Tina Eliassi-Rad
(The correct phonetic pronunciation of my lastname is eh-lee-ah-see r-ah-d.)

• Curriculum Vitae (March 2018)
• Short Bio (March 2016)
• High-resolution Photo

Current Employment

• Associate Professor
  Network Science Institute
  College of Computer and Information Science
  Northeastern University
  Boston, MA

Research: Data mining and machine learning with an emphasis on analyzing big complex networks

• Publications
• DBLP
• Google Scholar

Recent Co-organized Events

• Statistical Inference for Network Models
• June 11, 2018
• A NetSci'18 Satellite, Paris, France

• New England Machine Learning Day
• May 7, 2018
• MSR New England, Cambridge, MA

• Long Program in Culture Analytics
• March 7-June 10, 2016
• UCLA IPAM, Los Angeles, CA

• Workshop on Incomplete Networked Data (WIND'16)
• March 22 and 23, 2016
• Sandia National Labs, Livermore, CA

Teaching

• [Fall 2018] Data Mining Techniques (CS 6220)
• [Spring 2017] Data Mining Techniques (CS 6220)
• [Spring 2016] Network Science Research (NETS 8984)
• [Fall 2015] Pattern Recognition: Theory & Applications (16:198:535)
• [Spring 2015] Introduction to Data Science (01:198:443)
• [Fall 2014] Topics in Artificial Intelligence (16:198:598) -- Machine Learning with Large-scale Data
• [Spring 2014] Machine Learning (16:198:536)
• [Fall 2013] Introduction to Data Science (01:198:444)
• [Spring 2013] Information in Networks: Theory, Algorithms, and Applications (16:198:672)
• [Spring 2012] Machine Learning (16:198:536)
• [Fall 2011] Introduction to Network Science: Theory, Algorithms, and Applications (01:198:442)
• [Spring 2011] Graduate Seminar on Graph Mining and Network Analysis (16:198:672)
• [Spring 2011] Light Seminar on Machine Learning (16:198:500:01)

Tutorials

• Problems with Partially Observed (Incomplete) Networks: Biases, Skewed Results, and Solutions (with Sucheta Soundarajan and Sahely Bhadra)
• [SIAM SDM 2018] Abstract, Slides, and Resources

• Mining Smartphone and Mobility Data (with Spiros Papadimitriou, Katharina Morik, and Dimitrios Gunopulos)
[IEEE ICDM 2016] Abstract, Slides, and Resources

• Mining Smartphone Mobility Data (with Spiros Papadimitriou)
• [ICWSM 2016] Abstract, Slides, and Resources

• Problems with Incomplete Networks: Biases, Skewed Results, and Solutions (with Sucheta Soundarajan, Ali Pinar, and Brian Gallagher)
• [SIAM SDM 2016] Abstract, Slides, and Resources

• Understanding Offline Political Systems by Mining Online Political Data (with David Lazer and Oren Tsur)
• [WSDM 2016] Abstract, Slides

• Mining Mobility Data (with Spiros Papadimitriou)
• [WWW 2015] Abstract, Slides, Resources

• Node and Graph Similarity: Theory and Applications (with Danai Koutra and Christos Faloutsos)
• [IEEE ICDM 2014] Abstract and Slides

• Node Similarity, Graph Similarity and Matching: Theory and Applications (with Danai Koutra and Christos Faloutsos)
• [SIAM SDM 2014] Abstract and Slides

• Mining Data from Mobile Devices: A Survey of Smart Sensing and Analytics (with Spiros Papadimitriou)
• [ACM KDD 2013] Abstract, Slides, Resources

• Discovering Roles and Anomalies in Graphs: Theory and Applications (with Christos Faloutsos)
• [ECML PKDD 2013] Slides Part 1 and Part 2 (includes guided role discovery and role discovery over time )
• [SIAM SDM 2012] Slides Part 1 and Part 2

Other Information

• Some Resources: Software, Tools, Data
• KDnuggets: Analytics and Data Mining Resources
• Article in the annual UCLA IPAM Newsletter (9/2012)
• Rutgers-Yahoo! Machine Learning Seminar Series
• Profile on Rutgers SciWomen
• TEDx Rutgers talk (2011)
• Article in Daily Targum (12/07/2010)
• Article in Rutgers Today (11/30/2010)
• Entry in Rutgers Faculty & Staff Bulletin (10/27/2010)
• Mathcamp 2010: Lecture 1, Lecture 2.
• My Husband: Branden Fitelson
• Email: tina at eliassi dot org