Dr. Daniele Scrimieri,Assistant 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
Biography
Dr Daniele Scrimieri is Assistant Professor in ComputerScience and Programme Leader for BSc Computer Science for Cyber Security andMSc Cyber Security. Daniele is Fellow of the Advance HE (FHEA) and received hisPhD from the University of Bari “Aldo Moro” (Italy).
Daniele’s 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 inhealthcare. Daniele worked in industry for 8 years at LK Metrology, NikonMetrology and MERMEC, where he designed and developed metrology software forclients such as BAE Systems, Volvo and Safran Aircraft Engines, as well assafety-critical control systems for clients such as RFI (Italian railwaynetwork). He was work package leader or senior researcher in various projectson smart factories (EC FP7 FRAME, PRIME, Copernico; EPSRC Evolvable AssemblySystems, Cloud Manufacturing), while working at the Institute for AdvancedManufacturing of the University of Nottingham. Daniele is Co-I of the InnovateUK project “Smart and Sustainable Manufacturing for Baking Industry” and was PIof the project “Automatic synthesis of manufacturing process controllers” that ranin 2022 (University of Bradford’s SURE Research Projects Fund).
Danieleis member of the EPSRC Peer Review College and member of the editorial board ofthe Journal of Universal Computer Science. He is peer reviewer for top-tier journalssuch as Engineering Applications of Artificial Intelligence, Journal of IntelligentManufacturing and Additive Manufacturing. He is member of the Faculty Researchand Innovation Committee and Postgraduate Research Sub-Committee.
Daniele teaches Software Systems Design and Testing, CyberPhysical Systems Security and Internet of Things. Both his UG and PG CyberSecurity programmes have received provisional accreditation from the NationalCyber Security Centre. He serves as external examiner in two universities inthe UK.
Research
Research interests: artificial intelligence, manufacturing, metrology, software engineering.
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
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 |