Panagiotis (Panos) Karras interests are in the confluence of data management, data mining, and database security. He earned a Ph.D. in Computer Science from the University of Hong Kong and an M. Eng. in Electrical and Computer Engineering from the National Technical University of Athens. Panos has also held positions at Rutgers Business School, the National University of Singapore, the University of Zurich, and the Technical University of Denmark. Panos’ work has introduced algorithms and systems that allow for the satisfaction of efficiency, accuracy, privacy, integrity, and adaptability requirements in data representation and querying. He has developed methods that achieve optimal synopsis construction in low polynomial time, novel privacy models and algorithms for efficient data anonymization under those models, techniques for query authentication over data streams and query answering over encrypted data, robust and reliable adaptive indexing for modern main-memory column-stores, scalable similarity search over time series data bases, novel spatial join variants and techniques for in-memory spatial joins, and systems for scalable RDF data indexing. Last, he is working on parallel algorithms for graph management problems. Panos has published over 40 research articles and received over 900 citations. His research has been funded by Singapore’s Lee Kuan Yew Endowment and awarded with the 2008 Hong Kong Young Scientist Award in Physical/Mathematical Science. He has served as a program committee member and referee for the major international conferences and journals in the above areas.