Dr. Adolfo Perrusquía is a Lecturer in Reinforcement Learning for Engineering at the Centre for Autonomous and Cyberphysical Systems. He completed his BSc studies in Mechatronic Engineering at the National Polytechnic Institute (UPIITA-IPN), MSc and PhD studies in Automatic Control at the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), and has been awarded by the Mexican Society of Artificial Intelligence with the third place for the best PhD Thesis in Artificial Intelligence 2021. He was a Research Fellow in Reinforcement Learning for Engineering at Cranfield University from 2021 to 2023 and a RAEng UK-IC Fellow from 2021 to 2023. He is extremely interested in system identification, nonlinear control (which includes adaptive and robust control), robotics, deep learning, and especially in reinforcement learning applications, and his current research interests include reinforcement learning, inverse reinforcement learning, system identification, machine learning, deep learning, neural networks, linear and nonlinear control, and robotics.