ºìÐÓÊÓƵ

Professor Gavin Shaddick

Fabian Bigar

Abdullah Zawawi bin Mohamed

Dynamic and visionary robotics engineer with over 15 years of experience in oil and gas and agriculture automation, embedded systems, and AI-driven robotics. Proven expertise in deploying advanced solutions for oil & gas and plantation sectors using ROS,SLAM, computer vision, and machine learning. Skilled in end-to-end product development—from prototyping to deployment—across diverse robotics applications.

Noelle Tan

Davis Chai

Professor Chua Hui Na

Associate Professor Ts. Dr Aznul Qalid Bin Md Sabri

Professor Ts. Dr Nurfadhlina Mohd Sharef

Dr Nazri Bajuri

Naguib Mohd Nor

Associate Professor Dr Anwar P.P. Abdul Majeed

Professor Ir Rosdiadee Nordin

Associate Professor Dr Saad Aslam

Dr Saad Aslam is an accomplished academic and researcher with over fourteen years of experience. With a robust background in teaching at both undergraduate and graduate levels, Dr Saad plans to elevate academic excellence by revising and introducing courses that reflect cutting-edge advancements in various computing and engineering disciplines. Dr Saad spearheaded the design and development of new courses and curricula, successfully navigating the approval process with standardization and academic bodies. Simultaneously, his research focus on wireless communication, cellular networks, machine learning, green machine learning, and smart systems has been propelled through publications and international collaborations. In this process, Dr Saad has produced several peer-reviewed journal articles as well as conference papers. His publications have received research awards as well. He is currently reviewing numerous academic journals as well as research proposals submitted to various international universities. Leveraging industry exposure, Dr Saad seeks to integrate practical knowledge into academia, fostering a bridge between theory and real-world applications.

During his career, Dr Saad Aslam has been a recipient of the best Lecturer award, teaching excellence award, student appreciation of teaching award, and honorariums.

Associate Professor Dr Azam Che Idris

Dr Azam Che is a rocket scientist turned AI professional, currently serving in the Department of Data Science and AI at ºìÐÓÊÓƵ University. He holds a master and a PhD in Aerospace Engineering from the University of Manchester and is a certified IBM AI Engineering Professional.

Dr Azam is a Chartered Engineer registered with the Engineering Council UK, a Chartered IT Professional with the British Computer Society, and a Chartered Manager with the Chartered Management Institute. He also maintains a professional European Engineer (EUR ING) status with FEANI.

Prior to joining ºìÐÓÊÓƵ, he conducted research and teaching at Universiti Brunei Darussalam (UBD) and has consulted for multiple AI startups. His multidisciplinary work spans deep-learning–based human action recognition, physics-informed neural-network modelling of coastal waves, and transformer-based generative-AI for engineering design and sequential data processing. Dr Azam welcomes academic and industrial partnerships with anyone interested in applying AI to solve challenging problems.

Associate Professor Ts. Dr Lee Yun Li

Yun Li, Lee is an Associate Professor at the School of Engineering and Technology. She has more than 15 years of teaching and research experience in higher education. She is currently a senior member of the IEEE, a Professional Technologist of MBOT, and the Malaysia Director of the International Association for Convergence Science & Technology (IACST). She has contributed to several local and international research projects such as the FRGS, PPRN, and Japan-APT funds, and published in leading international journals, conferences, and book chapters. Her current research includes ultrasound imaging, time series data analysis, and designing a cognitive training module.