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Dr. Abd Alazeez Almaleeh

Email: [email protected]

Dr. Abd Alazeez Almaleeh is an experienced lecturer and researcher with extensive experience in the field of mechatronics engineering. Specializing in machine learning and wireless sensor networks, his work focuses on the development of innovative technologies aimed at advancing industrial automation and precision agriculture.

In addition to his academic contributions, he is a recognized professional in his field, holding membership with the Malaysia Board of Engineers (BEM) and being a Registered Technologist with the Malaysia Board of Technologists (MBOT). His expertise and dedication to advancing engineering practices make him a valuable contributor to both academia and industry.

PhD in Mechatronics Engineering Universiti Malaysia Perlis (UniMAP), 2022

Master’s in Mechatronics Engineering Universiti Malaysia Perlis (UniMAP), 2018

Bachelor’s in Mechanical Engineering UCSI University, 2015

Year Title
2022 Inline 3D volumetric measurement of moisture content in rice using regression-based ML of RF tomographic imaging
AA Almaleeh, A Zakaria, LM Kamarudin, MHF Rahiman, DL Ndzi, I Ismail
Sensors 22 (1), 405
2021 RF signal calibration for improvement of 3D mapping image to locate moisture distribution in rice silo
AA Almaleeh, A Zakaria, MHF Rahiman, YBA Rahim, L Munirah,
Journal of Physics: Conference Series 2107 (1), 012059
2019 A Review on the efficiency and accuracy of localization of moisture distributions sensing in agricultural silos
AA Almaleeh, A Zakaria, S Zakaria, LM Kamarudin, MHF Rahiman,
IOP Conference Series: Materials Science and Engineering 705 (1), 012054
2017 Development of Rapid and Accurate Method to Classify Malaysian Honey Samples Using UV and Colour Image.
AA Almaleeh, AH Adom, A Zakaria. International Journal of Technology 8 (3)
Classification of the botanical origin for Malaysian honey using UV-Vis spectroscopy
AA Almaleeh, AH Adom, AS Fathinul-Syahir. AIP Conference Proceedings 1808 (1).

RESEARCH GRANT

2021 – 2023

Title: Wireless Sensor Network-Based Moisture Detection Project
Sponsors/Grant: UniMAP Internal Grant

  • Supervised final-year projects focusing on industrial automation and wireless sensing technologies.
  • Provided consultancy on implementing machine learning techniques for precision agriculture systems.

2023
TRIZ Level 1 and Level 2 Certification

2022
Best Paper Award, International Conference on Mechatronics Applications