Reliability,  Modelling  & Optimization 
RMO research group
Reliable Design, Materials & Manufactur​ing 

 RMO / People / Principal Investigator

Principal Investigator

Rami Mansour

Rami Mansour
Tenure-track Assist​ant Professor, Docent

Rami Mansour is an Tenure-track Assistant Professor at the department of Mechanical and Production Engineering at Aarhus University in Denmark and Docent at the Department of Engineering Mechanics at KTH Royal Institute of Technology in Sweden. He is leading the Reliability, Modelling and Optimization (RMO) research group.

He received the doctoral degree in Solid Mechanics in 2016 from KTH Royal Institute of Technology in Sweden and accomplished his Habilitation at KTH in 2024.  He currently has 30 research publications, including journal articles, conference contributions and book chapters.

Current research aims to predict product life and material performance  (i.e. fatigue life, damage modelling,..), develop simulation-based models of manufacturing process (i.e. AM, welding, abrasive manufacturing), data-driven models for manufacturing planning (i.e. using Discrete Event Simulation), as well as novel holistic multi-objective optimization frameworks under uncertain conditions.

Education

  • 2024 Habilitation in Solid Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden
  • 2011-2016 Doctoral Degree in Reliability Assessment and Probabilistic Optimization in Structural Design, KTH Royal Institute of Technology, Stockholm, Sweden. Supervisor: Prof. Mårten Olsson. Opponent: Prof. Xiaoping Du.
  • 2008-2010 Master Degree in Solid Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden
  • 2005-2008 Bachelor Degree in Mechanical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden

Professional history

Memberships and networks

  • The International Society for Structural and Multidisciplinary Optimization (ISSMO)
  • The American Society of Mechanical Engineering (ASME)
  • The Swedish Fatigue Network (UTMIS)
  • International Institute of Welding (IIW)
  • DIGIT Aarhus University Centre for Digitalisation, Big Data and Data Analytics
  • The Danish Center for Applied Mathematics and Mechanics

Academic reviewer