ACADEMIC SERVICE
Academic Service
Journal editorships, event organization, program committees, peer review, and invited presentations.
Journal Editorships
- IEEE Internet Computing — Guest Editor, Civilizing and Humanizing AI. Special issue
- Information (MDPI) — Guest Editor, Methods for Integrating Information in Data, Language Models, and Knowledge Graphs for Neurosymbolic Learning and Reasoning. Special issue
Event Organization
- KiL 2023 @ ACM KDD — Organizing Committee. Workshop
- ISWC 2024 — Tutorial organizer, Neurosymbolic Customized and Compact CoPilots. Tutorial
- The Web Conference 2023 — Tutorial organizer, Causal AI for Web and Health Care. Tutorial
- AI-ML Systems 2022 — Tutorial organizer, Neuro-symbolic AI for Mental Healthcare. Tutorial
Program Committees
- CNLP4QoL @ IEEE ICHI 2026 — Program Committee, First Workshop on Clinical Natural Language Processing for Quality of Life. Workshop committee
- TRUSTMORE @ IEEE BigData 2026 — Program Committee, First International Workshop on Trustworthy Multimodal Agents. Workshop committee
- CLPsych 2025 — Tenth Workshop on Computational Linguistics and Clinical Psychology. Proceedings: program committee
- KiL @ ACM KDD 2024 — Knowledge-infused Learning Workshop, NeuroSymbolic AI track. Committee
- KiML @ ACM KDD 2020 — Knowledge-infused Mining and Learning Workshop. Published proceedings, program committee
Invited Talks & Tutorials
- 2024 · Ontolog Summit — Healthcare Assistance Challenges-Driven Neurosymbolic AI, April 24, 2024. Official program · Presentation record
- 2024 · University of Florida, Intelligent Clinical Care Center — Knowledge-infused Neurosymbolic Artificial Intelligence for Mental Healthcare. Presentation listing
- 2024 · International Semantic Web Conference (ISWC) — Neurosymbolic Customized and Compact CoPilots, tutorial co-presenter. Conference program
- 2020 · PyData Berlin — Knowledge-infused Statistical Learning for Social Good, with Manas Gaur. University repository record
Seminar Talks
- AI in Healthcare — Guest lecture in the University of South Carolina AI Institute seminar class led by Prof. Amit Sheth. Published January 7, 2025. An overview of artificial intelligence applications in healthcare. Recording · AI Institute course listings
- Interpretable Machine Learning and Hoeffding’s Inequality — Guest lecture, CMSC 478 (Introduction to Machine Learning), University of Maryland, Baltimore County, 2022. Interpretable machine learning and statistical learning bounds. Recording
- Task-dependent Meta-cognition for General Classes of Problems — Guest lecture in the University of South Carolina AI Institute seminar class led by Prof. Amit Sheth, October 9, 2026. Task-dependent metacognition and reasoning across general classes of problems. Recording · AI Institute course listings
Peer Review
- Neurosymbolic Artificial Intelligence — Journal reviewer, 2024–2026. Public review record · 2026 review
- COLING 2025 — System Demonstrations — Reviewer. Published reviewer roster