NJU International Fellowship Initiative Lecture

From Humble Beginnings: Advancing Al & Robotics through the University's Third Mission

Time: May 22, 2025 (Thursday) 16：00

Location: West 410, Nanyong Building, Suzhou Campus

Speaker:

Assoc. Professor Dr. Mohd Ibrahim is an experienced academic in the field of Artificial Intelligence, specializing in Generative AI, Deep Learning, Machine Learning, Brain-Computer Interface, and Computer Vision. He currently serves as the Director of the Centre for Artificial Intelligence and Robotics (CAIRO) and as an Associate Professor in the Department of Electronic Systems at the Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM). Dr. Ibrahim earned his MEng from the University of York, UK, in 2007 and completed his PhD in Machine Learning at UTM in 2013. His research contributions have earned him numerous accolades, including the York Probe Prize and multiple awards in AI and machine learning. In 2020, he was recognized as a Chartered Engineer (CEng) by the UK Engineering Council and as a Professional Technologist by the Malaysian Board of Technologies (MBOT). Since 2018, he has also been a Certified NVIDIA Deep Learning Instructor. Dr. Ibrahim is a member of the Academy of Sciences Malaysia’s Special Interest Group on Machine Learning and has held significant administrative roles, including Head of the Electronic Systems Engineering Department and Procurement Manager at MJIIT. His leadership extends to various academic and research committees, demonstrating his strong commitment to AI research and education. Internationally, he has been a visiting researcher at Keio University with Prof. Yasue Mitsukura and at Kyushu University with Assoc. Prof. Gerard Remijn, focusing on Brain-Computer Interfaces. Currently, his research interests lie in Generative AI and AI Computer Vision, with specific applications in wafer defect inspection, 3D modeling for digital twin systems in telecommunications, and the development of AI systems enhanced by human feedback.