Tushar Gautam - Graduate Research Assistant
WEB 3720supervisor Dr. Mike Kirby
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Background
- In 2020, I graduated from Indian Institute of Technology Roorkee, India with Integrated Masters' of Technology in Geophysics. For Masters’ Thesis, I worked on Seismic Velocity Modeling using Deep Convolutional Neural Networks
- 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 Ltd
- A successful academic-cum-research run at IIT Roorkee culminated into a rewarding opportunity as I got the offer to join the Visiting Student Program (virtual due to pandemic) at KAUST where I worked on Tomographic Deconvolution using Deep Neural Networks under the supervision of Prof. Gerard Schuster and was TA for the Machine Learning course, ErSE 290: Machine Learning Methods in Geosciences
Current Responsibilities
- 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
Research Interests
- Physics informed Machine Learning
- Scientific Computing
- Hyper-automation