Dr Javier Cardona Amengual

Chancellor’S Fellow - Senior Lecturer

Chemical and Process Engineering

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Personal statement

My multi-disciplinary and diverse research group aims at revolutionising chemical process design using AI-powered multi-sensor setups and multi-scale predictive modelling. My research leverages the increasing data availability and high-performance computing resulting from the drive towards Industry 5.0 to tackle the intricate puzzles posed by complex multi-scale phenomena. My expertise lies at the intersection of chemical engineering modelling, advanced data analysis and artificial intelligence. By seamlessly integrating physics-based and data-driven models, we unlock deeper process understanding, paving the way for a new era of agility and informed decision-making in the digital manufacturing landscape. My background in modelling and experience with industrial projects place me in an ideal position to contribute to this emerging field, potentially impacting major chemical and pharmaceutical companies and beyond. This ensures that my work addresses real-world needs and has a clear path to impact and commercialisation. Additionally, partnerships with renowned universities and research centres amplify the international impact of my research, while aligning with national and regional initiatives focused on digital manufacturing. Leveraging my expertise, I am committed to empowering the next generation of digital and sustainable engineers to tackle the world's most pressing challenges.

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Publications

Quality by digital design to accelerate sustainable medicines development
Mustoe Chantal L, Turner Alice J, Urwin Stephanie J, Houson Ian, Feilden Helen, Markl Daniel, Al Qaraghuli Mohammed M, Chong Magdalene WS, Robertson Murray, Nordon Alison, Johnston Blair F, Brown Cameron J, Robertson John, Adjiman Claire, Batchelor Hannah, Benyahia Brahim, Bresciani Massimo, Burcham Christopher L, Cardona Javier, Cottini Ciro, Dunn Andrew S, Fradet David, Halbert Gavin W, Henson Mark, Hidber Pirmin, Langston Marianne, Lee Ye Seol, Li Wei, Mantanus Jérôme, McGinty John, Mehta Bhavik, Naz Tabbasum, Ottoboni Sara, Prasad Elke, Quist Per-Ola, Reynolds Gavin K, Rielly Chris, Rowland Martin, Schlindwein Walkiria, Schroeder Sven LM, Sefcik Jan, Settanni Ettore, Siddique Humera, Smith Kenneth, Smith Rachel, Srai Jagjit Singh, Thorat Alpana A, Vassileiou Antony, Florence Alastair J
International Journal of Pharmaceutics (2025)
https://doi.org/10.1016/j.ijpharm.2025.125625
Neural knitworks : patched neural implicit representation networks
Czerkawski Mikolaj, Cardona Javier, Atkinson Robert, Michie Craig, Andonovic Ivan, Clemente Carmine, Tachtatzis Christos
Pattern Recognition Vol 151 (2024)
https://doi.org/10.1016/j.patcog.2024.110378
Multi-label classification of crystallisation outcomes from in-situ imaging
Sandhu Parandeep, Boyle Christopher, Tachtatzis Christos, Cardona Javier
2024 British Association for Crystal Growth Annual Conference (2024)
OpenCrystalData : an open-access particle image database to facilitate learning, experimentation, and development of image analysis models for crystallization processes
Barhate Yash, Boyle Christopher, Salami Hossein, Wu Wei-Lee, Taherimakhsousi Nina, Rabinowitz Charlie, Bommarius Andreas, Cardona Javier, Nagy Zoltan K, Rousseau Ronald, Grover Martha
Digital Chemical Engineering Vol 11 (2024)
https://doi.org/10.1016/j.dche.2024.100150
Multi-modal convolutional parameterisation network for guided image inverse problems
Czerkawski Mikolaj, Upadhyay Priti, Davison Christopher, Atkinson Robert, Michie Craig, Andonovic Ivan, Macdonald Malcolm, Cardona Javier, Tachtatzis Christos
Journal of Imaging Vol 10 (2024)
https://doi.org/10.3390/jimaging10030069
Developing a model-driven workflow for the digital design of small-scale batch cooling crystallisation with the antiviral lamivudine
Pickles Thomas, Mustoe Chantal, Boyle Christopher, Cardona Javier, Brown Cameron J, Florence Alastair J
CrystEngComm Vol 26, pp. 822-834 (2024)
https://doi.org/10.1039/D3CE00897E

More publications

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Professional Activities

Deep Learning Particle Characterisation for Efficient Automatic Thermodynamic and Kinetic Parameter Estimation
Contributor
29/10/2024
Strategic Themes: EPSRC Multi-Disciplinary IM3AGES Facility Workshop
Participant
26/2/2024
OpenCrystalData: ​An Open-Access Crystal Image Database for Enabling ​Image-Based Analysis of Crystallization Systems ​
Contributor
6/11/2023
Evaluation of Methods for Particle Characterisation from In-Situ Sensors
Contributor
6/9/2023
MDPC Workshop - Pfizer
Speaker
8/6/2023
MDPC Workshop - UCB
Speaker
6/6/2023

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Projects

EPSRC Centre for Doctoral Training in Cyber-physical Systems for Medicine Development and Manufacturing (CEDAR)
Florence, Alastair (Principal Investigator) Cardona Amengual, Javier (Co-investigator) Hoskins, Clare (Co-investigator) Markl, Daniel (Co-investigator) Perrie, Yvonne (Co-investigator)
01-Jan-2024 - 30-Jan-2032
DTP 2224 University of Strathclyde | Sandhu, Parandeep
Cardona Amengual, Javier (Principal Investigator) Tachtatzis, Christos (Co-investigator) Sandhu, Parandeep (Research Co-investigator)
01-Jan-2022 - 01-Jan-2026
Development & Commercialisation of the world’s first technology enabling 100% of Post Consumer recycled bottles (rPET), to be remanufactured into “as new”, PET Bottles :PET-Yield
Atkinson, Robert (Principal Investigator) Cardona Amengual, Javier (Co-investigator) Liggat, John (Co-investigator) Nordon, Alison (Co-investigator) Tachtatzis, Christos (Co-investigator) Wagner, Beverly (Co-investigator) Wilson, Juliette (Co-investigator)
01-Jan-2022 - 31-Jan-2023
Predictive maintenance for offshore wind turbines
Atkinson, Robert (Principal Investigator) Andonovic, Ivan (Co-investigator) Cardona Amengual, Javier (Co-investigator) Carroll, James (Co-investigator) McMillan, David (Co-investigator) Tachtatzis, Christos (Co-investigator)
01-Jan-2022 - 31-Jan-2022
Decision Support for Investment & Economic Development within Sparse Data Markets
Tachtatzis, Christos (Principal Investigator) Andonovic, Ivan (Co-investigator) Atkinson, Robert (Co-investigator) Cardona Amengual, Javier (Co-investigator) Hamilton, Andrew (Co-investigator) Macdonald, Malcolm (Co-investigator) Michie, Craig (Co-investigator)
11-Jan-2022 - 10-Jan-2023
Doctoral Training Partnership 2020-2021 University of Strathclyde | Stavert, Tom
Jorge, Miguel (Principal Investigator) Cardona Amengual, Javier (Co-investigator) Stavert, Tom (Research Co-investigator)
01-Jan-2021 - 01-Jan-2025

More projects

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Contact

Dr Javier Cardona Amengual
Chancellor’S Fellow - Senior Lecturer
Chemical and Process Engineering

Email: j.cardona-amengual@strath.ac.uk
Tel: Unlisted