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1. REVIEW OF ARTIFICIAL INTELLIGENCE TECHNIQUES USED IN IOT NETWORKS
INDERSCIENCE ONLINE
2024 SCOPUS CO-AUTHOR -
2. ENHANCE DATA AVAILABILITY AND NETWORK CONSISTENCY USING ARTIFICIAL NEURAL NETWORK FOR IOT
MULTIMEDIA TOOLS AND APPLICATIONS
2024 ERA CO-AUTHOR -
3. MACHINE LEARNING-BASED CLASSIFICATION OF TERMITE GENERA
2024 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN ENGINEERING AND TECHNOLOGY (IICAIET)
2024 SCOPUS MAIN AUTHOR -
4. ENHANCED SPATIAL PYRAMID POOLING AND INTERSECTION OVER UNION IN YOLOV4 FOR REAL-TIME GROCERY RECOGNITION SYSTEM
JOURNAL OF THEORETICAL AND APPLIED INFORMATION TECHNOLOGY
2022 SCOPUS AND ERA MAIN AUTHOR -
5. AN EFFECTUAL SECURED APPROACH AGAINST SYBIL ATTACKS IN WIRELESS NETWORKS
INTERNATIONAL JOURNAL OF INTERACTIVE MOBILE TECHNOLOGIES (IJIM)
2022 SCOPUS AND ERA MAIN AUTHOR

ACADEMIC QUALIFICATIONS
- PhD in Digital Forensic / Computer Security (2012)
EXPERTISE
- Wireless Technology
- Computer Security
- Forensic Issues
- Cyber Law
PROF. MADYA DR. SUNDRESAN A/L PERUMALPENSYARAH UNIVERSITI DS14 Faculty Fakulti Sains Dan Teknologi Biography A lecturer from Fakulti Sains Dan Teknologi. Holds a Phd in Digital Forensic / Computer Security. Usim Expert: https://expert.usim.edu.my/profile/sundresan.p Phone: 016-44046 E-mail: sundresan.p@usim.edu.my |
RESEARCHER
ID
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1. DEVELOPMENT OF SMART LUGGAGE TROLLEY TRACKING SYSTEM (S-TRACKER) USING NB-IOT TECHNOLOGIES FOR SUSTAINABLE LOGISTIC MANAGEMENT AT KUALA LUMPUR INTERNATIONAL AIRPORT
2025 GERAN KPT ON GOING MAIN RESEARCHER -
2. DEVELOPMENT OF SMART LUGGAGE TROLLEY TRACKING SYSTEM (S-TRACKER) USING NB-IOT TECHNOLOGY
2024 GERAN PENYELIDIKAN INDUSTRI ON GOING MAIN RESEARCHER -
3. SMART CROPS: CIRCADIAN RHYTHMS OPTIMIZATION (CROPS) IN HEALTHCARE SHIFT WORKERS USING DEEP LEARNING APPROACH
2024 GERAN PENYELIDIKAN INDUSTRI ON GOING MAIN RESEARCHER -
4. INTEGRATING CLINICAL ASSESSMENT WITH MACHINE LEARNING FOR DETECTING ONLINE DEPRESSIVE SYMPTOMS AMONG MEDICAL STUDENTS THROUGH SOCIAL MEDIA TEXTS
2024 BIDUNI MIZANNIYAH ON GOING MAIN RESEARCHER -
5. CYBERSECURITY AND SYSTEMS (CSS)
2024 GERAN KUMPULAN PENYELIDIKAN (KUP) ON GOING CO-RESEARCHER
Completed: 8 (50%)
Ongoing: 8 (50%)