Dr. Daniele Scrimieri

Biography

Dr Daniele Scrimieri is an Associate Professor of Computer Science in the School of Computing and Engineering. He is a Senior Fellow of Advance HE (SFHEA) and holds a PhD in Computer Science from the University of Bari “Aldo Moro”, Italy. He has over 20 years of experience spanning academia and industry.

Daniele’s research focuses on artificial intelligence in manufacturing, automated process planning and digital twins. Recently, his interests have expanded to mobile cloud computing security and machine learning applications in healthcare. He is currently Co-I on the KTP project “Intelligent Digital Models for Community Heat Networks”. Previously, he was Co-I on the Innovate UK project “Smart and Sustainable Manufacturing for Baking Industry” and, while at the University of Nottingham, work package leader or senior researcher on several projects on smart manufacturing (EC FP7 projects FRAME, PRIME and Copernico; EPSRC projects Evolvable Assembly Systems and Cloud Manufacturing). He currently supervises two PhD students and has co-supervised two PhD students to completion.

Daniele has taught various undergraduate and postgraduate modules in Computer Science, Software Engineering and Cyber Security. He is the module leader for COS6012-B Concurrent and Distributed Systems, and COS6028-B Software Systems Design and Testing. He was previously programme leader for BSc Computer Science for Cyber Security and MSc Cyber Security, both of which achieved accreditation from the National Cyber Security Centre, and outreach and recruitment lead for the School. He also serves as an external examiner at two UK universities.

In addition to his academic activities, Daniele has delivered CPD courses for the SAFI (Statistical Analysis For Industry) Consortium, whose members include Renault Group, Airbus, Valeo and Stellantis. These courses were delivered both online and at Renault Technocentre in France. Prior to joining the University of Bradford, he worked in industry at LK Metrology, Nikon Metrology and MERMEC, where he developed metrology software for clients including BAE Systems, Volvo and Safran Aircraft Engines, as well as safety-critical control systems for RFI, the Italian railway infrastructure manager.

Daniele serves as Associate Editor of Applied Artificial Intelligence (Taylor & Francis) and is a member of the Editorial Board of the Journal of Universal Computer Science. He is also a member of the EPSRC Peer Review College and UKRI Talent Peer Review College, a registered expert for the European Commission and a member of the IFAC Technical Committees TC 3.2 Computational Intelligence in Control, TC 5.1 Manufacturing Plant Control and TC 5.2 Management and Control in Manufacturing and Logistics. He recently served as Associate Editor for IFAC TC 3.2 at the IFAC World Congress 2026.

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