Vindula Jayawardana

Email : vindula [AT] mit [DOT] edu

I am a third year PhD student in EECS 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.

My research interests lie in the intersection of machine learning, intelligent transportation systems, and optimizations. I am particularly interested in studying gradual and complex integration of automation and AI into existing systems specifically in the mobility sphere.

Google Scholar | CV | LinkedIn | Github | Blog

Recent News

Our paper "Mixed Autonomous Supervision in Traffic Signal Control" was accepted at ITSC 2021
Our recent 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 will be presenting a poster at the MIT-IBM Watson AI Lab Virtual Open House 2021.

Articles in Review

Reinforcement Learning for Eco-Lagrangian Control at Intersections
Vindula Jayawardana, Cathy Wu

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

Publications

	Mixed Autonomous Supervision in Traffic Signal Control Vindula Jayawardana, Anna Landler, Cathy Wu ITSC, 2021 [Paper] [Cite] × @INPROCEEDINGS{9565053, author={Jayawardana, Vindula and Landler, Anna and Wu, Cathy}, booktitle={2021 IEEE International Intelligent Transportation Systems Conference (ITSC)}, title={Mixed Autonomous Supervision in Traffic Signal Control}, year={2021}, volume={}, number={}, pages={1767-1773}, doi={10.1109/ITSC48978.2021.9565053}}
	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] × @misc{mounesan2021fleet, title={Fleet management for ride-pooling with meeting points at scale: a case study in the five boroughs of New York City}, author={Motahare Mounesan and Vindula Jayawardana and Yaocheng Wu and Samitha Samaranayake and Huy T. Vo}, year={2021}, eprint={2105.00994}, archivePrefix={arXiv}, primaryClass={eess.SY} }
	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] × @article{Jayawardana2017DerivingAR, title={Deriving a representative vector for ontology classes with instance word vector embeddings}, author={Vindula Jayawardana and D. Lakmal and Nisansa de Silva and A. Perera and Keet Sugathadasa and Buddhi Ayesha}, journal={2017 Seventh International Conference on Innovative Computing Technology (INTECH)}, year={2017}, pages={79-84} }
	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] × @INPROCEEDINGS{8257822, author={Jayawardana, Vindula and Lakmal, Dimuthu and de Silva, Nisansa and Perera, Amal Shehan and Sugathadasa, Keet and Ayesha, Buddhi and Perera, Madhavi}, booktitle={2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer)}, title={Semi-supervised instance population of an ontology using word vector embedding}, year={2017}, volume={}, number={}, pages={1-7}, doi={10.1109/ICTER.2017.8257822}}
	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] × @INPROCEEDINGS{8300343, author={Sugathadasa, Keet and Ayesha, Buddhi and de Silva, Nisansa and Perera, Amal Shehan and Jayawardana, Vindula and Lakmal, Dimuthu and Perera, Madhavi}, booktitle={2017 IEEE International Conference on Industrial and Information Systems (ICIIS)}, title={Synergistic union of Word2Vec and lexicon for domain specific semantic similarity}, year={2017}, volume={}, number={}, pages={1-6}, doi={10.1109/ICIINFS.2017.8300343}}
	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] × @article{Jayawardana2018WordVE, title={Word Vector Embeddings and Domain Specific Semantic based Semi-Supervised Ontology Instance Population}, author={Vindula Jayawardana and D. Lakmal and Nisansa de Silva and A. Perera and Keet Sugathadasa and Buddhi Ayesha and Madhavi Perera}, journal={International Journal on Advances in Ict for Emerging Regions (icter)}, year={2018}, volume={11}, pages={1} }
	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] × @InProceedings{Sugathadasa2019Legal, author="Sugathadasa, Keet and Ayesha, Buddhi and de Silva, Nisansa and Perera, Amal Shehan and Jayawardana, Vindula and Lakmal, Dimuthu and Perera, Madhavi", editor="Arai, Kohei and Kapoor, Supriya and Bhatia, Rahul", title="Legal Document Retrieval Using Document Vector Embeddings and Deep Learning", booktitle="Intelligent Computing", year="2019", publisher="Springer International Publishing", address="Cham", pages="160--175", isbn="978-3-030-01177-2" }
	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]