Panagiotis Kalnis
- Professor, Computer Science
- Principal Investigator, InfoCloud
Professor Panos Kalnis is a leading researcher in big data, cloud computing, parallel and distributed systems and computing privacy for data mining and bioinformatics.
Biography
Panos Kalnis is a professor of Computer Science at KAUST. He served as chair of the University’s Computer Science program from 2014 to 2018. In 2009, Kalnis was on sabbatical at Stanford University in the United States. Before that, he was an assistant professor at the National University of Singapore.
Earlier in his career, Kalnis was involved in designing and testing very-large-scale integration (VLSI) chips at the Computer Technology Institute in Greece. He has also worked for several companies on database design, e-commerce projects, and web applications.
Kalnis received his diploma in computer engineering in 1998 from the University of Patras in Greece and his Ph.D. in 2002 from the Hong Kong University of Science and Technology (HKUST).
Kalnis served as an associate editor for the IEEE Transactions on Knowledge and Data Engineering from 2013 to 2015 and was on the editorial board of the International Journal on Very Large Data Bases from 2013 to 2017.
Research Interests
Kalnis' research interests include big data, cloud computing, parallel and distributed systems, large graphs, systems for machine learning. Furthermore, he is interested in computing privacy in order to advance in the fields of data mining, knowledge extraction, security and bioinformatics.
Professional Memberships
- PC Member, International Conference on Data Warehousing and Knowledge Discovery (DaWaK), 2003
- PC Member, International Workshop on Database Management (DMDM), 2003
- PC Member, Web Search (WebS), 2006
- PC Member, International Conference on Database Systems for Advanced Applications (DASFAA), 2006
- PC Member, International Conference on Data Warehousing and Knowledge Discovery (DaWaK), 2006
- PC Member, International Workshop on Data Engineering Issues in E-Commerce and Services (DEECS), 2006
- PC Member, Brazilian Symposium on Databases (SBBD), 2006
- PC Member, ACM International Workshop on Data Warehousing and OLAP (DOLAP), 2006
- PC Member, International Conference on Database Systems for Advanced Applications (DASFAA), 2007
- PC Member, Asia-Pacific Web Conference/Web-Age Information Management (APWeb/WAIM), 2007
- PC Member, Symposium on Spatial and Temporal Databases (SSTD), 2007
- PC Member, IEEE International Conference on Data Engineering (ICDE), 2007
- PC Member, International Conference on Very Large Data Bases (VLDB), 2010
- Reviewer, ACM-TODS, 2024
- Reviewer, IEEE-TKDE, 2024
- Reviewer, VLDB Journal, 2024
- Reviewer, IEEE-TC, 2024
- Reviewer, JPDC, 2024
- Reviewer, DKE, 2024
- Reviewer, IPL, 2024
- Reviewer, JCMSE, 2024
- Reviewer, COMNET, 2024
Education
- Master of Science (M.S.)
- Computer Engineering, University Of Patras, Greece, 1997
- Bachelor of Science (B.S.)
- Computer Engineering, University Of Patras, Greece, 1997
Quote
Data is at the foundation of today's human progress. My goal is to design the most practical tools to allow scientific advancement in security and healthcare.
Questions and Answers
Why KAUST?
KAUST offers a world-class scientific environment that provides exceptional support, expertise and inspiration for my research projects. The state-of-the-art facilities and resources are unmatched, enabling the seamless translation of theory into practical, impactful solutions.
Why infocloud?
Mobile data is the fuel of the Internet of Everything (IoE) society, necessitating fast, reliable, and efficient technological and computational infrastructures for data processing. Kalnis' research advances the fields of database outsourcing, cloud computing, mobile computing, peer-to-peer networks, OLAP, data warehouses, spatial-temporal and high-dimensional databases, as well as geographic information systems, with a focus on security and privacy.