Assessing ground conditions in underground mines during excavation can be difficult and unsafe for mine workers and engineers. A continuous monitoring system for ground conditions with minimum geohazard exposure to workers is needed to ensure rock mass stability in underground mines. Our research lab has developed a sensor-based geotechnical monitoring framework that deploys a three-dimensional digital twin for underground mines. 

The mining industry, critical for global resource supply, has historically been linked to significant environmental degradation and social challenges including habitat disruption, and water and soil contamination as well as fatalities. But recently the industry has been undergoing a transformative change to meet evolving environmental and societal expectations. Our research lab has employed tools such as operations research and machine learning to optimize sustainable and dynamic decision-making in mine planning.

Automation plays a significant role in mining by improving operational efficiency, safety, and productivity. Our lab develops technology based on Sensors and Input Devices, AI systems, and software for improved safety and operational efficiency.