Doğa Çağdaş Demirkan, a METU alum who continues his Ph.D. in the USA, has been named the winner of the annual student poster competition with his poster titled “Real-Time/Near-Real-Time Methane Prediction in Longwall Coal Mine Using Artificial Intelligence”. The competition was held in conjunction with the Rocky Mountain Advanced Computing Consortium’s (RMACC) High Performance Computing Symposium.
Demirkan, who earned a B.Sc. degree in mining engineering and an M.Sc. in Geodetic and Geographic Information Technologies at METU, is in the third year of his Ph.D. education in mining engineering at Colorado School of Mines, studies machine learning algorithms and satellite imagery. Working on developing a real-time explosion hazards system for underground coal mines, which forms the basis of his award-winning poster, Demirkan uses high-performance computing (HPC) to predict real-time methane concentration as a warning system to be used to prevent methane explosions, one of the most dangerous explosion types in underground coal mines.
For further information about the RMACC, which is a volunteer organization in collaboration with 32 academic and research institutions from various states of the USA, please visit https://rmacc.org/ and https://www.hpcwire.com/off-the-wire/rmacc-names-poster-winner-from-high-performance-computing-symposium-2 for the news article of the award given to Doğa Çağdaş Demirkan.
