Jaideep Vaidya, PhD, Rutgers University

Dr. Jaideep Vaidya is an Associate Professor of Computer Information Systems at Rutgers University. He possesses a broad background in computer science and information systems, with specific training and expertise in the key research areas for this pilot project. He is one of the pioneers of the field of privacy-preserving data mining and has significant work in the area of data summarization. His dissertation first demonstrated how privacy-preserving data mining could be carried out over vertically partitioned (heterogeneously distributed) data. Dr. Vaidya laid the groundwork to develop privacy preserving algorithms for all of the readily accepted data analysis tasks and for every kind of data distribution. He is also an expert in data analytics and has formalized the extended boolean matrix factorization problem, a summarization problem with applications in text analytics, access control, and other areas. His work on privacy, security, and analytics has been influential, resulting in over 4,900 citations and an h-index of 30 (as per Google Scholar). As the PI or co-Investigator on several university-, DHS-, and NSF- funded grants, he has successfully administered several projects (e.g., staffing, research protections, budget), collaborated with other researchers, and produced numerous peer-reviewed publications from each project.