Publications

Books

• Oshani Seneviratne and Jim Hendler. Linking the World’s Information: Essays on Tim Berners-Lee’s Invention of the World Wide Web. (2023) PDF

Book Chapters

• Kang, Inwon and Woensel, William Van and Seneviratne, Oshani. Using Large Language Models for Generating Smart Contracts for Health Insurance from Textual Policies. In AI for Health Equity and Fairness: Leveraging AI to Address Social Determinants of Health. (2024) PDF | DOI

• Gjorgjina Cenikj, Mauro Dragoni, Tome Eftimov, et al.. Neurosymbolic Methods for Food Computing. In Frontiers in Artificial Intelligence and Applications: The Handbook on Neurosymbolic AI and Knowledge Graphs. (2024) PDF | DOI

• Yeung, Ching-man Au, Liccardi, Ilaria, Lu, Kanghao, et al.. Decentralization: The Future of Online Social Networking. In Linking the World’s Information: Essays on Tim Berners-Lee’s Invention of the World Wide Web. (2023) PDF

• Oshani Seneviratne, Amy van der Hiel, and Lalana Kagal. Tim Berners-Lee’s Research at the Decentralized Information Group at MIT. In Linking the World’s Information: Essays on Tim Berners-Lee’s Invention of the World Wide Web. (2023) PDF

• Oshani Seneviratne and Manan Shukla. Personal health knowledge graph construction using Internet of Medical Things. In Personal Knowledge Graphs (PKGs): Methodology, tools and applications. (2023) PDF | DOI

• Seneviratne, Oshani. Health Data Management for Internet of Medical Things. In Women Securing the Future with TIPPSS for Connected Healthcare: Trust, Identity, Privacy, Protection, Safety, Security. (2022) PDF | DOI

• Chen, Ching-Hua and Gruen, Daniel and Harris, Jonathan and Hendler, James and McGuinness, Deborah L. and Monti, Marco and Rastogi, Nidhi and Seneviratne, Oshani and Zaki, Mohammed J.. Semantic Technologies for Clinically Relevant Personal Health Applications. In Personal Health Informatics: Patient Participation in Precision Health. (2022) PDF | DOI

Journal Articles

• Inwon Kang, Parikshit Ram, Yi Zhou, et al.. On Learning Representations for Tabular Data Distillation. In Transactions on Machine Learning Research. (2025)

• William Van Woensel and Oshani Seneviratne. Semantic Interoperability on Blockchain by Generating Smart Contracts Based on Knowledge Graphs. In Blockchain: Research and Applications. (2025)

• Shruthi Chari, Oshani Seneviratne, Mohamed Ghalwash, et al.. Explanation Ontology: A general-purpose, semantic representation for supporting user-centered explanations. In Semantic Web. (2024) PDF | DOI

• Oshani Seneviratne, Kacy Adams, and Deborah L. McGuinness. Accountable Bench-to-Bedside Data-Sharing Mechanism for Researchers. In ACM Transactions on Social Computing. (2023) PDF

• Oshani Seneviratne, Amar K. Das, Shruthi Chari, et al.. Semantically Enabling Clinical Decision Support Recommendations. In Journal of Biomedical Semantics. (2023) PDF

• Luis-Daniel Ibáñez, John Domingue, Sabrina Kirrane, et al.. Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination. In Transactions on Graph Data and Knowledge (TGDK). (2023) PDF | DOI

• Aaron M. Green, Michael P. Giannattasio, John S. Erickson, et al.. DeFi Survival Analysis: Insights Into the Emerging Decentralized Financial Ecosystem. In ACM Distributed Ledger Technologies (DLT) Research and Practice. (2023) PDF

• Shruthi Chari, Prasant Acharya, Daniel M. Gruen, et al.. Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes. In Artificial Intelligence in Medicine. (2023) PDF | DOI

Conference Papers

• Gautam Kishore Shahi, Oshani Seneviratne, and Marc Spaniol. SemCAFE: When Named Entities Make the Difference–Assessing Web Source Reliability through Entity-level Analytics. In Proceedings of the 17th ACM Web Science Conference. (2025)

