Matthew Wilkinson
I am a final year PhD student and aspiring AI researcher/engineer. My research interests surround the application of AI methods to solve real-world challenges. I am currently working towards my PhD from the Department of Chemical Engineering at the University of Bath. Please check out the pages on this website to see my experience, projects and interests!
Accepted Manuscript CrystEngComm 2022
Tuli, S., Wilkinson, M.R. and Kettell, C., 2022. RadNet: Incident Prediction in Spatio-Temporal Road Graph Networks Using Traffic Forecasting, IJCAI 2022 Workshop on AI for Time Series Analysis, arXiv preprint arXiv:2206.05602.
Wilkinson, M.R., Martinez-Hernandez, U., Wilson, C.C. et al. Images of chemical structures as molecular representations for deep learning. Journal of Materials Research 37, 2293–2303 (2022). https://doi.org/10.1557/s43578-022-00628-9
Laurent Perge, Jan Gröls, Daniel F. Segura, Aneesa Al-Ani, Matthew Wilkinson, Bernardo Castro-Dominguez, Concurrent Antisolvent Electrospraying: A Novel Continuous Crystallization Technique, Journal of Pharmaceutical Sciences, Volume 109, Issue 10, 2020, Pages 3027-3034, ISSN 0022-3549, https://doi.org/10.1016/j.xphs.2020.06.023.
Under Review - coming soon!
Under Review - coming soon!
Artificial Intelligence applied to drive sustainable pharmaceutical manufacturing by reducing reliance on trial-and-error approaches.
Using deep learning to detect anomolies in spacio-temporal traffic data from Radcliffe, Greater Manchester, UK.
Investigating the "Ensilication" method with baceriophages as model viruses to overcome the cold chain storage requirements when transporting biologicals.
12 month industrial placement as part of my integrated MChem masters course.