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Dr Paul Trundle

Dr Paul Trundle

  • Title: Senior Lecturer in Computing
  • Email: P.R.Trundle@Bradford.ac.uk
  • Extension: 5118
  • Room No. Horton D4.08
  • Qualifications: BSc (Hons) University of Bradford, PhD University of Bradford, PGCHEP University of Bradford
  • Additional Role: Director of Recruitment (EECS)
  • Additional Role: BSc Computer Science for Games Programme Leader
  • Additional Role: Admissions Tutor (Computer Science)
  • Research Groups: Artificial Intelligence

BIOGRAPHY +

Paul graduated from the University of Bradford in 2004 after completing a Bachelor's degree in Computer Science, gaining a first class degree with honours. In 2008 he successfully defended his PhD thesis entitled "Hybrid Intelligent Systems Applied to Predict Pesticide Toxicity: A Data Integration Approach". From 2008 to 2010 he was employed as a Research Assistant in the Digital Media & Systems Research Institute in the School of Computing, Informatics & Media at the University of Bradford. He is currently a Senior Lecturer in the School of Electrical Engineering and Computer Science at the University of Bradford. Paul's research interests include data mining, machine learning, artificial intelligence including applications in gaming, text processing, document clustering, document summarisation and general computational intelligence.

GRANTS +

Current, and significant recent, funded projects

InnovateUK project with HebeWorks Ltd., Leeds (2015-16, CI), with Professor Daniel Neagu (£107,323)

InnovateUK KTP project with Hebeworks Ltd., Leeds (2015-16, PI), with Professor Daniel Neagu (£103,454)

University of Bradford HEIF-funded project on the International Dementia Care Mapping (DCM) Database (2013-2015, CI), with Professor Daniel Neagu and Dr. Claire Surr

Lhasa PhD studentship: A knowledge based approach to the influence of formulation on predictions of toxicity (2012-2015, CI)

Yorkshire Innovation Fund Small Innovation Project with Webanywhere Ltd. (2013): Towards an Accessible Platform for Supporting Secondary School Teachers in Improving ICT and Computing in Schools. (£9,306)

AWARDS AND RECOGNITION +

Fellow of the Higher Education Academy
Member of BCS, The Chartered Institute for IT

INTERNATIONAL SCIENTIFIC ACTIVITIES +

Publication Chair: The 14th UK Workshop on Computational Intelligence (UKCI2014), September 8th-10th 2014, University of Bradford, UK

Programme Committee Member: The 6th International Symposium on Advances in Artificial Intelligence and Applications (AAIA'11), 19th-21st September 2011, Szczecin, Poland

INTERNATIONAL PROFILE +


Fellowships of Professional Institutions or equivalent

Fellow of the Higher Education Academy
[2015]

Member of BCS, The Chartered Institute for IT
[2014]

RESEARCH STAFF +

Dr. Pritesh Mistry - KTP Associate 2015-16

RESEARCH STUDENTS +

Current:

Lorna Armitage: Why are social Engineering Attacks So Successful? (with Dr. Rana Tassabehji)

Kevin Evans: Behaviour modelling as a means of identifying illicit user or system behaviour (with Dr. Andrea Cullen)

Haruna Isah: Knowledge Discovery in Drugs Anti-counterfeiting (with Professor Daniel Neagu)

Graduated:

Pritesh Mistry: A knowledge based approach to the influence of formulation on predictions of toxicity (with Professor Daniel Neagu), awarded PhD 2016

PUBLICATIONS

Edited Books +

  • Benfenati E. (ed.) 2007, "Quantitative Structure-Activity Relationship (QSAR) for Pesticide Regulatory Purposes", Elsevier ISBN: 978-0444527103.

