Dr Mohammad Salehian

Senior Modelling & Simulation Scientist

Strathclyde Institute of Pharmacy and Biomedical Sciences

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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.

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Prize And Awards

Poster Prize
Recipient
13/6/2024
Poster Presentation Award
Recipient
7/6/2023
InterAct Storytelling Fellowship
Recipient
1/11/2022
Best Poster Presentation Award
Recipient
16/6/2022
Second Best Poster Presentation
Recipient
18/5/2022

More prizes and awards

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.
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Publications

A hybrid system of mixture models for the prediction of particle size and shape, density, and flowability of pharmaceutical powder blends
Salehian Mohammad, Moores Jonathan, Goldie Jonathan, Ibrahim Isra, Mendez Torrecillas Carlota, Wale Ishwari, Abbas Faisal, Maclean Natalie, Robertson John, Florence Alastair, Markl Daniel
International Journal of Pharmaceutics: X Vol 8 (2024)
https://doi.org/10.1016/j.ijpx.2024.100298
Design optimization of inner and outer-rotor PMSGs for X-ROTOR wind turbines
Yazdanpanah Reza, Mortazavizadeh Seyed Abolfazl, Salehian Mohammad, Campos-Gaona David, Anaya-Lara Olimpo
IET Renewable Power Generation Vol 18, pp. 2605-2618 (2024)
https://doi.org/10.1049/rpg2.13111
Empirical model variability : developing a new global optimisation approach to populate compression and compaction mixture rules
Tait Theo, Salehian Mohammad, Aroniada Magdalini, Shier Andrew P, Elkes Richard, Robertson John, Markl Daniel
International Journal of Pharmaceutics Vol 662 (2024)
https://doi.org/10.1016/j.ijpharm.2024.124475
A self-optimised tableting datafactory : accelerating process and formulation development
Salehian Mohammad, Abbas Faisal, Moores Jonathan, Goldie Jonathan, Markl Daniel
CMAC Summer School (2024)
A self-optimised tableting datafactory : accelerating process and formulation development
Salehian Mohammad, Abbas Faisal, Goldie Jonathan, Moores Jonathan, Markl Daniel
Compaction Simulation Forum (CSF) (2024)
Flexible modelling of the dissolution performance of directly compressed tablets
Maclean Natalie, Armstrong John A, Carroll Mark A, Salehian Mohammad, Mann James, Reynolds Gavin, Johnston Blair, Markl Daniel
International Journal of Pharmaceutics Vol 656 (2024)
https://doi.org/10.1016/j.ijpharm.2024.124084

More publications

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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

Professional Activities

Geoenergy Science and Engineering (Journal)
Peer reviewer
1/3/2023
Heliyon (Journal)
Peer reviewer
1/2/2023
Frontiers in Energy Research (Journal)
Peer reviewer
2/11/2022
Leverhulme Research Centre for Functional Materials Design
Participant
20/9/2022
Journal of Building Engineering (Journal)
Peer reviewer
20/9/2022
Optimization Methods and Machine Learning in Pharmaceutical Manufacturing
Speaker
17/8/2022

More professional activities

Projects

Recounting an Ancient Story of Crystallisation: Saffron Rock Candy
Salehian, Mohammad (Principal Investigator) Al Qaraghuli, Mohammed (Co-investigator) Hone, Scott (Co-investigator) Clark, Catriona (Co-investigator) Markl, Daniel (Co-investigator) Florence, Alastair (Co-investigator)
Funding: Cambridge Crystallographic Data Centre (CCDC) Engagement Grant Programme (£1500)
Summary: In this project, we aim to raise awareness of crystallisation science among students of primary and secondary schools through easy-to-follow, self-paced experimental packages. We will demonstrate the crystallisation process in the case of rock candy, along with the underlying science in an easy-to-understand manner. As part of the engagement strategy, crystallisation science's cultural and historical aspects will also be considered. Audiences will learn how crystals form, practice the science behind solubility and super-saturated solutions and understand the impact of crystallisation conditions (such as temperature, pressure, seeding, and concentration) on the final structure and the taste of sugar crystals. The key concepts include crystal growth, seeding crystals, solvent/solute, and solubility.
09-Jan-2023 - 09-Jan-2023

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Contact

Dr Mohammad Salehian
Senior Modelling & Simulation Scientist
Strathclyde Institute of Pharmacy and Biomedical Sciences

Email: mohammad.salehian@strath.ac.uk
Tel: Unlisted