackling climate change. Currently, I am leading the project AlphaDrive at MIT.

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Recent Updates
Articles in Review
  • Learning Corridor Clearance for Emergency Vehicles Under Mixed Autonomy
    Dajiang Suo*, Vindula Jayawardana*, Cathy Wu (* = equal contribution)

  • Path Clearance for Emergency Vehicles Under Mixed Autonomy: An Opportunity for Low Market Penetration CAVs
    Dajiang Suo, Vindula Jayawardana, Cathy Wu

  • 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
Publications
An Invisible Issue of Task Underspecification in Deep Reinforcement Learning
Vindula Jayawardana, Catherine Tang, Sirui Li, Dajiang Suo, Cathy Wu
Advances in Neural Information Processing Systems (NeurIPS), 2022, To appear
[Cite]

Learning Eco-Driving Strategies at Signalized Intersections
Vindula Jayawardana, Cathy Wu
European Control Conference (ECC), 2022
International Conference on Robotics and Automation (ICRA) 2022. Robotics for Climate Change workshop, 2022 (Spotlight Talk)
Press: On the road to cleaner, greener, and faster driving – MIT News

Home page feature.


Press: Perceptron: Risky teleoperation, Rocket League simulation and zoologist multiplication – Tech Crunch.
Podcast: The Loh Down on Science Podcast - NPR.
[Website] [Paper] [ICRA Presentation] [ICRA Poster] [ECC Video] [Cite]

The Braess Paradox in Dynamic Traffic
Dingyi Zhuang*, Yuzhu Huang*, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu
IEEE Intelligent Transportation Systems Conference (ITSC), 2022
[Paper] [Cite]

Mixed Autonomous Supervision in Traffic Signal Control
Vindula Jayawardana, Anna Landler, Cathy Wu
IEEE Intelligent Transportation Systems Conference (ITSC), 2021
[Paper] [Cite]

Fleet management for ride-pooling with meeting points at scale: a case study in the five boroughs of New York City
Motahare Mounesan, Vindula Jayawardana, Yaocheng Wu, Samitha Samaranayake, Huy T. Vo
To appear, 2021
[Paper] [Cite]

Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings
Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, Buddhi Ayesha
INTECH, 2017
[Paper] [Cite]

Semi-Supervised Instance Population of an Ontology using Word Vector Embeddings
Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, Buddhi Ayesha
ICTer, 2017
[Paper] [Cite]

Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity
Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal
ICIIS, 2017
[Paper] [Cite]

Word Vector Embeddings and Domain Specific Semantic Similarity based Semi-Supervised Ontology Instance Population
Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, Buddhi Ayesha
ICTer Journal, 2018
[Paper] [Cite]
Legal Document Retrieval Using Document Vector Embeddings and Deep Learning
Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal
SAI, 2018
[Paper] [Cite]
Machine Learning Based Domain Specific Information Retrieval Accuracy Measuring System for Legal Domain
Keet Sugathadasa, Vindula Jayawardana, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Dimuthu Lakmal
ICIIS, 2019
[Paper]


Teaching
  • 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.
Selected Awards
  • 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
Students Mentored
Open Source Systems
Contact
    Massachusetts Institute of Technology
    Laboratory for Information and Decision Systems
    77 Massachusetts Avenue, Room 32-D631
    Cambridge, MA 02139
    vindula [AT] mit [DOT] edu

Website Design
Last Updated on 09/16/2022