• Maruf Ahmed Mridul, Ian Sloyan, Aparna Gupta, and Oshani Seneviratne. AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts. (2025)

• Fernando Spadea and Oshani Seneviratne. Aligning Language Models with Investor and Market Behavior for Financial Recommendations. (2025)

• Maruf Ahmed Mridul and Oshani Seneviratne. Curriculum-Guided Reinforcement Learning for Synthesizing Gas-Efficient Financial Derivatives Contracts. (2025)

• Pengfei Zhang, Mohbat Fnu and Yutong Song, Oshani Seneviratne, et al.. Adaptive Constraint Relaxation in Personalized Nutrition Recommendations: An LLM-Driven Knowledge Graph Retrieval Approach. In AMIA Annual Symposium Proceedings. (2025)

• Kang, Inwon, Mridul, Maruf Ahmed, Sanders, Abraham, et al.. Deciphering Crypto Twitter. In Proceedings of the 16th ACM Web Science Conference. (2024) PDF | DOI

• David Fong, Tianshu Chu, Matthew Heflin, et al.. Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing COVID-19 Mental Health Impact. In 2024 8th International Conference on Medical and Health Informatics (ICMHI 2024). (2024)

• Fernando Spadea and Oshani Seneviratne. Support and Scandals in GameFi DApps: A Network Analysis of The Sandbox Transactions. In 2024 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS). (2024) DOI

• Linh Tran, Sanjay Chari, Md. Saikat Islam Khan, et al.. A Differentially Private Blockchain-Based Approach for Vertical Federated Learning. In 2024 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS). (2024) DOI

• Oshani Seneviratne. The Feasibility of a Smart Contract ``Kill Switch’’. In The Sixth International Conference on Blockchain Computing and Applications (BCCA 2024). (2024) PDF

• Maruf Ahmed Mridul, Kaiyang Chang, Aparna Gupta, and Oshani Seneviratne. Smart Contracts, Smarter Payments: Innovating Cross Border Payments and Reporting Transactions. In IEEE Computational Intelligence in Finance and Economic Conference (CIFEr). (2024) DOI

• Mohamed Lashuel, Gulrukh Kurdistan, Aaron Green, et al.. LLM-Based Code Generation for Querying Temporal Tabular Financial Data. In IEEE Computational Intelligence in Finance and Economic Conference (CIFEr). (2024) DOI

• Md Saikat Islam Khan Bappy, Aparna Gupta, Oshani Seneviratne, and Stacy Patterson. Fed-RD: Privacy-Preserving Federated Learning for Financial Crime Detection. In 2024 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr). (2024) DOI

• Kader, Noah and Kang, Inwon and Seneviratne, Oshani. Enhancing Web Spam Detection Through a Blockchain-Enabled Crowdsourcing Mechanism. In Web Information Systems Engineering – WISE 2024. (2024) PDF

• Green, Aaron and Cammilleri, Christopher and Erickson, John S. and Seneviratne, Oshani and Bennett, Kristin P.. DeFi Survival Analysis: Insights into Risks and User Behaviors. In Mathematical Research for Blockchain Economy. (2023)

• Green, Aaron and Giannattasio, Michael and Wang, Keran and Erickson, John S. and Seneviratne, Oshani and Bennett, Kristin P.. Characterizing Common Quarterly Behaviors in DeFi Lending Protocols. In Mathematical Research for Blockchain Economy. (2023)

• Matthew Pisano, Connor Patterson, and Oshani Seneviratne. PredictChain: Empowering Collaboration and Data Accessibility for AI in a Decentralized Blockchain-based Marketplace. In ChainScience 2023. (2023) PDF

• Sabbir Rashid, Jamie McCusker, Daniel Gruen, et al.. A Concise Ontology to Support Research on Complex, Multimodal Clinical Reasoning. In The Semantic Web: 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28–June 1, 2023, Proceedings. (2023) PDF | DOI

