Committee Members

Ir. Dr. Rizauddin is an Associate Professor at the Department of Mechanical and Manufacturing Engineering, Universiti Kebangsaan Malaysia(UKM). He received the Bachelor degree in mechanical engineering from the Kyoto University, Japan, in1997, Master in mechanical and system engineering and Ph.D. degree in mechanical engineering from the Gifu University, Japan, in 2005 and 2008, respectively. With over two decades of academic and research experience, Dr. Rizauddin specializes in robotics, intelligent control systems, autonomous vehicles, and human-assistive exoskeleton technologies. His current research focuses on AI-integrated control strategies, real-time robotic simulation, and autonomous UAVs for infrastructure inspection. Dr Rizauddin has an extensive publication record, with over 100 articles to his name. Approximately 30% of these are high-impact publications. He has also co-authored and authored books in his areas of expertise. His extensive publication record and high-impact contributions are complemented by several widely recognized books he has authored and co-authored within the academic community . He is also a Professional Engineer with Practising Certificate in mechanical engineering from Board of Engineers Malaysia since 2014. Frequently referred by the industries for robot engineering consultations on its application and automated systems. He received several research grants since 2008 from industries and Ministry of Higher Education Malaysia.

Pahrudin was a Postdoctoral researcher at the Department of Leisure and Services Management, Chaoyang University of Technology, Taiwan. He is also a Lecturer at the Faculty of Social Sciences and Economics, Universitas Hamzanwadi (Indonesia). His research interests are tourism economics, tourism marketing and management, disaster/crises in tourism, tourist behavior in the post-disaster period, and management and marketing.

Zhugen Yang is a Professor of Biosensing and Environmental Health, leading a UKCRIC-funded Advanced Sensors Laboratory for water-environment-health-nexus since 2019. He joined Cranfield University as a Lecturer in 2019 and was promoted to Senior Lecturer in 2022 and Professor in 2023, after being a Lecturer at the University of Glasgow since 2018. He has received three prestigious Fellowships/awards for different career stages, including the Leverhulme Research Leadership Awards (2023-2028), UKRI NERC Personal Fellowship, and EU Marie Curie Fellow. He completed his postdoc at the University of Cambridge. He was an EU Marie Curie Fellow at the University of Bath, after receiving his PhD at the University of Lyon (Ecole Centrale) in France, MSc (Sun Yat-sen University, SYSU), and BEng (Harbin Institute of Technology, HIT) in China.

Yi Fang is an Associate Professor of Electrical and Computer Engineering at the NYU Abu Dhabi and NYU Tandon. He directs the NYU Multimedia and Visual Computing Lab. He received his Ph.D. degree from Purdue University, West Lafayette in 2011. Upon one year of industry experience in Siemens in Princeton, New Jersey and in Riverain Technologies in Dayton, Ohio, and a half-year academic experience as a senior staff scientist at Department of Electrical Engineering and Computer science, Vanderbilt University, Nashville, he joined New York University Abu Dhabi as an Assistant Professor of Electrical and Computer Engineering. Professor Fang’s research focuses on 3D Computer Vision and Machine Learning with applications to robotics and autonomous driving. He is currently working on the development of 3D deep learning technologies in large-scale visual computing, cross-domain and cross-modality models, and their various industrial applications. Professor Fang has published more than 50 papers in international journals and conferences including IEEE TPAMI, TIP, TC y bernetics, TNNLS, CVPR, ICCV, ECCV, NeurIPS, AAAI, IJCAI, ACMMM, IROS, etc. Professor Fang has served as the publicity chair for the 27th ACM International Conference on Multimedia (ACMMM) in Nice, France. He has served as co-chair for the IROS 2019 session “Human-centered Robotics” and will serve as the program chair for the Asian Conference on Machine Learning (ACML 2021) and the area chair of the Conference on Computer Vision and Pattern Recognition (CVPR 2021, CVPR 2022) and International Conference on Computer Vision (ICCV 2021).

Dr Mukesh Prasad is a Senior Lecturer at the School of Computer Science in the Faculty of Engineering and IT at UTS and a subject matter expert for Artificial Intelligence and Machine Learning at Institute of Applied Technology (IAT), NSW, Australia. He has made substantial contributions to the fields of machine learning, artificial intelligence, data analytics and Natural Language Processing. He is working also in the evolving and increasingly important field of computer vision and internet of things, which promise to pave the way for the evolution of new applications and services in the areas of healthcare, biomedical, agriculture, smart cities, education, marketing and finance. His research has appeared in numerous prestigious journals, including IEEE/ACM Transactions, and at conferences, and he has published more than 200 research articles .He started his academic career as a lecturer with UTS in 2017 and became a core member of the University’s world-leading Australian Artificial Intelligence Institute (AAII), which has vision to develop theoretical foundations and advanced technologies for AI and to drive progress in related areas. His research is backed by industry experience, specifically in Taiwan, where he was the principal engineer (2016-17) at the Taiwan Semiconductor Manufacturing Company (TSMC). He received an M.S. degree from the School of Computer and Systems Sciences at the Jawaharlal Nehru University in New Delhi, India (2009), and a PhD from the Department of Computer Science at the National Chia o Tung University in Taiwan (2015)

Dr. Xiaomo Jiang is a distinguished professor of Energy and Power Engineering at Dalian University of Technology, where he serves as Director of the Provincial Key Lab of Digital Twin for Industrial Equipment and the Institute for Carbon Neutrality. His research focuses on smart maintenance, digital twin and AI for Science (AI4Science) applications in large turbomachinery under uncertainties. Dr. Jiang earned his Ph.D. from The Ohio State University (OSU) in 2005 and an MEng from the National University of Singapore (NUS) in 2000, specializing in intelligent systems. Prior to academia, he accumulated over a decade of industry experience as a Senior Engineer and Technical Leader at Ford Motor Company and General Electric (GE), where he developed AI-driven solutions for remote monitoring, diagnostics, and prognostics of energy and power equipment. As a prolific scholar, Dr. Jiang has co-authored over 100 journal papers, 1 book, and 11 book chapters, as well as over 30 patents in the cross-disciplinary fields of physics-informed deep learning, lightweight modeling, and advanced statistics. His work has earned him consistent recognition as an Elsevier Highly Cited Chinese Researcher and a Top 2% Most-Cited Scientist Worldwide (Stanford University ranking). [included if needed] In addition, Dr. Xiaomo Jiang holds concurrent appointments as Chair Professor at multiple 985 universities in China, Technical Expert for leading enterprises including Shanghai Electric Group (SEGC), Commercial Aircraft Corporation of China (COMAC), Dalian Metallurgy Group, and China National Offshore Oil Corporation (CNOOC), Committee Member of key industry and research bodies such as China International Turbomachinery Industry Alliance, Liaoning Marine Renewable Energy Technology Platform, and Dalian Artificial Intelligence Research Institute. Dr. Jiang used to serve as a Session Chair for the 4th Asia-Pacific PHM and 4th GPPS Conferences, editorial positions (Associate Editor, Editorial Board Member, or Technical Advisor) for over 30 international conferences, committee member of the ASME (American Society of Mechanical Engineers) Model Verification Standards Committee, Editorial Board Member of ASME Journal of Risk and Uncertainty Analysis and Journal of Advanced Computing.  He is an International Editorial Board Member of Journal of Propulsion Technology, and a licensed Professional Engineer (PE) in the United States.