謝宏昀教授的個人資料 - Profile of Hung-Yun Hsieh

謝宏昀 Hung-Yun Hsieh

國立臺灣大學電機工程學系 教授
Professor, Department of Electrical Engineering, National Taiwan University

主要研究領域:

元宇宙、物聯網、整合感測與通訊技術、衛星與行動通信系統、網路科學與資訊安全

Major Research Areas:

Metaverse, IoT, ISAC, LEO SatCom, network science and cybersecurity

研究領域摘要:

行動網路及無線通信之系統效能與應用技術研究。目前進行中之研究計畫包含:

  1. 元宇宙與物聯網 (無線人體感測與 VR 視訊串流技術),
  2. 整合感測與通訊技術 (定位、追蹤、活動識別與成像),
  3. 次世代行動通信系統 (低軌衛星與物聯通信技術),
  4. 網路科學 (資料分析與網路安全)。

Research Summary:

Prof. Hsieh's research interests are in the general areas of wireless communications and mobile computing. His current research projects include: 

  1. metaverse and IoT,
    with focus on wireless human sensing and panoramic/volumetric video streaming;
  2. integrated sensing and communications (ISAC),
    with focus on localization, tracking, and RF imaging;
  3. next-generation communication systems,
    with focus on LEO satellite communications, machine-type communications (MTC), and 3GPP RAN2 technologies; 
  4. network science,
    with focus on network security, data analytics, and privacy.
Photo of Hung-Yun Hsieh

代表性著作 Selected Publication

  1. C.-Y. Chen and H.-Y. Hsieh, “Cross-Frame Resource Allocation with Context-Aware QoE Estimation for 360° Video Streaming in Wireless Virtual Reality,” IEEE Transactions on Wireless Communications, vol. 22, no. 11, pp. 7887, Nov. 2023
  2. H.-Y. Hsieh, T.-C. Juan, Y.-D. Tsai, and H.-C. Huang, “Minimizing Radio Resource Usage for Machine-to-Machine Communications through Data-Centric Clustering,” IEEE Transactions on Mobile Computing (TMC), vol. 15, no. 12, pp. 3072-3086, Dec. 2016
  3. H.-Y. Hsieh, Y.-E. Lin, and M.-J. Yang, “Weakest-Link Coalition: Further Investigation on Cooperative Interference-Aware Spectrum Sensing and Access,” IEEE Transactions on Mobile Computing (TMC), vol. 15, no. 3, pp. 774-788, Mar. 2016
  4. H.-Y. Hsieh, C.-H. Chang, and W.-C. Liao, “Not Every Bit Counts: Data-Centric Resource Allocation for Correlated Data Gathering in Machine-to-Machine Wireless Networks,” ACM Transactions on Sensor Networks (TOSN), vol. 11, no. 2, pp. 38:1-38:33, Feb. 2015