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    This event is organized by CBRC with financial support from the KAUST Office of Sponsored Research

Panos Kalnis

Professor and Chair of the Computer Science program, King Abdullah University of Science and Technology (KAUST).

Biography

In 2009 he was visiting assistant professor in the CS Dept., Stanford University. Before that, he was assistant professor in the CS Dept., National University of Singapore (NUS). In the past he was involved in the designing and testing of VLSI chips and worked in several companies on database designing, e-commerce projects and web applications. He has served as associate editor for the IEEE Transactions on Knowledge and Data Engineering (TKDE) from 2013 to 2015, and on the editorial board of the VLDB Journal from 2013 to 2017. Currently he is on the editorial board of the Data Science and Engineering Journal. He received his Diploma from the Computer Engineering and Informatics Dept., Univ. of Patras, Greece in 1998 and his PhD from the Computer Science Dept., Hong Kong Univ. of Science and Technology (HKUST) in 2002. His research interests include Big Data, Cloud Computing, Parallel and Distributed Systems, Large Graphs and Long Sequences.

All sessions by Panos Kalnis

Biologically-Inspired Optimization Algorithms for View Selection in OLAP
03:45 PM

On-Line Analytical Processing (OLAP) systems provide efficient low level database support for a variety of data analysis, machine learning and knowledge extraction tasks that involve very large datasets.

Panos Kalnis

Professor and Chair of the Computer Science program, King Abdullah University of Science and Technology (KAUST).

Details