Professor Daniel Neagu
Daniel Neagu was appointed Professor of Computing in 2011: he joined the Department of Computer Science 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 (1993-2001).
Daniel received his PhD Cum Laude in Computer Science (2000) at the University of Galati after he obtained a 5-year MEng degree (1990) in Automation and Computer Engineering from Technical University of Iasi and a BSc (Hons) degree (1995) in Information Technology from University of Galati. He spent a research period (1999) at University of Patras, Greece, with Human Computer Interaction Group led by Professor Nikolaos Avouris. After successfully defending his Ph.D. thesis entitled “Using Artificial Neural Networks in Fuzzy Reasoning”, Daniel was appointed Research Fellow at Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy (2001-2002), where he joined the FP5 European Research Network IMAGETOX (Intelligent Modelling Algorithms for General Evaluation of TOXicities) working with Professor Giuseppina Gini.
His research focuses on Artificial Intelligence techniques applied in Toxicology, Software Engineering, Online Social Networks, Data Quality, Big Data, Healthcare. Daniel’s research has been motivated by his desire to advance the AI field by studying systems from rigorous computational perspectives. The main theme throughout his academic work is to develop models of multidisciplinary information systems by the fusion of 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. Mining information to identify key attributes and making unknown, hidden, distributed information accessible to people plays a vital role in the progress of science and technology, thus Daniel’s work addresses applications as diverse as health, security and entertainment.
Daniel leads the Artificial Intelligence Research Group (AIRe). He is member of IEEE Computer Society and Computational Intelligence Society, ACM Association for Computing Machinery, British Computer Society (BCS The Chartered Institute for IT), and committee member of the BCS SGAI (Specialist Group on Artificial Intelligence) 2011-2013. Daniel Neagu served as the General Chair of UKCI2014 the 14th Annual Workshop on Computational Intelligence, Deputy Technical Programme Chair for BCS SGAI AI Conference in 2011, 2012 and 2013 (Cambridge, UK), and invited editor for the Expert Systems journal special issues in 2011 and 2012, Springer Neural Computing and Applications journal special issue on Predictive Analytics Using Machine Learning in 2014/15, and Springer Soft Computing journal special issue on Computational Intelligence in 2015. He served as external examiner for PhDs, MPhil and MRes for Universities of Aberystwyth, Coventry, Huddersfield, Hull, Liverpool, Ulster, Sunderland, Sheffield, Liverpool John Moores and East Anglia.
Daniel has been accepted on the Higher Education Academy register of practitioners in 2006 and is Fellow of Higher Education Academy since 2007. He contributed to the UKCGE (UK Council for Graduate Education) Postgraduate Funding and Resourcing Working Group (2014-2015).
Daniel teaches Data Mining, Data Structures and Algorithms, and leads the Computer Science undergraduate (BSc Hons) and postgraduate (MSc) programmes. He has coordinated Software Development (at UG and PGT level), Group Project, Data Fusion, Artificial Intelligence with Applications, and Computer Architecture and Systems academic modules. He has also delivered modules, presentations and invited training sessions to BBC Academy, NATO training courses, EC FPs consortia schools, and coordinated data hackathons and research seminars series.