Innovation in wireless communication: NSYSU's Chao-Kai Wen receives NSTC Academic Outstanding Research Award
The National Science and Technology Council (NSTC) has announced the recipients of the 2024 Academic Outstanding Research Award, with Professor Chao-Kai Wen from the Institute of Communications Engineering at National Sun Yat-sen University (NSYSU) being honored for his contributions to deep learning in wireless communications and multiple-input multiple-output (MIMO) antenna array systems. In addition to pioneering theoretical research, he has successfully translated his findings into practical applications through industry-academia collaboration and technology transfer, earning him this prestigious recognition.
Professor Wen specializes in wireless communications and has made significant contributions to the field of antenna array systems. He has published numerous influential papers in top-tier international journals, with many being recognized as highly cited papers by Essential Science Indicators (ESI). His works have been cited over 15,000 times on Google Scholar, demonstrating his global academic impact. Wen has received numerous awards and holds nearly 30 patents. He was named a Highly Cited Researcher by Clarivate Analytics in both 2022 and 2024 and was elected an IEEE Fellow in 2024 for his contributions to deep learning technology in wireless communication systems. Additionally, he has been listed among the "World's Top 2% Scientists" for four consecutive years and was recently honored with the NSTC Academic Outstanding Research Award.
Before joining NSYSU, Wen worked at the Industrial Technology Research Institute and MediaTek Inc., making him a distinguished scholar capable of bridging communication theory and practical implementation. Beyond academia, he actively promotes technology transfer and industry-academia collaboration, leading over 20 non-government-funded industry-academia projects and three technology transfers. In 2018, he pioneered the concept of "Channel State Information (CSI) Feedback with Autoencoder," which has since inspired global research and influenced the development of 6G standards by the 3rd Generation Partnership Project (3GPP). His CsiNet autoencoder technology has even been incorporated into MATLAB toolkits, accelerating global applications.
Wen is dedicated to the theoretical performance analysis, signal processing, information security, and system prototyping of MIMO antenna array systems. He has innovatively applied machine learning and deep learning techniques to wireless communications, treating wireless propagation channels as images for processing. This approach led to the development of two major deep learning frameworks for CSI feedback and channel estimation in wireless systems, significantly improving wireless physical layer performance.
Additionally, Wen collaborates with MOE National Chair Professor Kin-Lu Wong to establish a MIMO testing platform at NSYSU, conducting multiple over-the-air (OTA) experiments. Their research findings are publicly shared and have assisted industry partners in developing similar testing environments. His work spans 5G/6G MIMO systems, millimeter-wave beam management, and Reconfigurable Intelligent Surface (RIS) technologies, laying a foundation for future communication technology advancements.
Upon receiving the award, Professor Wen expressed gratitude to NSTC for its recognition and support. He remarked that every successful experiment validation is an unforgettable moment, made possible by years of dedication and close teamwork. He extended special thanks to his research partners at NSYSU's Communications Technology Lab., as well as the university for providing a high-quality research environment and resources.
NSYSU highlighted Wen's commitment to nurturing talent, having mentored over 45 master's and five doctoral students, many of whom now hold key R&D positions in the global communications industry. He also serves as an editor for several leading international journals, chairs the IEEE Communications Society Tainan Chapter, and provides 5G and AI-related training for local enterprises such as ASE Group and China Steel Corporation. As the world enters the 6G era, Wen remains dedicated to advancing wireless communications research, fostering industry-academia collaboration, and cultivating talent to accelerate the adoption of critical technologies, ensuring Taiwan maintains its competitive edge in the global communications industry.
Professor Wen specializes in wireless communications and has made significant contributions to the field of antenna array systems. He has published numerous influential papers in top-tier international journals, with many being recognized as highly cited papers by Essential Science Indicators (ESI). His works have been cited over 15,000 times on Google Scholar, demonstrating his global academic impact. Wen has received numerous awards and holds nearly 30 patents. He was named a Highly Cited Researcher by Clarivate Analytics in both 2022 and 2024 and was elected an IEEE Fellow in 2024 for his contributions to deep learning technology in wireless communication systems. Additionally, he has been listed among the "World's Top 2% Scientists" for four consecutive years and was recently honored with the NSTC Academic Outstanding Research Award.
Before joining NSYSU, Wen worked at the Industrial Technology Research Institute and MediaTek Inc., making him a distinguished scholar capable of bridging communication theory and practical implementation. Beyond academia, he actively promotes technology transfer and industry-academia collaboration, leading over 20 non-government-funded industry-academia projects and three technology transfers. In 2018, he pioneered the concept of "Channel State Information (CSI) Feedback with Autoencoder," which has since inspired global research and influenced the development of 6G standards by the 3rd Generation Partnership Project (3GPP). His CsiNet autoencoder technology has even been incorporated into MATLAB toolkits, accelerating global applications.
Wen is dedicated to the theoretical performance analysis, signal processing, information security, and system prototyping of MIMO antenna array systems. He has innovatively applied machine learning and deep learning techniques to wireless communications, treating wireless propagation channels as images for processing. This approach led to the development of two major deep learning frameworks for CSI feedback and channel estimation in wireless systems, significantly improving wireless physical layer performance.
Additionally, Wen collaborates with MOE National Chair Professor Kin-Lu Wong to establish a MIMO testing platform at NSYSU, conducting multiple over-the-air (OTA) experiments. Their research findings are publicly shared and have assisted industry partners in developing similar testing environments. His work spans 5G/6G MIMO systems, millimeter-wave beam management, and Reconfigurable Intelligent Surface (RIS) technologies, laying a foundation for future communication technology advancements.
Upon receiving the award, Professor Wen expressed gratitude to NSTC for its recognition and support. He remarked that every successful experiment validation is an unforgettable moment, made possible by years of dedication and close teamwork. He extended special thanks to his research partners at NSYSU's Communications Technology Lab., as well as the university for providing a high-quality research environment and resources.
NSYSU highlighted Wen's commitment to nurturing talent, having mentored over 45 master's and five doctoral students, many of whom now hold key R&D positions in the global communications industry. He also serves as an editor for several leading international journals, chairs the IEEE Communications Society Tainan Chapter, and provides 5G and AI-related training for local enterprises such as ASE Group and China Steel Corporation. As the world enters the 6G era, Wen remains dedicated to advancing wireless communications research, fostering industry-academia collaboration, and cultivating talent to accelerate the adoption of critical technologies, ensuring Taiwan maintains its competitive edge in the global communications industry.
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