Mohammad Salehian | Senior Research Fellow
CMAC, University of Strathclyde

Mohammad Salehian 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.

Appearances:

Day 1: 6th May @ 13:40

AI-Driven Cyber-Physical Systems for Accelerated Medicines Manufacturing

AI-driven cyber-physical systems for accelerated medicines manufacturing integrate advanced modelling, optimisation, robotics and autonomous platforms with real-time data, prediction and control to transform how medicines are developed and produced. By combining AI, machine learning and digital twins within CMAC’s cyber-physical research infrastructure, end-to-end processes can be optimised, material use and waste reduced, and critical quality attributes assured earlier and more efficiently. These systems enable continuous, data-rich experimentation that speed process understanding, support Quality by Digital Design (QbDD), and deliver more sustainable, resilient and patient-centric manufacturing routes from molecule to finished product.

Mohammad Salehian, Senior Research Fellow, CMAC, University of Strathclyde

last published: 14/Apr/26 17:05 GMT

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