Tiago ROCHA GONÇALVES

R&D engineer

RITS team, Inria Paris

Bio

I am a R&D engineer at RITS team, Inria Paris. My current research topics are deep reinforcement learning, decision and trajectory planning for autonomous vehicles. In 2022, I have received my PhD degree in network, information and communication from Université Paris-Saclay, CentraleSupélec, under the supervision of Dr. Salah E. Elayoubi and Dr. Vineeth S. Varma at Laboratoire des signaux et système (L2S), France. My PhD thesis is entilted Robust control of platooning systems over imperfect wireless channels. In 2018, I have received a MSc degree in electrical engineering with emphasis in control and automation from Universidade Estadual de Campinas (UNICAMP), Brazil, under the supervision of Dr. Jose C. Geromel and Dr. Gabriela W. Gabriel. In 2016, I received my B.S. degree in electrical engineering from Federal University of Rio Grande do Norte (UFRN), Brazil, with Laureate Mention (rank 1/60+).


News

07 / 2022
I attended the Easter Europe Machine Learning (EEML) 2022 summer school in Vilnius, Lithuania.
05 / 2022
I started a position as a R&D engineer at RITS team focusing on decision and trajectory planning for autonomous vehicles.
01 / 2022
I finished my PhD thesis, Robust control of platooning systems over imperfect wireless channels, in L2S laboratory at CentraleSupélec, France.

Publications

Journal papers

  1. T. R. Gonçalves, R. F. Cunha, V. S. Varma, and S. E. Elayoubi, ``Fuel-efficient switching control for platooning systems with a deep reinforcement learning approach," in IEEE Transactions on Intelligent Transportation Systems, (under review), 2022.
  2. T. R. Gonçalves, V. S. Varma, and S. E. Elayoubi, ``Relay-assisted platooning in wireless networks: a joint communication and control approach," in IEEE Transactions on Vehicular Technology, accepted, 2022.
  3. T. R. Gonçalves, Gabriela W. Gabriel, and José C Geromel, ``Differential linear matrix inequalities optimization," in IEEE Control Systems Letters, vol. 3, no. 2, 2019, pp. 380–385.
  4. Gabriela W. Gabriel, T. R. Gonçalves, and José C Geromel, ``Optimal and robust sampled-data control of Markov jump linear systems: A differential LMI approach," in IEEE Transactions on Automatic Control, vol. 63, no. 9, 2018, pp. 3054-3060.
Conference papers

  1. R. F. Cunha, T. R. Gonçalves, V. S. Varma, S. E. Elayoubi, and M. Cao, ``Reducing fuel consumption in platooning systems through reinforcement learning," in Proc. 6th IFAC Conference on Intelligent Control and Automation Sciences (ICONS), 2022, pp. 99-104.
  2. T. R. Gonçalves, V. S. Varma, and S. E. Elayoubi, ``Performance and design of robust platoons under different communication technologies," in Proc. IEEE Vehicle Technology Conference 2021-Spring (VTC), 2021, pp. 1–7.
  3. T. R. Gonçalves, V. S. Varma, and S. E. Elayoubi, ``Performance of vehicle platooning under different V2X relaying methods," in Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications 2021 (PIMRC), 2021, pp. 1–6.
  4. T. R. Gonçalves, V. S. Varma, and S. E. Elayoubi, `` Vehicle platooning schemes considering V2V communications: a joint communication/control approach," in Proc. IEEE Wireless Communications and Networking Conference (WCNC), 2020, pp. 1–6.
  5. Gabriela W. Gabriel, José C Geromel, T. R Gonçalves, ``Optimal sampled-data control of Markov jump linear systems through differential LMIs," in Proc. IEEE 56th Annual Conference on Decision and Control (CDC), 2017, pp. 6247–6252.
PhD Thesis
Tiago Rocha Gonçalves. Robust control of platooning systems over imperfect wireless channels. Université Paris-Saclay/CentraleSupélec, 2021.

Copyright © Tiago Rocha Gonçalves  /  2022