Experience
Work
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2025.08 - Present Research Scientist
Bosch Center for Artificial Intelligence, Pittsburgh, PA. - Research at the intersection of physical AI and embodied neuro-symbolic AI, integrating robot learning, representation learning, and reasoning to enhance the safety, reliability, and adaptability of real-world industrial and autonomous systems.
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2019.08 - 2025.08 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 Organized
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2026.09.27 First Workshop on Embodied Neuro-Symbolic AI for Reliable and Safe Robotics (ReS AI) Lead Organizer
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026), Pittsburgh, PA. -
2026.01.20 From Inception to Productization: Hands-on Lab for the Lifecycle of Multimodal Agentic AI in Industry 4.0
The 40th AAAI Conference on Artificial Intelligence (AAAI 2026), Singapore. -
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. -
2024.12.17 Knowledge-driven Processes for Big Data Management and Applications
IEEE International Conference on Big Data (IEEE BigData 2024), Washington, DC. -
2022.10.24 Knowledge-infused Learning for Autonomous Driving (KL4AD) Lead Organizer
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.
Services
| Program Committee Member | ||||||||||
| AAAI 2027 | ||||||||||
| AAAI 2026 | ||||||||||
| NeSy 2026 | ||||||||||
| CausalNeSy 2026 | ||||||||||
| IJCAI 2025 | ||||||||||
| ISWC 2021 | ||||||||||
| K-iL 2021 | ||||||||||
| KiML 2020 | ||||||||||
| The Web Conference (WWW) 2018 | ||||||||||
| Reviewer | ||||||||||
| CoRL 2026 | ||||||||||
| IROS 2026 | ||||||||||
| IEEE Transactions on Neural Networks and Learning Systems | ||||||||||
| CIKM 2020 | ||||||||||
| The Web Conference 2020 | ||||||||||
| ICWSM 2018 | ||||||||||
| IEEE Internet Computing | ||||||||||
| AAAI 2023 | ||||||||||
| ACL 2020 | ||||||||||
| Student Volunteer | |||||
| COLING 2025 | Abu Dhabi, UAE | ||||
| ISWC 2024 | Baltimore, USA | ||||
| ACL 2023 | Toronto, Canada | ||||
| AAAI 2020 | New York, USA | ||||
Grant Writing
- • NSF Grant No. 2119654: RII Track 2 FEC Enabling Factory to Factory (F2F) Networking for Future Manufacturing — Awarded ($3.8M+); Role: Lead Student Contributor. Helped shape the proposal and identify a novel Industry 4.0 use case.
- • NSF HDR Institute — Data and Knowledge Enabled Modeling and Learning for Generative Design of Advanced Materials and Molecules — Not awarded, ranked ‘competitive’; Role: Lead Student Contributor. Contributed to coordination, literature review, conceptualization, and proposal writing.