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Vindula Jayawardana

Email : vindula [AT] mit [DOT] edu

I am a first year PhD student in Computer Science at Massachusetts Institute of Technology (MIT) in the Department of Electrical Engineering and Computer Science. I am 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
  • November 2018 : Talk on Ride Sharing in Mobility on Demand Systems : Opportunities, Challenges and Future at Trace Expert City, Colombo, Sri Lanka
  • October 2018 : Graduated with First Class Honors BSc Eng. (Hons) Specialized in Computer Science and Engineering, Faculty of Engineering, University of Moratuwa.
  • July 2018 : 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

A methodology to derive a representative vector for ontology classes whose instances were converted to the vector space.

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

A semi-supervised ontology population through word embeddings as the basis.

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

A domain specific semantic similarity measure that was created by the synergistic union of word2vec.

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

A semi-supervised ontology population through word embeddings and domain specific semantic similarity as the basis.

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

Domain specific information retrieval for legal domain.

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

Study the generation of training sets and test sets via a trained neural network model, building a validation model, and building an accuracy measuring system for legal information retrieval.

Articles - White Papers
System For Cross Domain Identity Management (SCIM)
Vindula Jayawardana,
WSO2 Digital Library , 2017

Analysis on SCIM, an open standard for making identity provisioning in cloud-based applications and services easier, cheaper, and faster.

Towards Seamless Urban Mobility - Integrating Ride Sharing and Public Transit
Vindula Jayawardana,
DataSEARCH Blog , 2019

An analysis on ride sharing and public transit integration

Academic Talks
Ride sharing in mobility on demand systems: Opportunities, challenges and future
Vindula Jayawardana,
DataDrives - Data science applications in technology based industries, Trace Expert City, Colombo , 2018

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

  • CS2963: Presentation Skills
  • Teaching Assistant, UoM, Fall 2017.

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

  • CS4052: Professional Practice
  • Teaching Assistant, UoM, Fall 2018.
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

  • Silver Medalist in Junior Science Olympiad Competition, Sri Lanka 2009
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

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Last Updated on 10/10/2019