Address:

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

    Email:

    gmatiq@cse.ku.ac.bd

    Contact:

    01715712877

    Personal Webpage:
    click here

Dr. G M Atiqur Rahaman
Professor

I am a computer scientist and engineer, currently employed as a Professor in Computer Science and Engineering Discipline of renowned Khulna University of Bangladesh. I have institutional training and expertise in Spectral Imaging and machine-learning-based image analysis. I achieved Ph.D. degree in Computer Science from the School of Computing at the University of Eastern Finland (UEF) attaching to the Computational Spectral Imaging Research Group. The research focus was on developing machine learning approach to analyze multispectral images of various turbid media. The application area was in cultural heritage and spectral printing industry. I completed EU Erasmus Mundus double Master degree (CIMET) jointly awarded by the University of Granada Spain, University Jean-Monnet France, Norwegian University of Science and Technology (NTNU), and UEF. The main fields of study were Spectral Imaging, Signal, and Vision. In my M.Sc. thesis I proposed novel techniques to analyze multispectral retinal images to detect and classify various diabetic retinopathies. I have also completed a Licentiate of Technology degree in Engineering Physics from Mid Sweden University with EU Marie Curie Fellowship under the project CP7.0 led by NTNU. During this study, I developed innovative methods to analyze halftone microscale images and proposed an extension of a classical color reproduction model useful for Printing and Graphics Arts Industry. Among 04 years study of B.Sc. Engineering in Computer Science and Engineering discipline, I worked one year for a bachelor thesis in MRI medical image analysis. An algorithm was proposed to render voxel-based surface aiming at reconstructing the scanned brain image.

My overall research area and interests are on developing machine learning based computational techniques for various applications in the intersection fields of spectral imaging, color science, computer vision, pattern recognition and modeling. My current research focus is on the development of Machine Learning/Neural Network/Deep Learning based methods for image analysis in different applications. Particularly I am addressing multiple research issues in the automatic diagnosis of various pathologies from color images of the fundus and diabetic foot ulcers. Throughout my academic and research career, I am working with high-quality international researchers both in academia and industries around the world. Over the last 17 years, not only I have been involved in pursuing post-graduate studies in Europe but also involved in teaching, research and supervising students of Computer Science at university level. So far I have supervised as the main supervisor or evaluated as an expert member a number of thesis and projects in computer science at undergraduate and graduate levels. Currently, I am supervising Ph.D., M.Sc. and B.Sc. thesis students working on machine learning/deep learning based method development to analyze l images of different imaging modalities in different applications.

I have scientific publications and documented knowledge in multispectral imaging and analysis. I have also notable experience in teaching at the university level that might be an extra qualification for the postdoctoral position in Örebro University. Solid and relevant multi-disciplinary educations, training, skills, and work experiences in high-quality international research and academic environments have made me a strong candidate for the position that focuses on analysis of multispectral satellite images. I am hardworking and able to conduct research individually as well as in a team, keeping integrity to research excellence with strong work ethics, and respecting the opinions of other team members. My aim is to contribute through developing innovative ideas, identifying existing problems, discovering fruitful solutions with the aid of spectral imaging and machine learning techniques. 

PhD in Computer Science, University of Eastern Finland, Finland                                                                              2017

Dissertation: Use of Reflectance Measurements to Study Turbid Media by Imaging

Licentiate of Technology in Engineering Physics, Mid Sweden University, Sweden                                               2014

Dissertation: Image Analysis Approach for modelling Color in Printing

MSc in Computer Science, Univ. of Eastern Finland + Univ. Jean-Monnet France                                                       2012

MSc in Optics, Image and Vision, (Univ. of Granada Spain + Univ. Jean-Monnet France)                                          2011

Thesis: Retinal Spectral Image Analysis for Diabetic Retinopathy

Obtained Grade: B (80%-89%) marks

BSc Engg. in Computer Science and Engg., Khulna University, Bangladesh                                                              2003

Thesis: Iso-surface Construction Technique of Volumetric Data for Medical Imaging

