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Training Program on

Artificial Intelligence & Machine Learning

Geophysical Data Analysis

  • March 8-9, 2025
  • March 10-14, 2025

Artificial Intelligence (AI) and Machine Learning (ML) are advancing at a rapid pace in the field of geophysics, creating new prospects for mapping and modeling the Earth. These data-driven methods are useful adjuncts particularly for physical-based modeling, simulation, and inversion in the geosciences. Taking this into concern, CSIR-National Geophysical Research Institute (CSIR-NGRI) is organizing an advanced training program on AI & ML for Geophysical Data Analysis. This trainingprogram aims to bring international/national professionals from academia and industry to discuss the challenges, opportunities, and trends of machine learning, and artificial intelligence for geophysical applications. The important outcome of the training program is to impart hands-on-training mainly to participants from academic and R&D institutes.

About the Training-Program

This five-day training program is designed to introduce the theory and applications of AI & ML in geosciences. Equal emphasis will be placed on theoretical concepts and practical sessions to ensure a balanced learning experience. Additionally, a two-day pre-training session will focus on introducing Python programming and various execution platforms, providing participants with the necessary foundation. Participants will work on small projects to apply their learning and certificate will be issued upon successful completion. This program aims to equip attendees with both theoretical knowledge and handson skills for utilizing AI & ML techniques in geoscientific applications.

10:00 - 17:00

Python: Introduction, Installation, Variables, General Datatypes, Loops (if, for, else, while), Functions, Jupyter notebook, google Colab

Dr. Ajay Malkoti
Dr. Pavan K.Vengala

10:00 - 17:00

Python libraries: Pandas, matplotlib, scikit-learn, tensor flow, pytorch, Preparing and cleaning of data for processing

Python - Building a simple AI/ML model

Dr. Kalyan Netti
Dr. M. Ojha

9:30 - 10:15

Welcome address and Inaugural talk


10:15 - 10:30

Training program logistics/Objectives and overview of training: Dr. Ranjana Ghosh/Mahak Singh Chauhan/Kalyan Netti

HIGH TEA 10:30 - 11:00


11:00 - 12:00

Lecture 1

Introduction to Machine Learning - Geoscience applications

Prof. M. K. Sen


12:00 - 13:00

Lecture 2

Statistics: Probability Distribution, Bayesian inference

Prof. Sanjay Srinivasan


14:00 - 15:15

Lecture 3

Optimization Methods, Gradient Descent, Stochastic GD, ADAM, Newton

Prof. M. K. Sen


15:30 - 17:30

LAB exercises

Python: optimization methods, GD, SGD, ADAM

Prof. M. K. Sen
Dr. Maheswar Ojha

9:30 - 10:45

Lecture 4

Linear Algebra basics; Vector space, Linear system of equations and solutions (Ax=b); Norms, Least Squares, Regularization

Dr. Ranjit Shaw


11:00 - 12:00

Lecture 5

Linear and Logistic Regression, Loss functions

Dr. Flavio Cannavo


12:00 - 13:00

LAB exercises

Dr. Flavio Cannavo


14:00 - 15:15

Lecture 6

Unsupervised ML - clustering, decision trees, random forest, SVN

Prof. Sanjay Srinivasan


15:30 - 17:00

LAB exercises

Prof. Sanjay Srinivasan
Dr. Yangkang Chen


17:00 - 17:45

Lecture 7

Applications of ML & Quantum Computing in Geosciences

Dr. Prakash Kumar
Mr. B. Dalai

9:30 - 10:45

Lecture 8

Neural Networks, Back Propagation

Dr. Flavio Cannavo


11:00 - 13:00

LAB exercises

Dr. Flavio Cannavo


14:00 - 15:15

Lecture 9

Deep Learning, Convolutional Neural Network and Auto-Encoders

Dr. Yangkang Chen


15:30 - 17:00

LAB exercises

Dr. Yangkang Chen


17:00 - 17:45

Lecture 10

Machine Learning for Reservoir Characterization

Dr. Ranjit Shaw

HACKATHON

Project Executions

Small Projects will be given to the participants to execute their learning skills: seismic, seismology, well-log, MT and potential field data

Mentors : Prof. M. K. Sen, Prof. Sanjay Srinivasan, Dr. Flavio Cannavo


Sub-Mentors
  • Seismology: Dr. Pawan Vengala (NGRI), Bijayananda Dalai (NGRI)
  • Seismic/Well-log: Dr. M. Ojha (NGRI), Dr. Ajay Malkoti (NGRI),
    Dr. Priyadarshi Chinmay (WIHG, Dehradun), Dr. Amrita Singh (NGRI)
  • MT and Potential Field: Dr. B. P. K. Patro (NGRI), Dr. Mahak Singh Chauhan (NGRI)
  • Technical supervision: Dr. Kalyan Netti (NGRI)
09:30 - 13:00

HACKATHON


14:30 - 15:30

VALEDICTORY PROGRAM

Registration Fees

Fee includes training fee, course material, working lunch, Tea and Snacks

  • Industry Professionals 20,000
  • Scientist/Faculty 10,000
  • Research Scholars 5,000
  • Students 2,500

Register

Accommodation

Accommodation can be provided at CSIR-NGRI campus on payment basis to the selected (firstcum- first basis) participants

Chairman

Dr. Prakash Kumar
Director, CSIR-NGRI, Hyderabad

Convenor

Dr. Ranjana Ghosh

Co-Convenor

Dr. Mahak Singh Chauhan

Advisor

Prof. Mrinal K. Sen
UTIG, Austin, USA

Members

Dr. B. P. K. Patro
Dr. Kalyan Netti
Dr. Maheswar Ojha
Dr. P. K. Vengala

Faculty Members

About CSIR-NGRI

Established in 1961, the National Geophysical Research Institute (NGRI) is a constituent research laboratory of the Council of Scientific and Industrial Research (CSIR). NGRI's mission is to carry out public-good science research to help stakeholders in the public and private sectors, government agencies, and the general public make well-informed decisions on the sustainable use of georesources and to increase preparedness and resilience to natural catastrophes. With a workforce of scientists, highly skilled technical staff members, research scholar as well as cutting-edge laboratory and computational facilities. NGRI is dedicated to address the challenges of the near future and leverage science to impact societal priorities in collaboration with sister agencies, the public sector, and private industry.

About Hyderabad

Hyderabad, a vibrant city with a rich history spanning over 400 years, is the capital of Telangana and one of India's largest metropolitan city. Known for its ancient civilization and cultural heritage, the city is celebrated for its unique blend of tradition and modernity. Perched atop the Deccan Plateau at an elevation of 540 meters above sea level, Hyderabad spans an area of approximately 650 Sq. kilometers. A multitude of influences have shaped the character of the city. Its palaces and buildings, houses and tenements, gardens and streets have a history and an architectural individuality of their own, which makes Hyderabad a city of enchantment.

Contacts

CSIR-NGRI

Uppal Road, Hyderabad,Telangana, 500007

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