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

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