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Ciprian Daniel Neagu

Professor of Computing

Area
School of CSAI&E
Faculty of Eng & Digital Technologies
Language
English
Romanian
E-mail
Phone
Ciprian Daniel Neagu

Biography

Ciprian Daniel Neagu was appointed Professor of Computing with the University of Bradford in 2011: he joined the Department of Computing and Mathematics as Lecturer in 2002, and was promoted to Senior Lecturer in 2005. He has previously served as Associate Professor at the Department of Computer Science & Engineering, University of Galati (Romania), Post-Doctoral Research Fellow, Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy (funded by the EC FP5 Research Training Network IMAGETOX), and Systems Engineer with National Office for Statistics (Romania). 

Professor Neagu has 25+ years of funded research leadership by industry, EC FPs, EPSRC, BBSRC, RAENG. He is AI Research (AIRE) Group Leader, academic liaison for Turing University Network since 2023, Academic Coordinator for Exchange Studies in Computer Science and Artificial Intelligence, active speakeron Responsible AI, and SAFI lead for Big Data Statistical and Machine Learning Applications (2020-2024).

His research focuses on fundamental approaches for Responsible and Sustainable Artificial Intelligence, and applications for Product Safety, Predictive Toxicology, Healthcare and Wellbeing, Social Media, Heritage and Arts. His research is motivated by the desire to advance the AI field by studying systems from rigorous computational and philosophical perspectives. The main theme throughout his academic work is to develop models of multidisciplinary systems by the fusion of know-what, know-how and computational intelligence for the holistic benefit of humanity and environment. He strongly believes Computer Science provides now media for knowledge acquisition, analysis, design, deployment and validation to serve responsibly sustainable aims that play vital roles in the progress of science and society.

Professor CD Neagu is member of British Computer Society (BCS The Chartered Institute for IT), where he served as committee member of the BCS SGAI (Specialist Group on Artificial Intelligence) from 2011-2013. He was the General Co-Chair for 16th Int’l Conf Knowledge Science, Engineering and Management (KSEM 2023, Guangzhou, China, 16-18 August 2023), the Program Committee Co-Chair for IEEE ICMLA 2022 (Nassau, Bahamas, 12-14 December 2022), the General Chair of the 4th IEEE International Conference on Data Science and Systems DSS2018, the 14th Annual Workshop on Computational Intelligence UKCI2014 and the series of the International Workshop on Engineering Data- & Model-driven Applications EDMA2017, EDMA2018, EDMA2019, Deputy Technical Programme Chair for BCS SGAI AI Conferences in 2011, 2012 and 2013 (Cambridge, UK).

Professor CD Neagu is Associate Editor for Expert Systems: The Journal of Knowledge Engineering (Wiley), and invited editor for Expert Systems, Springer Neural Computing and Applications, and Springer Soft Computing journals.

He served as external examiner for PhDs, MPhil and MRes for Universities of Luxembourg, l’Institut Polytechnique de Paris (Telecom), Aberystwyth, York, East Anglia, Huddersfield, Hull, Liverpool, Liverpool John Moores, Northumbria, Sheffield, Sunderland, Ulster, Coventry, West Scotland, and External Examiner for undergraduate and postgraduate Computer Science and Artificial Intelligence degrees at University of Liverpool, University of Mauritius, University of Huddersfield, Northumbria University.

Professor CD Neagu is invited Expert for EC Horizon Europe, Horizon Europe: Marie Skłodowska-Curie Actions - European CommissionInnovative Health Initiative | IHI Innovative Health Initiative, EC H2020, EC Innovative Medicines Initiative (IMI), UKRI, EPSRC, AHRC, MRC, BBSRC, ESRC, STFC, NIHR and a number of international research councils (Austria, France, Cyprus, Canada, Chile). He has been accepted on the Higher Education Academy register of practitioners in 2006, and is AHE/HEA Senior Fellow since 2024, and contributed to the UKCGE (UK Council for Graduate Education) Postgraduate Funding and Resourcing Working Group (2014-2015).

