Dr Javier Cardona Amengual

Chancellor’S Fellow - Senior Lecturer

Chemical and Process Engineering

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.

Publications

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Publications

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
Understanding solvent-induced phase transformations driven by anomalous mass transfer: Moreno Flores Irene, Cardona Javier; CMAC Open Days 2023 (2023)

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Research

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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

More professional activities

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