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. Qualifications 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 Research & Publications 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 / Consultancy Project RESEARCH GRANT 2021 – 2023 Title: Wireless Sensor Network-Based Moisture Detection Project Sponsors/Grant: UniMAP Internal Grant Supervision Supervised final-year projects focusing on industrial automation and wireless sensing technologies. Provided consultancy on implementing machine learning techniques for precision agriculture systems. Awards and Recognitions 2023 TRIZ Level 1 and Level 2 Certification 2022 Best Paper Award, International Conference on Mechatronics Applications