Personal profile
Professional Information
Researcher of Imam Abdulrahman Bin Faisal University
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):
-
SDG 2 Zero Hunger
-
SDG 3 Good Health and Well-being
-
SDG 4 Quality Education
-
SDG 6 Clean Water and Sanitation
-
SDG 7 Affordable and Clean Energy
-
SDG 9 Industry, Innovation, and Infrastructure
-
SDG 11 Sustainable Cities and Communities
Fingerprint
Dive into the research topics where Nida Muhammad Aslam is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Explainable Adaboost Model for the Early Prediction Of COVID-19 Mortality
Aslam, N., Alharthi, H. M., Alwazzeh, M. J., Khan, I. U., Alshakhs, F. N., AlRajeh, L. S., Alduailej, H. H., Alansari, A., Alturaif, R. & Bashamakh, A., 2025, Proceedings of the 2025 International Conference on Computational Intelligence, Security, and Artificial Intelligence, IntelliSecAI 2025. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the 2025 International Conference on Computational Intelligence, Security, and Artificial Intelligence, IntelliSecAI 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
Explainable machine learning for predicting hospital employees' quality of life using psychosocial work environment data
Alumran, A., Alshahrani, B., Aslam, N., Khan, I. U., AlShedayed, R., AlFrayan, D., AlEssa, R., Mirza, S. & Alshakhs, F., 2025, In: Frontiers in Public Health. 13, 1529802.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep Learning-Based Surface Defect Detection in Steel Products Using Convolutional Neural Networks
Khan, I. U., Aslam, N., Aboulnour, M., Bashamakh, A., Alghool, F., Alsuwayan, N., Alturaif, R., Gull, H., Iqbal, S. Z. & Hussain, T., Nov 2024, In: Mathematical Modelling of Engineering Problems. 11, 11, p. 3006-3014 9 p.Research output: Contribution to journal › Article › peer-review
Open Access9 Link opens in a new tab Scopus citations -
Protecting IoT devices from security attacks using effective decision-making strategy of appropriate features
Ullah, I., Noor, A., Nazir, S., Ali, F., Ghadi, Y. Y. & Aslam, N., Mar 2024, In: Journal of Supercomputing. 80, 5, p. 5870-5899 30 p.Research output: Contribution to journal › Article › peer-review
38 Link opens in a new tab Scopus citations -
Securing the Road: Advancing Cybersecurity in Internet of Vehicles with Deep Learning
Aslam, N., Shah, R. A., Nawaz, S. A. & Malik, M. H., 1 Apr 2024, In: Journal of Computing and Biomedical Informatics. 2024, Special Issue (SICAIET)Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations
Press/Media
-
New Big Data and Cognitive Computing Study Findings Have Been Reported from Imam Abdulrahman Bin Faisal University (Deep Learning-Based Computer-Aided Classification of Amniotic Fluid Using Ultrasound Images from Saudi Arabia)
Alqahtani, N., Muhammad Aslam, N. & Rab Khan, I.
10/01/23
1 item of Media coverage
Press/Media