Paper ID #41411Adoption of Digital Twin and Artificial Intelligence in Metal Additive Manufacturing:Current Status and Vision for FutureDr. Devi Kalla, Metropolitan State University of Denver Devi K. Kalla received a Ph.D. in industrial engineering from Wichita State University. He is currently a Director and Professor in the Department of Mechanical Engineering Technology at Metropolitan State University of Denver. He has made substantial contributions to the hybrid and modern field of sustainable manufacturing science and engineering technology. ©American Society for Engineering Education, 2024
Paper ID #40259Implementing Virtual Reality Project Activities for Enhancing StudentLearning Experience in Robotics and AutomationDr. Richard Y Chiou, Drexel University Dr. Richard Y. Chiou is a Full Professor within the Engineering Technology Program in the Department of Engineering, Society, and Leadership at Drexel University, Philadelphia, USA. His educational back- ground 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 grad- uate levels. His tremendous research experience in
, Manufacturing and Systems Engineering (IMSE) Department at The University of Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and computer simulation for industrial and healthcare applications. In addition, Dr. Rahman has taught various engineering courses in industrial and manufacturing engineering. His research area covers advanced quality technology, AI application in smart manufacturing, health care applications, computational intelligence/data analytics, and decision support systems.Nijanthan Vasudevan, Drexel University ©American Society for
Paper ID #38816Design and Evaluation of Modules to Teach PLC Interfacing ConceptsDr. Sheng-Jen Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a Professor in the Department of Engineering Technology and Industrial Distribution and a member of the Graduate Faculty at Texas A&M University, College Station, TX. His research interests include automation, robotics, cyber-manufacturing and Industry 4.0; optical/infrared imaging and instrumentation; micro/nano manufacturing; and design of technology for engineering ed- ucation. He is also the Director of the Rockwell Automation Laboratory at Texas A&M
Paper ID #41562Digital Twin for Additive Manufacturing and Smart Manufacturing EducationDr. Huachao Mao, Purdue University Dr. Huachao Mao is an Assistant Professor at Purdue University. His research interests include Additive Manufacturing and Smart Manufacturing.Yujie Shan, Purdue University Yujie Shan is a Ph.D. student at the School of Engineering Technology, Purdue University. He received his master’s degree in the Department of Aerospace & Mechanical Engineering from the University of Southern California in 2019. He received his bachelor’s degree in Mechanical Engineering from Yanshan University in 2016. He has
application for manufacturing.Lucas Wiese, Purdue University at West Lafayette (COE) I am a PhD student at Purdue University in the Computer & Information Technology department with a focus in AI education efforts and responsible AI development. I work in the Research On Computing in Engineering and Technology Education lab under Prof. Alejandra J. Magana.Prof. Martin Jun, Purdue University Dr. Martin Jun is a Professor of the School of Mechanical Engineering at Purdue University, West Lafayette, IN, USA. Prior to joining Purdue University, he was an Associate Professor at the University of Victoria, Canada. He received the BSc and MASc degrees in Mechanical Engineering from the University of British Columbia
manufacturing.Lucas Wiese, Purdue University at West Lafayette (COE) I am a PhD student at Purdue University in the Computer & Information Technology department with a focus in AI education efforts and responsible AI development. I work in the Research On Computing in Engineering and Technology Education lab under Prof. Alejandra J. Magana.Dr. Hector Will, Oakland City University I am an assistant professor in Creative Technologies and Mathematics. My research interests are at the intersection of Science, Engineering, Technology, and Learning. I have experience developing learning materials for emerging topics such as Machine Learning and Quantum Computing using novel technolo- gies.Dr. Alejandra J. Magana, Purdue University
