I’m a PhD student in Earth and Atmospheric Sciences at Georgia Institute of Technology, Atlanta, USA. My research focuses on Geophysics, Seismic Imaging and Inversion, and Geological Carbon Storage (GCS), with a strong emphasis on the application of AI/ML tools for real-time monitoring and modeling of GCS processes.

• Geophysics: Seismic Imaging, Inversion Techniques, and Data Assimilation
• Geological Carbon Storage (GCS): Monitoring CO2 plumes, Carbon Sequestration, and Predictive Modeling
• Machine Learning for Earth Systems: Leveraging AI techniques such as Generative AI, Neural Networks, and Bayesian Inference for real-time monitoring and uncertainty quantification in GCS
• Data Fusion: High-dimensional and multi-modal data fusion for informed decision-making in GCS projects
• Computational Geophysics: Solving large-scale physics simulations using HPC (High-Performance Computing)

I am currently exploring how machine learning techniques can be applied to enhance monitoring of Geological Carbon Storage (GCS), particularly:

• Development of Generative AI-based digital twins for CO2 sequestration
• Uncertainty quantification and real-time data assimilation in GCS models

I am looking to collaborate on projects related to:

• Field-scale modeling of CO2 flow and seismic monitoring for GCS applications
• AI-driven geophysical inversion for improved geological interpretation and monitoring

• Email: agahlot8@gatech.edu
• Alternate Email: gahlot.abhinav@yahoo.com
• LinkedIn: Abhinav P Gahlot
• GitHub: @apgahlot

Here are some of my repositories related to my research:

• Generative AI for GCS Monitoring: Repository focused on developing Generative AI-based digital twin for CO2 sequestration and monitoring.
• Seismic Imaging & Inversion: Julia implementations for large-scale seismic inversion and imaging using joint recovery model.
• Docker setup for seismic modeling and imaging: Docker environment for seismic modeling and imaging for EAS 8803 Seismic Monitoring CO2 Storage course.

In addition to my research, I enjoy working on cutting-edge machine learning algorithms, contributing to open-source projects, and exploring ways to apply AI techniques to real-world environmental challenges.

Feel free to explore my repositories and reach out if you'd like to discuss collaboration opportunities, exchange ideas, or learn more about my work!