Projects per year
Personal profile
Personal Statement
Mohammad is a Senior Research Fellow in Modelling and Simulation at CMAC, University of Strathclyde. His research focuses on the digital transformation of pharmaceutical manufacturing processes using computational modelling, machine learning, Artificial Intelligence, mathematical optimisation, and software development technologies.
Mohammad joined CMAC in 2022 as a research associate for the EPSRC project Digital Medicines Manufacturing (DM2), focusing on modelling and optimisation for tablet direct compression. He obtained his BSc (2015) from Sharif University of Technology, Iran, MSc (2018) from Istanbul Technical University, Turkey, and PhD (2022) from Heriot-Watt University, UK, where he contributed to several joint industry projects on the application of model-based and AI-assisted optimisation in oil and gas industry.
Academic / Professional qualifications
- Computational scientist with an engineering background specializing in modeling and simulation, machine learning, and optimization. Experienced in developing digital solutions for pharmaceutical products manufacturing, chemical processes, and subsurface energy systems (oil and gas production).
- Initiated/co-led several collaborative research projects and disseminated the results with best-in-class journal/conference papers and presentations.
- A quadrilingual (fluent speaker of four languages), thanks to the history of research, teaching in higher education, and academic supervision at the top universities of the UK, Türkiye, and the Middle East.
Research Interests
Mohammad's research interests lie in the application of the following computational technologies in pharmaceutical manufacturing, chemical processes, and subsurface energy systems:
- Model-based Numerical Optimisation (Model Predictive Control)
- Machine Learning
- Computational (Analytical/Numerical/Surrogate) Modelling
- Data Analytics
Education/Academic qualification
Doctor of Philosophy, Heriot-Watt University
1 Oct 2018 → 31 Dec 2021
Master of Science, Istanbul Technical University
1 Sept 2016 → 30 Jun 2018
Bachelor of Science, Sharif University of Technology
1 Sept 2010 → 1 Feb 2015
Keywords
- Optimisation
- Machine Learning
- Artificial Intelligence
- Data Analytics
- Engineering Mathematics
- Computational Intelligence
- model based engineering
- Digital Manufacturing
- Pharmaceutical Analysis
- Pharmaceutical Technology
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Collaborations and top research areas from the last five years
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Projects
- 4 Finished
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Development of a AI-enabled Computational Toolbox for Simulation of Flow in Unsaturated Porous Media
Moghaddasi Kelishomi, H. (Principal Investigator) & Salehian, M. (Principal Investigator)
1/01/25 → 1/01/26
Project: Internally funded project
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From Pixels to Particles: A Computational Toolbox for Predicting Pharmaceutical Powder Characteristics
Salehian, M. (Principal Investigator), Armstrong, J. (Principal Investigator) & Boyle, C. (Principal Investigator)
1/09/23 → 1/09/24
Project: Internally funded project
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Accelerating the formulation development for directly compressed tablets via automated sessile drop testing
Ma, M., Abbas, F., Armstrong, J., Gahler, D., Soltani, P., Salehian, M. & Markl, D., 25 Jun 2026.Research output: Contribution to conference › Presentation/Speech
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Predicting the viability of pharmaceutical formulations for continuous direct compression using machine learning approaches
Diaz, L. P., Marchal, S., Kroll, P., Hofstetter, A., Lang, M., Piccione, P. M., Brown, C. J., Salehian, M. & Florence, A. J., 5 Jun 2026, In: International Journal of Pharmaceutics. 698, 12 p., 126911.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Datasets
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Data for: "Flexible Modelling of the Dissolution Performance of Directly Compressed Tablets"
Maclean, N. (Creator), Armstrong, J. (Creator), Carroll, M. (Contributor), Salehian, M. (Contributor), Mann, J. (Contributor), Reynolds, G. (Contributor), Johnston, B. (Supervisor) & Markl, D. (Supervisor), University of Strathclyde, 5 Apr 2024
DOI: 10.15129/0de30626-a898-42a5-9548-342a748062bc
Dataset
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Data for "Accelerated Medicines Development using a Digital Formulator and a Self-Driving Tableting DataFactory"
Salehian, M. (Creator), Abbas, F. (Creator), Hou, P. (Contributor), Moores, J. (Creator), Goldie, J. (Creator), Tsioutsios, A. (Creator), Portela, V. (Contributor), Boulay, Q. (Contributor), Thiolliere, R. (Contributor), Stark, A. (Contributor), Schwartz, J.-J. (Contributor), Guerin, J. (Contributor), Maloney, A. G. P. (Contributor), Moldovan, A. A. (Contributor), Reynolds, G. K. (Contributor), Mantanus, J. (Contributor), Clark, C. (Contributor), Chapman, P. (Contributor), Florence, A. (Supervisor) & Markl, D. (Supervisor), University of Strathclyde, 28 Feb 2025
DOI: 10.15129/9126a667-2245-4838-9f17-f073e0696c39, https://gitlab.cis.strath.ac.uk/fmb22104/cmac-self-driving-tabletting-datafactory
Dataset
Prizes
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Best Poster Presentation Award
Salehian, M. (Recipient), 16 Jun 2022
Prize: Prize (including medals and awards)
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CMAC Research Excellence Award
Salehian, M. (Recipient), Abbas, F. (Recipient), Anas A Y Y M Almudahka, A. (Recipient), Tsioutsios, A. (Recipient) & Goldie, J. (Recipient), 25 Mar 2025
Prize: Prize (including medals and awards)
Activities
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A Digital Particle Engineering Framework: Predicting Product Manufacturability and Performance Attributes From Drug Material Properties
Ahmed, B. (Speaker), Salehian, M. (Contributor) & Markl, D. (Contributor)
12 May 2026Activity: Talk or Presentation › Oral presentation
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ThinkFactory2025
Salehian, M. (Organiser), Pickles, T. (Organiser) & Baird, S. (Organiser)
1 Oct 2025Activity: Presenting or Organising an Event › Organiser of special symposia