Aditya Srivastava
Graduate Research Assistant at Department of Geology & Geophysics, University of Wyoming
Graduate Research Assistant at Department of Geology & Geophysics, University of Wyoming
Master of Science in Geophysics
University of Wyoming, August 2024 – Present
I have joined the Department of Geology & Geophysics at the University of Wyoming under the esteemed supervision of Professor Subhashis Mallick. I am honored to be a recipient of the Distinguished Graduate Scholars Program fellowship, which supports my research and provides full insurance coverage. My research focuses on Rock Physics and Seismic Inversion, using Machine Learning techniques to advance geophysical understanding.
Skills: Rock Physics, Seismic Inversion, Machine Learning, teaching, data analysis, programming (Python, C).
Teaching Assistant,
"Introductory Physical Geography"
University of Wyoming, August 2024 – Present
In addition to my research, I serve as a Teaching Assistant for the Fall 2024 course, GEOG-1010-40. I lead lab sessions, assist with grading, and foster an interactive learning environment to deepen students' understanding of physical geography concepts.
"Introduction to Physical Geology (GEOG-1100)" University of Wyoming, Jan 2025 - April 2025 (Contact: Dr. Erin Klauk, eklauk@uwyo.edu).
"Principal of Geophysics (GEOG-3005-01)" University of Wyoming, August 2025 - December 2025 (Contact: Dr.Subhashis Mallick, smallick@uwyo.edu)
"Introduction to Physical Geology (GEOG-1100)" University of Wyoming, Jan 2026 - Present (Contact: Dr. Kenneth Warren Sims, ksims7@uwyo.edu)
Master of Science (Tech.) in Geophysics
Banaras Hindu University, 2020–2023
I earned my M.Sc. (Tech.) in Exploration Geophysics, focusing on environmental applications and advanced geophysical methods. As Industrial Relations Head of the Society of Exploration Geophysics (SEG), I organized major events like GEO-AAKARSHAN 2021 and YARGYAN 2021.
Dissertation: Understanding Stress Drop and High-Frequency Attenuation in Japan's Chugoku Region, providing insights into seismic behavior.
Research Paper: Published on integrating Sparse Layer Reflectivity Inversion and Radial Basis Function Neural Networks for reservoir characterization, identifying glauconitic sand channels.
Skills: Seismic inversion, programming (Python, C), data analysis, and leadership.
Bachelor of Science in Mathematics (Honors)
Banaras Hindu University, 2016–2019
During my undergraduate studies, I specialized in Mathematics with Physics and Computer Science, while actively contributing to the university chess team. I honed leadership and analytical skills through academic and extracurricular involvement, including roles in Mathematics and Computer Science Societies.
Skills: Computational problem-solving, Fortran programming, chess strategy, and communication.