Dr. Huaizhong Zhang

Qualifications
  • PhD, University of Ulster, 2010
  • MEng, NUAA, China, 1997
  • MSc, South-East University, China, 1990
  • BSc, East China Normal University, 1984
  • Associate Fellow of HEA
  • Member of BCS
  • Member of IEEE
Dr. Huaizhong Zhang 

Research Contact Teaching

Deep learning, big data, image processing, pattern recognition, object detection & tracking, statistical modelling

Orcid id
DBLP
University Repository
ResearchGate

Dr. Huaizhong Zhang
Department of Computer Science
Edge Hill University
Ormskirk
Lancashire
L39 4QP

Phone: 01695 657389
Email: Huaizhong Zhang
Office: THG10

  • Operating Systems
  • Data Analytics
  • Cloud Application
  • Intelligent Systems

Bio

Huaizhong Zhang is a Senior Lecturer in the Department of Computer Science at Edge Hill University. His research interests mostly lie in the areas of deep learning and big data, image analysis, object tracking and recognition. In the past research experiences, he have carried out the studies with a variety of image/video modalities like CT, MRI, OCT, Thermal video, Hyperspectral remote sensing etc. A broad of the cutting-edge techniques have been involved into the relevant investigation. Among these, the main methods involved include CNN based techniques, Bayesian methods, level sets, MCMC, PDE, statistical learning, and graph theory etc. In addition, he have conducted various software developments, for examples, Proteomics/open source pipelines, video surveillance system, and computer assisted instruction etc.

External Academic Activities

Research and Knowledge Transfer Grants:
2018 RIF Project – Intelligent Vehicle Detection in Infrared Imagery by combining Deep Learning Techniques and Deformable Modelling, Principal Investigator.
2018 – 2019 NERC-ARF-FSF: Assessing the nature and causes of coastal dune evolution, Co-Investigator.
2016-2017 AALART Project (collaboration with Thales UK & CENSIS Innovation Centre Glasgow funded from Scottish Funding Council), Principal Investigator.
Invited Talks:
  • August 2014, Dept. Computer Science, Swansea University, http://csvision.swan.ac.uk/index.php?n=Site.InvitedSeminar
  • July 2011, Medical School, South-east University, China
  • Conference Programme committees:
  • BMVC 2015, Swansea, Wales, 2015
  • AICS 2011, Londonderry NI, 2011
  • IMVIP2008, Portrush, NI
  • Research Publications

