• Jason Lin

     

    Deputy Technical Director

    Industrial Technology Research Institute

     

     

    Topic

     

    Opportunities for Generative AI Applications in Design and Experiments

     

    Speaker Profile

     

    Jason Lin is currently the Deputy Technical Director of the Digital Transformation Application Division at ITRI Southern Region Campus. He has been conducting research and development at ITRI for 17 years. He has guided over a hundred AI-related projects across various industries including petrochemical, metalworking, semiconductor electronics, textiles, injection molding, and medical biotechnology. He leads his team in assisting industries to develop various AI-based data analysis technologies, such as virtual metrology, root cause analysis, production scheduling, product inspection, equipment performance monitoring and diagnosis, parameter optimization, software process automation, and environmental safety monitoring. These technologies are implemented in customized systems in cooperation with domain experts.


    Education:
    • Ph.D. degrees in Electrical Engineering, National Cheng Kung University

    Experience:
    • Deputy Technical Director, Division of Digital Transformation Application/ITRI IS, 2023/06~
    • Manager, Department of Artificial Intelligent Application/ITRI IS, 2019/09~2023/06
    • Deputy Manager, Department of Data Application/ITRI ICL, 2015/09~2019/09

     

    Outline

     

    With the rise of Generative AI (GAI) technology and its expanding applications, it’s becoming more important to consider how to integrate discriminative AI with GAI to advance smart manufacturing to the next level. For instance, new product development requires significant time and resource investment, making it difficult to meet real-time demands. Beyond relying on past experience, there's a need for innovation and novel process designs. However, human thinking has its limitations, and product or mechanism design depends on highly skilled and experienced talent. Given that talent cultivation is challenging, successful experiences are difficult to replicate, and skills are hard to pass down, there's a growing gap in professional expertise. In this lecture, Jason Lin will illustrate design process and generative application opportunities from three levels of product design perspective, and introduce domestic and international GAI and AI application cases from the R&D and experimental aspects as references for industry professionals.