Dr Mohammad Salehian
Senior Modelling & Simulation Scientist
Strathclyde Institute of Pharmacy and Biomedical Sciences
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.
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
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.
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
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
- Journal of Building Engineering (Journal)
- Peer reviewer
- 20/9/2022
- Leverhulme Research Centre for Functional Materials Design
- Participant
- 20/9/2022
- Optimization Methods and Machine Learning in Pharmaceutical Manufacturing
- Speaker
- 17/8/2022
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
Contact
Dr
Mohammad
Salehian
Senior Modelling & Simulation Scientist
Strathclyde Institute of Pharmacy and Biomedical Sciences
Email: mohammad.salehian@strath.ac.uk
Tel: Unlisted