Dr. Daniele Scrimieri,Associate Professor
Information about Dr. Daniele Scrimieri at the University of Bradford.
- School of CSAI&E
(Faculty of Eng & Digital Technologies) - Email:
- d.scrimieri@bradford.ac.uk
- Telephone:
- +44 1274 232350
12
supervised researchers.Biography
Dr Daniele Scrimieri is Assistant Professor in Computer Science and Programme Leader for BSc Computer Science for Cyber Security and MSc Cyber Security. Daniele is Fellow of the Advance HE (FHEA) and received his PhD from the University of Bari âAldo Moroâ (Italy).Danieleâs research focuses on artificial intelligence in manufacturing, including automated process planning, control and quality inspection. Recently, he has also been interested in cyber security and machine learning in healthcare. Daniele worked in industry for 8 years at LK Metrology, Nikon Metrology and MERMEC, where he designed and developed metrology software for clients such as BAE Systems, Volvo and Safran Aircraft Engines, as well as safety-critical control systems for clients such as RFI (Italian railway network). He was work package leader or senior researcher in various projects on smart factories (EC FP7 FRAME, PRIME, Copernico; EPSRC Evolvable Assembly Systems, Cloud Manufacturing), while working at the Institute for Advanced Manufacturing of the University of Nottingham. Daniele is Co-I of the Innovate UK project âSmart and Sustainable Manufacturing for Baking Industryâ and was PI of the project âAutomatic synthesis of manufacturing process controllersâ that ran in 2022 (University of Bradfordâs SURE Research Projects Fund). Daniele is member of the EPSRC Peer Review College and member of the editorial board of the Journal of Universal Computer Science. He is peer reviewer for top-tier journals such as Engineering Applications of Artificial Intelligence, Journal of Intelligent Manufacturing and Additive Manufacturing. He is member of the Faculty Research and Innovation Committee and Postgraduate Research Sub-Committee.Daniele teaches Software Systems Design and Testing, Cyber Physical Systems Security and Internet of Things. Both his UG and PG Cyber Security programmes have received provisional accreditation from the National Cyber Security Centre. He serves as external examiner in two universities in the UK.
Research
Research interests: artificial intelligence, manufacturing, metrology, software engineering.
Research supervision
Dr. Daniele Scrimieri is responsible for the supervision of 12 postgraduate researchers at the University of Bradford.
Teaching
Details on teaching interests, highlights and modules are available for Dr. Daniele Scrimieri as follows:
Teaching interests
Software Engineering, Internet of Things, Cyber Security.
Teaching highlights
Teaching modules
Title | Subject | Module code | Year |
---|---|---|---|
Software Systems Design and Testing | |||
Cyber Physical Systems Security | |||
Concurrent and Distributed Systems |
Publications
There are 24 publications involving or that are attributed to Dr. Daniele Scrimieri. They are listed as:
- conference publication (12)
- peer reviewed journal (12)
Conference Publication
Title | Year | Publication name | Journal | Volume | Pages | Authors | Editors | ISSN | Publisher | DOI | Location |
---|---|---|---|---|---|---|---|---|---|---|---|
Automated experience-based learning for plug and produce assembly systems | 2015 | IFAC-PapersOnLine | Ifac-Papersonline | 28 | 2083 - 2088 | Scrimieri D.;Antzoulatos N.;Castro E.;Ratchev S. | 2405-8963 | 10.1016/j.ifacol.2015.06.396 | |||
An agent based framework to support plug and produce | 2014 | Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014 | Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014 | 504 - 510 | Rocha A.;Di Orio G.;Barata J.;Antzoulatos N.;Castro E.;Scrimieri D.;Ratchev S.;Ribeiro L. | 9781479949052 | 10.1109/INDIN.2014.6945565 | ||||
Capture and application of adaptation knowledge on assembly stations | 2013 | IFAC Proceedings Volumes (IFAC-PapersOnline) | IFAC Proceedings Volumes (IFAC-PapersOnline) | 46 | 87 - 92 | Scrimieri D.;Ratchev S. | 1474-6670 | 10.3182/20130522-3-BR-4036.00086 | |||
Accelerated ramp-up of assembly systems through self-learning | 2012 | IFIP Advances in Information and Communication Technology | IFIP Advances in Information and Communication Technology | 371 AICT | 175 - 182 | Oates R.;Scrimieri D.;Ratchev S. | 1868-4238 | 10.1007/978-3-642-28163-1_21 | |||
A multi-agent system architecture for self-configuration | 2014 | IFIP Advances in Information and Communication Technology | IFIP Advances in Information and Communication Technology | 435 | 118 - 125 | Antzoulatos N.;Castro E.;Scrimieri D.;Ratchev S. | 1868-4238 | 10.1007/978-3-662-45586-9_15 | |||
