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46. PROPOSED SEED PIXEL REGION GROWING SEGMENTATION AND ARTIFICIAL NEURAL NETWORK CLASSIFIER FOR DETECTING THE RENAL CALCULI IN ULTRASOUND IMAGES FOR UROLOGIST DECISIONS
IJCSI INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ISSUES
2016 WOS MAIN AUTHOR -
47. SMART E-SERVICE IMPLEMENTATION AS MOBILE AGENT IN A SMART E-GOVERNMENT PLATFORM
INTERNATIONAL JOURNAL OF APPLIED ENGINEERING RESEARCH
2016 WOS CO-AUTHOR -
48. COMPUTER ASSISTED COUNTER SYSTEM FOR LARVAE AND JUVENILE FISH IN MALAYSIAN FISHING HATCHERIES BY MACHINE LEARNING APPROACH
JOURNAL OF COMPUTERS
2016 SCOPUS CO-AUTHOR -
49. MATLAB IMPLEMENTATION RESULTS: DETECTION AND COUNTING OF YOUNG LARVAE AND JUVENILE BY IMAGE ENHANCEMENT AND REGION GROWING SEGMENTATION APPROACH
INTERNATIONAL JOURNAL OF SOFT COMPUTING AND ENGINEERING(TM)
2015 WOS 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%)