COLLEGE OF ARTS AND SCIENCES Department of Mathematics and Statistics


DISTINGUISHED SPEAKER SERIES
IN DATA SCIENCE


Sponsored by the School of Engineering, the Department of Mathematics & Statistics,
and the Analysis+Data Group

Tina Eliassi-Rad

Associate Professor of Computer Science at Rutgers University

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 (including a best paper runner-up award at ICDM'09 and a best interdisciplinary paper award at CIKM'12); and has given over 100 invited presentations. Tina is an action editor for the Data Mining and Knowledge Discovery Journal and 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.

Papers

  1. Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos:
    It's who you know: Graph mining using recursive structural features. ACM KDD 2011: 663-671.
  2. Mangesh Gupte, Tina Eliassi-Rad:
    Measuring tie strength in implicit social networks. ACM WebSci 2012: 109-118.
  3. Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li:
    RolX: Structural role extraction & mining in large graphs. ACM KDD 2012: 1231-1239.
  4. Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos:
    Gelling, and melting, large graphs by edge manipulation . ACM CIKM 2012: 245-254.
  5. Sean Gilpin, Tina Eliassi-Rad, Ian N. Davidson:
    Guided learning for role discovery (GLRD): Framework, algorithms, and applications. ACM KDD 2013: 113-121.
  6. Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher:
    A Guide to Selecting a Network Similarity Method. SIAM SDM 2014: 1037-1045.