 |
Professor Michael Yu Wang has been with CUHK since 2000. Prior to joining CUHK, he had been with the Department of Mechanical Engineering of the University of Maryland at College Park for ten years, where he was an Associate Professor. Professor Wang received his B.S degree in Mechanical and Manufacturing Engineering from Xi'an Jiaotong University ( China ) (1982), M.S. degree in Engineering Mechanics from Pennsylvania State University (1985), and Ph.D. in Mechanical Engineering from Carnegie Mellon University (1989). He is an Editor of IEEE Transactions on Automation Science and Engineering. He is also a Distinguished Lecturer IEEE Robotics and Automation Society and an ASME fellow. Contact: yuwang@acae.cuhk.edu.hk |
 |
Mike Tao Zhang is a Staff Engineer at Intel Corporation in Arizona , USA . He received the M.S. (2000) and the Ph.D. (2001) degrees in Industrial Engineering and Operations Research from UC Berkeley. He has been a Senior Engineer, a Group Leader, and a Department Manager at various Intel sites. He published over 40 tech papers and authored 3 book and book chapters. Mike serves on the Editorial Board of IEEE Transactions on Automation Science and Engineering. He is also a Senior Member of IEEE and IIE ( Institute of Industrial Engineers). Contact: mike.zhang@intel.com |
Automation plays an increasingly important role in the global economy and in our daily lives. Engineers strive to combine automated devices with mathematical and organizational tools to create systems for a rapidly expanding range of applications and human activities. As the main dissemination means of the IEEE Robotics and Automation Society (RAS), RAM devotes this special issue to highlight the latest progresses made at various forefronts of the broad area of automation science and engineering. This special issue will complement the newly established IEEE Transactions on Automation Science and Engineering (T-ASE) that publishes archival journal papers on the abstractions, algorithms, theory, methodologies, models, systems, and case studies to significantly advance efficiency, quality, productivity, and reliability for society. Similar to T-ASE, the coverage of this special Magazine issue should go beyond Automation's roots in mass production and includes many new applications areas. Articles, however, should be presented in a magazine style for easy digestion and a broader readership. The content could describe novel applications, highlight practically oriented issues, or present surveys and reviews that summarize the state-of-the-art and practice of automation science and engineering.
We particularly welcome interdisciplinary applications relevant to new automation areas, such as Biotechnology, pharmaceutical, and health care; Home, service, and retail; Construction, transportation, and security; Manufacturing, maintenance, and supply chains; and Food handling and processing. Research topics also include automation and intelligent machines/systems in structured environments and the explicit structuring of environments, and at the Operational/Enterprise levels such as System Modeling, Analysis, Performance Evaluation; Planning, Scheduling, Coordination; Risk Management; and Supply Chain Management. Papers should especially focus on novel applications of automation or surveys and reviews summarizing the state-of-the-art and practice of automation science and engineering.