U.S. Department of Energy

Pacific Northwest National Laboratory

I-VEST: Intelligent Visual Email Search and Triage

Wednesday, October 29, 2014
Enrico Bertini
Lawyers and investigators are often presented with large email datasets that contain emails that are not all relevant to any given investigative search. They must often manually comb through information contained within these large datasets in order to find the information they need, expending large amounts of time and money in the process. Our work offers an interactive visual analytic alternative to current methodology. We introduce a method for reducing the number of emails that need to be viewed in a large dataset while also giving the user a quick overview of possible contents and relationships in a set of results.
Speaker Bio

Dr. Bertini's research focuses on the study of effective data visualization methods and techniques to explore and make sense of large and high-dimensional data. His research has been applied to several application domains including: biochemistry, cybersecurity, development, and healthcare. Professor Bertini earned his Ph.D. degree in Computer Engineering at Sapienza University of Rome in Italy.


Mr. Koven received his B.S. in Computer Science from Worcester Polytechnic in 1982. He began his career at ATEX, where he developed a strong background in desktop publishing and systems programming. At Digital Equipment Corp he continued his work in desktop publishing as part of the Human Software Engineering Research Group, one of the first groups in the country doing Human Computer Interaction (HCI) research. Among other projects, his team developed the text and graphic editors for the early MicroVax work stations. Mr. Koven later earned his M.S. in Computer Science Iona College. His master's thesis focused on managing very large microscopy image montages for neurological image analysis. He is currently a Ph.D. candidate at New York University's Polytechnic School of Engineering working in Nasir Memon's Security and Privacy Group working on Data Forensics and Visual Data Analytics.


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