Big Data and AI in Mine Safety

Please join the Mining Engineering Department at the Colorado School of Mines as they welcome Payne Institute Faculty Fellow Dr. H. Şebnem Düzgün, Professor and Fred Banfield Distinguished Endowed Chair of the Mining Engineering Department at the Colorado School of Mines presenting a live and virtual seminar titled Big Data and AI in Mine Safety on Wednesday, October 27, 2021 from 4:00pm – 5:00pm MT.

Dr. Düzgün will present four AI technologies developed by her research team. These technologies integrate Big Data Analytics approaches and provide predictive solutions for enhancing mine safety. She will first explain an AI-based hazard detection system for predicting roof fall hazards. Then she will present an AI system developed for near-real-time methane detection for underground coal mines. Dr. Düzgün will demonstrate an autonomous object detection system for lidar applications in underground mine mapping. Additionally, she will show the initial findings of a bat-vision system, which relies on AI and augmented reality, developed for supporting search and rescue personnel for overcoming difficulties due to degraded sensing, communications, darkness, smoke, dust.

Dr. H. Şebnem Düzgün is a Professor and Fred Banfield Distinguished Endowed Chair of the Mining Engineering Department at the Colorado School of Mines (CSM). She has also joint faculty appointment in the Department of Computer Science at CSM. Dr. Düzgün has an international reputation for a broad range of topics including big data and AI in the mining life cycle, probabilistic modeling of engineered and natural rock slopes and quantitative risk assessment, analysis and management of risks associated with geotechnical hazards and tailing dam failures, mine environmental monitoring using remote sensing, virtual/augmented/mixed reality and serious gaming for technical training and collaborative decision making. She authored four books and published over 250 papers.