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researcher

Dr Daniele Scrimieri

Assistant Professor

Faculty/Dept/School Faculty of Eng & Digital Technologies
Emaild.scrimieri@bradford.ac.uk
Telephone +441274 232350

Biography

Daniele Scrimieri is Assistant Professor in Computer Science and Programme Leader for BSc Computer Science for Cyber Security and MSc Cyber Security at the University of Bradford. He worked as Senior Software Engineer at Nikon Metrology and LK Metrology, and as Research Fellow at the Institute for Advanced Manufacturing of the University of Nottingham. He received his PhD in Computer Science from the University of Bari "Aldo Moro", Italy.

Research

Research interests: intelligent manufacturing, metrology, software engineering and formal methods.

Teaching

Teaching interests

Software Engineering, Internet of Things, Cyber Security.

Teaching highlights

Publications

TitleAn integrated data- and capability-driven approach to the reconfiguration of agent-based production systems (2023)
AuthorsScrimieri D.; Adalat O.; Afazov S.; Ratchev S.
JournalInternational Journal of Advanced Manufacturing Technology
DOI10.1007/s00170-022-10553-0
 
TitleEarly diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare (2023)
AuthorsMahmoud A.; Neagu D.; Scrimieri D.; Abdullatif A.
JournalComputers in Biology and Medicine
DOI10.1016/j.compbiomed.2023.107295
 
TitleAn improved distortion compensation approach for additive manufacturing using optically scanned data (2021)
AuthorsAfazov S.;Semerdzhieva E.;Scrimieri D.;Serjouei A.;Kairoshev B.;Derguti F.
JournalVirtual and Physical Prototyping
DOI10.1080/17452759.2021.1881702
 
TitleDesign of a self-learning multi-agent framework for the adaptation of modular production systems (2021)
AuthorsScrimieri D.;Afazov S.;Ratchev S.
JournalInternational Journal of Advanced Manufacturing Technology
DOI10.1007/s00170-021-07028-z
 
TitleChatter model for enabling a digital twin in machining (2020)
AuthorsAfazov S.;Scrimieri D.
JournalInternational Journal of Advanced Manufacturing Technology
DOI10.1007/s00170-020-06028-9
 
TitleAutomated experience-based learning for plug and produce assembly systems (2017)
AuthorsScrimieri D.;Antzoulatos N.;Castro E.;Ratchev S.
JournalInternational Journal of Production Research
DOI10.1080/00207543.2016.1207817
 
TitleLearning and reuse of engineering ramp-up strategies for modular assembly systems (2015)
AuthorsScrimieri D.;Oates R.;Ratchev S.
JournalJournal of Intelligent Manufacturing
DOI10.1007/s10845-013-0839-6
 
TitleAn in-core grid index for transferring finite element data across dissimilar meshes (2015)
AuthorsScrimieri D.;Afazov S.;Ratchev S.
JournalAdvances in Engineering Software
DOI10.1016/j.advengsoft.2015.06.001
 
TitleFast mapping of finite element field variables between meshes with different densities and element types (2014)
AuthorsScrimieri D.;Afazov S.;Becker A.;Ratchev S.
JournalAdvances in Engineering Software
DOI10.1016/j.advengsoft.2013.08.003
 
TitleA k-Nearest Neighbour Technique for Experience-Based Adaptation of Assembly Stations (2014)
AuthorsScrimieri D.;Ratchev S.
JournalJournal of Control, Automation and Electrical Systems
DOI10.1007/s40313-014-0142-6
 
TitleA multi-agent architecture for plug and produce on an industrial assembly platform (2014)
AuthorsAntzoulatos N.;Castro E.;Scrimieri D.;Ratchev S.
JournalProduction Engineering
DOI10.1007/s11740-014-0571-x
 
TitleCompile-time computation of polytime functions (2007)
AuthorsCovino E.;Pani G.;Scrimieri D.
JournalJournal of Universal Computer Science
DOI10.3217/jucs-013-04-0468
 
Title Author(s)
Towards Autonomous Health Monitoring of Rails Using a FEA-ANN Based Approach (2022)Brown L.; Afazov S.; Scrimieri D.
Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective (2022)Mahmoud A.; Neagu D.; Scrimieri D.; Abdullatif A.
Efficient Finite Element Mesh Mapping Using Octree Indexing (2022)Adalat O.; Scrimieri D.
Model-based generation of manufacturing process plans through incremental topology formation (2022)Adalat O.; Talal M.; Ali Cherif M.; Scrimieri D.
Novel Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets (2022)Mahmoud A.; Neagu D.; Scrimieri D.; Abdullatif A.
Modular reconfiguration of flexible production systems using machine learning and performance estimates (2022)Scrimieri D.; Adalat O.; Afazov S.; Ratchev S.
Automated experience-based learning for plug and produce assembly systems (2015)Scrimieri D.;Antzoulatos N.;Castro E.;Ratchev S.
A multi-agent system architecture for self-configuration (2014)Antzoulatos N.;Castro E.;Scrimieri D.;Ratchev S.
An agent based framework to support plug and produce (2014)Rocha A.;Di Orio G.;Barata J.;Antzoulatos N.;Castro E.;Scrimieri D.;Ratchev S.;Ribeiro L.
Capture and application of adaptation knowledge on assembly stations (2013)Scrimieri D.;Ratchev S.
Accelerated ramp-up of assembly systems through self-learning (2012)Oates R.;Scrimieri D.;Ratchev S.