    Selected journal papers:
  • HUAIZHONG ZHANG, PABLO CASASECA, CHUNBO LUO, et al (2018). A novel infrared video surveillance system using deep learning based techniques, J. Multimedia Application and Tools, Springer, vol. 77(20), pp. 26657-76, October 2018 (JCR 2016 Impact Factor: 1.53). ISSN: 1380-7501 [accepted]
  • H. ZHANG and X. XIE (2015). Divergence of Gradient Convolution: Deformable Segmentation with arbitrary initializations. IEEE Trans. Image Processing, Vol.24, No. 11, 3902-14 (JCR 2015 Impact Factor: 3.111)
  • D. QI, H. ZHANG, J. FAN, S. PERKINS, ET AL (2015). The mzqLibrary – an open source Java library supporting the HUPO-PSI quantitative proteomics standard. Journal of Proteomics (Wiley), 15(18), 3152-62 (JCR Impact Factor: 3.973)
  • H. ZHANG, P. MORROW, S. MCCLEAN and K. SAETZLER (2012). Coupling edge and region-based information for boundary finding in biomedical Imagery, International Journal of Pattern Recognition (Elsevier), Vol. 45(2):672-684 (JCR Impact Factor: 2.584)
  • M. JING, M. MCGINNITY, S. COLEMAN and H.Z. ZHANG (2012), A. Fuchs and J. Kelso. Enhancement of Fibre Orientation Distribution Reconstruction in Diffusion Weighted Imaging by Single Channel Blind Source Separation. IEEE Tran. Biomedical Engineering, 59(2):363-373 (JCR Impact Factor 2.233).
  • H. ZHANG, P. MORROW, S. MCCLEAN and K. SAETZLER (2010). A Bayesian approach to convergence of curve evolution methods, International Journal of Pattern Recognition Letters (Elsevier), Vol. 31(13): 1909-1918 (JCR Impact Factor: 1.062).
  • Refereed Conference Papers:
  • Huaizhong Zhang, Pablo Casaseca, Chunbo Luo, Qi Wang, Matthew R. Kitchin, Andrew Parmley, Jesús Monge-Álvarez. Systematic infrared image quality improvement using deep learning based techniques, Proceedings of SPIE Remote Sensing, 10008-24, 2016.
  • F. Gonzalez; A. Collins; J. Fan; H. Zhang; A. Dowsey; H. Hermjakob; C. Bessant; S. Hubbard; A. Jones. ProteoSuite v1.0 – An open source framework for quantitative proteomics analysis based on PSI data standards. ASMS2014.
  • D. Qi, J. Fan, H. Zhang, S. Hubbard, C. Bessant, and A. R. Jones. An open source Java library for supporting quantitative proteomics standard. HUPO2014.
  • Huaizhong Zhang, Xianghua Xie. An adaptive denoising method to reduce Rician noise in MRI. In Proceeding of IEEE ISBI2014, Beijing, 29 April – 2 May, 2014.
  • H. Zhang, E. Essab and X. Xie. Graph based segmentation with minimal user interaction, pp. 4074-4078, In Proceeding of IEEE ICIP2013, Melbourne, Australia, September 15-18, 2013.
  • H. Zhang and X. Xie. Medical image segmentation using magnetostatic active contours (MAC) with tensor diffusion, Proceedings of 16th Medical Image Analysis and Understanding, pp. 126-130, Swansea, UK, 9-11 July, 2012.
  • H. Zhang, M. McGinnity and S. Coleman. Estimation of the Underlying Fiber Orientation Using Spherical k-means from the Diffusion ODF. Proceedings of AICS2011. pp.96-105, Londonderry, UK, 2011.
  • M. Jing, M. McGinnity, S. Coleman and H. Zhang. Enhancement of diffusion orientation distribution reconstruction in Q-Ball imaging by single channel ICA. AICS2011, pp.174-183, Londonderry, UK, 2011.
  • H. Zhang, M. McGinnity, S. Coleman and M. Jing. A novel criterion for characterizing diffusion anisotropy in HARDI data based on the MDL technique, Proceedings of ICMB 2010, LNCS 6165, Hong Kong, China.
  • H. Zhang, P. Morrow, S. McClean and K. Saetzler. On MCMC-based algorithm to adjust scale bias in large series of electron microscopical ultrathin sections, Proceedings of CAIP 2009, Munster, Germany.
  • H. Zhang, P. Morrow, S. McClean and K. Saetzler. Contour detection of labeled cellular structures from serial ultrathin electron microscopy sections using GAC and prior analysis, IEEE Proceedings of IPTA’08, pp. 317-323, Sousse, Tunisia, Nov. 2008.
  • H. Zhang, P. Morrow, S. McClean and K. Saetzler. Incorporating feature based priors into the Geodesic Active Contour model and its application in biomedical imagery. Proceedings of IMVIP 2007, pp. 67-74, NUI Maynooth, Dublin, Sept. 2007.
  • H. Zhang, P. Morrow, S. McClean and K. Saetzler. Joining Edge and Region-based Information for Boundary Finding in Biomedical Imagery. SCHW01 at Newton Institute, Cambridge University, Jan. 2008. (Poster)
  • H. Zhang, P. Morrow, S. McClean and K. Saetzler. The effects of non-alignments on 3D reconstructions and quantitative measurement in large series of electron microscopical ultra-thin sections, Poster at NeuroSciences 2007, San Diego, Nov. 2007. (Poster)
  • H. Zhang, F.Hamprecht, A.Amann. Report about VOCs Dataset’s Analysis based on randomForests Method, IEEE Proceedings of HPC-Asia05, Beijing, Nov. 2005.
  • Chen Suoyan, Zhang Huaizhong. Traffic flow forecasting based on grey neural network model. Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi’an, 2-5 Nov., 2003.
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