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Mr. Buddhi Ayesha

Graduate Teaching Assistant at University of Moratuwa

M.Sc. (Research) (UoM), B.Sc. Eng. (Hons) (UoM)

buddhiayesha.13@cse.mrt.ac.lk

https://buddhiayesha2015.github.io/

Buddhi Ayesha serves as a Graduate Teaching Assistant in the Computer Science & Engineering department at the University of Moratuwa. He is also a Senior Research Engineer at the DataSEARCH (Data Science, Engineering & Analytics Research Center) of the University of Moratuwa. He earned his Bachelor's degree in Computer Science and Engineering from the University of Moratuwa in 2018. Following his BSc, Buddhi pursued a Master's degree, specializing in Data Science and Machine Learning, and completed it in 2020 within the Computer Science and Engineering department. His primary research interests include Data Science, Big Data, Machine Learning, and Image Processing.

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.