Systems Modelling and Control
Real-time, control centric systems modelling of non-linear time-delay systems and control strategies for vibration mitigation and optimal control.
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Applied Machine Learning
Application of machine learning techniques to industrial data to create data driven models of complex phenomena, identifying dysfunction, or accelerating simulation.
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Digital Twinning
Real-time parameter estimation for non-linear systems allows for continuous condition monitoring and soft sensing.
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Roman Shor, Ph.D., P.Eng.
Associate Professor in the Harold Vance Department of Petroleum Engineering at Texas A&M University
Specializing in Geothermal Energy, Drilling Engineering, Drilling Systems Automation, Control System Design, Applications of Machine Learning to Big Data Analytics and novel methods in Drilling and Completions.
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