Eduardo Camponogara


Eduardo Camponogara received a Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University in 2000. He is a professor in the Automation and Systems Engineering Department, where he is performing research in mathematical optimization, distributed control and their applications in energy, oil production, and transportation systems.


  • Caio Giuliani, Ph.D. student, research topic on derivative-free distributed optimization and control algorithms.
  • Leonardo Salsano de Assis, Ph.D. student, research topic on operational management of crude oil supply: models and algorithms.
  • Marco Aurélio Schmitz de Aguiar, Ph.D. student, research topic on distributed optimal control.
  • Thiago Lima Silva, Ph.D. student, research topic on models and algorithms for short- and medium-term optimization of oil production systems.
  • Ricardo Santos da Silva, Master’s student, research topic on distributed dual algorithms for model predictive control.
  • Bruno Eduardo Benetti, Master’s student, research topic on satisfacing infinite-horizon model predictive control (SIHMPC).
  • Daniella Losso Costa, research topic on complexity-bounded model synthesis.


  • Angelo Frigeri de Araujo, research topic on distributed optimal control applied to traffic and transportation systems.
  • Willian Galvani, research topic on derivative free algorithms for simulator tunning and optimization.
  • Jean Jordanou, research topic on echo state network for online control.
  • Ígor Yamamoto, research topic on implementation and test of algorithms for satisficing infinite-horizon MPC.


  • Marcelo Lopes de Lima, “Distributed satisficing MPC,” 2013. Now at Petrobras Research Center.
  • Helton Fernarndo Scherer, “Distributed MPC of dynamic networks: interior-point algorithm and applications,” 2014. Now at Itaipu Technology Center.
  • Ríad Mattos Nassiffe, “Frameworks for real-time systems reconfiguration with QoS, under energy and temperature constraints,” 2015. Now at IFSC.
  • Vinicius Ramos Rosa, “Design and optimization of oilfied subsa infrastructures with manifold placement and pipeline layout,” 2016. Now at Petrobras.


  • “Production optimization of offshore multi-reservoir oilfields: challenges, research and development,” FINEP, Rio de Janeiro, March 2016.
  • “Distributed optimal control: algorithms and applications,” Brazil-Sweden Excellence Seminar, Brasilia, May 2016.
  • “An integrated methodology for production optimization from multiple offshore reservoirs in the Santos Basin,” NTNU, Norway, October 2016.
  • “Distributed optimal control: frameworks and recent developments,” IBM Brazil, Rio de Janeiro, January 2017.