Md Rishad Ahmed

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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).

Career History

  • 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








École de Technologie Supérieure

(ETS), Montreal (QC), Canada.



Neonatal Brain Maturation


CHU Sainte-Justine Research

Centre, Montréal (QC), Canada.



Computer Science and


University of Jinan, China.



Applied Physics and

Electronic Engineering

University of Rajshahi, Bangladesh.



Applied Physics and

Electronic Engineering

University of Rajshahi, Bangladesh.

Research Interests

  • Machine/Deep Learning Algorithms Design.

  • 3D/4D fMRI/MRI Brain Image

  • Neonatal Brain Image Segmentation.

  • Disease Prediction, Subtyping, Progression, and Segmentation.

Awards and Leadership

  • Chinese Government Scholarship for Master’s study (2017 to 2020).

  • Received National Science and Technology (NST) fellowship 2015-2016, for M.Sc. Thesis under the Ministry of Science and Technology,

  • Received ICT scholarship under Bangladesh Hi -Tech Park Authority, ICT Ministry of Bangladesh in

  • Served as country representative of Bangladesh Student Association of the University of

  • Executive Member, Bangladesh-China Youth Student Association (BCYSA).

  • 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

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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.
  6. 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
  7. 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