Dr. Nenad Nenadic conducts inter-disciplinary, applied research in systems, including prognostics health monitoring (PHM), microgrids, and parametric design. He has more than ten years of practical experience in PHM development for a wide range of electrical, mechanical, and electromechanical systems (e.g., gearboxes, lithium ion batteries, photo kiosks, engines, fuel cells, and vehicles), with active engagement in all stages of the development, starting from design of experiment, development of physics-based models; via development of instrumentation (sensor selection and placement, data acquisition and storage design) and data collection through conducting empirical studies; to data analysis (signal pre-processing, feature extraction, model development) and interpretation of results using machine learning and statistics. He is interested in practical solutions for improving system’s economic and environmental performance, such as development collaboration modes between an independently-operating microgrid and the interfacing utility, extending the useful life of lithium ion batteries in microgrid applications (after the end of their primary useful life in electric vehicles), and development of solutions for reducing peak power demand in industrial and commercial buildings. He is working on application of evolutionary algorithms to process automation and optimization such as development of a semi-automated (human-in-the-loop) design environment.