Dr Marco De Angelis

Lecturer

Civil and Environmental Engineering

Personal statement

Welcome to my university web page. I am a lecturer (assistant professor) at the Centre for Intelligent Infrastructure within the Department of Civil and Environmental Engineering. I am interested in the efficiency of computation carried out with imprecisely specified numbers. A number can be specified as an interval, a pair of moments, a probability distribution, an imprecisely specified distribution, and many more. There are numerous advantages that follow from being able to explicitly compute with imprecision. First, we can automatically propagate the uncertainty for model verification. Second, we can 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 awarded by the University of Rome, Roma Tre. After the PhD, I was research associate and academic manager of 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.

Expertise

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Area of Expertise

Failure probability.

Interval computation.

Statistics for imprecise data.

Probability bounds analysis.

Inference from scarce data.

Model calibration with uncertainty.

Code optimisation.

Rigorous integration of ODEs.

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

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Publications

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Publications

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
Bivariate dependency tracking in interval arithmetic: Gray Ander, De Angelis Marco, Patelli Edoardo, Ferson Scott; Mechanical Systems and Signal Processing Vol 186, pp. 109771 (2023); https://doi.org/10.1016/j.ymssp.2022.109771
Robust online updating of a digital twin with imprecise probability: de Angelis Marco, Gray Ander, Ferson Scott, Patelli Edoardo; Mechanical Systems and Signal Processing Vol 186 (2023); https://doi.org/10.1016/j.ymssp.2022.109877

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Teaching

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Teaching

Structural engineering theory.

Computer programming.

Interval computation.

Probability theory.

Currently I teach overdeterminate structures to third year students both Strathclyde and IJEP, and dynamics of multi-degree-of-freedom systems to fourth year GA students. The teaching and assessment material for the dynamics class was developed by Dr Douglas and me from scratch. Overall, I teach a total of 22.5 credits.

Research

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