Curriculum Vitae

DR. RIYAZ AHAMED ARIYALURAN HABEEB MOHAMED

Senior Lecturer
  • Department of Information System
    Faculty of Computer Science and Information Technology
  • riyaz
  • +603 7967 6300

AREAS OF EXPERTISE

  • CYBER THREAT AND INTELLIGENCE
    Applied Science And Technology, Information And Communication Technology (ict), Digital And Cyber Security
  • PREDICTIVE ANALYTICS IN MACHINE LEARNING
    Applied Science And Technology, Information And Communication Technology (ict), Artificial Intelligence And Machine Learning
  • BIG DATA ARCHITECTURE, TECHNOLOGY AND ANALYTICS
    Applied Science And Technology, Information And Communication Technology (ict), Data And Information Management And Analytics
  • DATA ENGINEERING AND TOOLS
    Applied Science And Technology, Information And Communication Technology (ict), Data And Information Management And Analytics
  • DATA ANALYTICS
    Applied Science And Technology, Information And Communication Technology (ict), Data And Information Management And Analytics
  • DATA SCIENCE PROGRAMMING AND COMPUTING
    Applied Science And Technology, Information And Communication Technology (ict), Data And Information Management And Analytics
  • BIG DATA IN MULTIPLE SPHERES
    Applied Science And Technology, Information And Communication Technology (ict), Data Storage And Database Technology

ACADEMIC QUALIFICATION

  • PhD, (Philosophy)
    Universiti Malaya (UM)
  • M.SE, (Kejuruteraan Perisian)
    Universiti Malaya (UM)
  • B.Eng, (COMPUTER SCIENCE AND ENGINEERING)
    Sathyabama Institute of Science and Technology

MEMBERSHIPS

  • HRD CORP ACCREDITED TRAINER (TTT), MEMBER
    2022 to 2025 (National)
  • HRDCORP CERTIFIED TRAIN THE TRAINER, MEMBER
    Since 2021 (National)
  • TEKNOLOGIS PROFESIONAL, MEMBER
    2020 to 2023 (National)

RESEARCH PROJECT

National
  1. 2024 - 2027, Fundamental Research Grant Scheme (FRGS)
    Moocs Session-based Recommendation Model For Anonymous Users Using Meta-learning Approach ( Co-Researcher)

