Meet The Team

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Velimir (“Monty”) Vesselinov

Director of Subsurface Energy

Velimir (“monty”) Vesselinov’s expertise is in applied mathematics, engineering, computer and earth sciences. His research and programmatic interests are in machine learning (ML), artificial intelligence (AI), data analytics, model diagnostics, and high-performance/cloud/quantum computing. He is the inventor and lead developer of novel theoretical methods and computational tools for machine learning ML/AI, inversion, optimization, and decision analyses. He is also a co-inventor of patented/disclosed ML/AI methodologies. Over the years, Monty has been the principal investigator of numerous multi-million/multi-institutional projects. These projects addressed various earth-sciences problems, including geothermal, carbon sequestration/storage, oil/gas production, climate/anthropogenic impacts, wildfires, environmental management, water supply/contamination watershed hydrology, induced seismicity, and waste disposal. Work under these projects involved developing and applying cutting-edge methods and tools for ML/AI, data analytics, statistical analyses, model development, model analyses, uncertainty quantification, sensitivity analyses, risk assessment, and decision support.

Monty’s Ph.D. (University of Arizona, 2000) is in Hydrology and Water Resource Engineering with a minor in Applied Mathematics (adviser Regents Professor Shlomo P. Neuman). He has authored a series of book chapters and more than 130 research papers cited more than 2,400 times with h-index 26 (Google Scholar). For his research work, Monty received a series of awards. In 2019, Monty was inducted into the Los Alamos National Laboratory’s Innovation Society. Monty is also the lead developer of groundbreaking open-source codes for machine learning, data analytics, and model diagnostic. The codes are actively used worldwide by the community. They are available on GitHub and GitLab. One of them is SmartTensors: a general framework for unsupervised, supervised, and physics-informed ML/AI. In 2021, SmartTensors received two R&D100 awards