Reza Zare's Homepage

Lecturer

Contact Information

G5 Informatics Building
Department of Informatics
University of Leicester
University Road
Leicester
LE1 7RH

Tel: +44 (0)116 252 3391
Email:
mrz3@leicester.ac.uk

 

 

Short Bio:

I am a lecturer at Department of Informatics, University of Leicester. I completed my PhD in Computer Science and Master of Software Engineering at University of Malaya, Malaysia. I also hold a Graduate Certificate in Higher Education (GCHE) at Monash University (Australia).

Research Interests:

My research interests broadly fall into the areas of computer vision, deep learning, machine learning and pattern recognition, specifically in medical domain and healthcare system.
If you are a potential Master and PhD candidate and looking for a supervisor in these areas, please email me to get in touch for a further discussion.

Publications: Journals

  • Lee SL, Zare MR, Muller H, Late Fusion of Deep Learning and Handcrafted Visual Features for Biomedical Image Modality Classification, IET Image Processing, 2018 (ISI cited), accepted for publication
  • Lee SL, Zare MR, Biomedical compound figure detection using deep learning and fusion technique, IET Image Processing, 12(6): 1031-1037, 2018 (ISI cited)
  • Zare MR, Muller H , Automatic Detection of Biomedical Compound Figure using Bag of Words, Int'l Journal of Computing, Communications & Instrumentation Engg, Vol 4, Issue 1., 2017
  • Zare MR, Mueen A, Woo CS, Automatic Medical X-ray Image Classification using Annotation, Journal of Digital Imaging, DOI: 10.1007/s10278-013-9637-0 . 2014 (ISI cited)
  • Zare MR, Mueen A, Woo CS,  Automatic Classification of Medical X-ray Images using Bag of Visual Words , IET Computer Vision, Volume 7, Issue 2, pp. 105 – 114, 2013 (ISI cited)
  • Zare MR, Mueen A, Awedh M, Woo CS, Automatic Classification of Medical X-Ray Images: Hybrid Generative-Discriminative Approach, IET Image Processing, Vol 7, Issue 5, p. 523 – 532, 2013 (ISI cited)
  • Zare MR, Woo CS, Mueen A, Automatic Classification of medical X-ray Images, Malaysian Journal of Computer Science, Volume 26, Issue 1, pp. 9-22. 2013 (ISI cited)

 

Publications: Conference Proceeding

  • Zare MR, Alebiuoso D, Lee SL, "Comparision of handcrafted features and deep learning in classification of medical X-ray images" , 4th International Conference on Information Retrieval and Knowledge Management, 2018, (SCOPUS cited), in press
  • Zare MR, Muller H , "A Medical X-ray Classification and Retrieval System, Pacific Asia Conference in Information System" (CORE Ranked ‘A’ conference ) (SCOPUS cited), 2016
  • Zare MR, Woo CS,  "Blood Cell Image Retrieval using Colour, Shape and Bag of Words", International Conference on Neural Information Processing ( CORE Ranked ‘A’ Conference ) (SCOPUS cited), 2014
  • Zare MR, Mueen A, Woo CS, "Combined Feature Extraction of Medical X-ray Images", IEEE Computer Society, Third International Conference on Computational Intelligence, Communication System and Networks (SCOPUS cited), 2011
  • Zare MR, Mueen A, Woo CS , "Merging Scheme Based Classification of Medical X-ray images", International Conference on Computational Intelligence, Modelling and simulation, (SCOPUS cited), 2011
  • Zare MR, Ainon RN & Woo CS , "Content-Based Image Retrieval for Blood Cells", Third Asia International Conference on Modelling & Simulation, (SCOPUS cited), 2009
  • Zare MR,  Woo, CS & Norfizlina, J. , "Comparative Analysis of Image Retrieval approaches", International Conference of Biomedical Engineering, Malaysia, Vol 21, pp 847-850, (SCOPUS cited), 2008

Teaching:

  • Computational Intelligence in Software Engineering
  • User Interfaces and Human Computer Interaction

 

Award

  • Excellent Teaching Award, Faculty of Information Technology, Monash University Australia

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Contact Us

Admissions Enquiries:
BSc: +44 (0) 116 252 5280
MSc: +44 (0) 116 252 2265
E: BSc  seadmissions@le.ac.uk
E: MSc  pgadmissions@le.ac.uk

Departmental Enquiries:
T: +44 (0) 116 252 2129/3887
F: +44 (0) 116 252 3604
E: csadmin@mcs.le.ac.uk

Dept of Informatics
University of Leicester
Leicester, LE1 7RH
United Kingdom

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