SUPERVISION

Postgraduate Student
PhD/ Doctoral
  1. (2024) AI-DRIVEN APPROACHES TO ONLINE HARM CONTENT DETECTION AND MITIGATION, SARAVANAN A/L SUKUMARAN
  2. (2024) FRAMEWORK FOR ANALYZING BINARY CODE TO IDENTIFY POTENTIAL HACKERS, HANI ABUSHARKH
  3. (2024) SECURE AND EFFICIENT COMMUNICATION IN INTELLIGENT TRANSPORT SYSTEMS – VANETS, ABDUL AZIZ
  4. (2024) IMPACT OF FEATURE SELECTION TECHNIQUES ON THE DATA MINING PROCESS AND RESULTS, HAJAHMAD YASSIN M J
  5. (2024) Enhanced K-Nearest Neighbor Models for Effective Data Classification, ALI ABDULLAH ALI AMER
  6. (2024) CUSTOMER RETENTION MANAGEMENT BY PREDICTING CUSTOMER TURNOVER USING MACHINE LEARNING ALGORITHM AND PROBABILISTIC DEEP LEARNING, CHOW WAI KHAY
  7. (2024) ACCESS CONTROL MODEL FOR INTELLIGENT TRANSPORTATION SYSTEM USING INFORMATION-CENTRIC EDGE COMPUTING, NURUL FATIN FATIENY BINTI ZULKIFLY
  8. (2024) CONTINUANCE INTENTION TO USE BIG DATA TECHNOLOGY FOR LEARNING ANALYTICS IN THE ODL AMONG MALAYSIA UNIVERSITY ACADEMICS, WANG QIANHUI
  9. (2024) IOT ENABLED TASK BASED EFFECTIVE E-LEARNING SYSTEM: A SMART CAMPUS PERSPECTIVE, MD. NUR-E-AREFIN
  10. (2022) TAX FRAUD DETECTION BASED ON CENTRALIZED BLOCKCHAIN TECHNOLOGY AND SUPERVISED MACHINE LEARNING TECHNIQUES, Hasan Mohammed Mohammed Al-Shauiby (Taylor's University)
  11. (2022) A Predictive Analytics Model for the Identification of at-risk students in VLE using Machine Learning Techniques, Dalia Abdulkareem Shafiq Al-Obaidi (Taylor's University)
Master
  1. (2024) ENHANCING SEMICONDUCTOR WAFER MAP SIGNATURE RECOGNITION USING SEMI-SUPERVISED LEARNING & GENERATIVE AI, CHEW TIAN FENG
  2. (2024) PERSONALIZED DIET AND RECIPE RECOMMENDATION SYSTEM BASED ON BMI, HEALTH CONDITIONS, AND WELLNESS GOALS USING CONTENT BASED METHODS AND MACHINE LEARNING, LEE JIE YENG
  3. (2024) A GENERATIVE AI MODEL FOR INTELLIGENT RESUME SCREENING AND CANDIDATE SHORTLISTING TO ENHANCE HUMAN RESOURCE EFFICIENCY, RONJON AHMED
  4. (2024) DEEPFAKE DETECTION USING DEEP NEURAL NETWORK, CHIAM WEI WEI
  5. (2024) ENHANCING E-COMMERCE CUSTOMER SUPPORT WITH PERSONALIZED CHATBOTS USING LARGE LANGUAGE MODELS, HUANG KEE MING
  6. (2024) METEOROLOGICAL VARIABLE-BASED DAILY RAINFALL PREDICTION USING STACKING ENSEMBLE LEARNING AND ANN, LIM SZE SING
  7. (2024) ENHANCING INTERPRETABILITY AND PERFORMANCE OF DEEP REINFORCEMENT LEARNING MULTI-AGENT ALGORITHMS FOR INDUSTRIAL MAINTENANCE PLANNING WITH DIVERSE REWARD POLICIES, MARIYAM MAJIDHA
  8. (2024) LEVERAGE SENTIMENT ANALYSIS TO BUILD A PATIENT-CENTERED HEALTHCARE SYSTEM, VINOD KUNHI KRISHNAN ANNUKARAN
  9. (2024) CUSTOMER SEGMENTATION USING MACHINE LEARNING, CHANDRA MOHAN A/L RAJENDRAN
  10. (2024) ECONOMETRIC MODELLING OF USD/MYR EXCHANGE RATE DYNAMICS AND KEY MACROECONOMIC FACTORS, OOI HIAN GEE
  11. (2023) OPTIMIZING POST-DISASTER AID DELIVERY WITH CONVOLUTIONAL NEURAL NETWORK-BASED MACHINE LEARNING SOLUTION, WONG TUN HAO
  12. (2023) OPTIMIZING AIR TRANSPORTATION EFFICIENCY THROUGH GENERATIVE AI, LIM WEI QIAN
  13. (2023) EQUIPMENT FAULT DETECTION USING GENERATIVE AI: A CMMS APPROACH, MUHAMAD ASHRAF BIN MOHAMAD
  14. (2023) MULTIMODAL EMOTION DETECTION IN VIDEOS USING PRE-TRAINED LLMS, GUNTUPU SOWJANYA

TEACHING

Master
  1. (2024) WQD7009 - Big Data Applications and Analytics
  2. (2024) WQD7006 - Machine Learning for Data Science
  3. (2023) WQD7009 - Big Data Applications and Analytics
  4. (2023) WQD7006 - Machine Learning for Data Science
  5. (2022) WQD7009 - Big Data Applications and Analytics
Bachelor
  1. (2024) WIH3003 - Big Data Applications and Analytics
  2. (2023) WIH3003 - Big Data Applications and Analytics
  3. (2022) WIE3007 - Data Mining and Warehousing
  4. (2022) WIE3010 - Data Visualization