Dr. Rashid Ayub | AI in Healthcare | Best Researcher Award
Dr. Rashid Ayub at King Saud University, Saudi Arabia
👨🎓 Profiles
Summary
Dr. Rashid Ayub is an accomplished researcher and educator in the field of Computer Science, specializing in Artificial Intelligence and its applications in healthcare. With over 20 years of experience in academia and industry, he has made significant contributions to his field through teaching, research, and publication.
🧑🎓 Education
Dr. Rashid Ayub holds a Ph.D. in Computer Science and Engineering (Artificial Intelligence) from Sunrise University, Alwar, India (2023), with a thesis focused on “Extension of Bounded Rationality in AI to Sensing Activity through Limited Resource Sensing Problem.” He also earned his MCA from Birla Institute of Technology, Mesra (1996), an M.Sc. in Mathematics from Magadh University (1993), and a B.Sc. in Physics, Chemistry, and Mathematics from the same university (1991).
👨🏫 Professional Experience
Dr. Ayub has over 20 years of experience in both academia and industry. He currently serves as an Assistant Professor/Researcher at the Department of Science, Technology & Innovation at King Saud University, Riyadh, Saudi Arabia, since 2009. Prior to this, he worked as an MIS Coordinator for the Project Management Unit under the Ministry of Environment & Forests in India (2001-2009), where he developed significant documents for information management and served as a trainer in a UN program.
🔬 Research Interests
His research interests encompass a wide range of topics, including Artificial Intelligence, Deep Learning, Neural Networks & Fuzzy Logic, Machine Learning, Big Data Analytics, Internet of Things (IoT), eHealthcare/Bioinformatics, and e-Learning/Smart Cities. Dr. Ayub is dedicated to advancing these fields and has a strong publication record in international journals and conferences.
📖Top Noted Publications
Applications of Pruning Methods in Natural Language Processing
- Authors: Touheed, Marva; Zubair, Urooj; Sabir, Dilshad; Hassan, Ali; Butt, Muhammad Fasih Uddin; Riaz, Farhan; Abdul, Wadood; Ayub, Rashid
Journal: IEEE Access
Year: 2024
EEGDepressionNet: A Novel Self Attention-Based Gated DenseNet With Hybrid Heuristic Adopted Mental Depression Detection Model Using EEG Signals
- Authors: Mustufa Haider Abidi; Khaja Moiduddin; Rashid Ayub; Muneer Khan Mohammed; Achyut Shankar; Stavros Shiaeles
Journal: IEEE Journal of Biomedical and Health Informatics
Year: 2024
Identification of bioactive compounds of Zanthoxylum armatum as potential inhibitor of pyruvate kinase M2 (PKM2): Computational and virtual screening approaches
- Authors: Afzal, Mohd; Qais, Faizan Abul; Abduh, Naaser A. Y.; Christy, Maria; Ayub, Rashid; Alarifi, Abdullah
Journal: Heliyon
Year: 2024
Machine learning approaches in designing anti-HIV nitroimidazoles: 2D/3D QSAR, kNN-MFA, docking, dynamics, PCA analysis and MMGBSA studies
- Authors: Momin Ziyaul-Haque; Rashid Ayub; Mohd Usman Mohd Siddique; Amit Gangwal; Azim Ansari; Mudassar Shahid; Yogeeta O. Agrawal; Tasneem Khan
Journal: Arabian Journal of Chemistry
Year: 2024
ICBDML 2024 TOC
- Authors: (Information not provided in the initial request)
Journal: IEEE International Conference on Big Data & Machine Learning (ICBDML)
Year: 2024