I am Tushar Gautam, a graduate of Indian Institute of Technology Roorkee, India, with a masters’ degree in Geophysics and love for computers. I’m currently a Graduate Research Assistant at Scientific Computing and Imaging Institute and pursuing PhD in Computing at the University of Utah.

Contact email: [first_name].[last_name][at]utah.edu

At IIT Roorkee, 2015-2020

For my Masters’ Thesis, I worked on Seismic Velocity Modeling using Deep Convolutional Neural Networks.

  • I used Finite Difference Modeling to generate large amounts on synthetic seismic data for training the Machine Learning Algorithm.
  • The trained algorithm then predicted subsurface velocity models using raw seismic traces.

At Optic Earth, 2019-2020

  • In my final year at IIT Roorkee, I also worked with a U.K. based Start-up company named Optic Earth.
  • During my time there, I worked on building an AI powered Subsurface Imaging Software stack for Norway based Neptune Energy.

At KAUST, 2020-2021

A successful academic-cum-research run at IIT Roorkee culminated into a rewarding opportunity as I got the offer to join the Visiting Student Programme (virtual due to pandemic) at KAUST.

  • I worked on Tomographic Deconvolution using Deep Neural Networks.
  • I was a TA for the Machine Learning course, ErSE 290: Machine Learning Methods in geosciences.

At University of Utah, 2021-present

  • Pursuing PhD in Computing (Scientific Computing).
  • Research Assistant at Scientific Computing and Imaging Institute.
  • Applying Machine Learning methods to problems in Fracture Mechanics
  • Understanding and explaining Machine Learning methods from an engineer/mathematician’s point of view
  • Exploring the concept of data-driven physics-based Digital Twin
  • For more Details please visit this webpage.

Research Interests: Physics informed Machine Learning, Scientific Computing, Hyper-automation