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Dr. Mohammad Moinul Islam

Dr. Mohammad Moinul Islam
Associate Professor

School of Science, Engineering and Technology
Email: moinul@eastdelta.edu.bd

Available from:
Sunday to Thursday: 10.00 am to 5.00 pm
Academic Qualifications:

Ph.D,Old Dominion University, USA, (2012)
M.Sc,University of South Alabama, USA, (2007)
B.Sc,Bangladesh University of Engineering and Technology, Bangladesh, (2002)
Research Interest:

  • Image superresolution
  • Automatic target recognition
  • Face detection and recognition
  • Image segmentation
  • Medical image analysis

Selected Publications:
1. Title: “Marginality preserving embedding for robust face recognition,”
Mohammad Moinul Islam, Mohammed Nazrul Islam, Vijayan K. Asari, and Mohammad A. Karim, “Marginality preserving embedding for robust face recognition,” International Journal of Information Processing (IJIP), vol.7, no1, pp. 39-43, 2013.

2. Title: “A new manifold learning technique for face recognition,”
Mohammad Moinul Islam, Mohammed Nazrul Islam, Vijayan K. Asari, and Mohammad A. Karim, “A new manifold learning technique for face recognition,” Sixth International Conference on Information Processing, ICIP 2012.

3. Title: “Single image super-resolution in frequency domain,”
Mohammad Moinul Islam, Vijayan K. Asari, Mohammed Nazrul Islam, and Mohammad A. Karim, “Single image super-resolution in frequency domain,” IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012.

4. Title: “Super-resolution enhancement technique for low resolution video,”
Mohammad Moinul Islam, , Vijayan K. Asari, Mohammed Nazrul Islam, and Mohammad A. Karim, “Super-resolution enhancement technique for low resolution video,” IEEE Transactions on Consumer Electronics, vol. 56, pp. 919-924, 2010.
5. Title: “Video super-resolution by adaptive kernel regression,”

Mohammad Moinul Islam, , Vijayan K. Asari, Mohammed Nazrul Islam, and Mohammad A. Karim, “Video super-resolution by adaptive kernel regression,” Lecture Notes in Computer Science, Published by Springer-Verlag Berlin/Heidelberg ISSN: 0302-9743 (Print), Advances in Visual Computing, Edited by G. Bebis et al. Proceedings of the International Symposium on Visual Computing – ISVC – 2009: ISBN: 978-3-642-10519-7, vol. 5876/2009, pp. 799-806, November 2009.