Md Rishad Ahmed

Md Rishad Ahmed
Lecturer (on study leave)
Department of Electrical & Electronic Engineering
First Capital University of Bangladesh.
Ph.D. Research Fellow
Department of Software and IT Engineering
École de Technologie Supérieure (ETS), Montreal, Canada.
Researcher, CHU Sainte-Justine Research Centre, Montréal (QC).
Email:
md-rishad.ahmed.1@ens.etsmtl.ca
Identification Network-
Linked
ResearchGate
Google Scholar
Career History
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Lecturer, Department of Electrical and Electronic Engineering at the First Capital University of Bangladesh, Chuadanga from February 2016 to Present (On Study Leave).
Educational Qualifications
Year |
Degree |
Major |
Institute |
2021-2024 |
Ph.D. |
Engineering |
École de Technologie Supérieure (ETS), Montreal (QC), Canada. |
2021-2024 |
Researcher |
Neonatal Brain Maturation Assessment |
CHU Sainte-Justine Research Centre, Montréal (QC), Canada. |
2017-2020 |
M.S. |
Computer Science and Technology |
University of Jinan, China. |
2014-2015 |
M.Sc. |
Applied Physics and Electronic Engineering |
University of Rajshahi, Bangladesh. |
2010-2013 |
B.Sc. |
Applied Physics and Electronic Engineering |
University of Rajshahi, Bangladesh. |
Research Interests
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Machine/Deep Learning Algorithms Design.
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3D/4D fMRI/MRI Brain Image
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Neonatal Brain Image Segmentation.
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Disease Prediction, Subtyping, Progression, and Segmentation.
Awards and Leadership
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Chinese Government Scholarship for Master’s study (2017 to 2020).
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Received National Science and Technology (NST) fellowship 2015-2016, for M.Sc. Thesis under the Ministry of Science and Technology,
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Received ICT scholarship under Bangladesh Hi -Tech Park Authority, ICT Ministry of Bangladesh in
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Served as country representative of Bangladesh Student Association of the University of
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Executive Member, Bangladesh-China Youth Student Association (BCYSA).
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Served as event organizer, volunteer, and trainer to arrange various seminar and workshop of ECAPEE (Electronic Club of Applied Physics and electronic Engineering), University of Rajshahi.
Selected Publications
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- M. R. Ahmed, Y. Zhang, Y. Liu and H. Liao, “Single Volume Image Generator and Deep Learning-Based ASD Classification,” in IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 11, pp. 3044-3054, 2020. Paper Link
- M. R. Ahmed, Y. Zhang, Z. Feng, B. Lo, O. T. Inan and H. Liao, “Neuroimaging and Machine Learning for Dementia Diagnosis: Recent Advancements and Future Prospects,” in IEEE Reviews in Biomedical Engineering, vol. 12, pp. 19-33, 2019. Paper Link
- M. R. Ahmed, M. S. Ahammed, S. Niu and Y. Zhang, “Deep Learning Approached Features for ASD Classification using SVM,” in 2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS), Dalian, China, pp. 287-290, 2020. Paper Link
- M. M. Rahman, M. R. Ahmed, L. Laishram, S. H. Kim, and S. K. Jung, “Siamese High-Level Feature Refine Network for Visual Object Tracking”, in Electronics, 9(11), 1918, 2020. Paper Link
- M. S. Ahammed, S. Niu, M. R. Ahmed, J. Dong, X. Gao, and H. Zhao, “Bag-of-Features Model for ASD fMRI Classification using SVM”, Accepted in 2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS), Shenyang, China.
- M. Mubashir, M. R. Ahmed, M. Ahmad, S. A. Siddiqui, and M. Ahmad, “A Novel Deep Learning Approach for Lung Cancer Recognition Based on 1-D Deep Convolutional Neural Network”, in Proceedings of the 2019 4th International Conference on Mathematics and Artificial Intelligence(ICMAI 2019), ACM, New York, NY, USA, pp. 32-38, 2019. Paper Link
- M. M. Rahman, M. S. Ahammed, M. R. Ahmed, M. N. Izhar, “A Semi Blind Watermarking Technique for Copyright Protection of Image Based on DCT and SVD Domain”, Global Journal of Researches in Engineering GJRE-F, 16(7), 2017. Paper Link