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November 29, 2006
Dr. Ken Goldberg, Professor of Industrial Engineering and Operations Research, UC Berkeley, and Founding Chair, Advisory Board, IEEE Transactions on Automation Science, 12-1-06
Dr. Ken Goldberg, Professor of Industrial Engineering and Operations Research, UC Berkeley, and Founding Chair, Advisory Board, IEEE Transactions on Automation Science. Dr. Ken Goldberg is an artist and professor at UC Berkeley. He is Professor of Industrial Engineering and Operations Research, with an appointment in Electrical Engineering and Computer Science. He received his Ph.D. in Computer Science from Carnegie Mellon University in 1990 and studied at the University of Pennsylvania, Edinburgh University, and the Technion. From 1991–1995 he taught at the University of Southern California, and in Fall 2000 was visiting faculty at MIT Media Lab.
Dr. Goldberg and his students work in two areas: Geometric Algorithms for Automation, and Networked Robots. In the first category, he develops algorithms for feeding, sorting, and fixturing industrial parts, with an emphasis on mathematically rigorous solutions that require a minimum of sensing and actuation so as to reduce costs and increase reliability. In the area of Networked Robots, Dr. Goldberg and colleagues developed the first robot publicly operable via the Internet (in 1994). He has published over 100 research papers and edited four books.
In 2004, Dr. Goldberg co-founded the IEEE Transactions on Automation Science and Engineering and is Founding Chair of its Advisory Board. He was named National Science Foundation Young Investigator in 1994 and NSF Presidential Faculty Fellow in 1995. He is the recipient of the Joseph Engelberger Award (2000), the IEEE Major Educational Innovation Award (2001), and was elected IEEE Fellow in 2005.
IEEE Transactions on Automation Science and Engineering (T-ASE) publishes foundational research on Automation: scientific methods and technologies that improve efficiency, productivity, quality, and reliability, specifically for methods, machines, and systems operating in structured environments over long periods, and the explicit structuring of environments.
Its coverage will go beyond Automation's roots in mass production and include many new applications 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 includes topics related to robots and intelligent machines/systems in structured environments and the explicit structuring of environments, and topics at the Operational/Enterprise levels such as System Modeling, Analysis, Performance Evaluation; Planning, Scheduling, Coordination; Risk Management; and Supply Chain Management. T-ASE integrates knowledge across disciplines and industries.
Posted by David Lemberg at November 29, 2006 08:57 AM Return to SCIENCE AND SOCIETY home page