Tina Eliassi-Rad | |
---|---|
Alma mater | University of Wisconsin–Madison University of Illinois at Urbana–Champaign |
Awards | Lagrange Prize (2023), Network Science Society Fellow (2023) [1] |
Scientific career | |
Institutions | Northeastern University Rutgers University Lawrence Livermore National Laboratory |
Thesis | Building intelligent agents that learn to retrieve and extract information (2001) |
Website | Eliassi.org |
Tina Eliassi-Rad is an American computer scientist and the inaugural President Joseph E. Aoun Professor[2] at Northeastern University. Her research is at the intersection of artificial intelligence (namely, data mining and machine learning), network science, and applied ethics. In 2023, she won the Lagrange Prize for her work on ethical approaches to artificial intelligence.
Early life and education
Eliassi-Rad studied computer sciences at the University of Wisconsin–Madison.[3] She earned a bachelor's degree with distinction in 1993, before moving to Illinois to begin graduate program at the University of Illinois at Urbana–Champaign. She returned to Wisconsin for her doctoral research, where she worked on intelligent agents.[4] After graduating, Eliassi-Rad joined the research team at the Lawrence Livermore National Laboratory.[5]
Research and career
Eliassi-Rad joined Rutgers University as an Assistant Professor in 2010. She moved to Northeastern University in 2016, where she was made Professor in 2020.[6] She is part of the Northeastern University Network Science Institute.[7] She currently teaches the honors inquiry course "Algorithms That Affect Lives."[8]
Awards and honors
- 2010 United States Department of Energy Office of Science Outstanding Mentor Award[9]
- 2019 Elected Fellow of the Institute for Scientific Interchange[10]
- 2021 One of the 100 Brilliant Women in AI Ethics [11]
- 2022 Northeastern University Excellence in Research and Creative Activity Award [12]
- 2023 Lagrange Prize-CRT Foundation [13]
- 2023 Network Science Society Fellow [14]
Selected publications
- Sen, Prithviraj; Namata, Galileo; Bilgic, Mustafa; Getoor, Lise; Galligher, Brian; Eliassi-Rad, Tina (2008-09-06). "Collective Classification in Network Data". AI Magazine. 29 (3): 93. doi:10.1609/aimag.v29i3.2157. hdl:1903/7546. ISSN 2371-9621.
- Henderson, Keith; Gallagher, Brian; Eliassi-Rad, Tina; Tong, Hanghang; Basu, Sugato; Akoglu, Leman; Koutra, Danai; Faloutsos, Christos; Li, Lei (2012-08-12). "RolX". Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. KDD '12. Beijing, China: Association for Computing Machinery. pp. 1231–1239. doi:10.1145/2339530.2339723. ISBN 978-1-4503-1462-6. S2CID 458476.
- Tong, Hanghang; Faloutsos, Christos; Gallagher, Brian; Eliassi-Rad, Tina (2007-08-12). "Fast best-effort pattern matching in large attributed graphs". Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. KDD '07. San Jose, California, USA: Association for Computing Machinery. pp. 737–746. doi:10.1145/1281192.1281271. ISBN 978-1-59593-609-7. S2CID 6238562.
References
- ↑ "Network Science Society" July 2023
- ↑ "Northeastern News" 24 September 2023
- ↑ "Tina Eliassi-Rad". Northeastern University. Retrieved 2020-10-25.
- ↑ Eliassi, -Rad, Tina (2001). Building intelligent agents that learn to retrieve and extract information. OCLC 609079420.
{{cite book}}
: CS1 maint: multiple names: authors list (link) - ↑ "Tina Eliassi-Rad – Khoury College of Computer Sciences". Retrieved 2020-10-25.
- ↑ "Tina Eliassi-Rad". The Helix Center. Retrieved 2020-10-25.
- ↑ "Tina Eliassi-Rad | People". www.networkscienceinstitute.org. Retrieved 2020-10-25.
- ↑ "Algorithms that Affect Lives". eliassi.org. Retrieved 2020-10-25.
- ↑ "Lawrence Livermore National Laboratory News 2 July 2010
- ↑ " ISI Foundation" 2019
- ↑ "Women in AI Ethics" 2021 List
- ↑ "Northeastern University Academic Honors" April 2022
- ↑ "ISI Foundation Press" 26 June 2023
- ↑ "Network Science Society" July 2023
External links
- Tina Eliassi-Rad publications indexed by Google Scholar