Paper ID #42933Interdisciplinary Senior Design Project to Develop a Teaching Tool: CobotIntegrated Robotic Cell Learning ModuleDr. Yalcin Ertekin, Drexel University Yalcin Ertekin, Ph.D., CMfgE, CQE is a clinical professor in the College of Engineering, Department of Engineering Leadership and Society at Drexel University, Philadelphia, and serves as the Associate Department Head for Undergraduate Studies for the Engineering Technology program. He received his BS degree from Istanbul Technical University in Turkey, an MSc in Production Management from the University of Istanbul, an MS in Engineering Management, and an MS
Systems Engineering (IMSE) Department at The University of Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and computer simulation for industrial and healthcare applications. In addition, Dr. Rahman has taught various engineering courses in industrial and manufacturing engineering. His research area covers advanced quality technology, AI application in smart manufacturing, health care applications, computational intelligence/data analytics, and decision support systems. ©American Society for Engineering Education, 2024 Virtual Reality
Paper ID #44497Developing Elementary Students’ Career Awareness of Advanced ManufacturingHengtao Tang, University of South Carolina Hengtao Tang is an associate professor in Learning, Design and Technologies at the University of South Carolina. His research focuses on self-regulated learning in engineering education, especially using learning analytics and machine learning algorithms to understand the self-regulated learning process, profile self-regulated learners, and create AI-scaffolded interventions to support self-regulated learning.Dr. Ramy Harik, University of South Carolina Dr. Ramy Harik, a Fulbright Scholar, is
Paper ID #42042Design of a Monitoring System for CNC-Machining ProcessesDr. Zhenhua Wu, Virginia State University Dr. Zhenhua Wu, is currently an Associate Professor in Manufacturing Engineering at Virginia State University. He received his PhD in Mechanical Engineering from Texas A&M University. His current research interests focus on cybermanufacturing, friction stir welding.Dr. Pamela Leigh-Mack, Virginia State University Dr. Pamela Leigh-Mack is Professor of Computer Engineering, and Director of Assessment for the College of Engineering and Technology at Virginia State University. She received the B.S. degree in
Paper ID #39232Development of a SimEvents Model for Printed Circuit Board (PCB)Assembly ProcessesSiqin Dong, Old Dominion UniversityDr. Mileta Tomovic, Old Dominion University Dr. Tomovic received BS in Mechanical Engineering from University of Belgrade, MS in Mechanical Engineering from MIT, and PhD in Mechanical Engineering from University of Michigan. Dr. Tomovic is Professor of Engineering Technology, and Mechanical and AerDr. Krishnanand Kaipa, Old Dominion University Dr. Krishnanand Kaipa is an Assistant Professor and director of the Collaborative Robotics and Adaptive Machines (CRAM) Laboratory in the Department of
games for training and education where he utilizes artificial intelligence, virtual reality, and eye-tracking technologies. He received his M.Sc. and Ph.D. in Computing Science from the University of Alberta. Dr. Zhao has served as a program committee member on academic conferences such as the International Conference on the Foundations of Digital Games (FDG), the AAAI Conference on Artificial Intelligence and Interactive Digital Entertain- ment (AIIDE), and the ACM Special Interest Group on Computer Science Education (SIGCSE) Technical Symposium, and as a reviewer for the ASEE Annual Conference.Dr. Faisal Aqlan, University of Louisville Dr. Faisal Aqlan is an Associate Professor of Industrial Engineering at
engineering courses in industrial and manufacturing engineering. His research covers advanced quality technology, AI applications in smart manufacturing, health care applications, and computational intelligence/data analytics.Dr. Aditya Akundi, The University of Texas Rio Grande Valley ADITYA AKUNDI is an assistant professor in the department of Informatics and Engineering Systems at theUniversity of Texas Rio Grande Valley (UTRGV). Dr. Akundi received hisPhDat the University of Texas at El Paso (UTEP) in 2016. In his doctoral thesis, he investigated the use of information theory to understand and assess complex socio-technical systems. Before joining UTRGV, he worked as a research assistant professor in the Industrial
