Dr. A. Cicirello
Dr. A. Cicirello
Alice is Associate Professor and Head of the Section of Mechanics and Physics of Structures in the Engineering Structures Department at TU Delft (2020-present), and currently holds the Alexander von Humboldt Foundation Research Fellowship for Experienced Researchers.
Alice was a Departmental Lecturer in Dynamics and Vibration at the Oxford Engineering Science Department and a Career Development Fellow in Engineering Science at Balliol College (2017-2019). She founded and led the Dynamics, Vibration and Uncertainty Laboratory in the Oxford Engineering Science Department from 2017 to 2021. Prior to these positions, she was a Senior Research Scientist at Schlumberger (2014-2017), a Research Associate (2012-2014) and a Marie Curie Early Stage Researcher (2009-2012) at the Cambridge University Engineering Department. Alice obtained her PhD from the University of Cambridge in 2013.
Alice is the founder and Principal Investigator of the Data, Vibration and Uncertainty Research Group. She has held visiting positions at several research institutions and organized and chairing technical sessions at international conference, technical workshops and online seminar series.
Alice is currently:
- Visiting Fellow at the Engineering Science Department at the University of Oxford (2020 - present)
- IAS Open Programme Fellow 2022-23, Institute of Advanced Studies, Loughborough University.
- Advanced Visiting Fellow at the Department of Mechanical Engineering, University of Sheffield.
- Member of the Scientific committee of the 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering UNCECOMP 2023.
- Member of the local organizing committee of the XII International Conference on Structural Dynamics, Eurodyn 2023
- Editorial Board member for the journals: Data-Centric Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering,
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Alice was awarded the Bronze for Excellence in Teaching for the academic year 2018/19 at the Oxford Engineering Science Department.
My research interests span from fundamental to applied research. My technical expertise covers Uncertainty Quantification and Machine Learning, physics-based modelling, and dynamic experimental testing, and their combination. My research aims at developing effective strategies for supporting decisions in operating conditions and at the design-stage of structures and important functional components under deep uncertainties and non-linearity.
I work on:
- fundamental understanding of the behaviour of structures for extracting important physics-based features;
- digital twins development for (i) the design of structures that are relatively insensitive to manufacturing variability and uncertainty, (ii) assessing the safe remaining life of structures in environmental and operating conditions;
- effective structural health monitoring strategies and non-destructive testing.
These research challenges are strongly connected and I tackle them with an integrated approach which combines and enhances each of four core aspects:
- advanced linear and non-linear physics-based models;
- laboratory experiments and testing campaigns;
- uncertainty quantification (both forward and inverse);
- machine learning, signal processing and monitoring strategies.
- Head of the Mechanics and Physics of Structure (MPS) section
- Part of the Department of Engineering Structures Management Team
- Collaborating staff within Offshore Engineering Section
- Part of the Modelling, Uncertainty, and Data for Engineers (MUDE) team setting up new MSc courses
- Leader of the CTB1210 Dynamics course redesign (2021)
A Self-supervised Classification Algorithm for Sensor Fault Identification for Robust Structural Health Monitoring
Andreea Maria Oncescu / Alice Cicirello
Cyclical Variational Bayes Monte Carlo for efficient multi-modal posterior distributions evaluation
Felipe Igea / Alice Cicirello
Natural Language Processing for systems engineering
Automatic generation of Systems Modelling Language diagrams
Shaohong Zhong / Andrea Scarinci / Alice Cicirello
A comparative study between Amontons-Coulomb and Dieterich-Ruina friction laws for the cyclic response of a single degree of freedom system
Alessandro Cabboi / Luca Marino / Alice Cicirello
An efficient and robust sampler for Bayesian inference
Transitional Ensemble Markov Chain Monte Carlo
Adolphus Lye / Alice Cicirello / Edoardo Patelli