Load Forecasting With Adversarial Attacks In Power Systems Using DeepForge

BIO

Peter Volgyesi is a Research Scientist at the Institute for Software Integrated Systems at Vanderbilt University. In the past decade, Mr. Volgyesi has been working on several novel and high impact projects sponsored by DARPA, NSF, ONR, ARL and industrial companies (Lockheed Martin, BAE Systems, the Boeing Company, Raytheon, Microsoft). He is one of the architects of the Generic Modeling Environment, a widely used metaprogrammable visual modeling tool, and WebGME - its modern web-based variant. Mr. Volgyesi had a leading role in developing the real-time signal processing algorithms in PinPtr, a low cost, low power countersniper system. He also participated in the development of the Radio Interferometric Positioning System (RIPS), a patented technology for accurate low-power node localization. As PI on two NSF funded projects Mr. Volgyesi and his team developed a low-power software-defined radio platform (MarmotE) and a component-based development toolchain targeting multicore SoC architectures for wireless cyber-physical systems. His team won several prizes in the DARPA Spectrum and Spectrum Collaboration Challenges.
 

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