precipitation extremes under climate change to intensity-duration-frequency curves relevant for the design of hydraulic infrastructures, develop efficient recovery strategies for damaged critical lifeline networks, rigorously compare methods to examine nonlinear relations among short and noisy data, develop hybrid physics and data science methods for weather and climate extremes, and new machine learning and network science methods for representing and projecting complex space-time and graphical data. His research informs governments, companies, communities, and people in the broad area of climate adaptation and resilient engineering for urban sustainability and rural development with an emphasis on becoming resilient to changes and extreme events. Ganguly's research has been cited in United Nations and US assessment reports, highlighted in commentaries in scientific venues such as Nature, PNAS, NASA Tech Briefs, R&D Magazine, US Department of Energy (DOE), and National Science Foundation (NSF) news, while he and his work have been quoted by global media - including by the New York Times, Newsweek, and the Independent (UK) -in the articles on global warming, weather and hydrological disasters, and infrastructure and rebuilding. The startup he cofounded with his former PhD student has been highlighted by the Wall Street Journal. Books Critical Infrastructures Resilience, with Udit Bhatia and Stephen Flynn, Routledge, 2018 Knowledge Discovery from Sensor Data, Auroop R. Ganguly, Joao Gama, Olufemi A. Omitaomu, Mohamed Gaber, Ranga Raju Vatsavai (editors), CRC Press, 2008 Select publications References External links Dialogue of Civilizations: Climate Change Science and Policy Sustainability and Data Sciences Laboratory, Northeastern University risQ Climate as complex networks Data stream mining Nonlinear Processes in Geophysics: Special Issue Year of birth missing (living people) Living people American hydrologists American people of Indian descent