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Dr. Vindula Jayawardana

Research Scientist at Toyota Research Institute

PhD (MIT), MS (MIT), BSc Eng. (Hons) (Moratuwa)

https://vindulamj.github.io/

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 Toyota, WSO2, PickMe, and Trancite24.
I am interested in advancing the understanding of learning for control for large-scale cyber-physical systems and how such learning could enable advanced decision-making. In light of this, my research includes 1). making learning suitable for real-world problems by tackling the complexity, diversity, and scale of real world, and 2). leveraging learning to understand complex dynamical systems and their interplay with each other. I take sustainable cities as my domain focus with applications in learning for autonomous vehicles and tackling climate change. Currently, I am also leading the project Greenwave .

Publications

Theses: BSc

Vindula Jayawardana, Keet Sugathadasa, Dimuthu Lakmal, and Buddhi Rathnayake, "Ontology-Based Legal Information Extraction", University of Moratuwa, 2018

Journal Papers

Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, Buddhi Ayesha, and Madhavi Perera, "Word Vector Embeddings and Domain Specific Semantic based Semi-Supervised Ontology Instance Population", International Journal on Advances in ICT for Emerging Regions, vol. 10, no. 1, pp. 1, 2017. doi: 10.4038/icter.v11i1.7191

Conference Papers

Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, and Madhavi Perera, "Legal Document Retrieval using Document Vector Embeddings and Deep Learning", in Science and information conference, 2018, pp. 160--175. doi: 10.1007/978-3-030-01177-2_12
Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, and Madhavi Perera, "Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity", in 2017 IEEE International Conference on Industrial and Information Systems (ICIIS), 2017, pp. 1--6. doi: 10.1109/ICIINFS.2017.8300343
Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, Buddhi Ayesha, and Madhavi Perera, "Semi-Supervised Instance Population of an Ontology using Word Vector Embedding", in 2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer), 2017, pp. 1--7. doi: 10.1109/icter.2017.8257822
Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, and Buddhi Ayesha, "Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings", in 2017 Seventh International Conference on Innovative Computing Technology (INTECH), 2017, pp. 79--84. doi: 10.1109/intech.2017.8102426

Projects

SigmaLaw

PI: Nisansa de Silva

This project delves into the synergy between Natural Language Processing (NLP) and the legal domain, presenting novel solutions to enduring challenges.