Professor Ciprian Daniel Neagu currently coordinates and teaches Advanced Machine Learning, Software Design and Development, Final Year Project academic modules. He has proposed/ designed and coordinated: Statistical Applications of Industrial Big Data, Big Data Systems and Analytics, Software Development (at UG and PGT levels), Data Structures and Algorithms, Group Project, Data Fusion, Artificial Intelligence with Applications, Computer Architecture and Systems, and Technical & Professional Skills academic modules. He delivers/ed modules, presentations and invited training sessions to SAFI - Automotive Research Centre - University of Bradford, BBC Academy, Montpellier Business School, EC FPs consortia schools, OEMs, and coordinated data hackathons and research seminars series.

Professor CD Neagu's interest in United Nations' Sustainable Development Goals (SDGs) is currently focused on the following: SDG3: Good health and well-being; SDG10: Reduced inequalities; SDG11: Sustainable cities and communities; SDG13: Climate action.

PhD Supervision: applicants are welcome to submit expressions of interest in the following topics: 1. Responsible AI for Health and Social Care and Wellbeing at University of Bradford on FindAPhD.com; 2. Responsible AI and Digital Twins for Sustainable Biodiversity Net Gain at University of Bradford on FindAPhD.com; 3. Responsible AI and Digital Twins for Sustainable Heritage at University of Bradford on FindAPhD.com


Research

Professor Ciprian Daniel Neagu's research focuses on fundamental Artificial Intelligence concepts of Responsible and Trustworthy AI, and techniques applied in Heritage, Product Safety, Predictive Toxicology, Healthcare, Engineering, Online Social Networks, Data Quality, Big Data. Professor CD Neagu's research has been motivated by his desire to advance the AI field by studying systems from rigorous philosophical and computational perspectives. The main theme throughout his academic work is to develop models of multidisciplinary information systems by the fusion of human experts' knowledge and digital information. He strongly believes Computer Science is now a media for knowledge representation, exchange and retrieval to serve multidisciplinary objectives and purposes with rigour and trust. Know-what and Know-how representation and algorithmic discovery to identify key attributes and making unknown, hidden, distributed knowledge accessible to people plays a vital role in the progress of science and technology, thus Professor Ciprian Daniel Neagu's work addresses applications as diverse as health and well being, engineering and safety.
Research Groups: Artificial Intelligence Research (AIRE) Group

PhD Supervision - applicants are welcome to submit expressions of interest in the following topics:

1.       Responsible AI for Health and Social Care and Wellbeing at University of Bradford on FindAPhD.com

2.       Responsible AI and Digital Twins for Sustainable Biodiversity Net Gain at University of Bradford on FindAPhD.com

3.       Responsible AI and Digital Twins for Sustainable Heritage at University of Bradford on FindAPhD.com

Professional activities

  • Journal special issue editor for Springer Soft Computing (1 January 2012)
  • IEEE Technical Expert (1 January 2010)
  • Best Student Paper award with PhD student Yousef Alqasrawi a (1 January 2009)

  • MBCS (member of British Computer Society) (1 January 2005)

  • University of Galati - PhD
  • Technical University of Iasi - MEng
  • University of Galati - BSc (Hons)

  • University of Bradford - Professor of Computing (1 November 2011)
  • University of Bradford - Lecturer/Senior Lecturer in Computing (1 August 2002)
  • Politecnico di Milano - Research Fellow (1 January 2001)
  • University of Galati - Associate Professor (1 January 1993)

