Postdoctoral researchers funded by the DigiTwin Project

Yichen Zhu

Postdoctoral Research Associate

Yichen Zhu (Sheffield) received his BEng and PhD from the University of Liverpool in 2014 and 2018. The PhD work focused on Bayesian operational modal analysis techniques based on asynchronous ambient vibration data. His research also involves uncertainty analysis in operational modal analysis and structural health monitoring of civil structures. He started working on the DigiTwin project as a research associate at the University of Sheffield in August 2018 focusing on the development of a theoretical framework for robustly-validated digital twin models.

 

Marco De Angelis

Postdoctoral Research Associate

Marco De Angelis is a postdoctoral research associate at the University of Liverpool (UoL) since May 2018. During his post he will be developing software for the efficient error and uncertainty propagation through computational codes.
Previously he has been the manager of the doctoral training centre at the Institute for Risk and Uncertainty of the UoL for over two years. Marco hold’s a PhD in risk and uncertainty in engineering from UoL, an MSc cum laude in engineering for the mitigation of natural risks and a Bsc cum laude in structural engineering from the University of Rome, Roma Tre. Visit my page to see my ORCID, Twitter and Scholar accounts.

 

Tanmoy Chatterjee

Postdoctoral Research Associate

Tanmoy Chatterjee completed his Master of Engineering from Indian Institute of Engineering Science and Technology, Shibpur (India) in 2013. His research was funded by the Ministry of Human Resource Development (MHRD), Government of India, which included, vibration control of offshore structures subjected to random wave loads by implementing modified forms of liquid column dampers. He completed his PhD in 2018 from Indian Institute of Technology Roorkee. His doctoral research work was funded by the MHRD and Council of Scientific and Industrial Research, Government of India. During his PhD, he developed efficient computational models in order to deal with real-time stochastic structural systems and optimization under uncertainty. He has joined the DigiTwin project as a post-doctoral fellow at Swansea University in December 2018. He is working towards developing efficient methods of model validation, uncertainty propagation, uncertainty quantification and robust design of assembled structures.

 

Mattia Dal Borgo

Postdoctoral Research Associate

Mattia graduated from the University of Udine, Italy, in 2014, with a degree in Mechanical Engineering. After university, he worked one year as a mechanical engineer on designing and analysing subsea systems for the Oil & Gas industry. In 2015, he joined the Signal Processing and Control Group of the ISVR at the University of Southampton, UK, as PhD Student and Marie-Curie fellow in the FP7 ITN ANTARES project, focusing his research on nonlinear strategies for active vibration control of nonlinear systems. He has also been a visiting researcher at Fraunhofer LBF in Darmstadt, Germany, in October – November 2017 under the same Marie-Curie training programme.

Mattia is currently employed as a Senior Research Assistant at ISVR, where he started working on the DigiTwin project since September 2018. His research mainly concerns about the virtual sensing of controlled signals in safety-critical dynamic applications, where multiple redundant sensors are used.

 

Jiannan Yang

Postdoctoral Research Associate

Jiannan Yang (Cambridge) received his PhD in Sound and Vibration from the Institute of Sound and Vibration Research Centre (ISVR) at University of Southampton in 2012. After his PhD, he has worked in the Research and Development Department of Hitachi in both Japan and the UK. At Hitachi, Jiannan worked on various rolling stock projects for noise and vibration control, including the high speed Intercity Express Trains (IET) that went into passenger service on Oct 2017 in England. Jiannan has joined the DigiTwin project since Oct 2018 at University of Cambridge and he is looking at improved engineering design for digital twin applications.

 

Arnau Clot

Postdoctoral Research Associate

Arnau Clot is a postdoctoral research associate at the University of Cambridge. He received his PhD in Mechanical Engineering from the Polytechnic University of Catalonia (UPC) in 2014 and was a postdoctoral researcher at that university until 2016. His research in UPC was focus on developing efficient prediction models for railway- and construction-induced ground-borne vibrations. Arnau joined the Dynamics and Vibrations group at University of Cambridge in 2017. Since then, he has been working on an EPSRC project focused on combining experimental testing and numerical modelling in vibro-acoustic design. Arnau is joining the DigiTwins project in June 2019.

 

Nidhal Jamia

Postdoctoral Research Associate

Nidhal graduated from the National Schools of Engineers of Gabes (ENIG), Tunisia, in 2010, with a degree in Civil Engineering. He holds a Master degree in Computational Mechanics from Tunisia Polytechnic School since 2014. In 2015, he joined Swansea University as a PhD student. His doctoral research work was funded by Qatar National Research Funds. He modelled eddy current sensors for Blade Tip Timing application and validated these models experimentally. He has joined the DigiTwin project as a Research Assistant in February 2019. His research mainly concerns experimental methods for components and joints.

 

Paul Gardner

Postdoctoral Research Associate

Paul Gardner is a postdoctoral research associate at the University of Sheffield developing validation technologies for digital twins. His research focuses on the application of transfer learning in generating validated models for new scenarios, accounting for model discrepancies in calibration and prediction from computer models and in combining validated sub-system models to produce validated full-system predictions. He obtained both his MEng (2015) and PhD degrees (2019) from the University of Sheffield. His PhD focused on the application of models within the field of Structural Health Monitoring (SHM), specifically in generating validated models of damage states.

 

Valentina Ruffini

Postdoctoral Research Associate