Prof. Dr. Ir. Suwarno, Institut Teknologi Bandung, Indonesia

SUWARNO (Senior Member, IEEE) received the B.Sc. and M.Sc. degrees from the Department of Electrical Engineering, Institut Teknologi Bandung, Indonesia, in 1988 and 1991, respectively, and the Ph.D. degree from Nagoya University, Japan, in 1996.  Senior Member of IEEE. He is currently a Professor and the Emeritus Dean of the School of Electrical Engineering and Informatics, Institut Teknologi Bandung. He is also the Head of the Electrical Power Engineering Research Group. He has published more than 300 international journal articles and conference papers. His research interests include high voltage insulating materials and technology and diagnostics and asessment of HV equipment and renewable energy systems, and asset management. He was the General Chairperson of several international conferences, such as ICPADM 2006, ICEEI 2007, CMD 2012, ICHVEPS 2017, and ICHVEPS 2019-2025. He is the Editor-in-Chief of International Journal on Electrical Engineering and Informatics.

Speech Title: Artificial Intelligence Application for Condition Assessment of High Voltage Power Transformer using Health Index

Assoc. Prof. Shuang Du, the University of Electronic Science and Technology of China, China

Shuang Du, a native of Sichuan, China, was born in 1983. He completed his undergraduate studies in Electronic Engineering at Beijing University of Posts and Telecommunications (BUPT) in 2005. He then pursued graduate education at the University of Calgary, Canada, receiving his M.Sc. in 2010 and his Ph.D. in 2015, both in Geomatics Engineering. Dr. Du embarked on his professional career at the University of Electronic Science and Technology of China (UESTC) in 2015, and he is serving as an associate professor at the School of Aeronautics and Astronautics. He is also recognized as an expert committee member of both the China BeiDou Open Laboratory and the Sichuan Provincial Department of Science and Technology. His primary research and teaching activities focus on autonomous navigation and route planning for unmanned systems, as well as the field of embodied intelligent robots. Dr. Du has presided over or led a series of research projects including the Key R&D Program of China's Ministry of Science and Technology, projects from National Natural Science Foundation of China, and Key R&D program of Sichuan Provincial Department of Science and Technology, achieving a series of innovative research outcomes. He was the recipient of the 2018 Second Prize of the Surveying and Mapping Science and Technology Progress Award (China) and the 2024 Third Prize of the Sichuan Provincial Science and Technology Progress Award. He has published more than 20 peer-reviewed articles in reputable journals and conferences, and granted more than 10 invention patents, five of which have been commercialized, generating significant economic benefits. Dr. Du pioneered the use of rotational modulation to suppress random error drift in inertial devices, effectively solving the key challenge of error divergence in long-term autonomous navigation. Building upon this foundational technology, he led his team in the development of an autonomous navigation system for ground wheeled vehicles, which has now entered the commercialization phase.

Speech Title: MAPSE: A Decoupled Planning and Execution Framework for Robust Vision-Language-Action Robots

Dr. Mohammad Hafiz Mohd Yusof, Universiti Teknologi MARA, Malaysia

Dr. Mohammad Hafiz Mohd Yusof is a Senior Lecturer and Researcher at the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), Perak Branch, Tapah Campus, Malaysia. He holds a PhD from Universiti Kebangsaan Malaysia (UKM), an MSc from UiTM, and a B.Tech (Hons) from Universiti Teknologi PETRONAS (UTP). He is also a recipient of a professional certificate from the Massachusetts Institute of Technology (MIT). He is also a registered member of the Malaysia Board of Technologists (MBOT) and holds the professional title of Professional Technologist (Ts.). His primary research interests lie within the Machine Learning & Interactive Visualization (MaLIV) Research Interest Group (RIG). Dr. Hafiz has extensive experience in academic instruction and has contributed significantly to Cybersecurity research (Intrusion Prediction and Detection Model) in machine learning and data visualization. Beyond academia, Dr. Hafiz possesses over 12 years of extensive industrial experience working with multinational corporations, including IBM and ENI. His research focuses on bridging advanced computational techniques with practical industrial applications, contributing significantly to both academic discourse and technological innovation in his field.

Speech Title: Visualizing Realistic Benchmarked IDS Dataset: CIRA-CIC-DoHBrw-2020

Senior Lecturer Dr. Siti Nabila Aidit, Universiti Malaya, Malaysia

Dr. Siti Nabila binti Aidit is a Senior Lecturer at Universiti Malaya, Malaysia where her research sits at the forefront of emerging wearable electronics and printed flexible technologies. Her expertise focuses on the synthesis and application of 2D materials and functionalized MXenes for the development of high-performance sensing systems. A prolific researcher with an H-index of 20, Dr. Nabila has authored over 50 ISI-ranked journal articles and currently leads several high-impact research projects in the field of advanced materials. Her contributions to flexible electronics and sensing technology have been recognized with numerous prestigious innovation awards. Beyond her research, Dr. Nabila is committed to academic leadership through the supervision of doctoral researchers and her service as an examiner for leading universities, playing a key role in maintaining the academic rigor and global advancement of flexible sensing technologies.

Speech Title: Next-Generation Wearable Electronics: Advancing Healthcare through Flexible and Printable Technologies