Innovative Research Award
Muhammad Jawaid
De Montfort University Leicester,United Kingdom
Muhammad Jawaid, De Montfort University Leicester, United Kingdom, is a computer science researcher whose scholarly work encompasses medical imaging, machine learning, intelligent systems, and applied computational methods. His research record includes contributions to multimodal neuroimaging classification, coronary imaging analysis, and smart agriculture applications.
Abstract
Muhammad Jawaid’s research profile reflects an interdisciplinary application of computational intelligence to complex scientific and biomedical problems. His documented publications include work on multimodal neuroimaging classification for autism spectrum disorder, non-calcified coronary plaque quantification, and smart agriculture systems. A 2026 Journal of Imaging article applies contrastive and transfer learning to aligned structural and functional neuroimaging data, demonstrating the relevance of machine learning to medical-image analysis.[1]
Keywords
Computer Science; Machine Learning; Medical Imaging; Neuroimaging; Artificial Intelligence; Image Classification; Coronary Imaging; Smart Agriculture; Transfer Learning; Research Innovation.
Introduction
The researcher is associated with computational research addressing practical challenges where data analysis and intelligent algorithms can support scientific interpretation. Recent work demonstrates applications ranging from neuroimaging classification to voxel-level analysis of coronary computed tomography data.[1][2] Earlier research also explored Internet-of-Things technologies and recurrent neural-network forecasting for agricultural monitoring.[3]
Research Profile
The supplied bibliometric profile records 25 documents, 214 citations, and an h-index of 6 in Scopus. These indicators provide a quantitative view of publication and citation activity, while individual publications provide additional evidence of the breadth and application-oriented character of the research.
Research Contributions
- Multimodal neuroimaging classification using contrastive and transfer-learning strategies.[1]
- Voxel-based computational analysis for non-calcified coronary plaque quantification in CT images.[2]
- Application of IoT and neural-network forecasting techniques to smart agriculture.[3]
Publications
Recent publications include Contrastive and Transfer Learning for Aligned Multimodal Neuroimaging Classification of Autism Spectrum Disorder in Journal of Imaging (2026), and Non-calcified coronary plaque quantification in CT images using voxel-based descriptive features in Forensic Imaging (2026).[1][2] His earlier publication, Internet of Plants Application for Smart Agriculture, appeared in 2018.[3]
Research Impact
The reported citation profile indicates established scholarly visibility, while the publication topics show application across medical imaging and intelligent computational systems. The 2026 neuroimaging study reports multimodal classification experiments using an aligned feature-learning framework, while the coronary-imaging study investigates computational quantification of non-calcified plaque in CT data.[1][2]
Award Suitability
The documented combination of publication activity, citation indicators, and research spanning machine learning, medical imaging, and intelligent systems provides a substantive basis for consideration for an Innovative Research Award. The profile is particularly relevant to recognition frameworks that evaluate research originality, interdisciplinary application, documented scholarly output, and potential contribution to advancing computational approaches.
Conclusion
Muhammad Jawaid presents a computer science research profile characterized by applied machine learning, medical-image analysis, and intelligent computational applications. His reported bibliometric indicators and publication record support recognition of sustained scholarly activity and interdisciplinary research development.
External Links
References
- Vavekanand, R., Kumar, G., Jawaid, M. M., Memon, S. Q., & Kumar, T. (2026). Contrastive and Transfer Learning for Aligned Multimodal Neuroimaging Classification of Autism Spectrum Disorder. Journal of Imaging, 12(7), 328.
https://doi.org/10.3390/jimaging12070328
- Memon, S. Q., Brown, J. M., & Jawaid, M. M. (2026). Non-calcified coronary plaque quantification in CT images using voxel-based descriptive features. Forensic Imaging, 44, 200664.
https://doi.org/10.1016/j.fri.2025.200664
- Aliev, K., Moazzam, M. M., Narejo, S., Pasero, E., & Pulatov, A. (2018). Internet of Plants Application for Smart Agriculture. International Journal of Advanced Computer Science and Applications, 9(4), 421–429.
https://doi.org/10.14569/IJACSA.2018.090458
- Elsevier. (n.d.). Scopus author details: Muhammad Moazzam Jawaid, Author ID 57188570160. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57188570160
- De Montfort University. (n.d.). School of Computer Science and Informatics. De Montfort University.