Dr Nur Hazliza Ariffin

Lecturer
School of Engineering

nur.hazliza@monash.edu
+603 5514 6249
Room 5-4-45
ORCID

Personal statement

Nur Hazliza obtained her PhD in Electrical & Electronics Engineering from Universiti Kebangsaan Malaysia (UKM) in 2019 and also worked as a full-time research assistant at UKM during her PhD candidature. Her research was focusing on method to determine the direction of true north using MEMS. The research project won the Islamic Innovation Challenge 2019 organized by the Innovation Agency Malaysia and was awarded a gold medal at the 2017 International Conference and Exposition on Inventions by Institutions of Higher Learning. In addition, the patented project has also been nominated for the final rating of the patent category for the 2017 National Intellectual Property Awards 2017 and 2018 Malaysia Commercial Year. She holds an MSc in Microelectronics from UKM in 2015 and Bachelor of Electronics Engineering Technology from UniKL British Malaysian Institute in 2008. Nur Hazliza has more than ten years of teaching experience, she has worked at UCSI University from 2008 until 2015 as a Head of Tutor and Diploma Coordinator. She also worked as a part-time lecturer at Segi University in 2017 to 2018. She is currently a Lecturer in the Department of Common Engineering, School of Engineering, Monash University Malaysia. Her research interest includes IoT, embedded systems, control systems, robotic design and digital signal processing.

Academic degrees

  • Doctor of Philosophy in Electrical & Electronic Engineering, Universiti Kebangsaan Malaysia, 2019
  • Master in Science (Microelectronics), Universiti Kebangsaan Malaysia, 2015
  • Degree in Engineering Technology (Electronics), UNIKL-British Malaysian Institute, 2008

Professional affiliations

Member of National Professional Bodies

  • Board of Engineers Malaysia (BEM), Member
  • Malaysian Board of Technologist (MBOT), Graduate Technologist

Journal

Abubakar, Sabiran; Arsad, Norhana; Ehsan, Abang Annuar; Hamzah, Azura; Ariffin, Nur Hazliza; Ab-Rahman, Mohammad Syuhaimi; , 2019, Performance Analysis of Disposable Flow Cell for Nitrite Detection, IEEE Access, (146024-146036), Volume: 7, 10.1109/ACCESS.2019.2946191

Ariffin, Nur Hazliza; Arsad, Norhana; Jumat, Mohd Fikri Mohd; Zain, Mohd Saiful Dzulkefly; Bais, Badariah (2018) Vector algebra qibla detection in an indoor, semi-open and outdoor environment, Journal of Engineering Science and Technology, (1573-1586), Volume: 13, Issue Number: 18234690, https://www.scopus.com/record/display.uri?eid=2-s2.0-85050146459&origin=resultslist

Muda, R.; Arsad, N.; Ariffin, N.; Hadi, A. A. (2018) A compact optical fiber based gas sensing system for carbon dioxide monitoring, Journal of Telecommunication, Electronic and Computer Engineering, (11-14), Volume: 10, Issue Number: 21801843, https://www.scopus.com/record/display.uri?eid=2-s2.0-85045261878&origin=resultslist

Muda, R.; Arsad, N.; Ariffin, N.; Hadi, A. A. (2018) Dual channel double wavelength method in optical fiber-based gas sensor for carbon dioxide detection, Journal of Telecommunication, Electronic and Computer Engineering, (159-162), Volume: 10, Issue Number: 21801843, https://www.scopus.com/record/display.uri?eid=2-s2.0-85045257264&origin=resultslist

Ariffin, Nur Hazliza; Zakaria, Iza Rozwan Iskandar; Arsad, Norhana; Bakar, Ahmad Ashrif Abu; Bais, Badariah; Zan, Mohd Saiful Dzulkefly (2018) Autonomous MEMS gyroscope and accelerometer for north finding system, Journal of Telecommunication, Electronic and Computer Engineering, (13-17), Volume: 10, Issue Number: 21801843, https://www.scopus.com/record/display.uri?eid=2-s2.0-85045137690&origin=resultslist

Ariffin, Nur Hazliza; Arsad, Norhana (2017) MEMS gyroscope and accelerometer based north finding system, ARPN Journal of Engineering and Applied Sciences, (6517-6522), Volume: 12, https://www.scopus.com/record/display.uri?eid=2-s2.0-85035349190&origin=resultslist

Book

Ariffin, Nur Hazliza; Arsad, Norhana; Bais, Badariah (2017) Low cost MEMS gyroscope and accelerometer implementation without Kalman Filter for angle estimation, 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016, (77-82), 10.1109/ICAEES.2016.7888013,

Research Interests

MEMS, IoT, embedded systems, control systems, robotic design and digital signal processing.

Research Projects

Title: InnoQibla

The illustration of the InnoQibla systems

The InnoQibla is an automated system comprises of MEMS gyroscope, microcontroller, stepper motor, micro step driver and laser. The MEMS gyroscope is placed on the horizontal rotating laser which mounted on stepper motor, while the data and power cables of the gyroscope and microcontroller are connected for communication. The microcontroller controls the rotating stepper motor, the gyroscope will configure and collects the data for determining the direction of True North (reference point). The True North information shall be used as reference input to appropriately steering the laser source forming the directional line pointing toward Qibla direction based upon Qibla Vector Algebra method.

The patented InnoQibla are highly specific & compact, cost-effective, quick & simple manner, without the use of complicated and sophisticated devices. Advantageously, the systems are not affected by magnetic interference and satellite signal attenuation typically occurred inside the building which leads to unsolicited errors and inaccuracy in the readings by way of measuring the direction of True North and Qibla.

In addition, the field test results prove that the InnoQibla can achieve an accuracy of ±7’ 06” with respect to the true north and Qibla direction, which was verified by the Department of Survey and Mapping Malaysia. The entire process of determining the true north and the Qibla direction using the developed system takes less than 30 minutes compared with existing methods and equipment which typically consumes more than 2 hours.

Local grants

  • Autonomous Qibla Finder, Norhana Arsad, Nur Hazliza Ariffin, Afida Ayob, Ahmad Ashrif Abu Bakar, Mohd Saiful Dzulkefli Zan, 2017-2019, Dana Inovasi Universiti Kebangsaan Malaysia, RM100,000

Current supervision

Nor Farahulain Binti Muhammed Pauzi
Analysis of Digital Filter for Angle Estimation using MEMS Gyroscope and Accelerometer
2019
Universiti Kebangsaan Malaysia

Adawiyah Binti Aminuddin
Design and Development of Cross Line Laser for Direction Marking Application
2019
Universiti Malaysia Perlis

Completed supervision

Nurdiana Sulaiman
433MHz Wireless GPS Transmitter System: An Analysis of Distance and Accuracy
2018
Universiti Kebangsaan Malaysia

Azri Hariz Bin Ahmad
Self-leveling Laser for Direction Marking System
2018
Universiti Kebangsaan Malaysia

Mohd Fikri Bin Mohd Jumat
Utilization of Vector Algebra for Indoor Qibla Marking System
2017
Universiti Kebangsaan Malaysia

Local Award/Recognition/Exhibition/Stewardship

  • Islamic Innovation Challenge 2019, Gold Award, Innovation Agency Malaysia, 2019, InnoQibla
  • 2017 International Conference and Exposition on Inventions (PECIPTA 2017), Gold Award, Institutions of Higher Learning, 2017, InnoQibla