Prabhat Koner joined CICS-MD in September of 2010. He is currently involved in physical Sea Surface Temperature (SST) retrieval and cloud detection algorithm development projects for the Geo-stationary radiometric measurement (namely GOES, MSG & MTSAT imagers) as well as optimal interpolated global SST distribution from the retrieved SST of the Geo-stationary and polar satellites.
Dr. Koner received his PhD degree in Energy Engineering from IIT, Delhi. His thesis work involved the design and optimization of solar photovoltaic (SPV) arrays for water pumping in addition to a detailed socio/techno economic analysis and analog and digital electronics controller. He has worked as a postdoctoral fellow at the European Union Joint research Centre, Italy, and Queensland University of Technology, Australia on data analysis, instrument development and quality issues of Electrical grid systems. However, in the last seven years he has been actively involved in the field of satellite remote sensing retrievals.
He worked at University of Toronto, Canada, where he develops a new algorithm for remote sensing hyper-spectral retrievals using Fourier transform Infrared (FTIR) measurements. The advantage of the technique he developed is that the retrievals contain low noise with high information contents compared to conventional retrievals algorithms and does not required a-priori information. Subsequently, he has worked at University of Bonn, Germany on rainfall retrievals from space based attenuated radar measurement, and Dalhousie University, Canada, on the retrieval algorithm for the FTIR instrument to the forthcoming NASA /ESA Mars Science Orbiter mission, where he has shown a number of pitfalls of the popular statistical retrieval methods and established the possibility of unique mathematical solutions for satellite based hyper spectral measurements.