Milad Kazemi
Scholar

Milad Kazemi

Google Scholar ID: vNOC5lAAAAAJ
Department of Informatics, King's College London
Cyber-Physical SystemsFormal SynthesisReinforcement Learning
Citations & Impact
All-time
Citations
161
 
H-index
6
 
i10-index
4
 
Publications
18
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • I have published multiple papers in prestigious journals and conferences. I am the PI in the MCPS-Verisec project (ID: EP/W014785/1), which is funded with £424,397 GBP.
Research Experience
  • During my PhD at Newcastle University, I focused on data-driven control synthesis approaches for cyber-physical systems.
Education
  • - (2019–2023) PhD in Computer Science, Newcastle University, UK
  • - (2015–2016) MSc in Mechanical Engineering, Amirkabir University of Technology, Iran
  • - (2010–2013) BSc in Mechanical Engineering, Iran University of Science and Technology, Iran
Background
  • As a postdoctoral research associate at King's College London, I work on advancing counterfactual analysis in artificial intelligence (AI) for complex and uncertain systems. My research interests include causal analysis, data-driven control synthesis, and uncertainty quantification.
Miscellany
  • Passionate about applying machine learning, optimization, and formal methods to solve real-world problems and create positive impact.