| Name | PROF. MADYA Dr. LUKMAN HANIF BIN MUHAMMAD AUDAH | Faculty/Centre |
FAKULTI KEJURUTERAAN ELEKTRIK DAN ELEKTRONIK |
|---|---|---|---|
| Position | DS54 - PROFESOR MADYA | Email Address | hanif@uthm.edu.my |
| # | Name | Chapter Name | Type | Role |
|---|---|---|---|---|
| 1. | CENTRALIZED RSU DEPLOYMENT STRATEGY FOR EFFECTIVE COMMUNICATION IN MULTI-HOP VEHICULAR ADHOC NETWORKS (VANETS) | Persidangan / Seminar | Penulis Pertama UTHM - First Author | |
| 2. | MASSIVE MULTIPLE-INPUT-MULTIPLE-OUTPUT 5G WIRELESS NETWORK USING MULTIPLE OBJECTIVE SELF-ORGANIZING SAND CAT SWARM OPTIMIZATION | Persidangan / Seminar | Penulis Pertama UTHM - First Author | |
| 3. | ENHANCING SUSTAINABLE EDGE COMPUTING OFFLOADING VIA RENEWABLE PREDICTION FOR ENERGY HARVESTING | Artikel Jurnal | Penulis Pertama UTHM - First Author | |
| 4. | SECURITY CONTROL AND DATA PLANES OF SDN: A COMPREHENSIVE REVIEW OF TRADITIONAL, AI, AND MTD APPROACHES TO SECURITY SOLUTIONS | Artikel Jurnal | Penulis Utama - Corresponding Author | |
| 5. | DETECTING DDOS THREATS USING SUPERVISED MACHINE LEARNING FOR TRAFFIC CLASSIFICATION IN SOFTWARE DEFINED NETWORKING | Artikel Jurnal | Penulis Utama - Corresponding Author | |
| 6. | DEEP REINFORCEMENT LEARNING BASED RESOURCE ALLOCATION STRATEGY IN CLOUD-EDGE COMPUTING SYSTEM | Persidangan / Seminar | Penulis Pertama UTHM - First Author | |
| 7. | EMPOWERING ENERGY-SUSTAINABLE IOT DEVICES WITH HARVEST ENERGY-OPTIMIZED DEEP NEURAL NETWORKS | Artikel Jurnal | Penulis Pertama UTHM - First Author | |
| 8. | DDOS ANOMALY DETECTION IN SOFTWARE-DEFINED NETWORKS: AN EVALUATION OF MACHINE LEARNING TECHNIQUES FOR TRAFFIC CLASSIFICATION AND PREDICTION | Persidangan / Seminar | Penulis Utama - Corresponding Author |