Professor Cinzia Giannetti

Professor Cinzia Giannetti

Professor, Mechanical Engineering

Telephone number

+44 (0) 1792 602323

Email address

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Research Links




Available For Postgraduate Supervision

About

Dr Cinzia Giannetti is Associate Professor in Mechanical Engineering. Cinzia’s research is driven by a passion for developing innovative technologies and tools that can have a transformational impact on our lives, society and the economy. She has been an active member of the Digital Manufacturing research community and advocate since 2010, when she transitioned from industry to academia.

Cinzia's mission is to support the growth of the UK Manufacturing sector through development of autonomous, collaborative and intelligent production systems by using knowledge-intensive advanced digital technologies. Cinzia has been recipient of the UKRI EPSRC Digital Manufacturing Fellowship (EP/S001387/1 2018-2021) and she is Deputy Director of the Materials Made Smarter Research Centre (EP/V061798/1), where she leads digitalisation initiatives, pioneering the development and integration of AI in manufacturing industries. Cinzia is co-Investigator and part of the multidisciplinary leadership team in the EPSRC Centre for Doctoral Training in “Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems”, which train and nurture future leaders in digital data-driven innovations.

Cinzia has significant experience in delivering innovation and impact through applied industrial R&D projects gained both in industry and academia. She held positions in senior engineering roles for global companies (Siemens/Motorola/NextGen) and she has a successful track record in the delivery of Innovate UK projects.

Areas Of Expertise

  • Manufacturing Systems Engineering
  • Big Data
  • Manufacturing Informatics and IoTs
  • Machine Learning/Deep Learning
  • Artificial Intelligence
  • Process Optimisation

Career Highlights

Teaching Interests

Fellow of Higher Education Academy

Development and teaching of Smart Manufacturing

Research Collaborations