Amin Hekmatnejad

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Dr. Amin Hekmatnejad is a Mining Engineer with a Ph.D. from the University of Chile, specializing in rock mechanics, digital geomechanics, and underground mine design. He is currently a full time professor at Pontificia Universidad Católica de Chile and associate researcher at the Center for Mathematical Modeling (CMM), where he leads interdisciplinary projects on digital rock mass twins, underground hydrogen storage, and AI-assisted geomechanical risk assessment. He is also involved in computational neuroscience research focused on seizure prediction from ECG signals, in collaboration with the CMM and UC Neuroscience Center.

He previously held academic positions at the University of Talca and Pontificia Universidad Católica de Valparaíso (PUCV), contributing to master's and Ph.D. programs. Earlier in his career, he worked in the oil and gas industry as a reservoir geomechanics specialist and geostatistical modeler at the Iranian Offshore Oil Company, gaining hands-on experience in borehole stability, reservoir modeling, and drilling operations.

He is the director of the Digital Rock Mass Twin & Supercomputing Laboratory, where AI, DFN-FDEM simulation, spatial statistics, and real-time visualization are used to solve large-scale rock engineering challenges. He developed the Universal Discontinuity Index (UDi) and R-Dis-Frag modeling system, applied in projects like El Teniente Mine.

With over 30 indexed publications, Dr. Hekmatnejad has led FONDECYT and FONDEF research grants, received the “Best Research Award on New Science Inventions” (2021), and currently supervises seven Ph.D. students and two postdoctoral researchers. He maintains active collaborations with universities in Canada, China, France, Japan, Australia, and beyond.

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