معرفی
Iasonas Petras is a Lecturer in the Department of Computer Science at Princeton University, serving as Lead Preceptor for COS 340: Reasoning about Computation and previously for COS 217: Introduction to Programming Systems.
Education
- Ph.D. in Computer Science, Columbia University, 2013
- Master's in Computer Science, Columbia University
- M.Sc. in Mathematical Modeling in Modern Technologies and Economics, National Technical University of Athens
Research Focus
His work centers on quantum algorithms for continuous mathematical problems demonstrating exponential speedups over classical methods, with emphasis on eliminating the "curse of dimensionality" in high-dimensional numerical analysis. Key areas include information-based complexity theory, quantum simulation of physical systems, and tractability of multivariate tensor problems, bridging theoretical computer science and computational mathematics.
Publication Trends
His 10 publications (2005-2019) reveal consistent focus on quantum algorithms for differential equations (Poisson/Schrödinger) and theoretical tractability frameworks. Recent work (2016-2019) emphasizes weak tractability criteria for high-dimensional problems, while earlier contributions (2009-2013) established quantum methods for ground state energy estimation.
Awards
- Excellence in Teaching Award from Princeton University’s Engineering Council and Graduate Engineering Council
Teaching Contributions
Dr. Petras shapes Princeton's core CS curriculum through foundational courses and Matlab instruction, with teaching excellence formally recognized by university engineering councils. His role involves significant pedagogical development beyond standard faculty duties.
