Tzu-Liang (Bill) Tseng is an associate professor of Industrial, Manufacturing and Systems Engineering at University of Texas at El Paso (UTEP). He received his M.S. degree in Decision Sciences at University of Wisconsin-Madison and his Ph.D. degree in Industrial Engineering at University of Iowa. His research focuses on the computational intelligence, data mining, bio- informatics and advanced manufacturing. Dr. Tseng published in many refereed journals such as IEEE Transactions, IIE Transaction, Journal of Manufacturing Systems and others. He has been serving as a principle investigator of many research projects, funded by NSF, NASA, DoEd, and KSEF. He is currently serving as an editor of Journal of Computer Standards & Interfaces.
Dr. Richard Chiou is Associate Professor within the Engineering Technology Department at Drexel University, Philadelphia, USA. He received his Ph.D. degree in the G.W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. His educational background is in manufacturing with an emphasis on mechatronics. In addition to his many years of industrial experience, he has taught many different engineering and technology courses at undergraduate and graduate levels. His tremendous research experience in manufacturing includes environmentally conscious manufacturing, Internet based robotics, and Web based quality. In the past years, he has been involved in sustainable manufacturing for maximizing energy and material recovery while minimizing environmental impact.
Eric D. Smith is currently an Assistant Professor at the University of Texas at El Paso (UTEP), working within the Industrial, Manufacturing and Systems Engineering Department. He earned a B.S. in Physics in 1994, an M.S. in Systems Engineering in 2003, and his Ph.D. in Systems and Industrial Engineering in 2006 from the University of Arizona in Tucson, AZ. His dissertation research lay at the interface of systems engineering, cognitive science, and multi-criteria decision making. He taught for two years in The Boeing Company’s Systems Engineering Graduate Program at the Missouri University of Science & Technology.
Dr. Radian Belu is Assistant Professor within the Engineering Technology (ET) program - Drexel University, Philadelphia, USA. He is holding a PHD in power engineering and the other in physics. Before joining to the Drexel University Dr. Belu hold faculty and research positions at universities and research institutes in Romania, Canada and United States. He also worked for several years in industry as project manager, senior engineer and consultant. He has taught and developed undergraduate and graduate courses in power electronics, power systems, renewable energy technologies, smart grids, control theory, electric machines, instrumentation, radar and remote sensing, numerical methods and data analysis, space and atmosphere physics, and applied physics. His research interests included power system stability, control and protection, renewable energy system analysis, assessment and design, smart microgrids, power electronics and electric machines for wind energy conversion, radar and remote sensing, wave and turbulence simulation, measurement and modeling, numerical modeling, electromagnetic compatibility and engineering education. During his career Dr. Belu published eight book chapters, several papers in referred journals and in conference proceedings in his areas of the research interests. He has also been PI or Co-PI for various research projects United States and abroad in power systems analysis and protection, load and energy demand forecasting and analysis, renewable energy, microgrids, turbulence and wave propagation, radar and remote sensing, instrumentation, atmosphere physics, electromagnetic compatibility, and engineering education.
Bachelors of Science in Mech Engineering, Master of Arts in Political Science, currently pursuing PhD degree in Engineering Education. Director of Corporate Relations for College of Engineering at the University of Texas at El Paso, and Coordinator for the Research Institute for Manufacturing and Engineering Systems.
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