Dr. Evans conducts research in Machine Learning for the GE Businesses and Government agencies.
Prior to joining GE he was a nuclear trained submarine officer in the US Navy. He joined GE in 1997 at GE Industrial Systems on the Edison Engineering program where he designed and implemented production software for an electrical substation power quality monitoring system. He transferred to GE Research in 1998 to join the communications systems program and begin part time work on his PHD at RPI, completed in 2003.Dr. Evans's specialties include the following:Causal AI for Improved DecisionsGreen AI: Joint Optimization of Energy and LearningAI and Digital Twins for Nuclear SafeguardsAnalytics to optimize Renewable Wind PowerMachine Learning AlgorithmsPrognostics and Health MonitoringSystem Modelling and OptimizationCyber-SecurityAdaptive Network Quality of Service AlgorithmsMinimum Description Length DNA Sequence AnalysisLow Power Multi-Hop Wireless Sensor Network Protocols