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

* Mathematics for engineering
* Computing with imprecision
* Verification and validation
* Uncertianty propagation
* Statistical inference
* Structural analysis
* Reliability analysis
* Deep learning
* Programming
* Optimisation

Prize And Awards

Best student paper: Recipient; 18/6/2025
The NASA and DNV Challenge on Optimization under Uncertainty: Recipient; 17/6/2025
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

On the computational complexity of the interval dependence problem in credal networks: de Angelis Marco, Estrada-Lugo Hector Diego, Ferson Scott, Patelli Edoardo; Digitalisation and Digital Transformation Communications in Computer and Information Science (2025)
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 35th European Safety and Reliability Conference and the 33rd Society for Risk Analysis Europe Conference (2025)
An integrated uncertainty quantification and optimization for solving the 2025 NASA-DNV challenge: Rocchetta Roberto, Nespoli Lorenzo, Medici Vasco, Chen Yu, de Angelis Marco, Ochnio Dawid, Patelli Edoardo; 35th European Safety and Reliability Conference and the 33rd Society for Risk Analysis Europe Conference (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

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Teaching

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Teaching

Structural engineering theory

I currently teach third year students about statically indeterminate structures, and fourth year students about the dynamics of single and multi-degree-of-freedom systems. I have been and am currently invovled in developing lecture material and in shaping the structural analysis curriculum.

Research

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Research Interests

* Humane algorithms for quantitative science

* Reproducibility and open computational science

* Uncertainty quantification for green-house gas calculations

* Open-source digital twins for structural-health monitoring

* Automated compliance checking for engineering calculations

* Structural calculations with rigorous uncertainty propagation

* Valid and rigorous machine learning inference

* Verification with computer arithmetics (intervals, units, automatic differentiation, probabilistic arithmetic, etc.)

Professional Activities

Reliability Engineering and System Safety (Journal): Peer reviewer; 5/10/2025
International Journal of Approximate Reasoning (Journal): Peer reviewer; 26/9/2025
SAMO 2025: Participant; 23/4/2025
Strategic Themes: Real vs Simulated Environments for Offshore Structural Integrity: Participant; 17/2/2025
Enhancing Safety and Human Reliability through Data-Driven and NLP Innovations: Examiner; 23/9/2024
Sharp polynomial upper bound on the sample variance for interval data: Speaker; 3/9/2024

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Projects

Reduction of Uncertainties in risk assessment of structures and infrastructures against Natural hazards (REUN): Tubaldi, Enrico (Principal Investigator) De Angelis, Marco (Co-investigator) Pytharouli, Stella (Co-investigator) Tarantino, Alessandro (Co-investigator); 01-Jan-2025 - 31-Jan-2027

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Contact

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