Ehsan has been instrumental in developing a Bayesian-led approach to management and valuation of exploration assets through absolute prospectivity (MVAP). This solution uses aspects of both knowledge-led mineral systems models and machine learning algorithms to predict the probability of deposit formation in a given area of interest.
Ehsan has a PhD in Mining Engineering – Exploration from Sahand University of Technology, Iran, with his thesis focusing on next-generation geostatistical methods. He has a strong background in mining engineering and mineral exploration, giving him the necessary understanding of the problems geoscientists face.
