PhD Forum

12 Dec 2016
Room S2

PhD Forum

Invited talk
“Top Ten List of Things That I’ve Learned Advising PhD Students”
Tina Eliassi-Rad

Tina Eliassi-Rad is an Associate Professor of Computer Science at Northeastern University in Boston, MA. She is also on the faculty of Northeastern’s Network Science Institute. Prior to joining Northeastern, Tina was an Associate Professor of Computer Science at Rutgers University; and before that 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 research is rooted in data mining and machine learning; and spans theory, algorithms, and applications of massive data from networked representations of physical and social phenomena. Tina’s work has been applied to personalized search on the World-Wide Web, statistical indices of large-scale scientific simulation data, fraud detection, mobile ad targeting, and cyber situational awareness. Her algorithms have been incorporated into systems used by the government and industry (e.g., IBM System G Graph Analytics) as well as open-source software (e.g., Stanford Network Analysis Project). In 2010, she received an Outstanding Mentor Award from the Office of Science at the US Department of Energy. For more details, visit

Student presentations

“A Semi-Supervised Ensemble Approach for Multi-Label Learning”
Ouadie Gharroudi, Haytham Elghazel, and Alex Aussem

“Similarity Tree Pruning: a novel dynamic ensemble selection approach”
Anil Narassiguin, Haytham Elghazel, and Alex Aussem

“A Novel Bayesian Ensemble Pruning Method”
Zhengshen Jiang, Hongzhi Liu, Bin Fu, and Zhonghai Wu

“A novel pre-classification based kNN algorithm”
Huahua Xie, Dong Liang, Hao Jin, Zhaojing Zhang, and Shizhan Lan

ICDM 2016