Vasileios Kitsakis

National and Kapodistrian University of Athens

Papers

Total Citations

H-Index

About

Vasileios Kitsakis is a researcher at the forefront of hardware-accelerated artificial intelligence, specializing in the design of high-performance computing architectures for deep learning. His most cited work, "High Performance Accelerator for CNN Applications" (2019, 25 citations), addresses a critical bottleneck in modern AI: the immense computational complexity of convolutional neural networks (CNNs). Kitsakis’s research focuses on bridging the gap between software-driven neural network techniques—widely used in computer vision and natural language processing—and efficient hardware implementations. By developing specialized accelerators, he enables the deployment of accurate, real-time AI systems on resource-constrained platforms. His contributions are pivotal for advancing edge computing and embedded AI, where low latency and energy efficiency are paramount. With a growing citation impact, Kitsakis is recognized for translating algorithmic advances into practical, high-speed hardware solutions, making him a key figure in the evolution of next-generation intelligent systems.