Experience
Work
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2019.08 - Present Graduate Research Assistant
AI Institute, University of South Carolina, Columbia, SC. - Leading the efforts in introducing a Neurosymbolic AI approach to scene understanding to improve machine perception and context understanding in autonomous systems (e.g., Autonomous Driving, Smart Manufacturing).
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2019.05 - 2022.08 Research Intern - Neurosymbolic AI
Bosch Center for AI, Pittsburgh, PA. - Summer internships in 2019, 2020, and 2022.
- Built large-scale knowledge graphs to represent real-world multimodal scene data and developed novel methods to leverage them for improved scene understanding in autonomous driving.
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2017.08 - 2019.05 Graduate Research Assistant
Kno.e.sis Center, Wright State University, Dayton, OH. - Developed methods to leverage background knowledge for extreme multi-label classification (XML) for predicting ICD-9 codes in Electronic Medical Records.
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2014.02 - 2017.07 Senior Software Engineer (Machine Learning)
London Stock Exchange Group (LSEG), Sri Lanka - Responsible for developing novel machine learning algorithms and using existing ones to improve and/or introduce novel solutions to the product stack of LSEG.
Teaching
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2020.08 - 2021.05 Graduate Teaching Assistant
University of South Carolina, Columbia, SC. - Conducted labs for CSCE 145/146 Algorithms Design and CSCE 311 Operating Systems.
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2018.08 - 2019.05 Graduate Teaching Assistant
Wright State University, Dayton, OH. - Conducted labs for CEG2350 - Operating System Concepts and Usage.
Tutorials/Workshops
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2025.02.25 Developing Explainable Multimodal AI Models with Hands-On Lab on the Life-Cycle of Rare Event Prediction in Manufacturing
The 39th AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, PA. (Upcoming) -
2024.12.15 Knowledge-driven Processes for Big Data Management and Applications
IEEE International Conference on Big Data (IEEE BigData 2024), Washington, DC. (Upcoming) -
2022.10.24 Knowledge-infused Learning for Autonomous Driving (KL4AD)
The 21st International Semantic Web Conference (ISWC), Virtual/ Hangzhou, China. -
2020.07.15 Knowledge-infused Deep Learning
The 31st ACM Conference on Hypertext and Social Media (HT’20), Virtual. -
2020.03.09 Hybrid AI for Context Understanding
The 3rd U.S. Semantic Technologies Symposium (US2TS), Raleigh, NC.
Volunteer Services
- Student Volunteer
- The 34th AAAI Conference on Artificial Intelligence (AAAI-2020), New York, USA
- The 61st Annual Meeting of the Association for Computational Linguistics (ACL-2023), Toronto, Canada
- Reviewer
- TNNLS, CIKM 2020, The Web Conference 2020, ICWSM-18, IEEE Internet Computing, AAAI-2023, ACL 2020
- Program Committee Member
- ISWC 2021, K-iL 2021, KiML2020, The Web Conference (formally WWW) 2018
Grant Writing
- NSF Grant No. 2119654 RII Track 2 FEC Enabling Factory to Factory (F2F) Networking for Future Manufacturing -- Status - Awarded ($3.8M+) - | Role - Lead Student Contributor - identified a novel use-case of my research in Industry 4.0 domain, and contributed to the conceptualization and writing of the proposal
- NSF HDR Institute -- Data and Knowledge enabled Modeling and Learning for Generative Design of Advanced Material and Molecules -- | Status - Not awarded, ranked “competitive” | Role - Lead Student Contributor – Contributed to the coordination, literature review, conceptualization and writing of the proposal