0000-0003-2557-3182 About
Vijayan Sugumaran is Distinguished Professor of Management Information Systems and Chair of the Department of Decision and Information Sciences at Oakland University, Rochester, Michigan, USA. He is also the Co-Director of the Center for Data Science and Big Data Analytics at Oakland University. He received his Ph.D. in Information Technology from George Mason University, Fairfax, Virginia, USA. His research interests are in the areas of Big Data Management and Analytics, Ontologies and Semantic Web, Intelligent Agent and Multi-Agent Systems. He has published over 275 peer-reviewed articles in Journals, Conferences, and Books. He has edited twenty books and serves on the Editorial Board of eight journals. He has published in top-tier journals such as Information Systems Research, ACM Transactions on Database Systems, Communications of the ACM, IEEE Transactions on Big Data, IEEE Transactions on Engineering Management, IEEE Transactions on Education, IEEE Transactions on Cybernetics, IEEE Multimedia, and IEEE Software. Dr. Sugumaran is the editor-in-chief of the International Journal of Intelligent Information Technologies. He is the Chair of the Intelligent Agent and Multi-Agent Systems mini-track for Americas Conference on Information Systems (AMCIS 1999–2023). Dr. Sugumaran has served as the Program Chair for the 14th Workshop on E-Business (WeB2015), the International Conference on Applications of Natural Language to Information Systems (NLDB 2008, NLDB 2013, NLDB 2016, and NLDB 2019), 29th Australasian Conference on Information Systems (ACIS 2018), 14th Annual Conference of Midwest Association for Information Systems (MWAIS 2019), 5th IEEE International Conference on Big Data Service and Applications (BDS 2019), and 2022 Midwest Decision Sciences Institute Annual Conference (MWDSI 2022). He also regularly serves as a program committee member for numerous national and international conferences.
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Publications (342)
- Automated ICD-10 Coding Approaches with UMLS Integration and Model Interpretability Support Save
- Expansion Is Not Enough: Revisiting Dynamically Expandable Networks for NLP Tasks Save
- Systematic Literature Review of Human–AI Collaboration for Intelligent Construction Save
- Application of ZKML for Unpredictive Epidemic Response Save
- Correction: Explainable AI for zero-day attack detection in IoT networks using attention fusion model (Discover Internet of Things, (2025), 5, 1, (83), 10.1007/s43926-025-00184-8) Save
- Editorial Save
- Editorial Save
- Exploring heterogeneous differences between Chinese and Western customer preferences for restaurant attributes from online reviews Save
- From natural language to knowledge: The Role of LLMs in conceptual and data modeling Save
- Generating a defect-enriched geometric digital twin for tunnel operation and maintenance using a bottom-up unsupervised approach Save