Tina Eliassi-Rad (Rutgers University)

Tina Eliassi-Rad
Tina Eliassi-Rad

Tina Eliassi-Rad is an Associate Professor of Computer Science at Rutgers University. Before joining academia, she was a Member of Technical Staff and Principal Investigator at Lawrence Livermore National Laboratory. Tina earned her Ph.D. in Computer Sciences (with a minor in Mathematical Statistics) at the University of Wisconsin-Madison. Her current research lays at the intersection of graph mining, network science, and computational social science. Within data mining and machine learning, Tina’s research has been applied to the World-Wide Web, text corpora, large-scale scientific simulation data, complex networks, fraud detection, and cyber situational awareness. She has published over 60 peer-reviewed papers and has given over 100 invited presentations. Tina is an action/associate editor for the Data Mining and Knowledge Discovery Journal and the IEEE Transactions on Knowledge and Data Engineering. She is also a member of the editorial board for the Springer Encyclopedia of Machine Learning and Data Mining. In 2010, she received an Outstanding Mentor Award from the US DOE Office of Science. For more details, visit http://eliassi.org.

B. Aditya Prakash (Virginia Tech.)

B Aditya Prakash
B Aditya Prakash

B. Aditya Prakash is an Assistant Professor in the Computer Science Department at Virginia Tech. He graduated with a Ph.D. from the Computer Science Department at Carnegie Mellon University in 2012, and got his B.Tech (in CS) from the Indian Institute of Technology (IIT) — Bombay in 2007. He has published more than 30 refereed papers in major venues, holds two U.S. patents and has given two tutorials (VLDB 2012 and ECML/PKDD 2012) at leading conferences. His work has also received a best paper award and two best-of-conference selections (CIKM 2012, ICDM 2012, ICDM 2011) and multiple travel awards. His research interests include Data Mining, Applied Machine Learning and Databases, with emphasis on big-data problems in large real-world networks and time-series. His work has been funded through grants/gifts from the National Science Foundation (NSF), the Department of Energy (DoE), the National Security Agency (NSA), the National Endowment for Humanities (NEH) and from companies like Symantec. He received a Facebook Faculty Gift Award in 2015. He is also an affiliated faculty member at the Discovery Analytics Center at Virginia Tech. Aditya’s homepage is at: http://www.cs.vt.edu/~badityap.