Speakers Bio & Abstract

Amit Mukherjee Assistant Professor
International Strategic & Security Studies Program School of Conflict & Security Studies
National Institute of Advanced Studies

BiographyDr. Amit Mukherjee is an Assistant Professor in International Strategic and Security Studies Program at the School of Conflict and Security Studies in National Institute of Advanced Studies, Bangalore. He has a Ph.D. in Defence and Strategic Studies from University of Pune, on ‘Application of GIS for India’s Defence: To assess battlefield conditions and its effects on weapons and weapons systems’. His specialization is in Military GIS and application of GIS for traditional and non-traditional areas of National and International Security. Prior to joining NIAS he was previously a Post Doctoral Fellow (PBC Fellowship –Department of Higher Education, Government of Israel) at the National Security Studies Center, University of Haifa, Israel, from 2013-2016, where he is an (Honorary) Research Fellow (2016-2019). He was also an Israel Asia Leaders Fellow (2014-2015), and a visiting fellow at IDSA, New Delhi, 1st October 2016 – 30th June 2017.Abstract Geospatial Intelligence with Fuzzy Logic– Reducing the Fog of WarThe capacity to predict a threat or event with the use of (GIS) methods enables the reduction in the fog of war. These methods can now predict the probability of threat in areas that were traditionally beyond the scope and counter measures of operational and tactical planning. Such measures attempt to predict with heightened accuracy the possibility of an occurrence of an event or activity ranging from ambush positions to location of IEDs. The use of artificial intelligence and learning algorithms has provided clarity to the unknown areas in both homeland security challenges and conventional warfare. Geospatial intelligence is a solution that is derived through the amalgamation of various native and non-native methods in GIS.

The use of fuzzy logic to measure the certainty of a situation that usually dwells in the grey areas of calculation where multiple dependencies usually keep the decision making score away from a finite set of 0 & 1, is one of the few nonnative tools that have successfully incorporated in GIS. It is a provider of indicators for estimating the possible and probable chances of the occurrence of an act, event or incident where usual charts of balances do not provide any indication.