• Kacy Adams and Deborah McGuinness and Oshani Seneviratne. Semantics-based Framework for Incentivized Research Data Sharing. (2023) PDF | DOI

• Sanjaya Mallikarachchi, Bonnie Ho, Oshani Seneviratne, et al.. Decentralized Data Collection via Swarm Contracts: Study on Crowd-Sourced Google Maps. In 2023 9th International Conference on Control, Automation and Robotics (ICCAR). (2023) DOI

• Sanjaya Mallikarachchi, Bonnie Ho, Iyad Kanj, et al.. Decentralized Framework for Collection and Secure Storage of Google Street View Data: Case Study. In IEEE IAS Global Conference on Emerging Technologies (GlobConET). (2023) DOI

• Shukla, Manan and Seneviratne, Oshani. MentalHealthAI: Utilizing Personal Health Device Data to Optimize Psychiatry Treatment. In AMIA Annual Symposium Proceedings. (2023) PDF

• Mallikarachchi, Sanjaya, Dai, Can, Seneviratne, Oshani, and Godage, Isuru. Managing Collaborative Tasks within Heterogeneous Robotic Swarms using Swarm Contracts. In 2022 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS). (2022) DOI

• Gridley, Jared and Seneviratne, Oshani. Significant Digits: Using Large-Scale Blockchain Data to Predict Fraudulent Addresses. In 2022 IEEE International Conference on Big Data (Big Data). (2022) DOI

• William Van Woensel and Floriano Scioscia and Giuseppe Loseto and Oshani Seneviratne and Evan W. Patton and Samina Abidi and Lalana Kagal. Explainable Clinical Decision Support: Towards Patient-Facing Explanations for Education and Long-Term Behavior Change. In Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14-17, 2022, Proceedings. (2022) PDF | DOI

• Manan Shukla and Jianjing Lin and Oshani Seneviratne. Collaboratively Learning Optimal Patient Outcomes Using Smart Contracts in Limited Data Settings. In IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2022, Arlington, VA, USA, November 17-19, 2022. (2022) PDF

• Oshani Seneviratne and Deborah L. McGuinness. Incentivized Research Data Sharing, Reusing and Repurposing with Blockchain Technologies. In 55th Hawaii International Conference on System Sciences, HICSS 2022, Virtual Event / Maui, Hawaii, USA, January 4-7, 2022. (2022) PDF

• Yufei Wu and Thilanka Munasinghe and Lydia Manikonda and Oshani Seneviratne. Data-driven Analysis of Remote Work in China during the COVID-19 Pandemic. In 55th Hawaii International Conference on System Sciences, HICSS 2022, Virtual Event / Maui, Hawaii, USA, January 4-7, 2022. (2022) PDF

Workshop Papers

• Seneviratne, Oshani, Capuzzo, Brendan, and Van Woensel, William. Explainability-Driven Quality Assessment for Rule-Based Systems. In Companion Proceedings of the ACM on Web Conference 2025. (2025) PDF | DOI

• Wu, Bijun and Seneviratne, Oshani. Blockchain-based Framework for Scalable and Incentivized Federated Learning. In Companion Proceedings of the ACM on Web Conference 2025. (2025) PDF | DOI

• Spadea, Fernando and Seneviratne, Oshani. Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization. In Companion Proceedings of the ACM on Web Conference 2025. (2025) PDF | DOI

• Maruf Ahmed Mridul, Inwon Kang, and Oshani Seneviratne. Terminators: Terms of Service Parsing and Auditing Agents. In Companion Proceedings of the ACM on Web Science Conference 2025. (2025) PDF | DOI

• Fernado Spadea and Oshani Seneviratne. Bursting the Filter Bubble with Knowledge Graph Inversion. In Companion Proceedings of the ACM on Web Science Conference 2025. (2025) PDF | DOI

• Fernado Spadea and Oshani Seneviratne. Parallel and Multi-Stage Knowledge Graph Retrieval for Behaviorally Aligned Financial Asset Recommendations. In RAGE-KG 2025: The Second International Workshop on Retrieval-Augmented Generation Enabled by Knowledge Graphs, co-located with ISWC 2025, November 2–6, 2025, Nara, Japan. (2025)

