About Dr Alexandros Koliousis
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.
Dr Alexandros Koliousis's 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.
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.
Dr Alexandros Koliousis's Teaching
Alexandros is the Director of Graduate Studies in Computer and Data Science. He is teaching BA, MA and MSc courses on data and computer science. More information on teaching is available here.
He is always interested in supervising final year and Master’s projects related to his research.
Academic year 2020–2021
Course Leader • Foundations of Data Science • Level 4