Address:

    Computer Science and Engineering Discipline, Khulna University, Khulna-9208, Bangladesh.

    Email:

    atiq@cseku.ac.bd

    Contact:

    +880-1715-712877

    Personal Webpage:
    click here

Dr. G M Atiqur Rahaman

Professor

Research Interest:

  • Color science     
  • medical image analysis       
  • spectral image processing and analysis       
  • machine learning      
  • computer vision      
  • pattern recognition      
  • mathematical modeling

Education

  • PhD in Computer Science
    2017
    School of Computing
    University of Eastern Finland
    Dissertation: Use of Reflectance Measurements to Study Turbid Media by maging
  • Licentiate of Technology (Lic.)
    2014
    Faculty of Science Technology and Media
    Mid Sweden University
    Dissertation: Image analysis approach for modeling color in printing
  • Master Erasmus Mundus in Color in informatics and Media technology (CIMET)
    2011 (joint EU Degree)

     University of Eastern Finland
     M.Sc. in Computer Science

     University of Jean-Monnet (France)

     M.Sc. in “Optics, Image and Vision"


     University of Granada, Spain

     Gjovik University College, Norway


     Specialization: Color (signal, image and vision)

     Thesis: Retinal Spectral Image Analysis for Diabetic Retinopathy

  • B.Sc. Engg. in Computer Science and Engineering
    2003
    Khulna University, Bangladesh
    Thesis: Iso surface construction technique of volumetric data for medical imaging


Awards

  • EU Marie Curie Fellowship (Early stage researcher)
  • EU Erasmus Mundus Scholarship
  • Khulna University Merit Scholarship
  • Education Board Merit Scholarships for SSC and HSC


Language Skills

Bengali   English   Spanish    French    Finnish


Countries Visited

USA   UK   Ireland   Japan   France    Spain    Finland    Germany    Norway    Sweden   Portugal Netherlands  Belgium  India

Bio

Experiences

Publication

  1. G. M. A. Rahaman, J. Parkkinen, M. Hauta-Kasari and S. H. Amirshahi, "Enhanced color visualization by spectral imaging: An application in cultural heritage," 2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Dhaka, 2017, pp. 1-6. doi: 10.1109/ICIVPR.2017.7890870​

  2. G. M. A. Rahaman, J. Parkkinen, M. Hauta-Kasari and S. H. Amirshahi, "Fiber dye classification by spectral imaging," 2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Dhaka, 2017, pp. 1-6. doi: 10.1109/ICIVPR.2017.7890872

  3. G M Atiqur Rahaman, Ole Norberg, Per Edstrom, “Experimental Analysis for Modeling Color of Halftone Images”, Lecture Notes in Computer Science (LNCS 9016, pp 69-80), Springer International Publishing Switzerland,  2015.

  4. G M Atiqur Rahaman, M A Hasnat, Rahul Mourya,” Collection, Analysis and Representation of Memory color Information”, Lecture Notes in Computer Science (LNCS 9016, pp 93-103), Springer International Publishing Switzerland,  2015

  5. G M Atiqur Rahaman, Jussi Parkkinen, Markku Hauta-Kasari, Ole Norberg,” Retinal Spectral Image Analysis Methods Using Spectral Reflectance Pattern Recognition”, Lecture Notes in Computer Science (LNCS 7786), Springer-Verlag Berlin Heidelberg, March 5, 2013

  6. G M Atiqur Rahaman, A H M Ahsan Rajon, Ashiqur Rahaman,  “Effective Approach for Automatic Detection of Vessels, Optic Disk and Macula: Retinal Spectral Image Analysis Perspective”, International journal of Applied Research in Computer Science and Information Technology, Vol. 2, May 2012

  7. G M Atiqur Rahaman, Image Analysis Approach for Modeling Color Predictions in Printing, Mid Sweden Univ. Licentiate Thesis 108, 2014, ISSN 1652-8948,  ISBN 978-91-87557-32-3.

  8. G M Atiqur Rahaman and A.F.M Nazmul Alam, “An Efficient Approach for fast Fingerprint Identification based on Minutiae Local Structure”, Southeast University Journal of Engineering and Technology (SEUJSE), Volume:2, Issue:2, December 2008. 

  9. G M Atiqur Rahaman, Ole Norberg, Per Edstrom, “Microscale halftone color image analysis: perspective of spectral color prediction modeling”, Proc. SPIE 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications, 901506 San Francisco, California, USA | 3 February 2014;

  10. G M Atiqur Rahaman, Ole Norberg, Per Edstrom, “Extension of Murray-Davies tone reproduction model by adding edge effect of halftone dots”, Proc. SPIE 9018, Measuring, Modeling, and Reproducing Material Appearance, 90180F; San Francisco, California, USA | February 02, 2014

  11. G M Atiqur Rahaman, Ole Norberg, Per Edstrom, “The Effect of Media Interactions in Predicting Spectral Reflectance by Color Prediction Models”, Proc. of 12th Congress of the International Colour Association,  pp.593-596,  Vol.2, July 2013, Newcastle upon Tyne, UK

  12. M. R. Khan, ABM M. Rahman, G M Atiqur Rahaman, and Md Abul Hasnat. "Unsupervised RGB-D image segmentation by multi-layer clustering." In 2016 IEEE 5th International Conference on Informatics, Electronics and Vision (ICIEV), pp. 719-724.  2015.

  13. Ripon, Kazi Shah Nawaz, Ashiqur Rahman, and G. M. Rahaman. "A domain-independent data cleaning algorithm for detecting similar-duplicates." Journal of Computers 5.12 (2010): 1800-1809.

  14. Chatterjee, A., Shuvankar, M., GM Atiqur Rahaman, and Abu S.M.A, "Fingerprint identification and verification system by minutiae extraction using artificial neural network", JCIT 1(1) (2010): 12-16.

  15. ​Abu Shamim Mohammad Arif, G M Atiqur Rahaman, Gautum Kumar Biswas and Syed Nurul Islam, “An Efficient System for Recognition of Human Face in Different Expressions by Some Measured Features of the Face Using Laplacian Operator”, Proc. 11th International Conference on Information and Communication Technology (ICCIT’08), IEEE Catalog Number: CFP0817D, ISBN: 978-1-4244-2136-7,  KUET, Dec. 2008,   pp: 405-410.

  16. A. F. M. Nazmul Alam, Md. Imran Ali, Rameswar Debnath, G M Atiqur Rahaman, “Efficient Fingerprint Identification and Verification System Using Minutiae Matching Technique”, Proc. of the International Conference on Electronics, Computer and Communication (ICECC’08), Univ. of Rajshahi, ISBN 984-300-002131-3, pp: 364-367.

  17. Manishankar Mondal, G M Atiqur Rahaman, Debasish Tarafder, “Real Time Face Recognition Using Minimum Measurements when at Least Two Thirds of the Face is Present in the Image”, Proc. 9th International Conference on Computer and Information Technology (ICCIT 06), Independent University of Dhaka, 2006,  pp: 247-252.