Meisam Razaviyayn

Meisam Razaviyayn is an Associate Professor at the University of Southern California, holding appointments in Industrial and Systems Engineering, Electrical and Computer Engineering, Quantitative and Computational Biology, and Computer Science. He serves as Associate Director of the USC-Meta Center for Research and Education in AI and Learning and is a Faculty Visitor at Google Research. His research focuses on optimization algorithms for modern data science, with emphasis on differential privacy, fairness in machine learning, and robust optimization frameworks.

• Recipients of multiple prestigious awards including NSF CAREER, AFOSR YIP, and 3M NTFA
• Principal investigator for grants from NSF, Google Research, Amazon, and AFOSR
• Advisor to PhD students Tianjian Huang and Ali Ghafelebashi, both of whom have completed their degrees

Recent publications address differentially private optimization, fair learning, and efficient algorithm design for large-scale systems, with applications in language models, transportation, and diffusion models. His work has appeared in top venues like NeurIPS, ICML, and IEEE Transactions on Signal Processing.