Contact Dr Adolfo Perrusquia Guzman
Areas of expertise
- Aeronautical Systems
- Autonomous Systems
- Instrumentation, Sensors and Measurement Science
- Mechatronics & Advanced Controls
- Systems Engineering
Background
Adolfo Perrusqu铆a is an expert in reinforcement learning, especially for the control of dynamical systems (eg, robotics, autonomous vehicles). In particular, he is expertise in combining classical nonlinear control theory with recent data-driven learning methods.
He has a MSc and PhD degrees in automatic control from the CINVESTAV-IPN (rank 2 research in Latin America) and the BEng degree in Mechatronic Engineering from the IPN (rank 4 university in Mexico). He has published extensively in employing artificial intelligence techniques applied to dynamical systems. He was awarded by the Mexican Society of Artificial Intelligence with the third place for the best PhD thesis in Artificial Intelligence 2021.
Adolfo Perrusqu铆a joined 美姬阁 in 2021. He has been appointed Chair of the Task Force on Reinforcement Learning for Robots in the IEEE Computational Intelligence Society. He is an Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems. He has been awarded by the Royal Academy of Engineering with a UK-IC postdoctoral fellowship in 2021. He is within the Human Machine Intelligence Research Group led by Professor Weisi Guo.
Research opportunities
- Reinforcement Learning
- Inverse Reinforcement Learning
- System Identification
- Machine Learning
- Deep Learning
- Neural Networks
- Linear and Nonlinear Control
- Robotics
Current activities
Adolfo Perrusquia is a Lecturer in Reinforcement Learning for Engineering and a former UK-IC Postdoctoral Research Fellow.
His expertise is on theory and applications of both control and artificial intelligence. In particular, he is extremely interested in system identification, nonlinear control (which includes adaptive and robust control), robotics, deep learning and especially in reinforcement learning applications. Since January 2021, he is teaching some modules of the MSc in Applied Artificial Intelligence.
Clients
- Thales SA
- Department for Transport
- National Police Chiefs' Council
- Saab UK Ltd (BlueBear)