Rate My Professor Nurul Amira Binti Mohd Ramli

Dr. Nurul Amira Binti Mohd Ramli is a Lecturer in the Department of Mechanical and Mechatronic Engineering, Faculty of Engineering and Science, at Curtin University Malaysia's Miri Campus in Sarawak. She holds the position of Programme Coordinator for the Bachelor of Mechatronic Engineering, overseeing the program's delivery and student development. Her academic qualifications include a PhD, an MSc, and a BEng (Hons). Before joining Curtin University Malaysia, she completed a Postdoctoral Fellowship at Universiti Malaysia Perlis (UniMAP), where she conducted research in engineering technologies. Currently based at Skylark 3, Room 451, she contributes to the Global Curtin portfolio and is recognized in Curtin University's research disciplines of robotics and automation, as well as sensor networks.

Dr. Ramli's research specializations are electromagnetic theory, wireless communication, radio communication networks and systems, smart sensors, and sensor networks. These focus areas bridge mechatronics with advanced communication and sensing technologies. Her key publications highlight practical innovations: 'Design and Development of Green Trash Compactor for Recyclable Waste Management' (2024), promoting sustainable engineering; 'Lighting System Based on the Human Presence for Daily Applications' (2025), applying sensor-driven automation; 'A Robot for Collecting Objects Based on the Convolutional Neural Network Method and Inertial Measurement Unit Sensor' (2025), integrating AI and robotics; 'Non-Destructive Method for Moisture Content Sensing' (2025); and 'A New Method of Rice Moisture Content Determination Using Planar Capacitive Sensor' (2021), advancing agricultural sensing. Her scholarship has earned 51 citations on Google Scholar. Additionally, she was a successful recipient in the 2025 CMTIP awards for her project 'Interactive Guided Learning with Generative AI,' recognizing her contributions to teaching innovation. Through her teaching and research, Dr. Ramli impacts mechatronic engineering education and sensor technology applications.