Summary
I am head of the Optimisation and Machine Learning for Process Systems Engineering group at the Department of Chemical Engineering, and the Centre for Process Systems Engineering, Imperial College London.
My research focuses on developing and applying computer algorithms from the area of optimization, machine learning and reinforcement learning to engineering systems. The applied branch of my research looks at bioprocess control, optimization and scale-up.
I hold a PhD from the Department of Chemical Engineering and Biotechnology at the University of Cambridge, where I received the Danckwerts-Pergamon award for the best PhD dissertation of 2017, and received my undergraduate degree from the National Autonomous University of Mexico (UNAM).
Selected Publications
Journal Articles
Bradford E, Imsland L, Zhang D, et al., 2020, Stochastic data-driven model predictive control using gaussian processes, Computers & Chemical Engineering, Vol:139, ISSN:0098-1354
Petsagkourakis P, Sandoval IO, Bradford E, et al., 2020, Reinforcement learning for batch bioprocess optimization, Computers & Chemical Engineering, Vol:133, ISSN:0098-1354
del Rio Chanona EA, Wagner JL, Ali H, et al., 2019, Deep learning-based surrogate modeling and optimization for microalgal biofuel production and photobioreactor design, AICHE Journal, Vol:65, ISSN:0001-1541, Pages:915-923