Office: Building 1 - Level 4, 4335-CU04
- Computer networks
- Traffic engineering
- Machine learning
- PhD in Computer Science and Engineer, Hong Kong University of Science and Technology (HKUST), 2017
- MSc in Computers and Information, Assiut University (AUN), 2012
- BSc in Computers and Information, Assiut University (AUN), 2007
Dr. Ahmed Sayed is a Postdoctoral research fellow at ECRC, working with Professor Marco Canini. He is focused on tackling challenging problems related mainly to improve the performance and understanding of machine learning systems and their usage for optimizing and automating computer and network systems.
KAUST is the beacon for innovation and creativity in the middle-east area and they follow the model of HKUST to become a world-wide top-tier leading university in science and technology.
The intersection point between Networked Systems & Machine Learning is a very interesting and at the same time challenging point which will ultimately shape how we build our systems and do networking in the future.