Ph.D. 1993, Mechanical Engineering, University of California at Berkeley
M.S. 1991, Mechanical Engineering, University of California at Berkeley
B.Tech. 1989, Mechanical Engineering, Indian Institute of Technology, Madras, India
Rajesh Rajamani’s research focuses on the design of estimation algorithms, sensors and controllers for smart and autonomous systems.
Professor Rajamani's research focuses on the design of estimation algorithms, sensors and controllers for smart and autonomous systems. Specific major areas of research have included:
Estimation algorithms and control systems for intelligent vehicles, active sensing and estimation on smart bicycles, imminent collision detection sensors, tracking systems for complex traffic on urban roads and highways, and road condition monitoring transducers.
Fundamental estimation algorithms for globally stable state estimation in nonlinear systems, for fault diagnostics, and for unknown input estimation.
Wearable sensors, automated monitoring of disease status, estimation algorithms for analysis of arm and leg motions, and activity classification.
Design of handheld diagnostic instruments and associated estimation algorithms for medical applications.
A. Zemouche, F. Zhang, F. Mazenc and R. Rajamani, “High Gain Nonlinear Observer with Lower Tuning Parameter,” accepted for publication as a full paper in IEEE Transactions on Automatic Control, to appear in Vol. 64, No. 8, August 2019.
W. Jeon, A. Zemouche and R. Rajamani, “Tracking of Vehicle Motion on Highways and Urban Roads Using a Nonlinear Observer,” IEEE/ASME Transactions on Mechatronics, Vol. 24, No. 2, pp. 644-655, April 2019.
W. Jeon and R. Rajamani, “Rear Vehicle Tracking on a Bicycle Using Active Sensor Orientation Control,” IEEE Transactions on Intelligent Transportation Systems, Vol. 19, No. 8, pp. 2638-2649, August 2018.
Y. Zhang, A.S. Sezen, M. Ahmadi, X. Cheng and R. Rajamani, “Paper Based Supercapacitive Mechanical Sensors,” Scientific Reports, a Nature journal, Vol. 8, Article 16284, November 2018.
S. Zhang, R. Rajamani, and A. S. Sezen, “Wearable Water Content Sensor based on Ultrasound and Magnetic Sensing,” Annals of Biomedical Engineering, Vol. 46, No. 12, pp. 2079-2090, December 2018.