Marco De Angelis
PDRA in uncertainty quantification for the EPSRC DigiTwin Programme
See my CV on ORCID:
Main research interests
- Imprecise data and imprecise statistics
- Reliability of engineering structures
- Monte Carlo and advanced sampling techniques
- Interval analysis (theory and applications)
- Machine learning for regression and approximation of computer codes
- Expert elicitation via robust Bayesian and confidence structures
Selected publications
- M. de Angelis, E. Patelli and M. Beer, (2015). “Forced monte carlo simulation strategy for the design of maintenance plans with multiple inspections.” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, doi:10.1061/AJRUA6.0000868.
- M. de Angelis, E. Patelli and M. Beer. “Advanced line sampling for efficient robust reliability analysis.” Structural Safety 52 (2015): 170-182. doi:10.1016/j.strusafe.2014.10.002
- E. Patelli, D. Alvarez, M. Broggi and M. de Angelis. “Uncertainty management in multidisciplinary design of critical safety systems.” Journal of Aerospace Information Systems (2014): 1-30. doi:10.2514/1.I010273
- L.A. Comerford, M. de Angelis, A. Mannis, M. Beer and I.A. Kougioumtzoglou, (2016). “Utilising database-driven interactive software to enhance home-study in a flipped classroom setting.” SI: Formative Assessment, European Journal of Engineering Education.
See my full list of publications on Scholar:
Awards
- ISIPTA-IJAR Young Researcher Award July 2015, targeted at young researchers who have demonstrated excellence in research on imprecise probabilities.
- FFJM-SCM Group Prize Award, May 2015, Fédération Française des Jeux Mathématiques (FFJM) & Société de Calcul Mathématique (SCM), for the solution to the challenge: Uncertainties in GPS Positioning
- FFJM-SCM Group Prize Award, May 2017, Fédération Française des Jeux Mathématiques (FFJM) & Société de Calcul Mathématique (SCM) for the solution to the challenge: From the Earth to the Moon
- Learning and Teaching Team Award Winner 2016/2018, awarded by the Faculty of Science and Engineering of the University of Liverpool.
Qualifications
- Doctor of Philosophy (Ph.D.) risk and uncertainty in engineering systems (10/2015).
Thesis: Efficient random set uncertainty quantification by means of advanced sampling techniques
Institute for Risk and Uncertainty, University of Liverpool, Liverpool, UK.
Supervisors: M. Beer and E. Patelli.
- Laurea Magistrale 110/110 cum laude (two years, MSc eq.) in Ingegneria per la protezione dai rischi naturali (05/2011).
Università Roma Tre, Rome, Italy, EU.
Dipartimento di strutture, via Segre, Roma.
Thesis: Interval analysis for the modelling of uncertainties in structural mechanics
Supervisors: S. Gabriele, C. Valente and F. Brancaleoni - Laurea Triennale 110/110 cum laude (three years, BSc eq.) in Ingegneria civile (09/2008).
Università Roma Tre, Rome, Italy, EU.
Dipartimento di strutture, via Segre, Roma.
Membership
- Society for Imprecise Probability: Theories and Applications, SIPTA
- Editor of the Risk Institute Newsletter
- KTN steering board on uncertainty quantification and high value manufacturing
- Chartered Civil Engineer in Italy (Albo degli ingegneri civili)
Service
- Co-chair of the 8th International workshop on Reliable Engineering Computing, July 2018
- Open Lecture Series on Risk and Uncertainty, University of Liverpool, 2017
- Second UQ&M Study Group with Industry, March 2017, University of Liverpool
- Spring school, Institute for Risk and Uncertainty, University of Liverpool
- Showcase conference, Institute for Risk and Uncertainty, University of Liverpool
- UQ&M Study Group with Industry, July 2016, University of Liverpool
- 13th International Probabilistic Workshop, November, 2015 University of Liverpool
- ICVRAM & ISUMA 2014, 13th - 16th July 2014, University of Liverpool
Referee
- Structural Safety, Elsevier
- ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems
- Journal of Inverse Problems in Science & Engineering
- Mechanical Systems and Signal Processing, Elsevier