Center for Visual and Decision Informatics

Phone: (337) 482-6603
Email: raghavan@louisiana.edu
Website: http://www.ucs.louisiana.edu/~vvr3254/

• Ph.D. - Computing Science | University of Alberta | 1973 - 1978
  
• M.B.A. - Accounting, Marketing, Management Science | McMaster University | 1968 - 1970
  
• B. Tech. - Mechanical Engineering |Indian Institute of Technology - Madras | 1964 - 1968
  

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 (https://www.researchgate.net/profile/Vijay_Raghavan10). 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.

• 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

• Data Integrity of Smart City Traffic Infrastructure 6a.020.UL
• A Predictive Analytics Framework for Spatiotemporal Hotspots

• Ontology-based Fast Semantic Indexing for Structured and Unstructured Data in Health Care 7a.003.UL

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: https://dblp.uni-trier.de/pid/r/VVRaghavan1.html