Projects per year
Personal profile
Personal Statement
Cameron is a Senior Lecturer for the Strathclyde Institute of Pharmacy and Biomedical Sciences at the University of Strathclyde, Glasgow. Specialising in the development of digital design tools and strategies for pharmaceutical manufacturing. His current research is focused on the application of generative and deep learning approaches to the design of pharmaceutical equipment, processes, and products. A co-investigator for the CMAC Future Research Hub, ARTICULAR, and Digital Design and Manufacturing of Amorphous Pharmaceuticals (DDMAP) projects. As part of the GlaxoSmithKline, Nottingham University and University of Strathclyde Prosperity Partnership for a Healthier Nation, he also leads the University of Strathclyde team in the digital manufacturing of novel pharmaceutical processing equipment. A wealth of experience in knowledge exchange and translation of research to industry has resulted in Cameron being the academic lead for a knowledge transfer partnership with Siemens Process Systems Enterprise Ltd. He can be reached at cameron.brown.100(at)strath.ac.uk or on Twitter @CameronBrown42.
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
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DTP 2224 University of Strathclyde | Bjarnason, Aaron
Brown, C., Florence, A. & Bjarnason, A.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/22 → 1/04/26
Project: Research Studentship - Internally Allocated
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Digital process design to define and deliver pharmaceutical particle attributes
Urwin, S. J., Chong, M. W. S., Li, W., McGinty, J., Mehta, B., Ottoboni, S., Pathan, M., Prasad, E., Robertson, M., McGowan, M., al-Attili, M., Gramadnikova, E., Siddique, M., Houson, I., Feilden, H., Benyahia, B., Brown, C. J., Halbert, G. W., Johnston, B., Nordon, A., & 4 others , 31 Aug 2023, In: Chemical Engineering Research and Design. 196, p. 726-749 24 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Downloads (Pure) -
Development of a digital twin for the prediction and control of supersaturation during batch cooling crystallization
Leeming, R., Mahmud, T., Roberts, K. J., George, N., Webb, J., Simone, E. & Brown, C. J., 19 Jul 2023, In: Industrial and Engineering Chemistry Research. 62, 28, p. 11067-11081 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure)
Datasets
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Data for: "Direct image feature extraction and multivariate analysis for crystallisation process characterisation"
Doerr, F. (Creator), Brown, C. (Supervisor) & Florence, A. (Supervisor), University of Strathclyde, 15 Mar 2022
DOI: 10.15129/75002e1c-80dc-42ab-984a-3444fbef9c03, https://github.com/FrederikDoerr/Crystalline_ImgAnlys
Dataset
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Data for: “Machine Learning Approach to the Prediction of Powder Flow Behaviour of Pharmaceutical Materials from Physical Properties”
Pereira Diaz, L. (Creator), Florence, A. (Supervisor) & Brown, C. (Supervisor), University of Strathclyde, 27 Sept 2022
DOI: 10.15129/3005493b-a125-4a5d-8599-525ce952facf
Dataset
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ISIC 2023
Cameron Brown (Organiser), Christos Xiouras (Speaker), Huaiyu Yang (Speaker) & Andy Maloney (Speaker)
5 Sept 2023Activity: Participating in or organising an event types › Participation in workshop, seminar, course
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Machine Learning-Derived Correlations for Scale-Up and Technology Transfer of Primary Nucleation Kinetics
Cameron Brown (Speaker)
8 Sept 2023Activity: Talk or presentation types › Oral presentation