Tina Eliassi-Rad's Home Page (original) (raw)

Tina Eliassi-Rad
The phonetic pronunciation of my lastname is: eh-LEE-ah-SEE RAH-d.

• Curriculum Vitae (May 2025)
• Bio (May 2025)
• High-resolution Photo

Current Employment

Professor & The Inaugural Joseph E. Aoun Chair
Khoury College of Computer Sciences
Northeastern University, Boston, MA Core Faculty at

• Network Science Institute, Northeastern University External Faculty at
• Santa Fe Institute
• Vermont Complex Systems Institute Affiliated Faculty at
• NULab for Digital Humanities and Computational Social Science, Northeastern University
• Global Resilience Institute, Northeastern University
• Cybersecurity and Privacy Institute, Northeastern University
• Institute for Experiential AI, Northeastern University
• Internet Democracy Initiative, Northeastern University

Research Interests

• Data Mining & Machine Learning
• Network Science & Complex Systems
• Artificial Intelligence & Society Current Research Programs
• Trustworthy Network Science: As the use of ML algorithms in network science grows, so do the issues of explainability, transparency, stability, robustness, etc. We address issues of trustworthy ML in network science.
• Just Machine Learning: ML systems are not islands. They are part of broader complex systems. To understand and mitigate the risks of using ML, we remove our optimization blinders and study the broader complex systems in which ML systems operate. Publications
• DBLP
• Google Scholar
• Semantic Scholar
• arXiv
• medRXiv
• bioRXiv
• psyarXiv RADLAB

Recently Co-organized Events

• Workshop on Humans, Algorithmic Decision-Making and Society: Modeling Interactions and Impact
  • July 27, 2024
  • Workshop at the International Conference on Machine Learning (ICML), Vienna, Austria

Teaching

• [Fall 2024] Machine Learning with Graphs (NETS 7332 cross-listed with CS 7332)
• [Fall 2023] Machine Learning with Graphs (NETS 7332)
• [Spring 2022] Unsupervised Machine Learning and Data Mining (DS 5230)
• [Fall 2021] Introduction to Computer Science Research (CS 3950)
• [Fall 2021] Computer Science Research Seminar (CS 4950)
• [Spring 2021] Network Science Data 2 (PHYS 7332)
• [Fall 2020] Algorithms that Affect Lives (HONR 1310)
• [Spring 2020] Algorithms that Affect Lives (HONR 1310)
• [Fall 2019] Data Mining Techniques (CS 6220) cross-listed with Unsupervised Machine Learning and Data Mining (DS 5230)
• [Spring 2019] Data Mining Techniques (CS 6220) cross-listed with Unsupervised Machine Learning and Data Mining (DS 5230)
• [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

• Incompleteness in Networks: Biases, Skewed Results, and Some Solutions (with Rajmonda Caceres and Timothy LaRock)
  • [ACM KDD 2019] Abstract, Slides, and Resources
• Graph Metric Spaces (with Jose Bento, Stratis Ioannidis, and Leo Torres)
  • [SIAM SDM 2019] Abstract, Slides, and Resources
  • [ACM KDD 2018] Abstract, Slides, and Resources
• 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

• My Husband: Branden Fitelson
• Email: tina at eliassi dot org