Philip Bingham
Division Director - Electrification and Energy Infrastructures Division
Bio
Dr. Philip Bingham, head of the Electrification and Energy Infrastructures Division at Oak Ridge National Laboratory, leads broad research efforts to improve the reliability, sustainability and security of the nation’s electric grid and storage systems, as well as the integration of renewables and electric vehicles.
During more than two decades at ORNL, Dr. Bingham drove advances in the field of image processing and machine learning for applications in industrial inspection and national security. His research focus is computational sensing that incorporates image/signal processing and analytics techniques into the design of unique sensor systems, enabling new measurement capabilities.
Among key projects, Dr. Bingham used coded-source imaging to develop high-resolution neutron radiography, led a multi-lab initiative focused on locating security threats in air cargo, and lead ORNL’s efforts in data science for defense nuclear nonproliferation. Bingham’s expertise spans a broad range of computational sensing modalities, including electromagnetic sensing, x-ray and neutron radiography and computed tomography, and imaging sensors across the electromagnetic spectrum and from nano to macro scales. These advances have earned more than 15 patents, a Battelle Distinguished Inventor award and National Federal Laboratory Consortium Award for technology transfer.
In 2024, Dr. Bingham as among ORNL team members who received Exceptional Service awards from the United States government for innovative analyses and analytical tools supporting U.S. intelligence and counterintelligence efforts for nuclear nonproliferation.
Dr. Bingham earned his Master’s and PhD in electrical and computer engineering at the Georgia Institute of Technology after completing his bachelor’s degree in the same subject at the University of Tennessee, Knoxville. Before becoming division director, he led ORNL’s Imaging, Sensors, and Machine Learning group and the Energy Sensing, Analytics, and Communications Section.