Dr. Emre Karakaya | Mining Engineering | Best Research Article Award

Research Focus

Dr. Emre Karakaya’s research focus lies at the intersection of mechanical mining, rock mechanics, and computational intelligence. His Ph.D. research explored innovative methods for calculating texture coefficients of rocks using image segmentation and image processing—paving the way for more accurate geological assessments. He is particularly interested in leveraging Artificial Neural Networks (ANNs) to predict rock behaviors and physical properties, thereby enhancing the efficiency of mining operations. His ongoing work includes building deliverability forecasting models based on the mechanical and physical characteristics of rock formations. With an eye toward practical implementation, his research addresses both academic gaps and industrial needs. By combining traditional geological sciences with emerging digital tools, Dr. Karakaya is helping redefine how mining data is collected, analyzed, and applied. His interdisciplinary approach has made meaningful contributions to automated mining systems and remote geological analysis, aligning with global trends in smart mining and sustainable resource extraction.

🛠️ Skills

Dr. Emre Karakaya brings a diverse and specialized skill set to the field of mining engineering. His core competencies include mechanical mining, mining process optimization, and geological modeling. He has advanced proficiency in image processing, texture analysis, and segmentation algorithms, which he applies in evaluating rock properties. He is skilled in Artificial Neural Networks (ANNs) and machine learning models, especially for predictive forecasting in mining operations. His technical skills are supported by strong analytical abilities and software proficiency in tools such as MATLAB, Python, and specialized mining software. Dr. Karakaya also demonstrates effective project management capabilities, having led multiple university-sponsored research projects. His strong background in academic writing, data interpretation, and publication contributes to his success as a researcher. Furthermore, his collaborative approach and ability to communicate complex technical information make him an effective educator and team member in interdisciplinary environments.

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