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Vijay Raghavan, Ph.D.

Contact Information

Phone: (337) 482-6603


Ph.D. - Computing Science | University of Alberta (1978)

M.B.A. - Accounting, Marketing, Management Science | McMaster University (1970)

B. Tech. - Mechanical Engineering |Indian Institute of Technology - Madras (1968)

CVDI Founder & Site Director; Alfred and
Helen Lamson Endowed Professor in Computer
Science, University of Louisiana at Lafayette


His research interests are in information retrieval and extraction, data and web mining, multimedia retrieval, data integration, and literature-based discovery. He has published around 275 peer-reviewed research papers ( These and other research contributions cumulatively accord him an h-index of 33, based on citations to his publications. He has served as major adviser for 28 doctoral students and has garnered over $13 million in external funding. Dr. Raghavan brings substantial technical expertise, interdisciplinary collaboration experience, and management skills to his projects.

His service work at the university includes coordinating the Louis Stokes-Alliance for Minority Participation (LS-AMP) program since 2001. Raghavan has served as PC Chair, PC Co-chair or PC member in countless ACM and IEEE conferences. He received the ICDM 2005 Outstanding Service Award. Raghavan was an ACM National Lecturer from 1993 to 2006. He was a member of the Advisory Committee of the NSF Computer and Information Science and Engineering directorate, from 2008-2010. He serves on the Executive Committee of the IEEE -TCII and on the Steering committees of WIC Consortium and Int’l Rough Sets society. He received WIC 2013 Outstanding Service Award. He is one of the Editors-in-Chief of Web Intelligence journal and an Associate Editor ACM transactions on Internet Technology.

He is the founding director of the Visual and Decision Informatics (CVDI), an NSF-funded Industry University Cooperative Research Center, since February 2012, and a co-director of the Laboratory for Internet Computing.

Investigated Projects (PI)

An Ontology-based Architecture for Providing Insights 6a.025.UL

Predicting Future Relations: Incremental and Robust Link Prediction 15.2

Research Experience for Undergraduates (REU)

Collaborative Research: Fundamental Research in Visualization-based Gap Analysis and Link Prediction

Comparative Knowledge Discovery: Analyzing, Understanding and Visualizing Rankings 16.09

Investigated Projects (Co-PI)

Data Integrity of Smart City Traffic Infrastructure 6a.020.UL

A Predictive Analytics Framework for Spatiotemporal Hotspots

Involved Projects (Researcher)


Venkat N. Gudivada, Dhana Rao, Vijay V. Raghavan: Renaissance in Database Management: Navigating the Landscape of Candidate Systems.IEEE Computer 49(4): 31-42 (2016) Venkat N. Gudivada, Ricardo A. Baeza-Yates, Vijay V. Raghavan: Big Data: Promises and Problems. IEEE Computer 48(3): 20-23 (2015)

Yuefeng Li, Vijay V. Raghavan: Editorial. Web Intelligence 13(3): 135 (2015) Satya Katragadda, Harika Karnati, Murali Pusala, Vijay V. Raghavan, Ryan G. Benton: Detecting adverse drug effects using link classification on twitter data. BIBM 2015: 675-679

Dhana Rao, Venkat N. Gudivada, Vijay V. Raghavan: Data quality issues in big data. Big Data 2015: 2654-2660 Elshaimaa Ali, Vijay V. Raghavan: Extending SKOS: A Wikipedia-Based Unified Annotation Model for Creating Interoperable Domain Ontologies. ISMIS 2015: 364-370

Link to publications:

about/personnel/vijay.txt · Last modified: 2021/03/08 14:40 by sally.johnson