No próximo dia 16 de maio, o Departamento de Engenharia Elétrica e de Computação da EESC promove a palestra com Prof. Dr. Hsieh, intitulada Cyber Physical Systems and Industry 4.0: Perspectives and Future Directions.
O evento terá início às 15 horas, no Anfiteatro Armando Toshio Natsume no SEL, e é aberto a todos os interessados.
Título: CYBER PHYSICAL SYSTEMS AND INDUSTRY 4.0: PERSPECTIVES AND FUTURE DIRECTIONS
Palestrante: Sheng-Jen (“Tony”) Hsieh¹
Local: Anfiteatro Natsume (SEL-EESC)
¹ Director, Rockwell Automation Laboratory; Professor, Dept. of Engineering Technology and Industrial
Distribution, Texas A&M University, College Station, USA
Advances in communication technology, computational modeling, and control algorithms have enabled the transformation of data into knowledge and control of machines and systems in real-time with high accuracy via smart sensory devices and wireless networks. Such systems are known as cyber-physical systems (CPS). Cyber-enabled Manufacturing (CeM) is a CPS that focuses on manufacturing machines and systems. As information technology becomes robust and mature, developed countries such as Germany are promoting the concept of Industry 4.0. The intent is to integrate designers, manufacturers, and consumers in a seamless way to increase productivity, reliability and customer satisfaction. This talk will describe key CPS, CeM and Industry 4.0 concepts. Existing work will be covered, including an ongoing project to build a CPS for thermal stress prevention in fused deposition modeling (FDM) based 3D printing processes and smart traffic light control system design. Potential research topics will be
included as future directions.
Keywords: smart machine, mass customized automated assembly system, cyber-physical system, Industry 4.0
Dr. Hsieh is Professor and Graduate Faculty Member and Director of the Rockwell Automation Laboratory in the College of Engineering at Texas A&M University, College Station, TX. His areas of research include automated assembly system design, control, integration, diagnosis, and preventative maintenance; optical and infrared imaging for product/process characterization and failure prediction; micro/nano manufacturing; and design of technology for automation and robotics education. He has been awarded several major grants totaling over $5.5M in research funding. These efforts have resulted in 202 publications in refereed journals and conference proceedings. Dr. Hsieh received the Ph.D. in Industrial Engineering, with a minor emphasis in Computer Science, from Texas Tech University. He was named Honorary International Chair Professor for National Taipei University of Technology in Taipei, Taiwan, for 2015-23. At Texas A&M, he was named Halliburton Faculty Fellow in 2005, Halliburton Professor in 2011, and William and Montine P. Head Fellow in 2014. He received a National Science Foundation CAREER Award in 2003.