Dr. Bill Tseng is a Professor and Chair of Department of Industrial, Manufacturing and Systems Engineering at the UTEP. He is also a Director of Research Institute for Manufacturing & Engineering Systems, the host institute of Texas Manufacturing Assistance Center at UTEP. He received his two MSIE degrees (MFG & DS/OR) from the University of Wisconsin at Madison and Ph.D. in Industrial Engineering from the University of Iowa. Dr. Tseng is also a Certified Manufacturing Engineer from Society of Manufacturing Engineers. Dr. Tseng’s research area cover emergency management, systems engineering, computational intelligence/data analytics and cyber engineering technology. Over the years, he has served more than 10 million dollars as principle investigators sponsored by NSF, NIST, USDT, DoEd, KSEF and industry like LMCO, GM and Tyco Inc. Dr. Tseng delivered research results to many refereed journals such as IEEE Transactions, IIE Transactions, International Journal of Production Research, Journal of Manufacturing Systems, Expert Systems with Applications and other conferences (over 260 refereed publications). He is currently serving as an editor of Journal of Computer Standards & Interfaces (CSI) and editor boards of International Journal of Data Mining, Modeling and Management (JDMMM) and American Journal of Industrial and Business Management (AJIBM). He is currently a Senior Member of Institute of Industrial Engineers, Society of Manufacturing Engineers and the Division Chair of Manufacturing Division of American Society of Engineering Education (ASEE). He is also actively involved in several consortia activities.
Aditya Akundi is currently affiliated to the Manufacturing and Industrial Engineering Department, at the University of Texas Rio Grande Valley. He earned a Bachelor of Technology in Electronics and Communication Engineering from Jawaharlal Nehru Technological University, India. He earned a Master of Science in Electrical and Computer Engineering at the University of Texas at El Paso (UTEP). and a Ph.D. in Electrical and Computer Engineering, with a concentration in Industrial and Systems Engineering (ISE) in 2016. His research is focused on understanding Complex Technical and Socio-Technical Systems from an Information Theoretic approach. He has worked on a number of projects in the field of Electrical & Computer Engineering, Systems Engineering, Additive Manufacturing and Green Energy Manufacturing. His research interests are in Systems Engineering & Architecture, Complex systems, Systems testing and Application of Entropy to Complex Systems.
Arturo Olivárez, Jr., Professor. He is a professor of educational research with emphasis on quantitative methods and the application of univariate and multivariate statistics, measurement issues across diverse populations, educational assessment, and evaluation of educational programs. He holds the Patricia Daw Yetter Professorship in quantitative methodology and program evaluation, and coordinates the Research and Evaluation Laboratory (REL) in the College of Education at UTEP. He is an expert on educational research with an emphasis on quantitative methods and the application of univariate and multivariate statistical procedures, measurement issues across diverse populations, educational assessment, and evaluation of educational programs. He has served on over 87 doctoral dissertation committees; published more than 45 refereed research articles; and presented at more than 100 international, national and regional research conferences. Some of his more general research areas of interest include teacher and student’s self-efficacy and motivation research, reading and mathematics education research, and quality of teacher preparation research. Recently, he concluded several educational program evaluations across Texas in the areas of reading, bilingual education and technology. Three of the most recent evaluations include study on middle school students writing, evaluation of the impact of technology in schools, Reading First Grants, a bilingual education program, a nursing student training program funded by the NSF and a Department of Education grant in Green Energy Manufacturing curriculum development. Currently, he is involved in the evaluation and research of two federal grants regarding student success. One of the grants aims at providing undergraduate engineering minority students opportunities for acquiring 21st century knowledge and skills required to compete with a technology-rich workforce environment. The second grant aims at providing educational and administrative support to undergraduate student in areas of career and financial management planning. He has been selected as Research Fellow at the Educational Testing Service at Princeton for two consecutive summer terms. He has been program chair and president of the regional association (Southwest Educational Research Association) and presently active member of American Educational Research Association’s Division D (Measurement) Graduate Student Welfare and Mentoring Committee and program chair for AERA’s Professors of Educational Research SIG in 2014-2016.
1979 Bachelor of Science in Mathematics University of Texas-Pan American
1982 Masters of Science in Mathematics Education University of Texas-Pan American
1989 Philosophy Degree in Educational Psychology Texas A&M University
1989-1991 Assistant Professor Texas A&M University
1991-2006 Associate Professor Texas Tech University
2006-2008 Professor Texas Tech University
2008 to present Professor University of Texas at El Paso
Eric D. Smith is currently an Associate Professor at the University of Texas at El Paso (UTEP), a Minority Serving Institution (MSI) and a Hispanic Serving Institution (HSI), He works within the Industrial, Manufacturing and Systems Engineering (IMSE) Department, in particular with the Master of Science in Systems Engineering Program. 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 earned his J.D. from Northwestern California University School of Law.
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.
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