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6. ENHANCING EMOTION RECOGNITION THROUGH MULTI-MODAL DATA FUSION AND GRAPH NEURAL NETWORKS
INTELLIGENCE-BASED MEDICINE
2025 SCOPUS CO-AUTHOR -
7. DEVELOPING BLOCK CHAIN TECHNOLOGY ON ABCN NETWORK CONTROLLER FOR FLYBACK CONVERTER FED PV GRID IN MODERN POWER SYSTEM USING IOT
GEOSCIENCE JOURNAL
2025 SCOPUS CO-AUTHOR -
8. FRAMEWORK-DRIVEN GUIDELINE GENERATION FOR AI ADOPTION: A RISK-BASED PERSPECTIVE
JOURNAL OF THEORETICAL AND APPLIED INFORMATION TECHNOLOGY
2025 OTHER DATABASE CO-AUTHOR -
9. IMPROVING PERFORMANCE USING 2 X 2 SINGLE ELEMENT MASSIVE MIMO ANTENNA IN 6G DEVICES
JOURNAL OF NANO- AND ELECTRONIC PHYSICS
2025 OTHER DATABASE MAIN AUTHOR -
10. HYBRID CNN TRANSFORMER ARCHITECTURE FOR ENHANCED EEG BASED EMOTION RECOGNITION: CAPTURING LOCAL AND GLOBAL DEPENDENCIES WITH SELF ATTENTION MECHANISMS
DISCOVER COMPUTING
2025 OTHER DATABASE CO-AUTHOR
ACADEMIC QUALIFICATIONS
- PhD in Digital Forensic / Computer Security (2012)
EXPERTISE
- Computer Forensic
- Cybersecurity And Cyberwarfare Preparedness
- Expert Systems And Machine Learning
PROF. MADYA DR. SUNDRESAN A/L PERUMAL
PENSYARAH 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/sundresan.p
Phone: 016-44046
E-mail: sundresan.p@usim.edu.my
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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. AN AI-EMBEDDED WEB INTELLIGENCE SYSTEM FOR AUTOMATED MULTI-SOURCE KNOWLEDGE EXTRACTION, COMPARISON, AND DECISION SUPPORT
2025 BIDUNI MIZANNIYAH ON GOING MAIN RESEARCHER -
3. DEVELOPMENT OF SMART LUGGAGE TROLLEY TRACKING SYSTEM (S-TRACKER) USING NB-IOT TECHNOLOGIES FOR SUSTAINABLE LOGISTIC MANAGEMENT AT KUALA LUMPUR INTERNATIONAL AIRPORT
2025 GERAN PENYELIDIKAN INDUSTRI ON GOING MAIN RESEARCHER -
4. DEVELOPMENT OF SMART LUGGAGE TROLLEY TRACKING SYSTEM (S-TRACKER) USING NB-IOT TECHNOLOGY
2024 GERAN PENYELIDIKAN INDUSTRI ON GOING MAIN RESEARCHER -
5. SMART CROPS: CIRCADIAN RHYTHMS OPTIMIZATION (CROPS) IN HEALTHCARE SHIFT WORKERS USING DEEP LEARNING APPROACH
2024 GERAN PENYELIDIKAN INDUSTRI ON GOING MAIN RESEARCHER
Completed: 8 (44%)
Ongoing: 10 (56%)