Gloria Bordogna

Gloria Bordogna
Senior Research Scientist
National Research Council of Italy, Institute of Remote Sensing, Italy

Biography

Gloria Bordogna received the Laurea degree in Physics from the University of Milano in 1984. Currently holds the position of senior research scientist within the National Research Council of Italy (CNR) Institute for the Dynamics of Environmental Processes (IDPA). From 2003 to 2010, she was adjunct professor of Information Retrieval and Geographic Information Systems at the Faculty of Engineering of Bergamo University. She is in the editorial board of ACM SIGAPP – Applied Computing Review and of the Scientific World Journal . She was a project reviewer of several national research agencies such as the Research Foundation of Flanders (FWO), from 2008 - 2013, the European Research Council Executive Agency (ERCEA peer reviewer for the “Ideas Specific Program, PE5 and PE7 - Information and Communication Science, ERC Council Starting Grants” during 2007 and 2010-2013, the French National Research Agency (ANR) and the Swiss National Science Foundation (NSF) in 2013. She also served in the program committee of international conferences such as ACM SAC, where she co-organizes the special track on Information Access and Retrieval since 2008, ACM SIGIR and ACM ECIR, IEEE ACM WI, KES, WWW, and a reviewer for several international journals such as IEEE Trans. on Fuzzy Systems, IEEE Trans. on Sys. Man & Cyb., Fuzzy Sets & Systems, Information Processing & Management, Journal of the American Society for Information Science and Technology, Journal of Geographic Information Systems.

Research Interest

Her research interests focus on fuzzy logic and soft computing for the management of imprecision and uncertainty of textual and geographic information, multimedia information retrieval models, Flexible Query Languages for Information Retrieval Systems and Data Base Management Systems, Decision making for Environmental applications. Her current research is in the field of Web information mining and retrieval, environmental knowledge management, and multisource geographic information fusion