Michael S. Branicky

Michael Branicky
  • Professor
  • Electrical Engineering & Computer Science (EECS)

Contact Info

Office Phone:
Department Phone:
Eaton Hall, room #3046
Nichols Hall, room #237


Michael S. Branicky is a Professor of Electrical Engineering and Computer Science at the University of Kansas. Prior to joining KU in July 2013, he was Professor and Chair of Electrical Engineering and Computer Science at Case Western Reserve University in Cleveland. Branicky received a B.S. (1987) and M.S. (1990) in Electrical Engineering and Applied Physics from Case Western Reserve and a Sc.D. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (1995). He re-joined Case Western Reserve as a faculty member in 1997. He has held research positions at MIT's AI Lab, Wright-Patterson AFB, NASA Ames, Siemens Corporate Research (Munich), and Lund Institute of Technology's Dept. of Automatic Control. Branicky's research interests include hybrid systems, intelligent control, and learning, with applications to robotics, manufacturing, control over networks, and biology. In these areas, he has published over 100 journal and conference articles, delivered over 90 invited lectures at conferences, companies, and universities, and been involved in over $7 million of external awards from government agencies and corporations. He has won several "Best Video" awards and best paper nominations/awards in robotics and his top papers in hybrid systems and networked control have over 2000 citations each. From July 2008 to June 2010, Branicky was a Program Director at the National Science Foundation in Computer Systems Research and Cyber-Physical Systems, where he won the NSF Director's Superior Accomplishment Award. From 2011-2013, he is serving NSF as an Expert in the National Robotics Initiative (NRI). The NRI team received the Director's Award for Collaborative Integration in 2012.


systems & control (particularly hybrid systems and networked control); artificial intelligence (including motion planning and learning); applications to robotics, flexible manufacturing, biology

Research interests:

  • robotics
  • control
  • hybrid systems
  • networked control systems
  • cyber-physical systems