Dr Marco De Angelis

Lecturer

Civil and Environmental Engineering

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.

Expertise

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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

Publications

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Publications

Sharp polynomial upper bound on the variance: De Angelis Marco; Soft Methods in Probability and Statistics (2024)
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
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

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.

Research

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