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Workshops and Seminar Series to Enhance and Create Opportunities for Innovation in Green Manufacturing and Engineering

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Conference

2017 ASEE Annual Conference & Exposition

Location

Columbus, Ohio

Publication Date

June 24, 2017

Start Date

June 24, 2017

End Date

June 28, 2017

Conference Session

Green and Susainable Manufacturing Practices

Tagged Division

Manufacturing

Page Count

25

Permanent URL

https://peer.asee.org/29193

Download Count

59

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Paper Authors

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Tzu-Liang Bill Tseng University of Texas, El Paso

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Dr. Tseng is a Professor and Chair of Industrial, Manufacturing and Systems Engineering at UTEP. 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, KSEF and LMC. He is currently serving as an editor of Journal of Computer Standards & Interfaces.

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Aditya Akundi University of Texas, El Paso Orcid 16x16 orcid.org/0000-0002-8656-7002

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Aditya Akundi is currently affiliated to Industrial Manufacturing and Systems Engineering department, and Research Institute for Manufacturing and Engineering Systems at University of Texas, ElPaso.

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). Intrigued by Systems Engineering , he earned a Ph.D in Electrical and Computer Engineering, with a concentration in Industrial and Systems Engineering (ISE) at Unniversity of Texas in 2016. His research is focused on undersanding Complex Technical and Socio-Technical Systems from an Infromation Theortic 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.

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Arturo Olivarez Jr. University of Texas, El Paso

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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.

Educational Background:

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

Job Experience:

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

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Eric D. Smith University of Texas, El Paso

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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.

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Richard Chiou Drexel University (Eng. & Eng. Tech.)

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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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Abstract

This paper describes a series of workshops and seminars conducted as a part of Industrial, Manufacturing and Systems Engineering (IMSE) Day at The University of Texas at El Paso, with a goal of providing students from El Paso - Cd. Juarez region with opportunities to grow and develop engineering and leadership skills. Considering the global use of green engineering and green manufacturing technologies by industries for minimizing environmental impact and increased resource utilization, IMSE day 2016 was specifically geared towards introducing students to new information age technologies and their application in the fields of green manufacturing and engineering. The conducted workshops and seminars are based on the theme “Internet of Things” (IOT) to reflect the interdependent nature of manufacturing processes and the ability of IOT to improve visibility in manufacturing. The authors provide a detailed overview of all the workshops and seminars conducted along with a detailed assessment of IMSE day 2016 based on student feedback.

Tseng, T. B., & Akundi, A., & Olivarez, A., & Smith, E. D., & Chiou, R. (2017, June), Workshops and Seminar Series to Enhance and Create Opportunities for Innovation in Green Manufacturing and Engineering Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. https://peer.asee.org/29193

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