Ph.D. Student in Electrical and Computer Engineering (ECE): Sérgio Daniel Goncalves Melo Pequito

Sergio Pequito 


Advisors: A. Pedro Aguiar (FEUP) and Soummya Kar (CMU)
Research Interests: Nonlinear Estimation, Nonlinear Optimization and Hybrid Systems

Sérgio Pequito is a doctoral student in the ECE department at Carnegie Mellon University, and the Institute for Systems and Robotics (ISR), at the Instituto Superior Técnico of the Universidade de Lisboa (IST-UL) in Lisbon. He received his BSc and MSc in Applied Mathematics from the IST-UL. His domain of application pass through Electronic Engineering, being is master thesis in the development of a new kind of Nonlinear Observer called: Entropy Penalized Minimum Energy Estimator. Pequito’s research interests are mainly in hybrid systems, nonlinear optimization and nonlinear estimation. Under the supervision of A. Pedro Aguiar (FEUP) and Soummya Kar  (CMU), the main goal of his Ph.D. research is the study of new probabilistic model checker for hybrid systems and applications to large-scale networked control. In his free time, he likes to go to cinema and theatre, play volleyball, ping pong and tennis.