Imperial College London

DrAntonioDel Rio Chanona

Faculty of EngineeringDepartment of Chemical Engineering

Research Fellow







ACE ExtensionSouth Kensington Campus





Dr Antonio del Rio Chanona is an EPSRC Research Fellow hosted at the Centre for Process Systems Engineering at the Department of Chemical Engineering, Imperial College London.

He holds a PhD from the Department of Chemical Engineering and Biotechnology at the University of Cambridge, where the received the Danckwerts-Pergamon award for the best PhD dissertation of 2017. He received his undergraduate degree from the National Autonomous University of Mexico (UNAM)

His research brings together both foundations from the systems domain such as optimisation, control and machine learning, and applies them to bioprocess modelling, intensification and scale-up.



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

Del Rio-Chanona EA, Cong X, Bradford E, et al., 2019, Review of advanced physical and data-driven models for dynamic bioprocess simulation: Case study of algae-bacteria consortium wastewater treatment, Biotechnology and Bioengineering, Vol:116, ISSN:0006-3592, Pages:342-353

Bradford E, Schweidtmann AM, Zhang D, et al., 2018, Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes, Computers & Chemical Engineering, Vol:118, ISSN:0098-1354, Pages:143-158

Harun I, Del Rio-Chanona EA, Wagner JL, et al., 2018, Photocatalytic Production of Bisabolene from Green Microalgae Mutant: Process Analysis and Kinetic Modeling, Industrial & Engineering Chemistry Research, Vol:57, ISSN:0888-5885, Pages:10336-10344


del Rio-Chanona EA, Zhang D, 2018, A Bilevel Programming Approach to Optimize C-phycocyanin Bio-production under Uncertainty, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM), ELSEVIER SCIENCE BV, Pages:209-214, ISSN:2405-8963

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