6月22日下午，IEEE ComSoc WTC 空天地一体化通信系列专题报告（第一期）通过线上会议的形式举办，报告主讲人是新加坡国立大学Vincent Y. F. Tan教授，题目为“On the Maximum Size of Block Codes Subject to a Distance Criterion” （距离准则约束下分组码的最大码长）。共有相关领域50余位师生参加了报告。周琳老师主持了报告会。

在报告中，Tan教授首先介绍了分组编码以及距离约束与编码速率的关系，并回顾了经典的Gilbert-Varshamov (GV) 界。随后，Tan教授深入浅出地讲解了构造任意距离约束下最优编码方案的方法，并针对离散与连续信源的情形讲解了详细过程。Tan教授进一步对主要结果进行了二阶（Second-order）以及大偏差（Large Deviation）渐进分析，从不同角度揭示了该最优编码方案的性能。

在提问环节中，Tan教授耐心、细致地回答了在场师生提出的诸多问题，与参会者进行了深入交流与探讨。

【报告人简介】

Vincent Y. F. Tan (S'07-M'11-SM'15) was born in Singapore in 1981. He received the B.A. and M.Eng. degrees in electrical and information science from Cambridge University in 2005, and the Ph.D. degree in electrical engineering and computer science (EECS) from the Massachusetts Institute of Technology (MIT) in 2011. He is currently a Dean’s Chair Associate Professor with the Department of Electrical and Computer Engineering and the Department of Mathematics, National University of Singapore (NUS). His research interests include information theory, machine learning, and statistical signal processing.

Dr. Tan is an elected member of the IEEE Information Theory Society Board of Governors. He was an IEEE Information Theory Society Distinguished Lecturer from 2018 to 2019. He received the MIT EECS Jin-Au Kong Outstanding Doctoral Thesis Prize in 2011, the NUS Young Investigator Award in 2014, the Singapore National Research Foundation (NRF) Fellowship (Class of 2018), the Engineering Young Researcher Award in 2018, and the NUS Young Researcher Award in 2019. A dedicated educator, he was awarded the Engineering Educator Award in 2020 and 2021 and the (university level) Annual Teaching Excellence Award in 2022. He is currently serving as a Senior Area Editor for the IEEE Transactions on Signal Processing and as an Associate Editor in Machine Learning and Statistics for the IEEE Transactions on Information Theory.