Md. Khayrul Bashar
Received a Bachelor of Science in Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology (BUET) and a Master of Technology in Communication Engineering from the Indian Institute of Technology (IIT), Bombay. Received his PhD from the Department of Information Engineering, Nagoya University, Japan. Worked as a Researcher and Assistant Professor in the Graduate School of Engineering, Nagoya University, as well as in the Institute of Industrial Science, University of Tokyo, and as an Associate Professor at the Leading Graduate School Promotion Center / Department of Information Sciences, Ochanomizu University, Japan.
Md. Khayrul Bashar, “Improved Classification of Malaria Parasite Stages with Support Vector Machine Using Combined Color and Texture Features,” to appear in Proc. IEEE EMB Special Topic Conference on Healthcare Innovations and Point-of-Care Technologies. (MD, USA), November 2019, 6 pages. [Online]. doi: 10.1109/HI-POCT45284.2019.8962686.
Md. Khayrul Bashar, “Automated Classification of Malaria Parasite Stages Using Convolutional Neural Network,” to appear in Proc. the 3rd International Conference on Vision, Image, and Signal Processing. (Vancouver, Canada)) August 2019, 6 pages.
Md. Khayrul Bashar, Samarendra Dandapat, and Itsuo Kumazawa, “Heart Abnormality Classification Using Phono-Cardiogram (PCG) Signal,” in Proc. IEEE Intern. Conf. on Biomed. Engineering and Sciences. (Sarawak, Malaysia), Dec. 2018, 5 pages. [Online]. doi: 10.1109/IECBES.2018.8626627.
Md. Khayrul Bashar, “ECG and EEG Based Multimodal Biometrics for Human Identification,” in Proc. IEEE International Conference on Systems, Man, and Cybernetics. (Miyazaki, Japan), Oct. 2018, pp. 4335–4340.
Md. Khayrul Bashar and Manzur Murshed, “Texture Based Vein Biometrics for Human Identification: A Comparative Study,” in Proc. IEEE COMPSAC. (Tokyo, Japan), July 2018, pp. 571–576. [Online]. doi: 10.1109/COMPSAC.2018.10297.
M. K. Bashar, K. Hashimoto, M. Gotoh, and H. Kori, “Analyzing Orientation Patterns of Human Skin Fibroblasts Using Image Gradient Information,” in Proc 39-th Annual Intern. Conf. of IEEE Eng. in Medicine and Biology Soc. (EMBC), July 2017, pp. 600–603. [Online]. doi: 10.1109/EMBC.2017.8036896.
M. K. Bashar, F. Reza, Z. Idris, and H. Yoshida, “Epileptic Seizure Classification from Intracranial EEG Signals: A Comparative Study,” in Proc IEEE EMBS Conf. on Biomed. Engineering and Science (IECBES), Dec. 2016, pp. 96-101. [Online]. doi: http://ieeexplore.ieee.org/document/7843422/.
M. K. Bashar, I. Chiaki, and H. Yoshida, “Human Identification from Brain EEG Signals Using Advanced Machine Learning Method,” in Proc IEEE EMBS Conf. on Biomed. Engineering and Science (IECBE), Dec. 2016, pp. 475–479. [Online]. doi: http://ieeexplore.ieee.org/document/7843496/.
M.K. Bashar and Hiroaki Yoshida, “Multiscale Feature Representation for ECG-based Human Identification,” J. of Information and Communication Engineering (JICE), vol. 1, no. 1, pp. 48–51, December 2015.
M.K. Bashar, Kei Hashimoto, Kanako Enoyoshi, Kimiko Yamashita, Mari Gotoh, and Hiroshi Kori, “Quantification of Interaction between Human Skin Fibroblasts and Collagen by Image Texture Analysis,” J. of Bioinformatics and Neuroscience (JBINS), vol. 1, no. 1, pp. 31–37, December 2015.
J. Kobayashi, M.K. Bashar, A. Funahashi, T. Fujimori, and K. Yamagata, “Review: Bio-image Analysis for Quantitative Biology and its Application to Mammalian Embryogenesis,” JAMIT Journal of Medical Imaging Technology, vol. 33, no. 3, pp. 84–89, May 2015.
M. K. Bashar, K. Yamagata, and T.J. Kobayashi, “Improved and Robust detection of Cell Nuclei from Four-Dimensional Fluorescence Images,” PLOS ONE, vol. 1, no. 7, July 2014.
M. K. Bashar, K. Komatsu, T. Fujimori, and T.J. Kobayashi, “Automatic Extraction of Nuclei Centroids of Mouse Embryonic Cells from Fluorescence Microscopy Images,” PLOS ONE, Public Library of Science, vol. 7, no. 5, pp. 1-18, May 2012.
M. K. Bashar, Y. Suenaga, T. Kitasaka, Y. Mekada, and K. Mori, “Automatic Detection of Informative Frames from Wireless Capsule Video Endoscopic Images,” Medical Image Analysis, Elsevier Science, vol.14, no. 3, pp. 449-470, June 2010.
M. K. Bashar, K. Noda, N. Ohnishi, “Exploring Duplicated Regions in Natural Images,” IEEE Trans. Image Processing, March 25, 2010. [Online]. doi: 10.1109/TIP. 2010. 2046599.