ABSTRACT

This seminar presents the concept of digital twin of a complex engineering product and demonstrates the application of advanced computational engineering techniques and Artificial Intelligence methods to system-level design of complex products, addressing the 'runtime versus accuracy' dilemma.

SPEAKER CV

Prof. Adele Nasti is a Technical Specialist and Technical Leader in Modelling, Simulation, Automation, Advanced Computational Methods, Digital Engineering Design and Research & Technology at Rolls-Royce. She joined Rolls-Royce plc in 2009 and moved to Rolls-Royce Deutschland Ltd & Co KG in 2018. The main focus of her work is modelling and simulation of complex systems, design methods, from component design to whole engine modelling, integrated multi-disciplinary simulation software frameworks, applications of Artificial Intelligence onto engineering use cases and R&T technology acquisition, from simulation and design, to manufacture, experimentation and engine integration. During her career at Rolls-Royce she has been driving several Research & Technology programmes in collaboration with universities in the UK and in Germany. She holds a Professorship for Computer Science – Data Science & Artificial Intelligence at SRH University of Applied Sciences, where she is also the Head of Study Programme for the Master of Engineering and Sustainable Technology Management with focus on Industry 4.0 and gives lectures on the topics of Modelling, Simulation and Digital Twin. Prof Dr Adele Nasti received a Master of Physics from the University of Naples ‘Federico II’ in Italy, completed a PhD in Quantum Field Theory at Queen Mary University of London, UK and, during her PhD, she spent a year at the University of Barcelona within the Quantum Information and Quantum Computing research group.