David Klein, Ph.D., has joined Volta Charging, an industry leader in commerce-centric electric vehicle (EV) charging networks, as Senior Vice President and Chief Data Scientist. Dr. Klein previously served as Chief Scientist at 2Predict, Inc., a leader in machine-learning based analytics solutions.
He will lead the team developing Volta Charging’s machine intelligent charging network capabilities, including predicting energy demand, anticipating consumer behavioural shifts and optimising internal operations. He will report to Praveen Mandal, Chief Technology Officer.
Dr. Klein and his team will bring advanced data science expertise to lead Volta Charging in accelerating the company’s decision processes, creating unique intellectual property, developing automated predictive systems, intelligent interfaces and working to advance the industry at large.
Dr. Klein brings more than 15 years of deep learning, machine learning and data science expertise with a history of transforming industries by facilitating the adoption of AI and data science. He is named an inventor on 14 US granted patents, and four international patents for his work covering neural networks, intelligent sensors, context awareness, and adaptive power control. He has led the development of an electric vehicle charging station planning tool for optimising charging station placement in cities based on mobility patterns. In addition, Dr. Klein has a passion for conservation and utilises his skills on behalf of endangered species to support large scale species monitoring.
Praveen Mandal said, “As Volta Charging continues to evolve, the machine intelligent charging networks that David and his team will help us build will be foundational to the development of the infrastructure to support EV charging using proprietary techniques to accelerate EV charging adoption, as well as advancing the industry as a whole.”
Dr. Klein said, “Our AI work will enable Volta Charging to continue intelligently placing charging stations in the locations that best optimise fuelling, and will, in turn, help businesses and municipalities plan for the wave of EV adoption that will match consumer needs and have the most impact to the community.”