Mohammad Salehian
Scholar

Mohammad Salehian

Google Scholar ID: keIZ56cAAAAJ
University of Strathclyde
Process ModellingOptimisationArtificial IntelligenceData ScienceSelf-Driving Laboratories
Citations & Impact
All-time
Citations
164
 
H-index
7
 
i10-index
6
 
Publications
20
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • Published 36 research outputs and has 2 datasets. Received 6 prizes.
Research Experience
  • Joined CMAC in 2022 as a research associate for the EPSRC project Digital Medicines Manufacturing (DM2), focusing on modeling and optimization for tablet direct compression. Contributed to several joint industry projects on the application of model-based and AI-assisted optimization in the oil and gas industry.
Education
  • BSc from Sharif University of Technology, Iran in 2015; MSc from Istanbul Technical University, Turkey in 2018; PhD from Heriot-Watt University, UK in 2022.
Background
  • Senior Research Fellow focusing on the digital transformation of pharmaceutical manufacturing processes using computational modeling, machine learning, artificial intelligence, mathematical optimization, and software development technologies. Research interests include model-based numerical optimization (model predictive control), machine learning, computational modeling (analytical/numerical/surrogate), and data analytics.
Miscellany
  • Quadrilingual, with experience in research, teaching, and academic supervision at top universities in the UK, Türkiye, and the Middle East.