Obtained CGPA: 3.81/4.0 (Distinction, 2nd position in merit list)

Higher Secondary Certificate (HSC) Exam., Notre Dame College, Dhaka, Bangladesh                                               1998                        

Obtained marks: 89.4%

Secondary School Certificate (SSC) Exam., Khulna Zilla School, Khulna, Bangladesh                                                1996

Obtained marks: 85.3%  

         Spectral/Color Imaging

         (Medical) Image Analysis 

         Machine Learning

         Computer Vision

         Pattern Recognition

         Mathematical Modeling

Current Research Project/Collaboration

SL Title
No Research Project Available


Position
Name of the Institution
Duration
Professor
 CSE Discipline, Khulna University, Bangladesh (Full time)                                                                  
2017- to date    
Adjunct Faculty   
Northern University of Business and Technology, Bangladesh (Part time)                                   
 2018 - 2020 
Research Engineer      
 Voxvil ABSweden (Full time)                                                                                                            
 2012 - 2014 
Associate Professor       
 CSE Discipline, Khulna University, Bangladesh (Full time)                                                      
2011- 2017
Assistant Professor
CSE Discipline, Khulna University, Bangladesh (Full time)                                                        
2007- 2011
Lecturer
 CSE Discipline, Khulna University, Bangladesh (Full time)                                                                            
2006- 2007
Lecturer
CSE Faculty, Patuakhali Science and Technology University, Bangladesh(Full time)                                
2004- 2006





  

                                                                                





Publications (All are Peer Reviewed Articles)

1.      Títle: Use of Reflectance Measurements to study Turbid Media by Imaging, City: Joensuu, Finland, Editorial: Prof. Lindsay W. Macdonald and Docent Reiner Lenz., Year: 2017, Number of pages: 151, ISBN: 978-952-61-2455-1, Authors: G. M. Atiqur Rahaman (PhD Thesis)

2.       Títle: Image Analysis Approach for Modeling Color Predictions in Printing , City: Sundsvall, Sweden, Editorial: Prof. Per Edstrom, Dr. Ole Norberg and Dr. Magnus Neuman, Year: 2014, Number of pages: 51, ISBN: 978-91-87557-32-3, Authors: G. M. Atiqur Rahaman (Licentiate Thesis)

3.        Sayed M.A., Saha S., Rahaman G.M.A., Ghosh T.K., Kanagasingam Y. (2019) A Semi-supervised Approach to Segment Retinal Blood Vessels in Color Fundus Photographs. In: Artificial Intelligence in Medicine, AIME 2019. Lecture Notes in Computer Science, vol 11526, pp 347-351, Springer, Cham

DOI: 10.1007/978-3-030-21642-9_44

4.        Islam S.T., Saha S., Rahaman G.M.A., Dutta D., Kanagasingam Y. (2019) An Efficient Binary Descriptor to Describe Retinal Bifurcation Point for Image Registration. In: Pattern Recognition and Image Analysis, IbPRIA 2019. Lecture Notes in Computer Science, vol 11867. Springer, Cham

DOI: 10.1007/978-3-030-31332-6_47

5.        Ghosh T.K., Saha S., Rahaman G.M.A., Sayed M.A., Kanagasingam Y. (2019) Retinal Blood Vessel Segmentation: A Semi-supervised Approach. In: Pattern Recognition and Image Analysis, IbPRIA 2019. Lecture Notes in Computer Science, vol 11868. Springer, Cham.

DOI: 10.1007/978-3-030-31321-0_9

6.        Rahaman G.M.A., Hasnat M.A., Mourya R. (2015) Collection, Analysis and Representation of Memory Color Information. In: Computational Color Imaging. CCIW 2015. Lecture Notes in Computer Science, vol 9016, pp. 93–103, Springer, Switzerland.

 DOI: 10.1007/978-3-319-15979-9_9

7.        Rahaman G.M.A., Norberg O., Edström P. (2015) Experimental Analysis for Modeling Color of Halftone Images. In: Computational Color Imaging. CCIW 2015. Lecture Notes in Computer Science, vol 9016, pp. 69–80, Springer, Switzerland.

