Pankaj Agarwal is Chair and RJR Nabisco Professor of Computer Science at Duke University. He is a lead authority on geometric computing and its applications to various fields, including GIS, ecological modeling, spatial databases, and robotics. An ACM Fellow and a Sloan Fellow, he has authored four books and more than 275 scientific papers, and he serves on the editorial boards of many journals.
Giuseppe Italiano is Professor of Computer Science and Chair of the Department of Computer Science, Systems and Production at University of Rome "Tor Vergata". He is also the Editor-in-Chief of the ACM Journal of Experimental Algorithmics. He has published more than 150 scientific papers on theoretical as well as applied algorithmic problems.
Ian Munro is University Professor and Canada Research Chair in Algorithms Design in the School of Computer Science at the University of Waterloo. His research is in the area of algorithms and data structures, most notably on space efficient computation. He has published more than 150 scientific papers in this field, as well as on their application in areas such as bioinfomatics, database systems and data warehousing. He is a Fellow of the Royal Society of Canada and of the ACM.
Muthu Muthukrishnan is a Research Scientist at Google New York, on leave from a Professor of Computer Science position at Rutgers University where he heads up the Massive Data Analysis Lab. He is a main force in the area of streaming algorithms and their application is e.g. database systems. He has published more than 200 scientific papers.
Peter Sanders is a Professor of Computer Science at Karlsruhe University and a main force in the area of algorithm engineering. He is e.g. heading up a major 9 Million Euro Deutche Forschungsgemeinschaft priority program on algorithm engineering, which includes 21 groups at major German universities. Much of his works concerns processing massive data sets (e.g., graphs, text) on memory hierarchies and in parallel. He has published around 100 scientific papers in journals and conference papers.
Jeff Vitter is Provost and Executive vice chancellor and Professor in the Department of Electrical Engineering and Computer Science at The University of Kansas. In a 1988 paper with Aggarwal, he effectively founded the area of I/O-efficient algorithms; for a number of years he has been the main authority in the area. He has published over 250 scientific papers on the design and analysis of algorithms, in particular involving massive data, databases, data compression, compressed data structures, randomized algorithms, and machine learning. He is a Fulbright Scholar and a Fellow of the ACM, IEEE, and Guggenheim Foundation.