Projects per year
Personal profile
External positions
Kuwait College of Science and Technology (KCST)
… → 2024
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 14 Life Below Water -
SDG 16 Peace, Justice and Strong Institutions -
SDG 17 Partnerships for the Goals
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Collaborations and top research areas from the last five years
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Projects
- 1 Finished
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Human Healthcare Prediction with Human Activity Patterns Recognized Using Radio Waves and Machine Learning Approach
Mehbodniya, A. (PI)
1/09/20 → 23/01/22
Project: General Research › General Research 2019 Cycle 1
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Bukhari, S. N. H., Webber, J., & Mehbodniya, A. (2022). Decision tree based ensemble machine learning model for the prediction of Zika virus T-cell epitopes as potential vaccine candidates. Scientific Reports, 12(1), Article 7810. https://doi.org/10.1038/s41598-022-11731-6Open Access74 Scopus citations
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Webber, J., Mehbodniya, A., Arafa, A., & Alwakeel, A. (2022). Gesture Recognition Using Machine Learning for Light Communication Systems. In 2022 International Mobile and Embedded Technology Conference, MECON 2022 (pp. 52-56). (2022 International Mobile and Embedded Technology Conference, MECON 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MECON53876.2022.97522115 Scopus citations
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Webber, J., Mehbodniya, A., Teng, R., & Arafa, A. (2022). Human–Machine Interaction Using Probabilistic Neural Network for Light Communication Systems. Electronics (Switzerland), 11(6), Article 932. https://doi.org/10.3390/electronics11060932Open Access14 Scopus citations
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Webber, J., Mehbodniya, A., Arafa, A., & Alwakeel, A. (2022). Improved Human Activity Recognition Using Majority Combining of Reduced-Complexity Sensor Branch Classifiers. Electronics (Switzerland), 11(3), Article 392. https://doi.org/10.3390/electronics11030392Open Access14 Scopus citations
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Bukhari, S. N. H., Jain, A., Haq, E., Mehbodniya, A., & Webber, J. (2022). Machine Learning Techniques for the Prediction of B-Cell and T-Cell Epitopes as Potential Vaccine Targets with a Specific Focus on SARS-CoV-2 Pathogen: A Review. Pathogens, 11(2), Article 146. https://doi.org/10.3390/pathogens11020146Open Access69 Scopus citations