Yehia Elkhatib

Yehia Elkhatib is a Reader (Associate Professor) in Computing Science at the University of Glasgow, where he leads research in distributed systems that traverse infrastructural boundaries. His work focuses on developing data-driven approaches to improve performance and programmability of distributed systems, with particular emphasis on cloud interoperability, intent-driven networking, systems of systems composition, and edge computing.

Dr. Elkhatib earned his PhD in Network Measurement & Grid Computing from Lancaster University in 2011, following an MSc with Distinction in Networking and Internet Systems from the same institution. His academic journey demonstrates a consistent focus on network systems and distributed computing.

His research interests center on developing data-driven solutions to optimize complex systems, with particular emphasis on addressing resource utilization challenges from a user-centric perspective. His work spans decision-support systems for cost-effective cloud deployment, memory-aware ML scheduling to reduce training errors and GPU resource requirements, energy-efficient scheduling of scientific workflows, enabling seamless interoperability between services, developing systems of systems in IoT environments, designing intent-driven network architectures, and caching in information-centric networks.

Analysis of his recent publications reveals a strong focus on sustainability in computing, with multiple papers on energy efficiency, carbon footprint estimation, and carbon-aware execution of scientific workflows. His research also shows significant contributions to IoT systems, cloud computing, and quality of experience in multimedia systems, demonstrating a diverse yet cohesive research portfolio addressing critical challenges in distributed computing.

Dr. Elkhatib has secured substantial research funding including AI4ME (EPSRC) £3.8m, ABC (EPSRC) £775k, and DIONASYS (CHIST-ERA) €1.03m, demonstrating the significance and impact of his research. He actively supervises PhD students working on cutting-edge topics including DNS infrastructure placement, memory-aware scheduling, and carbon-aware execution of scientific workflows.

His teaching responsibilities include Cloud Systems, Systems Programming, Advanced Programming, Building Big Data Systems, Distributed Systems, and Data Science Fundamentals, reflecting his expertise across multiple domains of computing science. His office is located in The Sir Alwyn Williams Building, room 322a at the University of Glasgow.