Hedyeh Beyhaghi

Hedyeh Beyhaghi is an Assistant Professor in the Department of Computer Science at the University of Massachusetts Amherst, affiliated with the Manning College of Information and Computer Sciences. She holds a PhD in Computer Science from Cornell University and completed postdoctoral research at the Toyota Technological Institute at Chicago, Northwestern University, and Carnegie Mellon University.

Research Interests: Her work focuses on algorithmic game theory, mechanism design, machine learning theory, and algorithms under uncertainty. She investigates strategic agent behavior, fairness in algorithmic systems, revenue maximization in auctions, and optimization under stochastic constraints.

Recent Publications address topics like the Strategic Perceptron, Pandora’s Box Problem, and Fair Incentive Design, reflecting trends in strategic learning, multi-agent optimization, and fairness-aware algorithms. These studies often intersect economics, machine learning, and theoretical computer science.

Teaching: She teaches COMPSCI 611 - Advanced Algorithms, covering randomized algorithms, approximation techniques, and computational complexity. Weekly quizzes and biweekly assignments emphasize collaboration policies and academic integrity in algorithm design.

PhD Advisee: Amirmahdi Mirfakhar. No scientific awards are currently documented.