Journal Publications +

  • Mistry P., Neagu D., Sanchez-Ruiz A., Trundle P. and Vessey J.D. (2018): "Prediction of the effect of formulation on the toxicity of chemicals" Toxicology Research, 6 42-53.
    For more information see: http://pubs.rsc.org/en/content/articlehtml/2017/TX/C6TX00303F
  • Mistry P., Neagu D., Trundle P. and Vessey J.D. (2015): "Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology" Soft Computing.
    For more information see: http://link.springer.com/article/10.1007%2Fs00500-015-1925-9
  • Palczewska A, Fu X, Trundle P, Yang L and Neagu L (2013): "Towards model governance in predictive toxicology" International Journal of Information Management (in press), Elsevier.
    For more information see: http://www.sciencedirect.com/science/article/pii/S0268401213000388
  • Nibouche O, Jiang J and Trundle P (2011): "Analysis of performance of palmprint matching with enforced sparsity" Digital Signal Processing, Elsevier, 22 348-355.
    For more information see: http://www.surrey.ac.uk/computing/files/pdf/papers/Jianmin_Jiang/Jiang_2012_4.pdf
  • Jiang J., Trundle P.R. and Ren J. (2010): "Medical image analysis with artificial neural networks" Computerised Medical Imaging and Graphics, Elsevier, 34 (8): 617-631.
    For more information see: http://dx.doi.org/10.1016/j.compmedimag.2010.07.003
    Download PDF
  • Jiang J., Khelifi F., Trundle P.R. and Geven A. A.(2009): "HERMES: a FP7 funded project towards the development of a computer-aided memory management system via intelligent computations " Journal of Assistive Technologies, Pier Publishing, 3 (3): 27-35.
    Download PDF
  • Neagu D., Guo G., Trundle P.R. and Cronin M.T. (2007): "A Comparative Study of Machine Learning Algorithms Applied to Predictive Toxicology Data Mining" Alternatives to Laboratory Animals (ATLA), FRAME, 35 25-32.

Conference Contributions +

  • Mistry P., Nague D. and Trundle P. (2014): "Using computational methods for the prediction of drug vehicles.", Proceedings of the 14th UK Workshop on Computational Intelligence (UKCI 2014), Bradford, UK.
  • Isah H., Neagu D. and Trundle P. (2014): "Social media analysis for product safety using text mining and sentiment analysis", Proceedings of the 14th UK Workshop on Computational Intelligence (UKCI 2014), Bradford, UK.
  • Khelifi F., Jiang J. and Trundle P. (2009): "A Memory Management System towards Cognitive Assistance of Elderly People", Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, Lecture Notes in Computer Science, Volume 5518/2009, 735-739, Salamanca, Spain.
    For more information see: http://www.springerlink.com/content/lx4157x5361u112j/
  • Trundle P. and Jiang J. (2009): "Human Memory Assistance through Semantic-Based Text Processing", Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, LNCS Volume 5518/2009, 780-787, Salamanca, Spain.
    For more information see: http://www.springerlink.com/content/6148j20ku0862765/
    Download PDF
  • Trundle P.R., Neagu D., Craciun M. and Chaudhry Q. (2007): "Development of Multi-Output Neural Networks for Data Integration: a Case Study", Innovations in Hybrid Intelligent Systems, E. Corchado, J.M. Corchado, A. Abraham (Eds.), Advances in Soft Computing, Vol. 44/2008, pp. 80-87, ISBN: 978-3-540-74971-4,Springer, Salamanca, Spain.
  • Trundle P.R., Neagu D. and Chaudhry Q. (2007): "Multi-Source Data Modelling: Integrating Related Data to Improve Model Performance", Machine Learning and Data Mining in Pattern Recognition: Proceedings of the 5th International Conference on Machine Learning and Data Mining (MLDM 2007), Petra Perner (Ed.), pp. 32-46. Lecture Notes in Computer Science (LNCS 4571), Springer, Leipzig, Germany.
  • Neagu D., Guo G., Trundle P.R. and Cronin M.T. (2005): "A Comparative Study of Machine Learning Algorithms Applied to Predictive Toxicology Data Mining", Proceedings of the ETS & SSCT Conference "Chemicals, Human, Environment", Toila, Estonia.
  • Trundle P.R., Chaudhry Q. and Neagu D. (2005): "Improving Prediction Accuracy of Neural Network Ensembles: a Genetic Algorithms Approach", Proceedings of the Sixth Informatics Workshop for Research Students, University of Bradford, Bradford, United Kingdom.
Profile last updated on: 08-11-2016