DOI: 10.1007/978-3-319-15979-9_7

8.        Rahaman G.M.A., Parkkinen J., Hauta-Kasari M., Norberg O. (2013) Retinal Spectral Image Analysis Methods Using Spectral Reflectance Pattern Recognition. In: Computational Color Imaging. CCIW 2013. Lecture Notes in Computer Science, vol 7786, pp. 224–238, Springer, Berlin, Heidelberg.

DOI: 10.1007/978-3-642-36700-7_18

  1. Md. M. Rahman, G M Atiqur Rahaman, A.  Hasnat (2021).  SMIFD-1000: Social Media Image Forgery Detection Database and it’s Benchmarking using Splicing Localization Algorithm.  J. of Electronic Security and Digital Forensics (Under Review)
  2. S. Saha, G.M. Atiqur Rahaman, T. Islam, M. Akter, Shaun Frost, Y. Kanagasingam (2021). Retinal image registration using log-polar transform and robust description of bifurcation points. Biomedical Signal Processing and Control (Elsevier) 66, 102424 (IF 3.14)

https://doi.org/10.1016/j.bspc.2021.102424.

11.     G. M. Atiqur Rahaman, Jussi Parkkinen, Markku Hauta-Kasari (2020). A Novel Approach to Using Spectral Imaging to Classify Dyes in Colored FibersSensors 20(16):4379. (IF 3.42) https://doi.org/10.3390/s20164379

12.     Md. A. Sayed, S. Saha, G. M. Atiqur Rahaman, T. K. Ghosh, Y. Kanagasingam (2020).   An innovate approach for retinal blood vessel segmentation using mixture of supervised and unsupervised methods. IET Image Process. (Wiley) 15(1): 180– 190. (IF 1.94)

https://doi.org/10.1049/ipr2.12018

13.     G.M. Atiqur Rahaman, S.M. Riasat Ali & S. Paul S. (2020). Diabetic Retinopathy Lesion Detection from Multispectral Retinal Images. Khulna University Studies Vol. 17(1&2)  

https://ku.ac.bd/uploads/kustudies/Volume%2017/N1%20&%20N2/41-55.pdf

14.     S. Saha, G. M. Atiqur Rahaman, T.  Islam, Shaun Frost, Y. Kanagasingam (2020). Retinal image registration relying on robust binary description of bifurcation point. Medical & Biological Engineering & Computing (Springer Nature) (Under Processing, Submission ID: MBEC-D-20-00909) (IF 2.0)

15.     Rahaman G.M.A, Rajon A H M, Rahman A. (2012), 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 (IJAR-CSIT), Vol. 2

16.     Rahaman G.M.A., Hossain M. M., Arif M. A., Chowdhury E. & Debnath S. (2010). Mining structured objects (data records) based on maximum region detection by text content comparison from website. International Journal of Electrical and Computer Sciences (IJECS-IJENS), 10(2), 22-28. (IF: 1.428)

17.     Chatterjee A., Shuvankar M., Rahaman G.M.A., and Abu S.M.A. (2010), Fingerprint identification and verification system by minutiae extraction using artificial neural network. The International Journal of Computer and Information Technology JCIT 1(1) pp. 12-16 (Citations# 30)

18.     K.S.N Ripon., A. Rahman and G.M.A. Rahaman (2010) A domain-independent data cleaning algorithm for detecting similar-duplicates. Journal of Computers 5(12) pp. 1800-1809 (Citations# 12)

DOI: 10.4304/jcp.5.12.1800-1809

19.     Rahaman G.M.A. and Alam A.F.M.(2008). An Efficient Approach for fast Fingerprint Identification based on Minutiae Local Structure. Southeast University Journal of Engineering and Technology SEUJSE 2(2) (print version only)

