Iman Nodozi is a Ph.D. student in the Department of Electrical and Computer Engineering at the University of California, Santa Cruz. His research interests include Hybrid Systems, Convex Optimization, Nonlinear Systems, Adaptive Control, Optimal Control, Robust Control, Linear Matrix Inequality, and Phase-Locked Loops. He holds a master’s degree in Electrical Engineering, Control, from Imam Khomeini International University, Iran. For the Master Thesis, he worked on “Nonlinear Hybrid Systems Control via Linear Matrix Inequalities.” Now, he is working under the supervision of Professor Ricardo Sanfelice.
Iman Nodozi, and Mehdi Rahmani. “LMI-based mixed-integer model predictive control for Hybrid systems.” International Journal of Control (2019): 1-10. here
Iman Nodozi, and Mehdi Rahmani. “LMI-based model predictive control for switched nonlinear systems.” Journal of Process Control” 59 (2017) 49-58. here
Mehdi Rahmani, and Iman Nodozi. “Phase-locked loops redesign by the Lyapunov theory.” Electronics Letters 51.21 (2015): 1664-1666. here