Wallenberg Guest Professor and world leading expert in Artificial Intelligence for Data Management. EurAI Fellow 2015, ACM Fellow 2019. Received AAAI Classic Paper Award 2021.
Diego Calvanese is a Wallenberg Guest Professor in Artificial Intelligence for Data Management at the Department of Computing Science of Umeå University. Hence, he is part-time in Umeå and for the rest he works at the Free University of Bozen-Bolzano (Italy). He received a Ph.D. from Sapienza University of Rome in 1996. His research interests include formalisms for knowledge representation and reasoning, virtual knowledge graphs for data access and integration, description logics, Semantic Web, graph data management, data-aware process verification, and service modeling and synthesis. He has been actively involved in several national and international research projects in the above areas (including FP6-7603 TONES, FP7-257593 ACSI, FP7-318338 Optique, H2020-863410 INODE). He is the author of more than 350 refereed publications, including ones in the most prestigious international journals and conferences in Databases and Artificial Intelligence, with 33000 citations and an h-index of 71, according to Google Scholar. He is one of the editors of the Description Logic Handbook. He has served in more than 150 organization and program committee roles for international events, and he is/has been an associate editor of Artificial Intelligence, JAIR, and a member of the editorial board of the Journal of Automated Reasoning. He has been the program chair of the 34th ACM Symposium on Principles of Database Systems (PODS 2015), the general chair of the 28th European Summer School in Logic, Language and Information (ESSLLI 2016), and a program co-chair of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020). He has been nominated EurAI Fellow in 2015 and ACM Fellow in 2019, and in 2021 he received the AAAI Classic Paper Award. He is a co-founder of the startup Ontopic (Italy), which delivers solutions and services for the management of virtual knowledge graphs.