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Vindula Jayawardana

Email : vindula [AT] mit [DOT] edu

I am a second 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.

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Recent News
Publications
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
  • 1.200: Transport Systems Analysis : Teaching Assistant, MIT, Fall 2020.

  • 1.041: Transportation Systems Modeling : Teaching Assistant, MIT, Fall 2019.

  • 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
  • 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 28/05/2021