• Nipun D. Pathirage, Oshani Seneviratne, and Deborah L. McGuinness. ARGOS: Ontology Design Patterns for Governing Dynamic Data Operations in LLM-Powered Applications. In Workshop on Ontology Pattern (WOP 2025), ISWC 2025, November 2–6, 2025, Nara, Japan. (2025)

• Asara Senaratne, Oshani Seneviratne, Hon Zent Lim, and Leelanga Seneviratne. COPE: Chronic Observation and Progression Events Ontology. In Sci-K Workshop, ISWC 2025, November 2–6, 2025, Nara, Japan. (2025)

• Lorenzo Carta, Fernando Spadea, and Oshani Seneviratne. Explainable Federated Learning for U.S. State-Level Financial Distress Modeling. In XAI-FIN-2025: International Joint Workshop on Explainable AI in Finance, ICAIF 2025, November 15–18, 2025, Singapore. (2025)

• Mridul, Maruf Ahmed and Seneviratne, Oshani. Resource-Efficient LLM Application for Structured Transformation of Unstructured Financial Contracts. In The 2nd Workshop on LLMs and Generative AI for Finance, ICAIF 2025, November 15–18, 2025, Singapore. (2025)

• Van Woensel, William and Scioscia, Floriano and Loseto, Giuseppe and Seneviratne, Oshani and Patton, Evan and Abidi, Samina. Explanations of Symbolic Reasoning to Effect Patient Persuasion and Education. In Explainable Artificial Intelligence and Process Mining Applications for Healthcare. (2024)

• Inwon Kang, William Van Woensel, and Oshani Seneviratne. Using Large Language Models for Generating Smart Contracts for Health Insurance from Textual Policies. In The 8th International Workshop on Health Intelligence at AAAI’24, February 26-27 2024, Vancouver, Canada. (2024)

• Henrique Santos, Jamie McCusker, John S. Erickson, et al.. Towards Computable and Explainable Policies Using Semantic Web Standards. In International Semantic Web Conference - 15th Workshop on Ontology Design and Patterns (WOP). (2024) PDF

• Inwon Kang, Sikai Ruan, Jui-Chien Lin, et al.. LLM-powered Preference Learning from Natural Language. In Twenty-Fifth ACM Conference on Economics and Computation (EC) - Workshop on Foundation Models and Game Theory (FMGT 2024). (2024) PDF

• Oshani Seneviratne. Decentralized, Explainable, and Personalized Mental Health Monitoring. In 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI). (2024) DOI

• William Van Woensel, Manan Shukla, and Oshani Seneviratne. Translating Clinical Decision Logic Within Knowledge Graphs to Smart Contracts. In SeWeBMeDa@ ESWC. (2023) PDF

• Kacy Adams and Fernando Spadea and Conor Flynn and Oshani Seneviratne. Assessing Scientific Contributions in Data Sharing Spaces. In ACM Web Conference’s 3rd International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K 2023). (2023) PDF | DOI

• Oshani Seneviratne and Deborah L. McGuinness. Web 3.0 Meets Web3: Exploring the Convergence of Semantic Web and Blockchain Technologies. In Trusting Decentralised KGs on the Web (TrustDeKW’23) at the Extended Semantic Web Conference (ESWC’23), May 28, 2023, Hersonissos, Greece. (2023) PDF

• Flynn, Conor, Bennett, Kristin P., Erickson, John S., et al.. Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance. In 2023 IEEE International Conference on Big Data (BigData). (2023) DOI

• Seneviratne, Oshani, Manan Shukla, and Jianjin Lin. Simplifying Complex Healthcare Needs With Blockchain and Internet of Medical Things. In CHI-ComplexHealth’22: CHI 2022 Workshop - Challenges, Tensions, and Opportunities in Designing Ecosystems to Support the Management of Complex Health Needs. (2022)

