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
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):
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
- model predictive control
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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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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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A hybrid system of mixture models for the prediction of particle size and shape, density, and flowability of pharmaceutical powder blends
Salehian, M., Moores, J., Goldie, J., Ibrahim, I., Mendez Torrecillas, C., Wale, I., Abbas, F., Maclean, N., Robertson, J., Florence, A. & Markl, D., 1 Dec 2024, In: International Journal of Pharmaceutics: X. 8, 15 p., 100298.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)17 Downloads (Pure) -
Design optimization of inner and outer-rotor PMSGs for X-ROTOR wind turbines
Yazdanpanah, R., Mortazavizadeh, S. A., Salehian, M., Campos-Gaona, D. & Anaya-Lara, O., 26 Oct 2024, In: IET Renewable Power Generation. 18, 14, p. 2605-2618 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Downloads (Pure)
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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InterAct Storytelling Fellowship
Salehian, M. (Recipient), 1 Nov 2022
Prize: Fellowship awarded competitively
Activities
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Geoenergy Science and Engineering (Journal)
Salehian, M. (Peer reviewer)
1 Mar 2023 → …Activity: Publication Peer-Review and Editorial Work › Journal peer review
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Heliyon (Journal)
Salehian, M. (Peer reviewer)
1 Feb 2023 → …Activity: Publication Peer-Review and Editorial Work › Journal peer review