20.     Md. S. Jamil, S.P. Banik, G M Atiqur Rahaman, S. Saha (2021). Advanced GradCAM++: Improved Visual Explanations of CNN’s decision in Diabetic Retinopathy. International Conference on Big Data, IoT and Machine Learning (BIM 2021) Under Review)

https://confbim.com/

21.     K. M. Hasan, A. Nahid, Md. A. Alim, Md. Maniruzzaman, G M Atiqur Rahaman, S.H.S. Newaz, Md. S. Ahsan (2020, June). Design and Development of an Aircraft Type Multi-functional Autonomous Drone. In: Proc. of 2020 IEEE Region 10 Symposium (TENSYMP), Dhaka, 5-7 June pp. 734-737. IEEE, 2020

DOI: 10.1109/TENSYMP50017.2020.9230929

22.     Md. Mehedi Rahman, , Jannatul Tajrin,  Abul Hasnat,  Naushad UzZaman, and G. M. Atiqur Rahaman (2019, December). SMIFD: Novel Social Media Image Forgery Detection Database. Proc. of IEEE 22nd International Conference on Computer and Information Technology (ICCIT), 18-20 December, 2019

DOI: 10.1109/iccit48885.2019.9038557

23.     Rahaman G.M.A., Parkkinen J., Hauta-Kasari M., & Amirshahi S. H. (2017, February). Enhanced color visualization by spectral imaging: an application in cultural heritage. In 2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR) (pp. 1-6). IEEE.

DOI: 10.1109/ICIVPR.2017.7890870

24.     Rahaman G.M.A., Parkkinen J., Hauta-Kasari  M., & Amirshahi S. H. (2017, February). Fiber dye classification by spectral imaging. In 2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR) (pp. 1-6). IEEE.

DOI: 10.1109/icivpr.2017.7890872

25.     Khan M. R., Rahman A. M., Rahaman G. M. A., & Hasnat M. A. (2016, May). Unsupervised RGB-D image segmentation by multi-layer clustering. In 2016 IEEE 5th International Conference on Informatics, Electronics and Vision (ICIEV) (pp. 719-724).IEEE

DOI: 10.1109/iciev.2016.7760095

26.     Rahaman G.M.A., Norberg O., & Edström P. (2014, February). Extension of Murray-Davies tone reproduction model by adding edge effect of halftone dots. In: Proc. SPIE 9018, Measuring, Modeling, and Reproducing Material Appearance, 90180F; International Society for Optics and Photonics

DOI: 10.1117/12.2037754

27.     Rahaman G.M.A., Norberg O., & Edström P. (2014, February). Microscale halftone color image analysis: perspective of spectral color prediction modeling. In Proc. SPIE Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications (Vol. 9015, p. 901506). International Society for Optics and Photonics. DOI: 10.1117/12.2037256

28.     Rahaman G. M.A., Norberg O., & Edström P. (2013, July). The Effect of Media Interactions in Predicting Spectral Reflectance by Color Prediction Models. In: Proc. of 12th Congress of the International Colour Association Newcastle upon Tyne, UK,  Vol.2, pp.593-596 

29.     Arif A.S.M., Rahaman G.M.A., Biswas G. K., & Islam, S. N. (2008, December). An efficient system for recognition of human face in different expressions by some measured features of the face using laplacian operator. In IEEE Proc. 11th International Conference on Information and Communication Technology (ICCIT’08),   pp. 405-410.  DOI: 10.1109/iccitechn.2008.4802977

30.     Alam A.F.M. , Ali I.A., Debnath R., Rahaman, G.M.A. (2008) Efficient Fingerprint Identification and Verification System Using Minutiae Matching Technique. In Proc. of the International Conference on Electronics, Computer and Communication (ICECC’08), pp.: 364-367.

31.     Mondal M,, Rahaman G.M.A., Tarafder D.(2008). Real Time Face Recognition Using Minimum Measurements when at Least Two Thirds of the Face is Present in the Image. In: Proc. 9th International Conference on Computer and Information Technology (ICCIT 06), pp: 247-252.