Bradford University - Computer Science
Professor of Computing at University of Bradford
Daniel
Neagu
Artificial Intelligence, Machine Learning, Big Data Analytics, Data Mining, Automotive Analytics, Healthcare Data Governance, Product Safety, Predictive Toxicology, IT Employability and Professional Development.
Research Fellow
EC FP5 project IMAGETOX
Head of Computer Science
Daniel worked at University of Bradford as a Head of Computer Science
Professor of Computing
FHEA, MACM, MBCS, MIEEE CS&CIS
AIRe (Artificial Intelligence Research) Group Leader
Co-Director, Advanced Automotive Analytics Research Laboratory, University of Bradford
Associate Editor for Expert Systems: The Journal of Knowledge Engineering, Wiley
Exchange Studies Coordinator: Computer Science
Co-Director: Computing Enterprise Centre
Research and Knowledge Transfer:
UKRI, industry and EC FPs funded research projects coordinator (selection):
Big Data Analytics:
Jaguar Land Rover Advanced Powertrain Reliability R&D - Intelligent Personalised Powertrain Health Care (InPowerCare)
Innovate UK and Rakusen’s Leeds KTP Intelligent Process Control using Big Data and IoT
Data & Model Governance:
WP leader, MB member: SEURAT-1 FP7/Cosmetics Europe project COSMOS (2011-2015): http://www.cosmostox.eu/
TSB & Syngenta ltd KTP Data and Model Governance for Predictive Toxicology
Computational Intelligence, Product Safety:
WP leader, MB member: FP5 QoL project DEMETRA
EPSRC grant PYTHIA Predictive Toxicology Knowledge Representation and Processing Tools Based on a Hybrid Intelligent Systems Approach
Smart Cities, Machine Learning:
ERDF InterReg NorthSea Smart Cities and Open Data Re-use (SCORE)
Innovate UK Urban Living Integrated Products & Services competitive call: Binnovation - Using IoT technology for household waste management
Innovate UK and Hebe Works ltd Leeds KTP Open Data for Smart Cities
Innovate UK and Incommunities ltd KTP Decision Support System for Sustainable Housing
AI:
EC FP7 Capacities ENGINE: European research centre of network intelligence for innovation enhancement WP2 project partner
Invited Expert and Reviewer for RC UK, EC H2020 & IMI, national Research Councils (Austria, Canada, Chile, Cyprus)
External Examiner for 20+ Universities (PhDs, taught programmes in Computer Science, Artificial Intelligence, Information Technology, academic promotions)
Conference organisation: EDMA series (https://ukci2020.dcs.aber.ac.uk/edma/), UKCI 2014
Doctor of Philosophy - PhD
Computer Science
MEng
Automation & Computers
BSc (Hons)
Information Technology