
Erisa Terolli
Teaching Assistant Professor
School of Computing
Education
- Ph.D. (2018) Sapienza University of Rome (Computer Science)
Research
Data/Graph Mining
Social Computing
Social Computing
Experience
Postdoc Researcher - Max Planck Institute of Informatics (2018 - 2021)
Visiting Research Scholar - Brown University - 2017
Visiting Research Scholar - Brown University - 2017
Institutional Service
- SWICS Student Club Advisor Chair
- Teaching Faculty Advisory Board Member
- ADAPT S-STEM program Member
- First Generation Low Income Mentorship Program Member
- Culture and Engagement Chair
- SES Dean's Faculty Advisory Council (FAC) Member
- Internal Review/SES Associate Dean for Undergraduate Studies Member
- Developing Curriculum Committee Member
- ADAPT S-STEM program Member
- Google Developer Student Club Advisor Chair
- SWICS Student Club Advisor Chair
- NSF BPC Plan Workshop Member
- First Generation Low Income Mentorship Program Member
- Academic Ambassador Member
- CS NTT Search Committee Member
- DEI Committee Member
- Academic Ambassador Member
- CS Chair Search Committee Member
Appointments
- Teaching Assistant Professor - Stevens Institute of Technology Sep 2021 - present.
Honors and Awards
- Google Anita Borg Fellowship 2015
- ICT Awards - Female in ICT 2016
- ICT Awards - Female in ICT 2016
Grants, Contracts and Funds
Inclusive Computing & AI Initiative (Northeastern University), - Principal Investigator - $375,096.00
Selected Publications
Conference Proceeding
- Guimareas, A.; Terolli, E.; Weikum, G. (2021). Comparing Health Forums: User Engagement, Salient Entities, Medical Detail. 2021 Conference on Computer Supported Cooperative Work and Social Computing. 2021 Conference on Computer Supported Cooperative Work and Social Computing.
https://dl.acm.org/doi/fullHtml/10.1145/3462204.3481748. - Guimaraes, A.; Balalau, O.; Terolli, E.; Weikum, G. (2019). Analyzing the Traits and Anomalies of Political Discussions on Reddit. Proceedings of the International AAAI Conference on Web and Social Media (vol. 13, pp. 205-213). Association for the Advancement of Artificial Intelligence (AAAI).
https://doi.org/10.1609/icwsm.v13i01.3222.
Journal Article
- De Stefani, L.; Terolli, E.; Upfal, E. (2021). Tiered Sampling: An Efficient Method for Counting Sparse Motifs in Massive Graph Streams. ACM Transactions on Knowledge Discovery from Data (TKDD) (5 ed., vol. 15, pp. 1-52). ACM.
https://dl.acm.org/doi/abs/10.1145/3441299.
Courses
- Introduction to CS
- Mathematical Foundations of Machine Learning
- Fundamentals of Computing
- Mathematical Foundations of Machine Learning
- Fundamentals of Computing