Staff Catalogue

CHRYSSIS GEORGIOU

GEORGIOU CHRYSSIS
22892745
...
PROFESSOR
Department of Computer Science
FST 01 - Faculty of Pure and Applied Sciences, 016
University Campus

Chryssis Georgiou is a Professor at the Department of Computer Science of the University of Cyprus. He holds a Ph.D. (December 2003) and M.Sc. (May 2002) in Computer Science and Engineering from the University of Connecticut and a B.Sc. (June 1998) in Mathematics from the University of Cyprus. His research interests span the Theory and Practice of Fault-tolerant Distributed and Parallel Computing with a focus on Algorithms and Complexity. He has published more than 100 refereed articles in international journals and conference proceedings in his area of study and he has co-authored two books on Distributed Fault-tolerant Cooperative Computing. In August 2021 he co-edited a book on the Principles of Blockchain Systems. He has served on the Program Committees of top conferences in Distributed Computing as well as on the Steering Committees of the International Symposium on Distributed Computing-DISC (2008-2010, 2010-2012) and the ACM Symposium on the Principles of Distributed Computing-PODC (2013-2015). In 2015 he served as the General Chair of PODC 2015, in 2017 he served as the Track Program Committee co-Chair (Stabilizing Systems: Theory and Practice Track) of SSS 2017, and in 2018 he served as the General co-Chair and PC co-Chair of the workshop ApPLIED 2018. In 2019, 2021 and 2022, he served as the General co-Chair of ApPLIED 2019, 2021 and 2022. In addition, in 2020 he served as the PC co-Chair of NETYS 2020. Dr. Georgiou was recently elected to serve a three-year term as the Steering Committee Chair of ACM PODC (2021-2024). As of January 2018, he is on the Editorial Board of Information Processing Letters (subject area: Distributed Computing). His research has been funded by the University of Cyprus, the Cyprus Research and Innovation Foundation, and the European Commission.  See personal page for more information. 

Algorithms and Complexity, Parallel and Distributed Computing, Fault-tolerance and Dependability, Algorithmic Mechanism Design, and Machine Learning.