23, no. 1 (2011): 32-46.[5] Shahali, Edy Hafizan Mohd, Lilia Halim, Mohamad Sattar Rasul, Kamisah Osman, and Mohd Afendi Zulkifeli. "STEM learning through engineering design: Impact on middle secondary students’ interest towards STEM." EURASIA Journal of Mathematics, Science and Technology Education 13, no. 5 (2016): 1189-1211.[6] Asefer, A., and Z. Abidin. "Soft skills and graduates’ employability in the 21st century from employers’ perspectives: A review of literature." International Journal of Infrastructure Research and Management 9, no. 2 (2021): 44-59.[7] Davidson, Kate. "Employers find ‘soft skills’ like critical thinking in short supply." The wall street journal 30, no. 3 (2016).[8] Aliu, John, and Clinton
Institutional Model Analysis,”Decision Science Letters, Vol. 10, pp. 151-162.[6] Souto-Iglesias, Antonio, Israel Martinez-Barrios, Mirko Toman, Aaron Fernandez-Coracho,and Rafael Guadalupe-Garcia (2013) “Integrated Learning of Production Engineering SoftwareApplications in a Shipbuilding Context,” International Journal of Engineering Education, Vol.29, No. 6, pp. 1400-1409.[7] Verma, Alok, Daniel Dickerson, and Sue McKinney (September 2011) “Engaging Students inSTEM Careers with Project-Based Learning – MarineTech Project,” Technology and EngineeringTeacher, pp. 25-31.[8] Leon, Alejandro and Marta Pena, (2022) “Gamification Tools in the Learning of Shipbuildingin the Undergraduate Marine Engineering Education,” Computer Applicatins in
Paper ID #41899Interactive and Web-based Animation Modules and Case Studies for AutomatedSystem DesignDr. Sheng-Jen Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a Professor in the Department of Engineering Technology and Industrial Distribution and a member of the Graduate Faculty at Texas A&M University, College Station, TX. His research interests include automation, robotics, cyber-manufacturing and Industry 4.0; optical/infrared imaging and instrumentation; micro/nano manufacturing; and design of technology for engineering education. He is also the Director of the Rockwell Automation Laboratory at
Paper ID #39289Design and Manufacturing Innovations in Modular Drone Design EnabledbyAdditive Manufacturing: Customizable Power Distribution BoardDr. Firas Akasheh, Tuskegee University Dr. Akasheh has been with the Mechanical Engineering Department at Tuskegee University since 2008. His primary interest is in the area of solid mechanics and manufacturing as well as the integration of best practices in engineering education.Stephen BakerDr. Mandoye Ndoye, Tuskegee University Mandoye Ndoye received the B.S.E.E. degree from the Rensselear Polytechnic Institute, Troy, NY, in 2002, the MS degree in Mathematics and the Ph.D
Paper ID #42332Productivity Improvement Through Assembly Line BalancingProf. Somnath Chattopadhyay, Cleveland State University Dr. Somnath Chattopadhyay teaches mechanics, materials, manufacturing and design at Cleveland State University. He has authored a text on Pressure Vessel s and was an Associate Editor of the ASME Journal of Pressure Vessel Technology. His research interests are in the areas of fatigue and fracture, pressure vessel desgnnand analysis, and manufacturing. ©American Society for Engineering Education, 2024 A Case Study of Productivity Improvement Through Assembly Line
Paper ID #41117Using Simulation software Rockwell Arena for effective teaching of ValueStream Mapping in Undergraduate Lean Six Sigma Class.Dr. SWAPNIL PATOLE, Mississippi State University Dr. Patole is currently working as assistant professor of Industrial Technology in the Department of Industrial Technology, Instructional Design and Community College Leadership (ITIDCCL) at Mississippi State University. He has a Bachelors and a Masters degree in Mechanical Engineering and a PhD in Industrial and Systems Engineering. Prior to working at MSU, he has 5 years of industrial experience working at Continental Automotive, Illinois