Dr. G M Atiqur Rahaman
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.
Thesis: Iso-surface Construction Technique of Volumetric Data for Medical Imaging
Obtained CGPA: 3.81/4.0 (Distinction, 2nd position in merit list)
Obtained marks: 85.3%
Current Research Project/Collaboration
|No Research Project Available|
Name of the Institution
|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 AB, Sweden (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)