ECE Seminar Series
Title: The Role of High-Performance Computing and
Resource Management in the Future Smart City
Speaker: Tim Hansen
Affiliation: Department of Electrical Engineering and Computer Science, South Dakota State University
Day: Wednesday, February 7, 2018
Time: 11:00 am - 12:00 pm
Location: Clark A102
Abstract: High-performance computing and resource management techniques are needed to solve energy management problems in the "Smart City." The Smart City is a multi-disciplinary concept that can be broadly defined as the integration, management, and coordination of existing and future infrastructure to address existing and emerging issues in urban environments. In this seminar, the idea of the Smart City will be explained in the context of energy systems, particularly smart buildings and the cost per-unit energy. Resource management optimization techniques, often used in computing systems, will be explored to intelligently manage energy use in the context of an entire city to the individual building level. Methods for creating synthetic energy datasets at the individual appliance level (e.g., washing machine) that combine into realistic city-sized loads will be explained, motivating the need for high-performance computing techniques to solve the Smart City energy resource management problem. The topics presented will have broad applicability to science and engineering students, including: 1) what determines the per-unit cost of energy in a given system; 2) why is the Smart City an interesting research topic that requires a multi-disciplinary approach to novel solutions; and 3) how high-performance computing can be used to solve city-sized optimization problems.
Bio: Timothy Hansen is an Assistant Professor in the Department of Electrical Engineering and Computer Science at South Dakota State University (SD-State), starting in 2015. At SD-State, he leads an NSF-funded research group in the area of sustainable resource management in energy systems. His research interests are primarily in the areas of optimization, modeling and simulation, and high-performance computing, with applications to robust computing systems, cyber-physical-social systems, and distributed energy systems management and integration. He received his B.S. degree in Computer Engineering with High Honors in 2011, and his Ph.D. degree in Electrical Engineering from Colorado State University in 2015.