Krishnaprasad Thirunarayan, Ph.D.
Curriculum Vitae
Education History
Ph.D. degree in Computer Science from the State University of New York at Stony Brook. (1989)
M.E. in Computer Science from the Indian Institute of Science at Bangalore. (1984)
B.Tech. in Electrical Engineering from the Indian Institute of Technology at Madras (1982)
Teaching
Some Recent Classes
CS7100 Advanced Programming Languages
CS7200 Algorithm Design and Analysis
CS7120 Functional and Logic Programming
His teaching interests are in Information Retrieval/Extraction, Algorithms, Knowledge Representation and Reasoning, and Programming Languages.
Research Statement
Dr. Prasad's research interests are broadly in AI/ML/NLP, LLMs and Reasoning, Semantic Analysis of Data, and Trust with applications to health care, medical informatics, mental health, disasters, etc. His past research work has been supported by NSF, NIH, AFOSR and local small businesses.
Awards/Recognition
2023 Wright State University Trustees’ Award for Faculty Excellence 2022– 2023 (Highest Award Conferred by WSU)
2019 ACM SIGSPATIAL 2nd Place Blue Sky Idea Award
2014-15, 2007-08 WSU College of Egr. and Comp. Sci. Outstanding Faculty Awards
2012 Fukuoka Ruby Competition, Technology Award
2011, 2009 Indian Intl. Conf. on AI, Achievement and Service Awards
2011 IEEE (Dayton Section) Fritz J. Russ Award
Publications
Some Recent Journal Publications
T. Wijesiriwardene, K. Thirunarayan and A. Sheth, From Morphemes to Knowledge Graphs: Enabling Abstractions in Large Language Models With Neurosymbolic AI, IEEE Intelligent Systems, vol. 40, no. 6, pp. 80-86, Nov.-Dec. 2025, doi: 10.1109/MIS.2025.3621940.
Hossein Mohammadi, Maziyar Baranpouyan, Krishnaprasad Thirunarayan, Lingwei Chen, Robust Single-Cell RNA-Seq Analysis Using Hyperdimensional Computing: Enhanced Clustering and Classification Methods, Artificial Intelligence, vol. 6, no. 5: 94. https://doi.org/10.3390/ai6050094, 2025. (Special Issue: Artificial Intelligence in Biomedical Engineering: Challenges and Developments)
Akalya Devi C., Karthika Renuka D., Pooventhiran G., Harish D., Shweta Yadav, Krishnaprasad Thirunarayan: Towards Enhancing Emotion Recognition via Multimodal Framework, Journal of Intelligent and Fuzzy Systems, vol. 44, no. 2, pp. 2455-2470, 2023. (DOI: 10.3233/JIFS-220280)
Usha Lokala, Francois Lamy, Raminta Daniulaityte, Manas Gaur, Amelie Gyrard, Krishnaprasad Thirunarayan, Ugur Kursuncu, Amit Sheth: Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study, JMIR Public Health and Surveillance, 2022;8(12):e24938, DOI: 10.2196/24938
Manas G, Aribandi V, Kursuncu U, Alambo A, Shalin V, Thirunarayan K, Beich J, Narasimhan M, Sheth A: Knowledge-Infused Abstractive Summarization of Clinical Diagnostic Interviews: Framework Development Study JMIR Ment Health 2021;8(5):e20865, PMID: 33970116, PMCID: 8145083, DOI: 10.2196/20865
Some Recent Conference Publications
Anish R Joishy, Ishwar B Balappanawar, Vamshi Krishna Bonagiri, Manas Gaur, Krishnaprasad Thirunarayan, Ponnurangam Kumaraguru, Flying Pigs, FaR and Beyond: Evaluating LLM Reasoning in Counterfactual World, International Joint Conference on Neural Networks (IJCNN 2026), 7 pages, 2026. (https://arxiv.org/abs/2505.22318) (https://github.com/Sukin272/CounterLogic)
Yuxin Zi, Kaushik Roy, Krishnaprasad Thirunarayan, and Amit Sheth: Hands-On Tutorial: Neurosymbolic AI and the Logic-Knowledge Graph Spectrum, Knowledge Graph Conference (KGC) 2025, 2025.
