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Vindula Jayawardana

Email : vindula [AT] mit [DOT] edu

I am a first 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
  • September 2019 : I joined MIT as a PhD student in EECS
  • January 2019 : I am honored to receive Migara Rathnatunga Trust Award Certificate for Industrial Training for University Undergraduates–2017/2018
Publications
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

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

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

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
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
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


Teaching
  • 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.

  • CS2963: Presentation Skills : Teaching Assistant, UoM, Fall 2017.
Selected Awards
  • Digital Mobility Solutions Lanka Scholarship 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
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 10/10/2019