Julian Barreiro-Gomez is an Assistant Professor in the Department of Computer and Information Engineering, College of Computing and Mathematical Sciences at Khalifa University of Science and Technology (KUST), Abu Dhabi, UAE.
Before joining (KUST), he was a Post-Doctoral Associate and Associate Researcher in the Center on Stability, Instability, and Turbulence (SITE) at the New York University in Abu Dhabi (NYUAD), Abu Dhabi, UAE, working with Prof. Nader Masmoudi. He also was Post-Doctoral Associate in the Learning & Game Theory Laboratory (L&G-Lab) at NYUAD, Abu Dhabi, UAE, working with Prof. Hamidou Tembine.
Julian Barreiro-Gomez received 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). Jointly with his Ph.D. thesis advisors, Prof. Nicanor Quijano and Prof. Carlos Ocampo-Martinez, he received the ISA Transactions Best Paper Award 2018 in Recognition to the best paper published in ISA Transactions (top 3% journal Scopus) 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".
Since 2018, he is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He is author of the book "The Role of Population Games in the Design of Optimization-Based Controllers: A Large-scale Insight" published by Springer Cham in 2019, and co-author of the book "Mean-Field-Type Games for Engineers" published by CRC Press in 2021. His main research interests are: Optimal Control, Dynamic Games, Machine Learning, and Engineering Applications with emphasis in Multi-agent Systems.
Julian lives in Abu Dhabi with his wife and son, and he enjoys spending time with his family, having a picnic during the nice weather, and expressing gratitude to Almighty God for the miracle of health and life.
