I embarked on serious research in 2009 when I commenced my master’s research at Shibaura Institute of Technology (SIT), Japan, focusing on mobile computing. This research journey continued during my PhD studies at Universiti Teknologi Malaysia (UTM), culminating in the completion of my PhD at the end of 2015, with the official conferment in early February 2016. Throughout my master’s and doctoral studies, I honed skills in problem identification, problem-solving, and systematic documentation. I have contributed to various published papers on topics such as handover interruptions, handover signaling, mobility predictions, and route optimization.
In 2016, I started teaching at the Faculty of Electrical Engineering, UTM. Alongside teaching, I undertook roles in supervising final year students, master’s students, and PhD students, as well as participating in capstone projects at the undergraduate level. My supervisory roles extended to research areas such as Internet of Things (IoT), dynamic slice management vehicular communication and recently Artificial Intelligence (AI).
Reflecting on my teaching experience, I pondered questions like how to gauge students’ understanding, convey information accurately and address misconceptions in the classroom. These reflections prompted me to seek training related to effective teaching, starting with the Scholarship of Teaching and Learning (SoTL). SoTL, a systematic inquiry into student learning, has become a pivotal aspect of my teaching practice, particularly in the context of engineering education.
My entry into engineering education research took a significant turn in 2017 with the publication of my first paper titled “Cooperative Learning Implementation in a Signals and Systems Course.” This paper was presented as a poster at the 2017 7th World Engineering Education Forum (WEEF). This marked a shift from technical research to SoTL, a move that I embraced due to its reflective nature and the opportunity for continuous improvement in teaching methods. I explore and use technology in teaching because I belief that this technology can help students to visualize the concept.
Currently, I am interested into more rigorous research in engineering education as I supervise three PhD students in this field. The research themes encompass sustainability, competency in Society 5.0, and Teaching & Learning (T&L) for complex problem-solving. Additionally, I recently secured a grant from UTM related to Artificial Intelligence (AI) in Engineering Education, marking my new research interest area in engineering education. Despite this shift, I continue to supervise students in electrical engineering, always striving to establish connections with engineering education, as exemplified by my current final year project focusing on blockchain for assessment, IoT system network performance, AI in education.