Research Fellow in Reinforcement Learning for Engineering

UK-IC Research Fellow

School of Aerospace Transport and Manufacturing

Cranfield University

Adolfo.Perrusquia-Guzman@cranfield.ac.uk

Qualifications

  • B. Eng. (2014), National Polytechnic Institute (UPIITA-IPN).

  • M.Sc. (2016), Department of Automatic Control, Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN).

  • PhD (2020), Department of Automatic Control, Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN).

Employment

  • Research Fellow in Reinforcement Learning for Engineering, Cranfield University, UK (2021-24).

Projects

  • UK-IC Postdoctoral Fellowship: Drone Intention Prediction using Semi-Supervised Learning of Flight Physics (2021-2023).

Background

I received the B.Eng. degree in Mechatronic Engineering from the National Polytechnic Institute (UPIITA-IPN) in 2014, and the M.S. and Ph.D. degrees, both in Automatic Control from the Automatic Control Department at the CINVESTAV-IPN in 2016 and 2020, respectively. I am currently a research fellow at the School of Aerospace, Transport and Manufacturing, Cranfield University, and a UK IC Postdoctoral Research Fellow. I am a member of the IEEE Computational Intelligence Society. My main research of interest focuses on robotics, mechanisms, machine learning, reinforcement learning, nonlinear control, system modeling and system identification.


Research of Interest

  • Reinforcement Learning

  • Machine Learning

  • Deep Learning

  • System modelling and identification

  • Linear and Nonlinear control

  • Robotics