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Dr. Rashid Ayub

Assistant Professor

Researcher

College of Computer and Information Sciences
Science, Technology & Innovation, King Saud University, P. O. Box-2454, Riyadh-11451 , Saudi Arabia

announcement

announcement
21
Oct 2024

Abstract Diagnosing Autism Spectrum Disorder (ASD) presents a multifaceted challenge,…

introduction/brief CV

Rashid Ayub, Ph.D (C.Sc.), MCA (C.Sc.), received his Ph.D degree in Computer Science & Engineering after achieving his Master Degree in Computer Science in 1996 from Birla Institute of Technology (BITS), Mesra, India. The Topic of his Ph.d Thesis :“Extension of Bounded Rationality in Artificial Intelligence to Sensing Activity through Limited Resource Sensing Problem”. He is currently working as a Researcher at  Science, Technology & Innovation Unit under National Plan for Science & Technology (NPST), King Saud University, Riyadh, Saudi Arabia. He has more than two decades of working experience both in Industry and Academia in India and Abroad. He also served as a Trainer by United Nations Training Program on “Integrated Management Information System (iMIS) based on ERP” in United Nations (UNEP) office at Bangkok, Thailand. He has also served as MIS Officer/Coordinator in the Ministry of Environment & Forest, New Delhi, India and developed “MIS Vision Document for Compliance Era of 2004-07” covering aspects such as E-based mechanism for dissemination of Information, Knowledge Management and Technology Transfer. Also involved in “Development of centralized MIS System for cohesive data compilation of ODS-III and ODS-IV”. He has published several research articles in International ISI journals (Q1, Q2) of repute and refereed conferences. His research interests are related to 1) Internet of Things (IoT), 2) Deep Learning, 3) Artificial Intelligence, 4) Machine Learning, 5) Cloud Computing, 6) Neural Network (ANN/CNN) & Fuzzy Logic and their applications in the areas of e-Healthcare, Smart City and Bio-Informatics.

areas of expertise

1) Artificial Intelligence,

2) Deep Learning,

3) Internet of Things (IoT),

4) Machine Learning,

5) Cloud Computing,

6) Neural Network (ANN/CNN) & Fuzzy Logic,

7) e-Healthcare, Smart City and Bio-Informatics.

publications
see all

publications
by Rashid Ayub, Mohammad Afzal, Syed Immamul Ansarullah
2025
Published in:
Journal of Disability Research
publications
by Rashid Ayub, Prasadu Peddi, Sara Khan, Annayath Maqbool, Noorzaman Khan, Haseeb A Khan
2025
Published in:
Contemporary Mathematics
publications
by Rashid Ayub, Syed Immamul Ansarullah, Faizan Samdani, Ali Akhtar, Mohd Afzal, & Shaik Moinuddin Ahmed.
2024
Published in:
Journal of King Saud University-Science

courses
see all

course

Introduction to Simulation. Concepts in Discrete-event Simulation (DES). Components of DES. Monte Carlo simulation, the life cycle of a simulation study, input and output data analysis, world…

course

The course will provide an introduction to artificial intelligence. Topics include: problem solving using search (search procedures e.g. depth-first, breadth-first, A*, etc.), constraint…

course

This course focuses on the principles of software development including the life-cycle models and different phases of the software development process: requirements analysis, specification and…