Ishwar B. Balappanawar, Vamshi Krishna Bonagiri, Anish Joishy, Manas Gaur, Krishnaprasad Thirunarayan, Ponnurangam Kumaraguru: If Pigs Could Fly... Can LLMs Logically Reason Through Counterfactuals?, CoRR abs/2505.22318, (2025)
Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil, Krishnaprasad Thirunarayan, Raxit Goswami, Manas Gaur: K-PERM:Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. AAAI Spring Symposia 2024: 219-226, 2024.
Hossein Mohammadi, Maziar Baranpouyan, Krishnaprasad Thirunarayan, and Lingwei Chen: HyperCell: Advancing Cell Type Classification with Hyperdimensional Computing, 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2024), 4 pages, 2024.
Utkarshani Jaimini, Krishnaprasad Thirunarayan, Maninder Kalra and Amit Sheth: Personalized Bayesian Inference for Explainable Healthcare Management and Intervention, Human-Centered XAI Workshop, The 12th IEEE International Conference on Healthcare Informatics, (IEEE ICHI 2024), 7 pages, 2024.
Maziar Baranpouyan, Hossein Mohammadi, Hojjat Torabi Goudarzi, Krishnaprasad Thirunarayan, and Lingwei Chen: Enhancing Rare Cell Type Identification in Single-Cell Data: An Innovative Gene Filtering Approach using Bipartite Cell-Gene Relation Graph, The IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2023), 5 pages, 2023.
Publications
Research Monograph
Amit P. Sheth and Krishnaprasad Thirunarayan: Semantics Empowered Web 3.0: Managing Enterprise, Social, Sensor, and Cloud-based Data and Services for Advanced Applications. Synthesis Lectures on Data Management, Morgan & Claypool Publishers, 2012. (174 pages) http://dx.doi.org/10.2200/S00433ED1V01Y201207DTM031
Conference Proceedings (Editor)
Marcelo Arenas, Oscar Corcho, Elena Simperl, Markus Strohmaier, Mathieu d’Aquin, Kavitha Srinivas, Paul Groth, Michel Dumontier, Jeff Heflin, Krishnaprasad Thirunarayan, Steffen Staab: The Semantic Web- ISWC 2015, 14th International Semantic Web Conference, Bethlehem, Pennsylvania, USA, October 11-15, 2015, Proceedings, Part I, Lecture Notes in Computer Science 9366, Springer 2015. ISBN 978-3-319-25006-9
Marcelo Arenas, Oscar Corcho, Elena Simperl, Markus Strohmaier, Mathieu d’Aquin, Kavitha Srinivas, Paul Groth, Michel Dumontier, Jeff Heflin, Krishnaprasad Thirunarayan, Steffen Staab: The Semantic Web- ISWC 2015, 14th International Semantic Web Conference, Bethlehem, Pennsylvania, USA, October 11-15, 2015, Proceedings, Part II, Lecture Notes in Computer Science 9367, Springer 2015. ISBN 978-3-319-25009-0
Abraham Bernstein, David R. Karger, Tom Heath, Lee Feigenbaum, Diana Maynard, Enrico Motto and Krishnaprasad Thirunarayan (Editors): Proceedings of the 8th International Semantic Web Conference (ISWC-2009), Washington DC, LNCS 5823, Springer-Verlag (Heidelberg), October 2009.
Amit Sheth, Steffen Staab, Mike Dean, Massimo Paolucci, Diana Maynard, Timothy Finin and Krishnaprasad Thirunarayan: Proceedings of the 7th International Semantic Web Conference (ISWC-2008), Karlsruhe, LNCS 5318, Springer-Verlag (Heidelberg), October 2008.
