Anastasios Kyrillidis

Anastasios Kyrillidis (nicknamed 'Tasos') is the Noah Harding Associate Professor in the Department of Computer Science at Rice University. He was previously a Goldstine PostDoctoral Fellow at IBM T.J. Watson Research Center and a Simons Foundation PostDoc at the University of Texas at Austin, completing his PhD at EPFL in Switzerland.

His research spans optimization for machine learning, convex/non-convex algorithms, efficient large-scale optimization (including budgeted optimization), and quantum computing fundamentals. He emphasizes mathematical rigor in algorithm design, focusing on methods diverging from traditional optimizers.

His scientific contributions are supported by grants from the NSF (CAREER, FET, MLWiNS, CMMI), Welch Foundation, Amazon, Microsoft, and Rice University's InterDisciplinary Excellence Award (IDEA). He collaborates closely with Intel on applied projects.

Key honors include the NSF CAREER award, Amazon Research Award, and Microsoft Research Award. He teaches advanced optimization courses like COMP 545 and COMP 414/514, with notes on quantum computing and optimization algorithms.

• University: Rice University
• Department: Computer Science
• Academic Rank: Associate Professor
• Collaboration: Intel