SUBHASH MISHRA
Dhanbad, July 18: The Applied Geophysics Department of IIT Indian School of Mines (ISM) Dhanbad organized a special session on physics-based machine learning approaches for inverse problems in geophysics for students and faculty members of the institution.
Prof Mrinal Kanti Sen, associate director, Institute of Geophysics, Jackson School of Geosciences, University of Texas at Austin was the chief speaker of this special session and shed light on the subject in detail.
During his talk, Prof Sen spoke about machine learning and inversion, physics-based linear and non-linear inversions, and generative modelling, besides other issues.
An official of the Applied Geophysics Department said that students and faculty members who attended the special session returned satisfied after getting information in detail from the chief speaker.
Prof Mrinal Kanti Sen is an alumnus of the Indian School of Mines Dhanbad (now IIT ISM). He got BSc and MSc degrees in Applied Geophysics in 1977 and 1979.
Prof Sen obtained his PhD degree in theoretical Seismology from the Hawaii Institute of Geophysics.
The IIT ISM official said he holds joint appointments with the Institute of Geophysics (UTIG) and the Department of Geological Sciences (DGS) and has been serving as the head of the Energy Research Division at UTIG since 2016. He has been a pioneer in the field of Seismic Wave Propagation and Inverse Theory Applied to Geophysical Problems.
He has published more than 180 papers and two books and supervised over 50 students. As an author, he is widely held in libraries worldwide and recognized by the Society of Exploration Geophysicists in 2015 for pioneering development and application of Global Optimization methods in Geophysical Inversion.
