Dr Marco De Angelis

Lecturer

Civil and Environmental Engineering

Contact

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Personal statement

I am a Lecturer at the Centre for Intelligent Infrastructure within the Department of Civil and Environmental Engineering. I am interested in computing with imprecision. A number can be imprecisely specified as an interval, a pair of moments, a probability distribution, a set of distributions, and many more. With imprecise computation we can automatically propagate the uncertainty for model verification and make rigorous inference with scarce empirical data for model calibration and validation. These methods are very useful to build trust in simulation for structural reliability and structural-health monitoring. 


I obtained a PhD in risk and uncertainty in 2015 from the University of Liverpool’s Institute for Risk and Uncertainty. I hold a Bachelor and Master of Engineering both cum laude in civil and environmental engineering from the University of Rome, Roma Tre. After the PhD, I was research associate and academic manager at the Centre for Doctoral Training in Risk and Uncertainty of the University of Liverpool for over two years. In 2018 I was appointed research associate for the EPSRC-UKRI Programme Grant on digital twins for improved dynamic design.

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Area of Expertise

Failure probability 

Interval computation 

Statistics for imprecise data 

Probability bounds analysis 

Inference from scarce and imprecise data 

Model calibration and validation with uncertainty 

Code optimisation 

Rigorous integration of ODEs and PDEs 

Computing with imprecise data

Prize And Awards

Bronze poster award
Recipient
27/7/2021
Teaching and Learning Award.
Recipient
17/5/2017
ISIPTA-IJAR Young Researcher Award
Recipient
8/2015

More prizes and awards

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Publications

Subinterval sensitivity for high dimensional models
Ochnio Dawid, de Angelis Marco
Proc. of the 35th European Safety and Reliability & 33rd Society for Risk Analysis Europe Conference European Safety And Reliability & Society For Risk Analysis Europe Conference 2025 (2025)
Sharp polynomial upper bound on the variance
De Angelis Marco
Combining, Modelling and Analyzing Imprecision, Randomness and Dependence Soft Methods in Probability and Statistics Advances in Intelligent Systems and Computing Vol 1458, pp. 76-84 (2024)
https://doi.org/10.1007/978-3-031-65993-5_9
Regionally adjusted stochastic earthquake ground motion models, associated variabilities and epistemic uncertainties
Sunny Jaleena, de Angelis Marco, Edwards Benjamin
Journal of Seismology Vol 28, pp. 303-320 (2024)
https://doi.org/10.1007/s10950-024-10195-7
Towards an automatic uncertainty compiler
Gray Nicholas, de Angelis Marco, Ferson Scott
International Journal of Approximate Reasoning Vol 160 (2023)
https://doi.org/10.1016/j.ijar.2023.108951
Verified bounds on the imprecise failure probability with the SIVIA algorithm
De Angelis Marco, Gray Ander
13th International Symposium on Imprecise Probabilities: Theories and Applications (2023)
Uncertainty propagation of missing data signals with the interval discrete Fourier transform
Behrendt Marco, de Angelis Marco, Beer Michael
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering Vol 9 (2023)
https://doi.org/10.1061/AJRUA6.RUENG-1048

More publications

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Teaching

Structural engineering theory

Computer programming

Interval computation

Probability theory

Machine learning

I teach third year students about statically indeterminate structures, and fourth year students about the dynamics of single and multi-degree-of-freedom systems. The teaching and assessment material for the dynamics class was developed by Dr Douglas and myself from scratch. Overall, I teach a total of 25 credits, the equivalent of 2.5 semesters.

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Contact

Dr Marco De Angelis
Lecturer
Civil and Environmental Engineering

Email: marco.de-angelis@strath.ac.uk
Tel: Unlisted