معرفی
Amin Saberi is a Professor of Management Science and Engineering at Stanford University and Director of the Stanford Center for Computational Market Design. He earned his BSc from Sharif University of Technology and PhD in Computer Science from Georgia Institute of Technology.
- Research Interests: Design and analysis of algorithms, social networks, market design, and applications in economics and optimization.
- Key Contributions: His work spans online algorithms, stochastic optimization, and matching theory, with applications in ride-hailing, social learning platforms, and resource allocation.
Recent Article Trends: Saberi’s recent research focuses on adaptive approximation schemes for matching queues, prophet inequalities in stochastic matching, and locality-aware graph rewiring in GNNs. His work bridges theoretical insights with practical applications in market design and computational economics.
- Scientific Awards: Terman Fellowship, Sloan Fellowship, Best Paper Awards at FOCS (2009), SODA (2010), WINE (2017), and Test of Time Award at ACM EC (2021).
Advising & Collaborations: Saberi has advised numerous graduate students and postdocs, many of whom hold faculty or industry leadership roles. He co-founded NovoEd, a social learning platform, and has organized programs at mathematical optimization institutes.
