Projects per year
Personal profile
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.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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EPSRC MediForge Hub: An Integrated, Reconfigurable and Cyberphysical Manufacturing Platform for Resilient and Sustainable Medicines Manufacture (Manufacturing Research Hub)
Florence, A. (Principal Investigator), Brown, C. (Co-investigator), Cardona Amengual, J. (Co-investigator), Johnston, B. (Co-investigator), Markl, D. (Co-investigator), Nordon, A. (Co-investigator), Robertson, J. (Co-investigator) & Sefcik, J. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/24 → 30/09/31
Project: Research
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EPSRC Centre for Doctoral Training in Cyber-physical Systems for Medicine Development and Manufacturing (CEDAR)
Florence, A. (Principal Investigator), Cardona Amengual, J. (Co-investigator), Hoskins, C. (Co-investigator), Markl, D. (Co-investigator) & Perrie, Y. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/04/24 → 30/09/32
Project: Research - Studentship
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Quality by digital design to accelerate sustainable medicines development
Mustoe, C. L., Turner, A. J., Urwin, S. J., Houson, I., Feilden, H., Markl, D., Al Qaraghuli, M. M., Chong, M. W. S., Robertson, M., Nordon, A., Johnston, B. F., Brown, C. J., Robertson, J., Adjiman, C., Batchelor, H., Benyahia, B., Bresciani, M., Burcham, C. L., Cardona, J. & Cottini, C. & 29 others, , 20 Aug 2025, In: International Journal of Pharmaceutics. 681, 24 p., 125625.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Neural knitworks: patched neural implicit representation networks
Czerkawski, M., Cardona, J., Atkinson, R., Michie, C., Andonovic, I., Clemente, C. & Tachtatzis, C., 31 Jul 2024, In: Pattern Recognition. 151, 9 p., 110378.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)44 Downloads (Pure)
Datasets
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Data for: "Simple corrections for the static dielectric constant of liquid mixtures from model force fields"
Cardona Amengual, J. (Creator), Jorge, M. (Contributor) & Lue, L. (Creator), University of Strathclyde, 17 Sept 2020
DOI: 10.15129/df052d7c-5106-4793-8a39-6765c068e8af
Dataset
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Data for: "Fusion of laser diffraction and chord length distribution data for estimation of particle size distribution using multi-objective optimisation"
Agimelen, O. S. (Creator), Ferreira, C. S. (Data Collector), Ahmed, B. (Data Collector), Cardona, J. (Data Collector), Chen, Y.-C. (Contributor), Tachtatzis, C. (Contributor), Florence, A. (Contributor), Andonovic, I. (Contributor), Sefcik, J. (Contributor) & Mulholland, A. (Contributor), University of Strathclyde, 13 Sept 2018
DOI: 10.15129/d75a345c-e9f6-4bdd-8494-c20e6eae3231
Dataset
Thesis
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Molecular simulations of the interaction of microwaves with fluids
Cardona Amengual, J. (Author), 17 Dec 2016Student thesis: Doctoral Thesis
Activities
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Deep Learning Particle Characterisation for Efficient Automatic Thermodynamic and Kinetic Parameter Estimation
Boyle, C. (Speaker), Cardona Amengual, J. (Contributor) & Sandhu, P. (Contributor)
29 Oct 2024Activity: Talk or presentation types › Oral presentation
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Strategic Themes: EPSRC Multi-Disciplinary IM3AGES Facility Workshop
Dobson, K. (Organiser), Sandison, M. (Participant), Fazio, M. (Participant), Cunningham, M. R. (Participant), Rivers, S. (Organiser), De Jonge-Anderson, I. (Participant), Lyth, S. (Participant), Wang, H. (Participant), Mooney, J. (Participant), Eriksson, S. (Participant), Pedrotti, M. (Participant), Sefcik, J. (Participant), Gangasa Walvekar, R. (Participant), Cardona Amengual, J. (Participant), Peshkur, T. (Participant), Khamis, A. L. (Participant), Fathollahi, A. (Participant), Sillars, F. (Participant), Stevenson, S. (Participant), Griffin, C. (Participant), Oliveira, M. (Participant), Edwards, P. (Participant), May-Wilson, G. (Participant), Reid, M. (Participant), Chaparian, E. (Participant) & Trager-Cowan, C. (Participant)
26 Feb 2024Activity: Participating in or organising an event types › Participation in workshop, seminar, course