Contact Dr Stefano Tedeschi
- Tel: +44 (0) 1234 754526
- Email: s.tedeschi@cranfield.ac.uk
- ORCID
- Google Scholar
- ResearchGate
Areas of expertise
- Industrial Automation
- Manufacturing Systems
- Sensor Technologies
- Through-life Engineering Services
Background
In 2023, Dr. Stefano Tedeschi became a Senior Lecturer in Cyber-Physical Systems in Manufacturing and Maintenance at Cranfield University's Centre for Digital Engineering and Manufacturing (CDEM), within the School of Aerospace, Transport and Manufacturing (SATM). His academic journey began with a BEng in Mechanical Engineering and an MSc in Mechanical Engineering from the University of Salerno and the University of L'Aquila in Italy. In 2015, he made the decision to move to the United Kingdom to pursue a PhD in Cyber Security at Cranfield University.
Before assuming his current role as a Senior Lecturer, Stefano held the position of Principal Project Leader at TWI Ltd. During his time there, he improved his skills in project management methodologies such as Agile and Waterfall. He collaborated effectively with both internal and external teams and played a key role in establishing strong connections with industries, research institutes, and universities under the guidance of senior management. Stefano's approach to business strategies demonstrated his innovative thinking, as he successfully planned and executed projects of various sizes, contributing to business expansion and revenue growth through impactful initiatives.
Simultaneously, Stefano remained committed to his scientific research in digital engineering with a particular focus on its applications in the manufacturing industry. His expertise encompassed areas such as Cyber-Physical Systems (CPS), Industrial Internet of Things (IIoT), and Mixed Reality. Through his research, Stefano established valuable connections with major stakeholders in these fields, further enhancing his contributions and impact.
Research opportunities
Feel free to reach out to me if you're interested in pursuing a PhD or MSc project in various Industry 4.0 technologies. Specifically, I welcome inquiries related to Cyber-Physical Systems, Internet of Things (IoT), Industrial Internet of Things (IIoT), Data Analytics, Machine Learning/AI, Cobot applications, and projects focused on Engineering Services, Product, and Maintenance Management. I'm also open to considering other application areas that leverage these exciting technologies.
Don't hesitate to get in touch and discuss the possibilities.
Clients
BABCOCK International
BAE Systems
Eco-recycle
EPRSC
MoD
Hal-Robotics
Network Rail
UKRI
Publications
Articles In Journals
- Nicoletti L, Solina V, Amin K, Lessi C, McHard P, .... (2024). Exploiting Extended Reality under the Manufacturing as a Service paradigm. Procedia Computer Science, 232
- Fei H, Wang Z, Tedeschi S & Kennedy A. (2023). Boosting visual servoing performance through RGB-based methods. Robotic Intelligence and Automation, 43(4)
- Tedeschi S, Emmanouilidis C, Mehnen J & Roy R. (2019). A Design Approach to IoT Endpoint Security for Production Machinery Monitoring. Sensors, 19(10)
Conference Papers
- Fei H, Wang Z, Tedeschi S & Kennedy A. (2023). An Anthropomorphic Framework for Learning-Based Visual Servoing to Reach Unseen Objects
- Gambrill N, Farnsworth M, Shaw R, Tedeschi S, Tiwari D, .... (2022). Narrow gap TIG arc weld process monitoring
- Giusti F, Bevilacqua M, Tedeschi S & Emmanouilidis C. (2018). Data analytics and production efficiency evaluation on a flexible manufacturing cell
- Tedeschi S, Rodrigues D, Emmanouilidis C, Erkoyuncu J, Roy R, .... (2018). A cost estimation approach for IoT modular architectures implementation in legacy systems
- Emmanouilidis C, Bertoncelj L, Bevilacqua M, Tedeschi S & Ruiz-Carcel C. (2018). Internet of Things - Enabled Visual Analytics for Linked Maintenance and Product Lifecycle Management
- Giusti F, Bevilacqua M, Tedeschi S & Emmanouilidis C. (2018). Data analytics and production efficiency evaluation on a flexible manufacturing cell
- Tedeschi S, Emmanouilidis C, Farnsworth M, Mehnen J & Roy R. (2017). New Threats for Old Manufacturing Problems: Secure IoT-Enabled Monitoring of Legacy Production Machinery
- Tedeschi S, Mehnen J & Roy R. (2017). IoT security hardware framework for remote maintenance of legacy machine tools
- Tedeschi S, Mehnen J, Tapoglou N & Roy R. (2017). Secure IoT Devices for the Maintenance of Machine Tools
- Tedeschi S, Mehnen J, Tapoglou N & Rajkumar R. (2015). Security Aspects in Cloud Based Condition Monitoring of Machine Tools