• Oshani Seneviratne. Blockchain for Social Good: Combating Misinformation on the Web with AI and Blockchain. In WebSci ’22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26 - 29, 2022. (2022) PDF | DOI

• Kang, Inwon, Gupta, Aparna, and Seneviratne, Oshani. Blockchain Interoperability Landscape. In 2022 IEEE International Conference on Big Data (Big Data). (2022) DOI

Technical Reports

• Piero Andrea Bonatti, Irene Celino, Andrea Cimmino, et al.. Machine Readable Norms and Policies. (2025)

• Chari, Shruthi, Seneviratne, Oshani, Chakraborty, Prithwish, et al.. MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems. In arXiv preprint arXiv:2508.00300. (2025)

• Green, Aaron, Nie, Zihan, Qin, Hanzhen, et al.. FinSurvival: A Suite of Large Scale Survival Modeling Tasks from Finance. In arXiv preprint arXiv:2507.14160. (2025)

• Brian Callahan, Christopher Carothers, Thomas Ferguson, et al.. Harnessing the Future of Computing: Opportunities, Challenges, and Innovations. (2024)

• Zhongqi Yang, Iman Azimi, Mohammed J. Zaki, et al.. Transforming Personal Health AI: Integrating Knowledge and Causal Graphs with Large Language Models. In Proceedings of the ISCAP Conference. (2024)

• Gupta, Aparna, Harithsa, Jyothsna G., and Seneviratne, Oshani. Challenges and Insights for US Initial Coin Offerings. (2023) PDF

• Oshani Seneviratne, Aparna Gupta, and Muhammed Ahmed. Towards Smarter, Efficient and Trusted Insurance Marketplaces through Computable Contracts. In CapGemini White Papers. (2022) PDF

Poster Papers

• Fernado Spadea and Oshani Seneviratne. Avoiding Overpersonalization with Rule-Guided Knowledge Graph Adaptation for LLM Recommendations. In Posters Track, ISWC 2025, November 2–6, 2025, Nara, Japan. (2025)

• Shruthi Chari, Oshani Seneviratne, Prithwish Chakraborty, et al.. MetaExplainer In Action: An Overview of a Framework to Generate Multi-Type User-Centered Explanations. In Posters Track, ISWC 2025, November 2–6, 2025, Nara, Japan. (2025)

• Kang, Inwon, Ram, Parikshit, Zhou, Yi, et al.. Effective Data Distillation for Tabular Datasets. In Proceedings of the AAAI Conference on Artificial Intelligence. (2024) PDF | DOI

• Spadea, Fernando and Seneviratne, Oshani. Navigating the Chaos: The Sandbox Network Analysis. In Companion Publication of the 16th ACM Web Science Conference. (2024) PDF | DOI

• Oshani Seneviratne and Deborah L. McGuinness. Enhancing Biomedical Collaboration through Advanced Data Sharing Mechanisms. In Chicago Bioengineering Conference (CBEC). (2024)

• Seneviratne, Oshani. Enabling Data Interoperability for Decentralized, Smart, and Connected Health Applications. In 2023 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE). (2023) DOI

• Inwon Kang, William Van Woensel, Manan Shukla, and Oshani Seneviratne. Exploring the Use of Large Language Models for Generating Decision Logic and Smart Contracts for Healthcare Processes from Natural Text. In Mobilizing Computable Biomedical Knowledge Global Meeting. (2023)

• Inwon Kang, Sikai Ruan, Tyler Ho, et al.. LLM-augmented Preference Learning from Natural Language. In DIMACS Workshop. (2023)

Demo Papers

• Shukla, Manan, Lin, Jianjing, and Seneviratne, Oshani. Blockchain and IoT Enhanced Clinical Workflow. In International Conference on Artificial Intelligence in Medicine. (2022)

• Patton, Evan, Van Woensel, William, Seneviratne, Oshani, et al.. Development of AI-Enabled Apps by Patients and Domain Experts Using the Punya Platform: A Case Study for Diabetes. In Artificial Intelligence in Medicine: 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14–17, 2022, Proceedings. (2022) PDF | DOI