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Julian Barreiro-Gomez

Julian Barreiro-Gomez received his MSc. degree in Electrical Engineering and the Ph.D. degree in Engineering from Universidad de Los Andes (UAndes), Bogota, Colombia, in 2013 and 2017, respectively. He received the Ph.D. degree (cum laude) in Automatic Control, Robotics and Computer Vision from the Technical University of Catalonia (UPC), Barcelona, Spain, in 2017, the Best Ph.D. Thesis in Control Engineering 2017 award from the Spanish National Committee of Automatic Control (CEA) and Springer, and the Best Ph.D. Thesis in Europe in the Field of Control for Complex and Heterogeneous Systems 2017 awarded by the European Embedded Control Institute (EECI). Since 2018, he is a Senior Member of the IEEE. He is co-author of the book “mean-field-type games for engineers” published by CRC Press. He is currently a Post-Doctoral Associate in the Center on Stability, Instability, and Turbulence (SITE) at the New York University in Abu Dhabi (NYUAD), United Arab Emirates. Before joining SITE, he was with the Learning & Game Theory Laboratory (L&G-Lab) at the same university. His main research interests are: Optimal Control, Dynamic Games, Machine Learning, and Engineering Applications.

Scientific Performance

2 Books · 35 Journal Papers · 28 Conference Papers · 3 Book Chapters · 16 Honors & Awards

Experience

Post-Doctoral Associate (2020-Present) Research Center on Stability, Instability, and Turbulence (SITE). New York University – Abu Dhabi Campus (NYUAD), Abu Dhabi, UAE.  Principal Investigator: Prof. Nader Masmoudi  

Post-Doctoral Associate (2017-2020) Learning & Game Theory Laboratory (L&G Lab), Engineering Division. New York University – Abu Dhabi Campus (NYUAD), Abu Dhabi, UAE.   Principal Investigator: Prof. Hamidou Tembine
Invited Lecturer M.Sc. Electronics Engineering.
(February-June 2023)  48-hour M.Sc. course entitled “Neural Networks and Reinforcement Learning for Control”
(March-May 2022) 48-hour M.Sc. course entitled “Game Theory”
(October-December 2021) 48-hour M.Sc. course entitled “Intelligent Control“
(April 2021)  8-hour M.Sc. course entitled “Risk-aware Control for Engineers“
Universidad de Nariño. Pasto, Colombia Host: Prof. Andres Pantoja.
Invited Lecturer (September 2020) Automation, Electronics, and Telecommunication Engineering. 8-hour Ph.D. course entitled “Mean-Field-Type Games for Engineers“ Universidad de Sevilla. Sevilla, Spain Host: Prof. Jose M. Maestre and Prof. Carlos Bordons
Associate Researcher (2014-2017) Research on Evolutionary Games and Model Predictive Control applied to large-scale systems Institut de Robòtica i Informàtica Industrial (IRI). Barcelona, Spain
Teaching Assistant (2012-2013) Control theory, automation of industrial processes, and control laboratory Universidad de los Andes. Bogota, Colombia

Education

(2014-2017) Ph.D., Automatic Control, Robotics and Computer Vision, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, Thesis grade: Excellent Cum Laude. Supervision: Prof. Carlos Ocampo-Martinez and Prof. Nicanor Quijano Committee:   Prof. Bart De Schutter (Delft University of Technology), Prof. Olaru Sorin (Centrale Supélec), Prof. Robert Griñó (Universitat Politècnica de Catalunya)
(2014-2017) Ph.D., Engineering, Universidad de los Andes (UniAndes), Bogota, Colombia, Thesis grade: 5.0/5.0, GPA : 4.79/5.0. Supervision: Prof. Nicanor Quijano and Prof. Carlos Ocampo-Martinez Committee:   Prof. Bart De Schutter (Delft University of Technology), Prof. Olaru Sorin (Centrale Supélec), Prof. Alain Gauthier (Universidad de los Andes)

(2012-2013) M.Sc. Electrical Engineering, Universidad de los Andes (UniAndes), Bogota, Colombia, GPA : 4.76/5.0. Supervision: Prof. Nicanor Quijano
(2006-2010) B.S. Electronics Engineering, Universidad Santo Tomas (USTA), Bogota, Colombia, GPA : 4.42/5.0. Supervision: Prof. Jairo Soriano

Selected Publications (see full list here)

Books

  1. J. Barreiro-Gomez and H. Tembine. Mean-Field-Type Games for Engineers. CRC Press Taylor & Francis Group, ISBN/EAN: 0367566125/9780367566128 pp. 528. November, 2021. [link]
  2. J. Barreiro-Gomez. The Role of Population Games in the Design of Optimization-Based Controllers: A Large-scale Insight. Springer Cham,  2019. [link]       
               

