Mihaela Sabin headshot

Mihaela Sabin

PROFESSOR
Phone: (603) 641-4144
Office: Applied Engineering & Sciences, 88 Commercial Street, M 121, Pandora Bldg, Manchester, NH 03101
Websites:

Mihaela Sabin has taught a variety of computing courses designed to facilitate learning activities that value students' diverse lived experiences. Her current research includes computing education and curriculum development, with emphasis on professional competencies and faculty role modeling. She has contributed to the AI field of constraint satisfaction with a new representational model based on conditional constraints. Sabin chaired the ACM/IEEE Computer Society IT2017 task group, who authored the “Curriculum Guidelines for Baccalaureate Degree Programs in Information Technology” report. She received external funding awards from the National Science Foundation, New Hampshire Innovation Research Center, Google for Education, and other private and corporate foundations for projects that support computing learning by students and teachers. Sabin serves on the ACM Education Board and on the ACM SIGITE Executive Committee as Vice-Chair for Education. She also represents SIGITE on the ACM Education Advisory Committee. She is a founding member of the Computer Science Teacher Association NH Chapter and of the CS4NH alliance. Sabin is an ABET Program Evaluator, a member of the ABET CS Accreditation Board, and a member of the ABET CAC/CSAB Diversity, Equity, and Inclusion committee. Sabin's top priority professionally and personally is to bring the quality of human being into computing as a discipline, program of study, and profession. <br><br>Dr. Sabin has an MS in Computer Science from “Politehnica” University in Bucharest, Romania, and an MS for Teachers in College Teaching and PhD in Computer Science from UNH.

Courses Taught

  • COMP 424: Applied Computing 1
  • COMP 525: Data Structures Fundamentals
  • COMP 730/830: Software Development
  • COMP 741: Practical AI
  • COMP 741/841: Practical AI
  • COMP 801: Integrated Computing Practice
  • COMP 841: Practical AI
  • COMP 880: Top/Integrated Practicum
  • COMP 898/899: Master's Project
  • COMP/GRAD 898/899/900: Master's Project
  • COMP/GRAD 898/900: Master's Project
  • GRAD 900: Master's Continuing Research

Education

  • Ph.D., Computer Science, University of New Hampshire
  • M.S., Computer Science, Politehnica University of Bucharest
  • M.S.T., University of New Hampshire
  • B.S., Computer Science, Politehnica University of Bucharest

Research Interests

  • Artificial Intelligence
  • Computing Education
  • Constraint Satisfaction
  • Curriculum Design
  • Open Source Software
  • Educational equity

Selected Publications

  • Kumar, A. N., MacKellar, B. K., McCauley, R., & Sabin, M. (2025). A Quantitative Study of Dispositions in Terms of Behaviors. In Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1 (pp. 277-283). ACM. doi:10.1145/3724363.3729026

  • Sabin, M., Barr, M., Clear, T., & Raj, R. K. (2025). Preparing Professionally Competent Computing Graduates: The Role of Work Experiences. In Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2 (pp. 707-708). ACM. doi:10.1145/3724389.3730764

  • Sabin, M., Kumar, A. N., MacKellar, B. K., McCauley, R., VanDeGrift, T., & Matsumoto, S. (2025). The Self-Directed Disposition: What Computing Students Say. In Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1 (pp. 107-113). ACM. doi:10.1145/3724363.3729114

  • Kurkovsky, S., Raj, R. K., Sabin, M., & Aly, S. G. (2025). Reflecting the Evolving Landscape of Computing in ABET Program Accreditation Criteria. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2 (pp. 1722). ACM. doi:10.1145/3641555.3705106

  • Exter, M., Yakut, N., Sabin, M., Tagare, D., & Ashby, I. (2024). Work in Progress: Importance of Dispositions on the Job: Survey of Computing Professionals. In 2024 IEEE Frontiers in Education Conference (FIE) (pp. 1-5). IEEE. doi:10.1109/fie61694.2024.10893432

  • Jin, K. H., Eglowstein, H., & Sabin, M. (2018). Using Physical Computing Projects in Teaching Introductory Programming. In Unknown Conference (pp. 155). doi:10.1145/3241815.3241879

  • Frezza, S., Pears, A., Daniels, M., Kann, V., Kapoor, A., McDermott, R., . . . Cajander, Å. (2018). Modeling global competencies for computing education. In Unknown Conference (pp. 348-349). doi:10.1145/3197091.3205844

  • Impagliazzo, J., Sabin, M., Alrumaih, H., & Viola, B. (2016). An Information Technology Competency Model and Curriculum. In Unknown Conference (pp. 892-895). doi:10.1109/educon.2016.7474657

  • MacKellar, B. K., Sabin, M., Tucker, A. B., & Yu, L. (2014). Bridging the Academia-Industry Gap in Software Engineering: A Client-Oriented Open Source Software Projects Course. In OVERCOMING CHALLENGES IN SOFTWARE ENGINEERING EDUCATION: DELIVERING NON-TECHNICAL KNOWLEDGE AND SKILLS (pp. 373-396). doi:10.4018/978-1-4666-5800-4.ch019

  • Sabin, M., Bakman, A., Freuder, E. C., & Russell, R. D. (1999). A constraint-based approach to fault management for groupware services. In Unknown Conference (pp. 731-744). doi:10.1109/inm.1999.770719

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  • Most Cited Publications