-
36. A PROPOSED FALSE REPORT IDENTIFICATION ALGORITHM FOR A MOBILE APPLICATION IN THE IOT ENVIRONMENT
ADVANCED SCIENCE LETTERS
2018 SCOPUS CO-AUTHOR -
37. A COMPARATIVE STUDY OF TEXT CLASSIFIER FOR MOBILE CROWDSENSING APPLICATIONS
ADVANCED SCIENCE LETTER
2018 SCOPUS CO-AUTHOR -
38. PROPOSED PROACTIVE DIGITAL FORENSIC APPROACH FOR CLOUD COMPUTING ENVIRONMENT
INTERNATIONAL JOURNAL OF ENGINEERING & TECHNOLOGY
2018 SCOPUS CO-AUTHOR -
39. DIGITAL FORENSIC INVESTIGATION CHALLENGES BASED ON CLOUD COMPUTING CHARACTERISTICS
INTERNATIONAL JOURNAL OF ENGINEERING & TECHNOLOGY
2018 SCOPUS CO-AUTHOR -
40. PREVENTIVE MEASURES FOR CROSS SITE REQUEST FORGERY ATTACKS ON WEB-BASED APPLICATIONS
INTERNATIONAL JOURNAL OF ENGINEERING & TECHNOLOGY
2018 SCOPUS 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
-
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%)