Selected Journal Publications

  1. J. Barreiro-Gomez. Stochastic Differential Games for Crowd Evacuation Problems: A Paradox.
    Automatica, 140, 110271, 2022. [link] 
  2. A. Ramirez-Jaime, J. Barreiro-Gomez, L. Longas, J. Echeverry-Mejia, and H. Tembine. Positive-Pressure Ventilation: Modeling, Validation, and Stochastic Control of Mean-Field Type.
    Automatica, 144 (2022), 110472, 2022. [link]
  3. J. Barreiro-Gomez, S. E. Choutri, and H. Tembine. Risk-Awareness in Multi-Level Building Evacuation with Smoke: Burj Khalifa Case Study.
    Automatica, 129, 109625, 2021. [link]
  4. J. Barreiro-Gomez, T. E. Duncan, and H. Tembine. Discrete-Time Linear-Quadratic Mean-Field-Type Repeated Games: Perfect, Incomplete, and Imperfect Information.
    Automatica, 12(2020):108647, 2020. [link]
  5. J. Barreiro-Gomez, T. E. Duncan, B. Pasik-Duncan, and H. Tembine. Semi-Explicit Solutions to some Non-Linear Non-Quadratic Mean-Field-Type Games: A Direct Method.
     IEEE Transactions on Automatic Control, 65(6):2582-2597, 2020. [link]
  6. J. Barreiro-Gomez, T. E. Duncan, and H. Tembine. Co-opetitive Linear-Quadratic Mean-Field-Type Games.
    IEEE Transactions on Cybernetics. 50(12):5089-5098, 2020. [link]
  7. J. Barreiro-Gomez, T. E. Duncan, and H. Tembine. Linear-Quadratic Mean-Field-Type Games: Jump-Diffusion Process with Regime Switching.
    IEEE Transactions on Automatic Control, 64(10):4329-4336, 2019. [link]
  8. J. Barreiro-Gomez and H. Tembine. Constrained Evolutionary Games by Using a Mixture of Imitation Dynamics.
    Automatica, 97(2018):254-262, 2018. [link]
  9. J. Barreiro-Gomez, N. Quijano, and C. Ocampo-Martinez. Constrained distributed optimization: A population dynamics approach.
    Automatica, 69(2016): 101-116, 2016. [link]

Selected Honors and Awards (see full list here)

  1. IEEE Senior Member, elevation to this grade in The Institute of Electrical and Electronics Engineers (IEEE), 2019. [file]
  2. ISA Transactions Best Paper Award 2018 in Recognition to the best paper published in ISA Transactions in the previous year, as determined by a review committee with the paper “Dynamical tuning for MPC using population games: A water supply network application” ISA Transactions, Vol. 69, pages 175-186, July 2017.
  3. EECI Ph.D Award in Recognition to the Best Ph.D. Thesis in Europe in the Field of Control for Complex and Heterogeneous Systems 2017, European Embedded Control Institute (EECI), awarded during European Control Conference (ECC) 2018, Limassol, Cyprus, 2018. [file]-[link]
  4. Best Ph.D. Thesis in Control Engineering 2017 Award, Spanish National Committee of Automatic Control (CEA) and Springer, 2017. [file]
  5. Excellent Cum Laude, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, 2017.

Some Engineering Applications

Distributed Coordination of Multi-Agent Systems

 

  • J. Barreiro-Gomez, I. Mas, J. I. Giribet, P. Moreno, C. Ocampo-Martinez, R. Sanchez-Peña, N. Quijano. Distributed Data-Driven UAV Formation Control Via Evolutionary Games: Experimental Results. Journal of The Franklin Institute, 358(10):5334-5352, 2021. [link]
  • J. Barreiro-Gomez and H. Tembine. Constrained Evolutionary Games by Using a Mixture of Imitation Dynamics. Automatica, 97(2018):254-262, 2018. [link]
  • J. Barreiro-Gomez, I. Mas, C. Ocampo-Martinez, R. Sánchez Peña and N. Quijano. Distributed formation control of multiple unmanned aerial vehicles over time-varying graphs using population games, 55th IEEE Conference on Decision and Control (CDC), 2016, Las Vegas, EEUU, pp. 5245-5250, IEEE. [link]

Decision-Making for Optimal Evacuation Problems
  • J. Barreiro-Gomez. Stochastic Differential Games for Crowd Evacuation Problems: A Paradox. Automatica, 140, 110271, 2022. [link]
  • J. Barreiro-Gomez, S. E. Choutri, and H. Tembine. Risk-Awareness in Multi-Level Building Evacuation with Smoke: Burj Khalifa Case Study. Automatica, 129, 109625, 2021. [link]

Reinforcement-Learning for Data-driven Multi-agent Evacuation Problems

 

  • J. Barreiro-Gomez, Reinforcement Learning Best-Response Dynamics for Crowd Evacuation Problems with Obstacles, (Preprint), 2022

Neural Networks for Optimal Control

  • J. Barreiro-Gomez, S. E. Choutri and B. Djehiche. Stability Via Adversarial Training of Neural Network Stochastic Control of Mean-Field Type. 61th IEEE Conference on Decision and Control (CDC), Cancun, Mexico, 7547-7552, 2022 [link]
  • J. Barreiro-Gomez, and S. E. Choutri. Data-driven stability of stochastic mean-field type games via non-cooperative neural network adversarial training. Asian Journal of Control (accepted and to appear), 2023

Distributed Predictive Control for Networked Systems

 

  • J. Barreiro-Gomez, C. Ocampo-Martinez, and N. Quijano.Time-Varying Partitioning for Predictive Control Design: Density-Games Approach. Journal of Process Control, 75(2019):1-14, 2019. [link]
  • J. Barreiro-Gomez, C. Ocampo-Martinez, and N. Quijano. Partitioning for large-scale systems: A sequential distributed MPC design, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 8838-8843, Elsevier. [link]

 

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