Jaideep Vaidya

Jaideep Vaidya is a Distinguished Professor of Computer Information Systems at Rutgers University, the Director of the Rutgers Institute for Data Science, Learning, and Applications. He received the B.E. degree in Computer Engineering from the University of Mumbai, the M.S. and Ph.D. degree in Computer Science from Purdue University. His general area of research is at the intersection of security, privacy, data mining, data management, and artificial intelligence. He has published over 200 technical papers in peer-reviewed journals and conference proceedings, and has received best paper awards from the premier conferences in data mining, databases, digital government, security, and informatics. He is a Fellow of the AAAS, IAHSI, IEEE, and IFIP as well as an ACM Distinguished Scientist. He served as the Editor-in-Chief of the IEEE Transactions on Dependable and Secure Computing, proposed the IEEE Transactions on Privacy, and is the 2024 Vice President of Publication for IEEE Computer Society. Notably, the team he led won the first prize in the US-UK Privacy Enhancing Technologies Challenge in the Financial Crime Track in 2023.

Academic degrees

Ph.D., Purdue University; Computer Science
M.S., Purdue University; Computer Science
B.S., Mumbai University; Computer Engineering

Related News

A professor's quest to protect data and make it more equitable

Rutgers Business School researchers win international privacy enhancing technologies challenge

Professor Jaideep Vaidya is named a fellow of the American Association for the Advancement of Science

Tracking COVID-19 with a new app that assures user privacy

Rutgers Business School-New Brunswick undergraduates earn runner-up at Kelley School of Business National Diversity Case Competition

Dissertations Supervised

Name: Wang, Xinyue
Graduation Date: 2024/May

Name: Elahraf, Abeer
Graduation Date: 2021/October

Name: Batra, Gunjan
Graduation Date: 2021/October

Name: Asif, Hafiz
Graduation Date: 2021/January

Name: Badar, Nazia
Graduation Date: 2016/October
Thesis Title: Configuration Management in Access Control Systems
(Co-Advisor with Vijay Atluri)

Name: Lorenzi, David
Graduation Date: 2016/October
Thesis Title: Enhancing Security and Usability from a Human Perspective on the World Wide Web

Name: Uzun, Emre
Graduation Date: 2015/October
Thesis Title: Formal Security Analysis of Access Control Models and Their Spatiotemporal Extensions
(Co-directed with Vijay Atluri)

Name: Hong, Yuan
Graduation Date: 2013/October
Thesis Title: Privacy-preserving Collaborative Optimization
Placement: Assistant Professor at University at Albany - SUNY.

Name: He, Xiaoyun
Graduation Date: 2011/October
Thesis Title: Privacy Preserving Analysis of Graph Structured Data.
(Co-directed with Nabil Adam)

Name: Lu, Haibing
Graduation Date: 2011/October
Thesis Title: Boolean Matrix Decomposition with Extensions: Application to Role Mining.
(Co-directed with Vijay Atluri)

Name: Guo, Qi
Graduation Date: 2010/October
Thesis Title: The Role Mining Problems: A Formal Approach.
(Co-directed with Vijay Atluri)

Name: Shin, Heechang
Graduation Date: 2010/October
Thesis Title: Ensuring Security and Privacy in a Personalized Mobile Environment.
(Co-directed with Vijay Atluri)