Difference between revisions of "Expanded bio"

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Richard M. Murray received the B.S. degree in Electrical Engineering from California Institute of Technology in 1985 and the M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences from the University of California, Berkeley, in 1988 and 1991, respectively. He joined the faculty at Caltech in 1991 in Mechanical Engineering and helped found the Control and Dynamical Systems program in 1993.  In 1998-99, Professor Murray took a sabbatical leave and served as the Director of Mechatronic Systems at the United Technologies Research Center in Hartford, CT.  Upon returning to Caltech, Murray served as the Division Chair (dean) of Engineering and Applied Science at Caltech from 2000-2005, the Director for Information Science and Technology (IST) from 2006-2009, and interim Division Chair from 2008-2009.  He is currently the Thomas E. and Doris Everhart Professor of Control & Dynamical Systems and Bioengineering at Caltech and an elected member of the National Academy of Engineering (2013). Murray's research is in the application of feedback and control to networked systems, with applications in biology and autonomy. Current projects include analysis and design biomolecular feedback circuits; specification, design and synthesis of networked control systems; and novel architectures for control using slow computing.
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Richard M. Murray received the B.S. degree in Electrical Engineering from California Institute of Technology in 1985 and the M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences from the University of California, Berkeley, in 1988 and 1991, respectively. He joined the faculty at Caltech in 1991 in Mechanical Engineering and helped found the Control and Dynamical Systems program in 1993.  In 1998-99, Professor Murray took a sabbatical leave and served as the Director of Mechatronic Systems at the United Technologies Research Center in Hartford, CT.  Upon returning to Caltech, Murray served as the Division Chair (dean) of Engineering and Applied Science at Caltech from 2000-2005, the Director for Information Science and Technology (IST) from 2006-2009, and interim Division Chair from 2008-2009.  He is currently the Thomas E. and Doris Everhart Professor of Control & Dynamical Systems and Bioengineering at Caltech and an elected member of the National Academy of Engineering (2013). Murray's research is in the application of feedback and control to networked systems, with applications in biology and autonomy. Current projects include analysis and design biomolecular feedback circuits, synthesis of discrete decision-making protocols for reactive systems, and design of highly resilient architectures for autonomous systems.

Revision as of 17:00, 19 January 2016

Richard M. Murray received the B.S. degree in Electrical Engineering from California Institute of Technology in 1985 and the M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences from the University of California, Berkeley, in 1988 and 1991, respectively. He joined the faculty at Caltech in 1991 in Mechanical Engineering and helped found the Control and Dynamical Systems program in 1993. In 1998-99, Professor Murray took a sabbatical leave and served as the Director of Mechatronic Systems at the United Technologies Research Center in Hartford, CT. Upon returning to Caltech, Murray served as the Division Chair (dean) of Engineering and Applied Science at Caltech from 2000-2005, the Director for Information Science and Technology (IST) from 2006-2009, and interim Division Chair from 2008-2009. He is currently the Thomas E. and Doris Everhart Professor of Control & Dynamical Systems and Bioengineering at Caltech and an elected member of the National Academy of Engineering (2013). Murray's research is in the application of feedback and control to networked systems, with applications in biology and autonomy. Current projects include analysis and design biomolecular feedback circuits, synthesis of discrete decision-making protocols for reactive systems, and design of highly resilient architectures for autonomous systems.