  • Co-Chair: Co-Chair: The International Workshop on Engineering Data- & Model-driven Applications, joined with 10th IEEE International Conference on Cyber, Physical and Social Computing EDMA
  • Conference Attendee: IEEE Int'l Conf on Tools with Artificial Intelligence ICTAI
  • PhD External Examiner: PhD internal examiner, University of Bradford (Computing)
  • PhD External Examiner: PhD internal examiner, University of Bradford (EIMC)
  • Mphil External Examiner: MPhil external examiner, University of Huddersfield
  • PhD External Examiner: PhD External Examiner, University of Sunderland
  • PhD External Examiner: PhD External Examiner, University of Ulster
  • External Expert Reviewer: External expert reviewer for Higher Education Academy (ICT Development Funds)
  • Refereeing: Referee for Royal Society
  • Evaluator: Project Evaluator for MRC
  • Invited Evaluator: Invited project evaluator for EPSRC, The Leverhulme Trust, European Commission Innovative Medicines Initiative and Beilstein Institute (Germany)
  • Invited Speaker: The Institution of Engineering and Technology (IET) invited talk: Information Quality in e-learning (with Mona AlKhattabi and Dr. Andrea Cullen)
  • Invited Speaker: The Institution of Engineering and Technology (IET) invited talk: Algorithms for Social Engineering in Online Social Network (with Sophia ALim, Ruqayya Abdulrahman and Mick Ridley)
  • Fellow: Fellow of Higher Education Academy - HEA
  • Conference Attendee: Special Track Integrated Intelligent Systems, FLAIRS Int'l Conf
  • Conference Attendee: 22 British National Conf on Databases, Workshop on Data Mining BNCOD
  • Conference Attendee: Int'l Conf on Knowledge-Based Intelligent Information & Engineering Systems: KES
  • Co-Chair: Co-Chair: The 18th International Conference on Membrane Computing CMC18
  • Seminar Presenter: Invited Departmental Seminar: Knowledge Representation in Hybrid Intelligent Systems, Oxford University Computing Laboratory
  • General Chair: General Chair: the 14th UK Workshop on Computational Intelligence: UKCI
  • Symposium attendee: Data and Models Governance, UK Symposium on Knowledge Discovery and Data Mining UK KDD, London
  • tbc: Privacy and Vulnerability in Online Social Networks, BCS CAS Inventing the Future
  • tbc: IET Prestige Series
  • Attendee/Meeting Member: Neural Networks and Fuzzy Logic Models for Predictive Toxicology, ECB Meeting on the Validation of neural network models according to the OECD principles, European Chemicals Bureau, Commission Joint Research Centre Ispra, Italy
  • Research: Data Mining for Toxicity, BioActive Sciences Group of The Society of Chemical Industry (UK) meeting on In Silico Design of Bioactive Compounds, Belgrave Square, London
  • Lecturer: NATO Lecturer: An Artificial Intelligence-based approach to predict hazardous waste toxicity, Advanced Study Institute on "Improving the Quality of Site Characterisation-Field Analytics/Dynamic Workplans: The Key to Rapid & Cost Effective Hazardous Waste Site Investigation", NATO Scientific and Environmental Affairs Division (Code SA EST.ASI.979474), Galati, Romania
  • Conference Attendee: The 15th East-European Conference on Advances in Databases and Information Systems ADBIS
  • Workshop Leader: Intelligent modelling algorithms for general evaluation of toxicities, Int'l Workshop on the Use of Computer Models as Alternatives to Animal Experiments in Chemical Risk Assessment ECVAM, Prague, Czech Republic
  • Research: A hybrid intelligent system applied in toxicity data mining, Stockholm Bioinformatics Center
  • Programme Chair: Deputy Technical Programme Chair, SGAI International Conference on Artificial Intelligence, Cambridge, England
  • Conference Attendee: Int'l Conf on Machine Learning and Applications ICMLA 2003, 2005, 2010, 2011, 2015
  • Workshop Attendee: UK Workshop on Computational Intelligence UKCI
  • Conference Attendee: Int'l Conf of Advanced Data Mining and Applications ADMA
  • Invited Reviewer: Invited reviewer, American Chemical Society (ACS)

Publications

  • Monitoring and improvement using Dementia Care Mapping

    Surr C.;Hamilton J.;Firth P.;Jones S.;Neagu D.;Khalid S.;Trundle P.;Jones S.;Tammer Q.;Fox S. (2015) Journal of Dementia Care. 23, 16-17.