Assistant Professor
Dr. May Suliman Hamad Altulyan
هندسة الحاسب الالي Computer Engineering & Sciences - Software Engineering20Published research
Overview
Dr. May Suliman Hamad Altulyan Faculty member in the field of هندسة الحاسب الالي College Computer Engineering & Sciences At Prince Sattam bin Abdulaziz University, he contributes to supporting the educational and learning process by offering academic courses, participating in educational activities and programs, and supporting the development of students' skills and enhancing their knowledge in the field. هندسة الحاسب الالي
Leadership positions
2024 — 2028
وكيلة الكلية لشؤون الطالبات - كلية هندسة وعلوم الحاسب
Prince Sattam bin Abdulaziz University
2023 — 2024
رئيس قسم هندسة البرمجيات - كلية هندسة وعلوم الحاسب بالخرج
Prince Sattam bin Abdulaziz University
Academic qualifications
PhD in Computer Engineering
computer engineering - computer engineering
University Of South Wales — Australia
2022
Master of Computer Engineering
computer engineering - computer engineering
King Saud University — Saudi Arabia
2013
Bachelor of Computer Science
Computers Sciences - Programming and Computer Science
Princess Nourah Bint Abdulrahman University — Saudi Arabia
2007
Academic progression
Assistant Professor
هندسة الحاسب - كلية هندسة وعلوم الحاسب بالخرج
2023
Lecturer
هندسة الحاسب - كلية هندسة وعلوم الحاسب بالخرج
2014
المهام والمسؤوليات الإدارية
وكيلة الكلية لشؤون الطالبات - كلية هندسة وعلوم الحاسب
Prince Sattam bin Abdulaziz University
2024 — 2028
رئيس قسم هندسة البرمجيات - كلية هندسة وعلوم الحاسب بالخرج
Prince Sattam bin Abdulaziz University
2023 — 2024
Research interests
Recommender system for the IoT, Blockchain, Image processing
Published research
View all research (20)2026
Agentic intelligence-driven visual analytics with human-in-the-loop for zero-day attack detection towards a secure future economy
International Journal of Data and Network Science
Brain connectivity analysis for measuring the physical lifting capacity of labors
CAIRO UNIV, FAC COMPUTERS & INFORMATION
A Comprehensive Study on the Evolution of Different Motivations and Architectures of YOLO
IEEE Access
Navigating threats in federated recommender systems: a survey of attack models and defense strategies
Artificial Intelligence Review (Springer Nature)
Trustworthy Personalized Federated Recommender System with Blockchain-Assisted Decentralized RewardManagement
Computer&Materials and Continua
2024
Novel framework for dyslexia diagnosis in children in Al Kharj region with super-resolution generative adversarial network and transfer learning technique
Sciendo
Intelligent Gesture-Enhanced Blockchain Voting: A New Era of Secure and Accessible E-Voting
IEEE Access
2025
Multiscale and Kolmogorov entropies as effective features for malware detection
Journal of Computer Virology and Hacking Techniques
Multiscale and Kolmogorov entropies as effective features for malware detection
SPRINGER FRANCE
An intelligent Q-learning-based tree routing method in underwater acoustic sensor networks
Engineering Applications of Artificial Intelligence
A Novel Tactile Learning Assistive Tool for the Visually and Hearing Impaired with 3D-CNN and Bidirectional LSTM Leveraging Morse Code Technology
Bioengineering
Computational intelligence-based routing schemes in flying ad-hoc networks (FANETs): A review
Vehicular Communications
A Q-learning-based hierarchical routing protocol in underwater acoustic sensor networks
PERGAMON-ELSEVIER SCIENCE LTD
A novel cylindrical filtering-based greedy perimeter stateless routing scheme in flying ad hoc networks
Vehicular Communications
2023
Artificial Intelligence Model for Alzheimer's Disease Detection with Convolution Neural Network for Magnetic Resonance Images
IOS PRESS
ACCIDENT ATTENTION SYSTEM FOR SOMNAMBULISM PATIENTS: IOMT BASED SMART HEALTH CARE SYSTEM
UNIV VEST TIMISOARA, WEST UNIV TIMISOARA
SHMAD: A Smart Health Care System to Monitor Alzheimer's Disease Patients
IOS PRESS
2022
A blockchain framework data integrity enhanced recommender system
WILEY
Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment
SPRINGER INTERNATIONAL PUBLISHING AG
A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions
OXFORD UNIV PRESS
Courses
9 Decisions| Course code | Course Name |
|---|---|
| DTE 622 | Internet of Things Technologies |
| SE 4901 | Field Training |
| CS 4912 | Graduation Project 1 |
| CE 3761 | Computer Network Systems |
| SE 4921 | Graduation project 2 |
| CE 4910 | Graduation Project I |
| SE 4911 | Graduation Project 1 |
| DTE 522 | Internet of Things Technologies |
| CS 4921 | Graduation Project II |
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