Mine Digitalization and Artificial Intelligence Lab
Mine Digitalization and Artificial Intelligence Lab
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Recent technological advancements in artificial intelligence, machine learning, and the mining and coal industries have led to the generation of large and complex data sets. By leveraging techniques from optimization, signal processing, high-dimensional statistics, graph theory, and machine learning, we develop data-driven solutions to address key challenges in these domains.
Our focus lies in graph machine learning theory and applications, optimization techniques, federated learning, and their impact on mining operations, resource optimization, safety enhancements, and environmental sustainability. Additionally, we explore machine learning applications in computational geosciences, and predictive maintenance to drive innovation in the mining and coal sectors.
Recent Publications / Updates
Recent Publications / Updates
PhD Position Openings at IIT (ISM) Dhanbad – Mining Engineering Department : We are recruiting! A PhD position is available at our lab in the Department of Mining Engineering, IIT (ISM) Dhanbad. We are looking for self-motivated candidates interested in working in cutting-edge areas such as:
Artificial Intelligence (AI) in Mining
Quantum Computing for Geosciences and Mining Applications
Digital Twin and Smart Mining Systems
Mining Automation and Robotics
Data-Driven Mineral Exploration
Interested candidates should email their latest CV to: sagarwal@iitism.ac.in
Granite porosity prediction under varied thermal conditions using machine learning models: R Dwivedi, B Prasad, PK Gautam, P Garg, S Agarwal, Earth Science Informatics, 2025.
A cyber-physical system-based unmanned ground vehicle for safety inspection and rescue support in an underground mine, L Behera, S Agarwal, T Sandhan, P Sharma, A Kumar , International Journal of Intelligent Unmanned Systems, 2025
Advancing Sustainability in Surface Coal Mines Through Real-Time Air Quality Monitoring: Low-Cost IoT Solutions and the Role of Meteorological Factors in PM and GHG Emissions: V Suresh, S Agarwal, YP Chugh, P Jha, R Wang, Sustainability, 2025
Leveraging intrinsic properties for classification of coal seams towards spontaneous combustion proclivity and predicting susceptibility using machine learning: smart and sustainable mining approach:
S Agarwal, PK Gautam, Y Zou, R Dwivedi Journal of Sustainable Mining, 2025
Research Areas
Research Areas
Spatial Statistics
Spatial Statistics
Mine Reserve Estimation and Planning & Scheduling
Mine Reserve Estimation and Planning & Scheduling
Operations Research
Operations Research
Artificial Intelligence /
Deep Learning
Artificial Intelligence /
Deep Learning
Applied Statistics / Business Analytics/ Big Data Analytics
Applied Statistics / Business Analytics/ Big Data Analytics
Financial Risk Management of Insurance, Banking and Loan Products
Financial Risk Management of Insurance, Banking and Loan Products
Reach out to our Lab
Reach out to our Lab
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