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.
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.
