Erisa Terolli (eterolli)

Erisa Terolli

Teaching Assistant Professor

Charles V. Schaefer, Jr. School of Engineering and Science

Department of Computer Science

Education

  • PhD (2018) Sapienza University of Rome (Computer Science)

Research

Data/Graph Mining
Social Computing

Experience

Postdoc Researcher - Max Planck Institute of Informatics (2018 - 2021)
Visiting Research Scholar - Brown University - 2017

Institutional Service

  • ADAPT S-STEM program Member
  • DEI Committee Chair
  • First Generation Low Income Mentorship Program Member
  • SWICS Student Club Advisor Chair
  • 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

Selected Publications

Conference Proceeding

  1. 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.

Journal Article

  1. 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 - Fall 2022, Spring 2022, Fall 2021
- Mathematical Foundations of Machine Learning - Fall 2022, Spring 2022, Fall 2021
- Fundamentals of Computing Spring 2022