Popular Tutorials
K. Thirunarayan: Trust Management : Multimiodal Data Perspective. (71K views as of 05/11/2021) https://bit.ly/3tyVhao
K. Thirunarayan: Big Data Challenges and Trust Management. https://bit.ly/3bmBdln
K. Thirunarayan: Semantics-enhanced Cyberinfrastructure for ICMSE. https://bit.ly/33BOq5m
Students Advised
Doctoral Students with Dissertation Title (Additionally, on 60+ Ph.D. Dissertation Committees https://etd.ohiolink.edu/)
Hossein Mohammadi: “Advancing Single-Cell Analysis: Innovative Approaches in RNA-Seq Data Cell Type Classification, Rare Cell Identification, and Cell Perturbation”, 2026. (Joint with L. Chen) (Winner of 2026 Trustees Distinguished Doctoral Dissertation Award — Honorable Mention, and 2025 CECS Ph.D. Student Excellence Award)
Joy Sain: “Reliable Named Entity Recognition using Incomplete Domain-Specific Dictionaries”, 2023. (Joint with M. Raymer) (Now with J. B. Morgan Chase, New York, NY).
Amanuel Alambo: “Semantics-driven Abstractive Document Summarization”. 2022. (Joint with T. Banerjee) (Now with eBay, San Jose, CA).
Hussein S. Al-Olimat: “Knowledge-Enabled Entity Extraction”. 2019. (Now with PointClickCare USA Corp, Chicago, IL). (Winner of 2019 Graduate Student Excellence Award for Ph.D. in CSE.)
Kalpa Gunaratna: “Semantics based Summarization, Alignment, and Utilization of Semi-structured Data on the Web ”. 2017. (Joint with A. Sheth) (Now with Samsung Electronics, San Francisco, CA).
Pramod Anantharam: “Knowledge-empowered Probabilistic Graphical Models for PhysicalCyber-Social Systems”, 2016. (Joint with A. Sheth) (Offered: ’Eric and Wendy Schmidt Data Science for Social Good’ Fellowship for Summer 2014) (Now with Bosch USA, Pittsburgh, PA). (Winner of 2014 Graduate Student Excellence Award for Ph.D. in CSE.)
Chad Arnold: “Combating Integrity Attacks in Industrial Control Systems”, 2014. (Joint with J. Butts) (Now with NASIC, Dayton, OH).
Trivikram Immaneni: “A Hybrid Approach to Retrieving Web Documents and Semantic Web Data”, 2008. (Now with Globality, Inc, Palo Alto, CA.) (Winner of 2008 Graduate Student Excellence Award for Ph.D. in CSE.)
Stephen P. Carl: “A Framework for Experimentation in Memory Management Systems”, 2005. (Tenured Associate Professor, http://scarl.sewanee.edu/)
Subset of Masters’ Students with Thesis Title (Additionally, on 60+ MS Thesis Committees https://etd.ohiolink.edu)
Dr. Scott Williams: “Comparative Adjudication of Noisy and Subjective Data Annotation Disagreements for Deep Learning”. (https://people.wright.edu/scott.williams)
Michael Partin: “Scalable, Pluggable, and Fault Tolerant Multi-Modal Situational Awareness Data Stream Management Systems”. (Co-Advisor) (Now with Cognovi Labs)
Shruti Kar: “Multi-scale and Multi-modal Streaming Data Aggregation and Processing for Decision Support During Natural Disasters. (Now with InfoTrust)
Jacob Ross: “Features for Ranking Tweets Based on Credibility and Newsworthiness”. (Now with AFRL)
Abhiram Tateneni: “Temporally Biased Search Result Snippets”. (Now with Cognizant)
Joshua Pschorr: “SemSOS: An Architecture for Query, Insertion, and Discovery for Semantic Sensor Networks”. (Winner of 2013 Graduate Student Excellence Award for M.S. in CS.) (Now with Amazon)
Dhanya Ravishankar: “Document Indexing and Semantic Search”. (Winner of 2004 Graduate Student Excellence Award for M.S. in CS.) (Now with US Bank)