Biography

Alexandros Koliousis is a Professor of Computer Science at Northeastern University London; a Turing Fellow of the Alan Turing Institute; and a Senior Faculty Research Scientist at the Institute for Experiential AI. Koliousis is also affiliated with the Khoury College of Computer Sciences at Northeastern University. Koliousis was the inaugural Faculty Director of Computing, Mathematics, Engineering & Natural Sciences (2023–2025).

Before joining Northeastern’s London affiliate, Koliousis held an industry research position at the semiconductor company Graphcore and academic positions at the Imperial College London and the University of Glasgow. He earned his doctoral degree in computing science and his Master of Science in advanced computing science from the School of Computing Science at the University of Glasgow.

Alexandros’s research interests lie at the intersection of computer systems and machine learning. He is working on responsible AI systems. In the past, has worked on the design and implementation of high-performance data-parallel multi-GPU processing systems in the areas of deep learning and data stream processing. He has also researched topics including efficient natural language processing in hardware, complex event processing for home network management, and routing systems for wireless sensor networks.

Visit akoliousis.com for more details.

Qualifications

Alexandros received his PhD (Computing Science, 2010) and MSc (Advanced Computing Science, 2005) degrees from the School of Computing Science at the University of Glasgow.

He received his undergraduate degree (Computer Engineering, 2003) from the Alexander Technological Educational Institute of Thessaloniki, Greece.

Research

Alexandros’s research interests lie at the intersection of scalable data systems and deep learning. He has worked on the design and implementation of data-parallel processing systems that best utilise hardware accelerators with applications to deep learning (Crossbow, 2019) and data streaming (Saber, 2016).

He has also worked on complex event processing for home network management; and routing algorithms for wireless sensor networks, among other topics.orum.

Selected publications

A. Koliousis, P. Watcharapichat, M. Weidlich, L. Mai, P. Costa, and P. Pietzuch • Crossbow: Scaling deep learning with small batch sizes on multi-GPU servers • Proc. VLDB Endow. 12, 11 • 2019 • DOI

A. Koliousis, M. Weildich, R. C. Fernandez, A. Wolf, P. Costa, and P. Pietzuch • Saber: Window-based hybrid stream processing for heterogeneous architectures • Proceedings of the 2016 ACM SIGMOD Conference on Management of Data • 2016 • DOI

A complete list of publications is available here.