Milad Kazemi

Post-doctoral Researcher

  • (2023–2019) PhD Computer Science, Newcastle University, UK
  • (2016–2015) MSc Mechanical Engineering, Amirkabir University of Technology, Iran
  • (2013–2010) BSc Mechanical Engineering, Iran University of Science and Technology, Iran

Bio

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. I collaborate with multidisciplinary teams of researchers to develop novel methods and tools for causal analysis, data-driven control synthesis, and uncertainty quantification.

I have a PhD in Computer Science from Newcastle University, where I focused on data-driven control synthesis approaches for cyber-physical systems. I have published multiple papers in prestigious journals and conferences. I am passionate about applying machine learning, optimization, and formal methods to solve real-world problems and create positive impact.

Grants

  • (2022-2025) PI in grant: MCPS-Verisec: Model-based security of medical cyber-physical systems (ID: EP/W014785/1)