Marco De Angelis

Marco De Angelis is a Lecturer at the Centre for Intelligent Infrastructure within the Department of Civil and Environmental Engineering at the University of Strathclyde's Faculty of Engineering. His work focuses on computational methods for handling uncertainty in engineering systems, with applications in structural reliability and health monitoring.

Education:

• PhD in Risk and Uncertainty (2015) from University of Liverpool's Institute for Risk and Uncertainty
• Master of Engineering (cum laude) in Civil and Environmental Engineering from University of Rome, Roma Tre
• Bachelor of Engineering (cum laude) in Civil and Environmental Engineering from University of Rome, Roma Tre

Dr. De Angelis specializes in computing with imprecision, developing methods to propagate uncertainty through models using interval analysis, probability bounds, and other mathematical frameworks. His research enables rigorous inference with scarce empirical data and builds trust in simulation for structural reliability assessment. His work intersects civil engineering, computer science, and statistics, with particular emphasis on practical applications in infrastructure monitoring and risk assessment.

His recent publications demonstrate a strong focus on high-dimensional uncertainty analysis, optimization under uncertainty, and verified computational methods for reliability engineering. The research shows increasing sophistication in handling complex uncertainty representations while maintaining computational tractability for real-world engineering problems.

Scientific Awards:

• Best student paper (June 18, 2025)
• The NASA and DNV Challenge on Optimization under Uncertainty (June 17, 2025)
• Bronze poster award (July 27, 2021)
• Teaching and Learning Award (May 17, 2017)
• ISIPTA-IJAR Young Researcher Award (August 2015)

Dr. De Angelis teaches structural engineering theory, computer programming, interval computation, probability theory, and machine learning to undergraduate students. He has developed teaching materials from scratch for advanced dynamics courses. He serves as Co-investigator on the REUN project (Reduction of Uncertainties in risk assessment of structures and infrastructures against Natural hazards) funded by the Royal Society of Edinburgh, running from April 2025 to March 2027. His professional activities include conference participation, journal peer review, and invited talks in his specialty areas.

He is actively involved with the Centre for Intelligent Infrastructure, where he contributes to research on digital twins and computational methods for infrastructure monitoring and assessment.