Mayuresh Kothare is the R. L. McCann Professor of Chemical and Biomolecular Engineering at Lehigh University, and serves as visiting professor of biomedical engineering at Johns Hopkins School of Medicine. His interdisciplinary areas of interest span the problems of constrained and optimal predictive control theory, robustness analysis, MEMS and microchemical systems, control of microsystems, embedded control of biomedical systems, neuroengineering and closed-loop neuroprosthetic systems.

In 2012, Kothare became one of just two chemical engineers named as Institute of Electrical and Electronics Engineers (IEEE) Fellows. He was cited by IEEE for "contributions to multivariable constrained control systems and model predictive control." He is also recipient of an NSF CAREER award, and was an invited attendee at the 2008 Frontiers of Engineering symposium of the National Academy of Engineering.

Kothare has served as associate editor of AUTOMATICA and the IEEE Transactions on Automatic Control, as well as guest editor for Journal of Process Control and the IFAC-sponsored conference DYCOPS in 2010. In 2011, he was appointed deputy editor-in-chief of IFAC PapersOnLine, an on-line archive of all peer-reviewed conference proceedings sponsored by the International Federation of Automatic Control (IFAC). Kothare is a member of the IEEE, American Institute of Chemical Engineers, Sigma Xi, and the American Association for the Advancement of Science. He is also the 2013 Chair of the Computing and Systems Technology (CAST) division of AIChE.

Mayuresh Kothare
Mayuresh V. Kothare
R. L. McCann Professor and Associate Dean for Research
mvk2@lehigh.edu
(610) 758-6654
Packer Campus
Lehigh University
Whitaker Laboratory, Room 546
5 East Packer Avenue
Bethlehem, PA 18015

Education

Ph.D., California Institute of Technology
M.S., California Institute of Technology
B.Tech., Indian Institute of Technology (Bombay)

Areas of Research

Neuroengineering, Modeling of Biological Systems, Dynamic Systems and Control, Embedded Systems, Model-based Optimal Control, Nonlinear Systems