Tina Eliassi-Rad is a Professor of Computer Science. Her research in machine learning and data mining spans theory, algorithms, and applications of massive networked data. Examples include axiomatic approaches to descriptive measures on graphs, unifying the physics of networks with the mining of graphs, role discovery, anomaly detection, cultural analytics, cyber situational awareness, and social ranking systems.
Office location
office location
177 Huntington Ave
Roux Institute
100 Fore St
Portland, ME 04101
100 Fore St
Portland, ME 04101
Network Science Institute
177 Huntington Ave
177 Huntington Ave
Room
Desk
1023
Boston, MA 02115
*Primarily remote
Portland, ME
Boston, MA 02115
Contact
email
Tina
Download CV
personal website
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Featured media
Tine Eliassi-Rad Adds Prestigious Award to Her Networks and AI Honors Tine Eliassi-Rad Adds Prestigious Award to Her Networks and AI Honors
News @Northeastern
August 22, 2022
NetSI faculty Tina Eliassi-Rad receives Excellence in Research and Creative Activity AwardNetSI faculty Tina Eliassi-Rad receives Excellence in Research and Creative Activity Award
NetSI News
May 2, 2022
Research Panel on “Fighting a Pandemic: Convergence of Expertise, Data Science and Policy"Research Panel on “Fighting a Pandemic: Convergence of Expertise, Data Science and Policy"
KDD2020
August 26, 2020
New report and interactive dashboard from NetSI researchers: Mobility, commuting, and contact patterns during the COVID-19 outbreakNew report and interactive dashboard from NetSI researchers: Mobility, commuting, and contact patterns during the COVID-19 outbreak
NetSI News
May 11, 2020
Artificial intelligence experts from academia and industry convened at New England Machine Learning DayArtificial intelligence experts from academia and industry convened at New England Machine Learning Day
NetSI News
September 4, 2019
Best Paper Award for "Improving Robustness to Attacks Against Vertex Classification"Best Paper Award for "Improving Robustness to Attacks Against Vertex Classification"
NetSI News
August 14, 2019
How to create unbiased algorithms in a biased societyHow to create unbiased algorithms in a biased society
News@Northeastern
December 4, 2017
Associated Projects
formalized representations of the geometry of multi-dimensional networks