Theologos Anthimopoulos is a Ph.D. Candidate in the field of Computer Engineering at Aristotle University of Thessaloniki. He specializes in compiler optimizations for high-performance and AI-driven computing systems. Passionate about leveraging Machine Learning and Artificial Intelligence to address real-world challenges, his research focuses on MLIR compiler transformations, tensor contractions, and DNN acceleration. His experience in hardware-software co-design, embedded software optimization, and heterogeneous computing, aims to bridge the gap between algorithmic innovation and efficient execution.
As an IKY-Fulbright Visiting Research Student at Northeastern University, and under the supervision of Professor David R. Kaeli, Theologos will further advance his research on compiler optimizations for accelerating AI workloads on heterogeneous architectures, contributing to sustainable and energy-efficient computing solutions.
Theologos Anthimopoulos
Aristotle University of Thessaloniki
Northeastern University, Boston, Massachusetts
Artificial Intelligence