You can stay in touch with all things SCL through our news feed or attending one of our upcoming events. SCL includes some of the world’s most experienced researchers in their fields who enjoy sharing their perspectives on a wide variety of topics. Our faculty is world-renowned and our students are intellectually curious and our alumni can be found around the globe in leadership positions within a wide variety of fields.
SCL reaches out to students, educators, businesses and the logistics community in an effort to increase exposure and accessibility to supply chain & logistics expertise through a variety of educational programs, partnership opportunities and outreach activities.
New ideas and new tools are born in the robust research environment supported by the Supply Chain & Logistics Institute. Solutions and improvements produced by researchers provide businesses with the high level of competitiveness that is critical to their success in the marketplace both at home and overseas.
Thousands of logistics and supply chain management professionals have advanced their knowledge—and their companies’ profitability—with the education they obtained through the courses and graduate degree programs offered through the Supply Chain & Logistics Institute and Stewart School of Industrial and Systems Engineering.
Magnus Egerstedt is the executive director for the Institute for Robotics and Intelligent Machines at the Georgia Institute of Technology. He is a professor and the Julian T. Hightower Chair in Systems and Controls in the School of Electrical and Computer Engineering, with secondary appointments in the Woodruff School of Mechanical Engineering, the School of Interactive Computing, and the Guggenheim School of Aerospace Engineering.
He received the M.S. degree in Engineering Physics and the Ph.D. degree in Applied Mathematics from the Royal Institute of Technology, Stockholm, Sweden, the B.A. degree in Philosophy from Stockholm University, and was a Postdoctoral Scholar at Harvard University.
Dr. Egerstedt conducts research in the areas of control theory and robotics, with particular focus on control and coordination of complex networks, such as multi-robot systems, mobile sensor networks, and cyber-physical systems. Magnus Egerstedt is a Fellow of the IEEE, and has received a number of teaching and research awards, including the Ragazzini Award from the American Automatic Control Council, the Outstanding Doctoral Advisor Award and the HKN Outstanding Teacher Award from Georgia Tech, and the Alumni of the Year Award from the Royal Institute of Technology.