Shin-Ming Tseng, a student from the Ph.D. Program in Artificial Intelligence at Asia University, was honored for proposing a practical solution to support the digital transformation of traditional industries.

Students at Asia University's AI Laboratory are deeply engaged in their research, demonstrating strong focus and dedication to advancing artificial intelligence innovations.
Chen Hsin-Ming, a doctoral student in the Artificial Intelligence Ph.D. Program at Asia University (AU), has been awarded the Best Paper Award at the prestigious 2025 IEEE International Conference on Electronics, Information, and Communication (ICEIB). His paper showcases an innovative application of vision-language models (VLMs) to transform the traditional shoe industry, offering precise product analysis, design optimization, and intelligent production workflows—paving the way for a feasible path toward digital transformation in traditional manufacturing.
The IEEE ICEIB conference serves as a global platform for leading scholars, researchers, and industry professionals to explore cutting-edge developments in electronics, IoT, AI, and big data. This year’s event brought together experts from 12 countries, including Japan, Korea, Hungary, and Indonesia, with a total of 132 paper submissions, of which 109 were accepted. Selected papers will be featured in the IEEE Xplore digital library and submitted to EI indexing, with several recommended for SCI-indexed journals.
Chen's award-winning study, titled “A Study of the Application of Vision Language Models for the Shoe Industry,” was conducted under the guidance of Prof. Hsueh-Ting Chu in the AU Department of Computer Science’s AI Lab. The research leverages the synergy between visual data and textual descriptions through VLMs, offering intelligent, automated solutions tailored to the shoe industry’s unique challenges. This novel integration significantly enhances production efficiency, design flexibility, and innovation capacity in the field.
“I am deeply honored to receive this recognition,” said Chen. “I sincerely thank my advisor, Prof. Chu, and all my lab colleagues for their valuable insights and support throughout this project. Asia University has provided a rich academic environment and strong research backing, enabling me to focus and push boundaries in my research.”
Chen hopes to bring these AI-driven innovations into real-world applications, driving Taiwan’s and the global shoe industry toward a new era of smart, high-performance manufacturing.