Towards Autonomous Health Monitoring of Rails Using a FEA-ANN Based Approach | 2022 | 4th International Engineering Data- and Model-Driven Applications Workshop | 4th International Engineering Data- and Model-Driven Applications Workshop | 1409 | Brown L.; Afazov S.; Scrimieri D. | Springer | 10.1007/978-3-030-87094-2_50 | ||||
Model-based generation of manufacturing process plans through incremental topology formation | 2022 | 21st UK Workshop on Computational Intelligence | 21st UK Workshop on Computational Intelligence | 0 | Adalat O.; Talal M.; Ali Cherif M.; Scrimieri D. | Springer | |||||
Efficient Finite Element Mesh Mapping Using Octree Indexing | 2022 | 21st UK Workshop on Computational Intelligence | 21st UK Workshop on Computational Intelligence | 0 | Adalat O.; Scrimieri D. | Springer | |||||
Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective | 2022 | 32nd Conference of Open Innovations Association (FRUCT) | 32nd Conference of Open Innovations Association (FRUCT) | Mahmoud A.; Neagu D.; Scrimieri D.; Abdullatif A. | IEEE | 10.23919/FRUCT56874.2022.9953853 | |||||
Novel Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets | 2022 | 21st IEEE International Conference on Machine Learning and Applications (ICMLA) | 21st IEEE International Conference on Machine Learning and Applications (ICMLA) | Mahmoud A.; Neagu D.; Scrimieri D.; Abdullatif A. | IEEE | 10.1109/ICMLA55696.2022.00165 | |||||
Optimal Manufacturing Controller Synthesis Using Situation Calculus | 2023 | AI-2023 Forty-third SGAI International Conference on Artificial Intelligence | AI-2023 Forty-third SGAI International Conference on Artificial Intelligence | Adalat O.; Scrimieri D.; Konur S. | Springer | ||||||
Modular reconfiguration of flexible production systems using machine learning and performance estimates | 2022 | 10th IFAC Manufacturing Modelling, Management and Control Conference | 10th IFAC Manufacturing Modelling, Management and Control Conference | 0 | Scrimieri D.; Adalat O.; Afazov S.; Ratchev S. |
Peer Reviewed Journal
Title | Year | Publication name | Journal | Volume | Pages | Authors | Editors | ISSN | Publisher | DOI | Location |
---|---|---|---|---|---|---|---|---|---|---|---|
Automated experience-based learning for plug and produce assembly systems | 2017 | International Journal of Production Research | 55 | 3674 - 3685 | Scrimieri D.;Antzoulatos N.;Castro E.;Ratchev S. | 0020-7543 | 10.1080/00207543.2016.1207817 | ||||
An in-core grid index for transferring finite element data across dissimilar meshes | 2015 | Advances in Engineering Software | 88 | 53 - 62 | Scrimieri D.;Afazov S.;Ratchev S. | 0965-9978 | 10.1016/j.advengsoft.2015.06.001 | ||||
Learning and reuse of engineering ramp-up strategies for modular assembly systems | 2015 | Journal of Intelligent Manufacturing | 26 | 1063 - 1076 | Scrimieri D.;Oates R.;Ratchev S. | 0956-5515 | 10.1007/s10845-013-0839-6 | ||||
A k-Nearest Neighbour Technique for Experience-Based Adaptation of Assembly Stations | 2014 | Journal of Control, Automation and Electrical Systems | 25 | 679 - 688 | Scrimieri D.;Ratchev S. | 2195-3880 | 10.1007/s40313-014-0142-6 | ||||
A multi-agent architecture for plug and produce on an industrial assembly platform | 2014 | Production Engineering | 8 | 773 - 781 | Antzoulatos N.;Castro E.;Scrimieri D.;Ratchev S. | 0944-6524 | 10.1007/s11740-014-0571-x | ||||
Fast mapping of finite element field variables between meshes with different densities and element types | 2014 | Advances in Engineering Software | 67 | 90 - 98 | Scrimieri D.;Afazov S.;Becker A.;Ratchev S. | 0965-9978 | 10.1016/j.advengsoft.2013.08.003 | ||||
Compile-time computation of polytime functions | 2007 | Journal of Universal Computer Science | 13 | Covino E.;Pani G.;Scrimieri D. | 10.3217/jucs-013-04-0468 | ||||||
Chatter model for enabling a digital twin in machining | 2020 | International Journal of Advanced Manufacturing Technology | 110 | 2439 - 2444 | Afazov S.;Scrimieri D. | 0268-3768 | 10.1007/s00170-020-06028-9 | ||||
An improved distortion compensation approach for additive manufacturing using optically scanned data | 2021 | Virtual and Physical Prototyping | 16 | 1 - 13 | Afazov S.;Semerdzhieva E.;Scrimieri D.;Serjouei A.;Kairoshev B.;Derguti F. | 1745-2759 | 10.1080/17452759.2021.1881702 | ||||
Design of a self-learning multi-agent framework for the adaptation of modular production systems | 2021 | International Journal of Advanced Manufacturing Technology | 115 | 1745 - 1761 | Scrimieri D.;Afazov S.;Ratchev S. | 10.1007/s00170-021-07028-z | |||||
Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare | 2023 | Computers in Biology and Medicine | 164 | Mahmoud A.; Neagu D.; Scrimieri D.; Abdullatif A. | 10.1016/j.compbiomed.2023.107295 | ||||||
An integrated data- and capability-driven approach to the reconfiguration of agent-based production systems | 2023 | International Journal of Advanced Manufacturing Technology | 124 | Scrimieri D.; Adalat O.; Afazov S.; Ratchev S. | 10.1007/s00170-022-10553-0 |