Lim Tong Ming, Professor, Centre for Business Incubation and Entrepreneurial Ventures (CBIEV), Tunku Abdul Rahman University of Management and Technology (TARUMT), Malaysia

Title: A localised SLM and ASR for Malay Bahasa Rojak corpus with an experimental demo.

Bio: Prof. Lim has about 12 years of commercial software and close 27 years of academic experiences with two software companies and four universities respectively. Having many years of industry exposure, Prof Lim understands well the needs of the IT industry. His experience has allowed him to have deep understanding of industrial driven applied research projects. Prof Lim's research areas span from object technologies on software engineering to databases, peer to peer technologies, knowledge sharing to social media analytics and social influence maximization with more than 140 conference proceedings and journals published.

He has completed many grants where these grants are secured from FRGS, eScience, SKMM, MDec, Monash Internal grant, UTAR internal grant, Sunway Internal and Tunku Abdul Rahman University of Management and Technology (TARUMT) grant. More than 20 master and 5 PhD students under his supervision have graduated from Monash University, Universiti Tunku Abdul Rahman, Sunway University and TARUMT in the last 27 years. Currently Prof Lim is the Director for CBIEV and Professor in FOCS. He is a professional ACM member and am currently society affiliate member of IEEE association.

Nuo Pang, Associate Professor, Dalian University of Science and Technology, China

Title: AIGC-Enabled Marine IP Image Design Based on Regional Culture

Abstract： With the rapid advancement of artificial intelligence and the growing emphasis on the innovative development of traditional culture, the integration of regional cultural symbols with intelligent interaction design has become a critical direction for industrial design innovation. Traditional cultural elements face challenges in digital expression and user experience transformation in modern smart products. This presentation focuses on the data-driven extraction and intelligent interaction of Liaoning regional cultural symbols, addressing key issues such as cultural symbol digitization, feature mining, and user-centric design iteration. It proposes a multi-modal cultural symbol extraction framework based on machine learning, explores AI-driven user experience optimization for cultural interaction scenarios, and develops intelligent design methods for embedding regional cultural elements into smart products. The application in digital cultural innovation and intelligent product design is discussed, aiming to promote the creative transformation of regional culture and provide new paths for industrial design innovation empowered by AI technology.

Bio: Nuo Pang is currently an Associate Professor at Dalian University of Science and Technology. Her main research interests include AI-integrated industrial design, intelligent product innovation, human-computer interaction design, and user experience research. With rich practical and teaching experience in digital design and smart product development, she has long been engaged in research on the intersection of artificial intelligence and design innovation, and has achieved notable progress in data-driven cultural design and AI-assisted intelligent interaction design. She has published several academic papers in SCI/EI-indexed journals and conferences, and actively participates in international academic exchanges on design innovation and cultural technology integration.