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Ingrid Russell

Ingrid Russell headshot

Professor

Computing Sciences

College of Engineering, Technology, and Architecture
860.768.4191 Dana Hall 343
Education

MPhil Yale University

MS Rensselaer Polytechnic Institute

BA American University of Beirut

Note: This faculty member will be on sabbatical for both Fall 2025 and Spring 2026. During a sabbatical, faculty may not be available to support students or conduct other University business.

Ingrid Russell is Professor of Computer Science at the University of Hartford. She served as an Associate Dean in the College of Arts and Sciences between 1995 and 1998. Her research interests are in the areas of machine learning, data and web mining, pattern recognition, and computer science education. Her work has been funded by the National Science Foundation (NSF), NASA, and the Connecticut Space Grant Consortium. Currently, she is working on project MLeXAI, funded by an NSF grant. Russell has worked in several consulting capacities including software development, research and development, and educational consulting. Russell has published several journal and conference papers. She serves as an associate editor of the International Journal on Artificial Intelligence Tools, is a member of the editorial board of the International Journal of Intelligent Systems, and has served in editorial capacities for several conference proceedings and journal special issues.

In 2006, Russell was among 15 “CRA-W Distinguished Professors”, named by the Computing Research Association's Committee on the Status of Women in Computing Research (CRA-W). She was a finalist for the 2006 Women of Innovation award in the Academic Innovation and Leadership category, sponsored by the Connecticut Technology Council. She is the recipient of a Yale Prize Teaching Fellowship, a NASA Fellowship, and a CCSCNE Service Award. Russell has served on several NSF review panels and on advisory boards of NSF-funded projects. In addition, she has done extensive work in the area of computer science education and curriculum. She served as chair of the "Intelligent Systems Focus Group" and as a member of the "Computing Core Focus Group" of the IEEE-CS/ACM Task Force on Computing Curricula 2001.

Russell has served on the boards of several computing organizations. She served on the Board of Directors of the Association for Computing Machinery’s Special Interest Group on Computer Science Education, as Vice President of the Florida Artificial Intelligence Research Society, and as President of the Consortium for Computing Sciences in Colleges. She is a member of AAAI, FLAIRS, ACM/SIGCSE, IEEE Computer Society, and the Consortium for Computing Sciences in Colleges (CCSC). She is a founding member and first president of the Northeastern region of CCSC and since its founding has served as a member of its board of directors.

  • Yale Prize Teaching Fellow
  • NASA Fellow
  • FLAIRS Douglas D. Dankel Award
  • Consortium for Computing Sciences (CCSC) Distinguished Service Award

Artificial Intelligence, Machine Learning, Data Mining, Computer Science Education

  • Russell, I., Md Tayeen, A.S., Markov, Zdravko, “Infusing Artificial Intelligence Concepts into Introductory Computing Courses”, Journal of Computing Sciences in Colleges, November, 2025. 

  • Spaulding, D., Kennedy, J., Russell, I., Kurkovsky, S., “Improving the Transfer Pipeline Through STEM Scholarships: Is it More Than Just the Money?”, Journal of Computer Applications in Engineering Education. March 2025.

 

  • Russell, I., Islam, S., Eberle, W., Talbert, D., Hasan, M., (eds) Explainability, Bias, and Trust in AI Systems, Special Issue of the International Journal on Artificial Intelligence Tools (IJAIT), World Scientific Press, Vol 33, No. 3, May 2024.

  • Islam S., Russell, I., Eberle, W., Talbert, D., Hasan, M. “Advances in Explainable, Fair, and Trustworthy AI.” Special Issue of the International Journal on Artificial Intelligence Tools, Vol. 33, No. 3, 2024.

 

  • D’Urso, B., Islam, S., Sarker, K., Russell, I. “Severe Weather Forecasting via Sole Use of Satellite Data”, Proceedings of the 37thInternational FLAIRS AI Conference, May 19, 2024.

  • Islam, S., Russell, I., Gupta, M., “Incorporating the Concept of Bias and Fairness in Cybersecurity Curricular Module”, abstract in Proceedings of the Association for Computing Machinery (ACM) Special Interest Group on Computer Science Education (SIGCSE) Annual Conference, ACM Press and ACM Digital Library, March 2023.

  • Islam S., Russell, I., Eberle, W., Dichev, D., “Infusing a Fairness Module for Fair Automated Decisions in an Undergraduate Computer Science Course”, Journal of ComputingSciences in Colleges, April 2022.

  • Goolsby, T., Islam, S., Russell, I., “Advancing Fairness in Public Funding Using Domain Knowledge”, Proceedings of the AAAI 2022 Spring Symposium on “How Fair is Fair? Achieving Wellbeing AI.”, March 2022.
  • Islam, S., Russell, I., Eberle, W., Dicheva, D., “Incorporating the Concepts of Fairness and Bias into Undergraduate Computer Science Courses”, abstract in Proceedings of the Association for Computing Machinery (ACM) Special Interest Group on Computer Science Education (SIGCSE) Annual Conference, ACM Press and ACM Digital Library, March 2022. 
  • Duan, Z., Russell, I., Jung A., “Active Learning Strategies: A Computing Course for Undergraduates”, in Proceedings of the 16thInternational Conference on Computer Science and Education, August 2021.