Andreas Savvides, Ph.D., Executive Vice President and Co-Founder of Seldera LLC, has more than a decade of experience in Intelligent Sensing Systems. He leads Seldera in the development of information-driven energy efficiency solutions based on networked sensing and behavioral data analytics. Dr. Savvides pioneered a new set of methods for analyzing building consumption data to quickly identify low-cost opportunities for enhancing building energy efficiency and the ability of buildings to interact with the grid. Dr. Savvides has designed and implemented several networked sensing systems related to energy efficiency, healthcare and security and successfully transitioned each to commercial products. Before founding Seldera, Dr. Savvides was the Barton L. Weller Associate Professor of Electrical Engineering and Associate Professor of Computer Science at Yale University. Dr. Savvides founded and directed the Embedded Networks and Applications Lab at Yale and has led several government and commercial projects related to sensing and energy applications. He has published over 70 conference and journal papers. Dr. Savvides holds a B.S. degree in Computer Engineering from the University of California, San Diego, and a M.S. Degree in Electrical and Computer Engineering from the University of Massachusetts at Amherst and a Ph.D. degree in Electrical Engineering from the University of California, Los Angeles.
Athanasios Bamis, Ph.D., Vice President of Engineering and Co-Founder of Seldera LLC, leads the system architecture development for Seldera’s energy sensing solutions, including analytics related to behavior and energy use characterization. He has extensive background in sensing systems and architectures, human activity recognition, and big data analytics. He has led and participated in several large federally funded projects involving healthcare, security and energy applications. Prior to Seldera, Dr. Bamis was an Assistant Professor of Computer Science and Engineering at the University of Connecticut (UConn), and he has also worked for the Nokia Research Center. At UConn, he taught advanced undergraduate and graduate courses in Networked Embedded Systems and Ubiquitous computing, and led a research group consisting of eight graduate and post-graduate researchers. His work at UConn was supported by the National Science Foundation among other sources. He has more than twenty publications in peer-reviewed international journals and conferences in the areas of wireless sensing architectures, data mining, and security, healthcare and energy applications. Dr. Bamis received his Ph.D. in Electrical Engineering from Yale University for his work in human behavior analysis using wireless sensors.