Great students who I had supervised, and who are currently still with the lab. 

Bachelor of Engineering

  1. Alya
  2. Afifah
  3. Khaidir
  4. Diabetes Monitoring Through Photoplethysmogram Morphology – Alvin Albert Charles
  5. Prediction of Blood Glucose Levels Using Electrocardiogram Morphology – Nur Al’Ainaa Idris
  6. Classification Model Development for Photoplethysmogram Signal morphology when Subjects Listen to Dzikir and Classical music – FY project (2022) Abdul Hakim bin Hussin
  7. Effect of Dzikir to the Electrocardiography (ECG) Signal – FY project (2022) Nur Alya binti Zul
  8. Development of an artificial intelligence (AI) enabled preliminary diagnostic system for COVID-19 using photoplethysmogram (PPG) – FY project (2022) Choon Jie Yi.
  9. Serum uric acid classification techniques using Machine Learning – FY project (2021) Mohamad Nazhan Mohd Nizar 
  10. The feature extraction of photoplethysmogram for gouty arthritis patients – FY project (2021) Nurin Izzati Mohamad Azizul 
  11. Photoplethysmogram feature extraction for serum uric acid level classification – FY project (2020) – Nurliyana Muhamad Aminaldi
  12. PPG analysis for uric acid level prediction using Machine Learning approach – FY project (2020) – Tan Ming Shin
  13. A Preliminary Study on Dzkir Auditory Brainstem Response of Normal Hearing Individuals – FY project (2020) – – co-supervisor.
  14. Prediction of sudden cardiac death (SCD) by analyzing electrocardiogram (ECG) – FY project (2019) – Izzat Amir Kamal Bakshir
  15. Prediction of Sudden Cardiac Death Among Malaysian and Selection of its Biomarkers – FY project (2018) – Najieha Sujani
  16.  Patient health monitoring system using a smartphone application – FY project (2014) – Faizatul Azwa Azam
  17. Development of electrocardiography (ECG) monitoring system using smartphone applications- FY project (2014) – Susamraine A/L Yi Lak
  18.  Zigbee network for home automation system – FY project (2013) – Ili Ayuni Mohd Ikhsan
  19. The application of Zigbee-based wireless monitoring and control system – FY project (2013) – Mohd Syazwan Rohaizad
  20. Designing a 16-bit RISC using adiabatic switching – FY project (2012) – Eng Kar Tian

 

Master of Engineering (coursework)

  1. AI-Powered Diabetes Prediction Using Temporal and Morphological Features in PPG Signals – Haider
  2. Patient monitoring system using Zigbee communication protocol – Peng Yuan Yuan 
  3. Correlation between the diabetes level and photoplethysmography morphology – Yu Xi
  4. FPGA-based Health Monitor System for IoT – Muhammad Syafieq Mohamad Salehudin
  5. IOT-based Vital Signs Monitoring System Development – Mohd Nazrulazlan Abd Rasid
  6. IoT-based Assistance Glove for Monitoring Bedridden Patient using Node-RED – Yusrina Fatini Mohd Yunos
  7. Design of wearable RFID tag to monitor ambulatory patients in rehabilitation centre – completed (2019) – Nur Asma Ismail
  8. The design and simulation of low power 4×4 bit Multiplier using adiabatic circuit – completed (2019) – Nabeel Yousef Farhan Qudaisat
  9. The Attack Analysis of Access Point (AP) in Wireless Local Area Network (WLAN) and The Solutions Proposal – completed (2014) – Zawawi Mohamad
  10. Color Image Originality Based on Steganography in HSV Color Space – completed (2013) – Arman Mahmoudbeik
  11. Simulation study of Thermal Conductivity of Several Epoxies in the Die Attach- completed (2013) – Lim Meng Rong

Master of Science (by Research)

  1. IOT – Taufik Rezza Mohd Foudzi
  2. Development of an IoT-Based Fault Detection and Maintenance Monitoring System for Hospital Equipment Using Node-RED – Nor Atikah Mohamad Radzi
  3. Medical Asset/Equipment Monitoring via RFID Application – completed (2025)- Muslim Ahmad Kamal
  4. Photoplethysmogram classification for mental health – completed (2023) – Azwani Awang
  5. Development of estimation technique for respiratory rate from electrocardiogram and photoplethysmogram – completed (2016) Nur Sabrina Risman
  6. Transfer Process of Graphene for Sensor Applications- completed (2014) – Norlida Ramli

Doctor of Philosophy

  1. Al Mahruqi Houd Hamood Saif – ongoing – main supervisor.
  2. The Practice of Verbal Classroom Questioning Skills Among English Teachers in the First Cycle of Schools in Al-Batinah Governorate, Sultanate of Oman – Nahed Mohammed Abdullah Al Badi – ongoing- main supervisor
  3. Ultra Low Power ADPLL Synthesizer of Self-Powered Semi-active RFID Transceiver for Healthcare Device – Syaza Norfilsha Ishak – ongoing – co supervisor
  4. Development and Effectiveness of CThink4CS2 Module on Students’ Achievement in the Topic of Salt, Computational Thinking and Attitude – completed (2024) – Norhaslinda Abdul Samad
  5. Corrosion detection and severity estimation from hydrogen evolution process in pipeline – completed (2024) – Zazilah May  – main supervisor.
  6. Development and effectiveness of CT- CHEM Module on students’ achievement, computational thinking and motivation in the topic of Electrochemistry – completed  (2022) Samri Chongo – co supervisor.
  7. Early detection of Sudden Cardiac Arrest via ECG Signal Analysis – completed (2023) – Mohd Zubir Suboh- co-supervisor.
  8. Non-invasive serum uric acid measurement using photoplethysmogram for cardiovascular disease prediction – completed (2025) – Hafifah Ab. Hamid  – main supervisor.
  9. Efficient admission control and resource allocation mechanisms for public safety communications over 5G network slice – Anuar Othman – completed (2022) – main supervisor.
  10. Characterization and development of die attach techniques for miniature device trend in semiconductor packaging – Ahmad Ridzuan Abd Rahman – ongoing – main supervisor.
  11. Design Development and Material Characterization of NEMS-based pressure sensor-  Saat Shukri Embong – completed (2016) – main supervisor.