升学考研 伦敦玛丽女王大学Yuanwei Liu老师招收通信计算机博士生/联合培养博士生

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研究方向:联邦学习/强化学习/深度学习/迁移学习, 6G智能通信, 可重构智能表面(RIS/IRS),无人机通信,通信感知一体化 (ISaC),感知与视觉(computer vision)融合等.

招生专业:Electronic Engineering and Computer Science

入学时间:2023年秋季 (含招收联合培养博士生)

地理位置:英国London


Yuanwei Liu老师为QMUL通信计算机科学(EECS)的副教授(Associate Professor), director of (Artificial Intelligence and Big Data Enhanced Communication) ABC@QM 实验室, 2021全球高被引科学家 (QMUL主页宣传信息:http://eecs.qmul.ac.uk/news-and-events/news/items/dr-yuanwei-liu-named-one-of-the-worlds-most-influential-researchers.html), IEEE 高级会员, 获2020 IEEE ComSoc EMEA杰出研究员奖, 2020 IEEE 信号处理协会(SPCC)早期杰出成就奖,2021 IEEE 通信理论技术协会(CTTC)早期杰出成就奖,入选斯坦福大学公布的世界Top 2% 科学家名单(2020,2021)。

Yuanwei Liu任通信顶级期刊IEEE Communication Letter高级编委(Senior Editor),IEEE TWC和IEEE TCOM的编委,IEEE JSAC,IEEE JSTSP的客座编辑,IEEE VTC 2019的联合宣传主席(Publicity Co-Chair),IEEE GLOBECOM 2022联合分会主席,为多个IEEE workshop和IEEE会议的session Chair。Yuanwei Liu已发表IEEE期刊会议论文200余篇,包括130+ IEEE期刊论文 (Proceeding of the IEEE, IEEE JSAC, etc),一本专著和3个专著章节。 他受邀做过60多个国际学术报告及tutorial(详见其个人主页)。9700+的Google Scholar引用率(h-index 45). 主持学术/工业项目累计超过100万英镑。

刘老师会亲自指导学生,学生成果显著。其团队博后,博士生及联合培养博士生来自北大,北邮,北交,帝国理工,新加坡南洋理工等国内外知名院校,具体见其个人主页如下。

个人主页:http://www.eecs.qmul.ac.uk/~yuanwei

谷歌学术主页:https://scholar.google.com/citations?user=FxLf7ZAAAAAJ&hl=en

领英主页:https://www.linkedin.com/in/yuanwei-liu-2a6a8a75/



QMUL为罗素盟校,是一所研究型大学(EECS 方向REF排名全英第七),拥有9位诺贝尔奖获得者。


感兴趣的同学可直接邮件联系刘老师!
邮箱: yuanwei.liu@qmul.ac.uk


以下为Prof. Yuanwei Liu文章中的摘出的英文bio

Bio: Yuanwei Liu (S’13–M’16–SM’19, http://www.eecs.qmul.ac.uk/~yuanwei) received the B.S. and M.S. degrees from the Beijing University of Posts and Telecommunications in 2011 and 2014, respectively, and the PhD degree in electrical engineering from the Queen Mary University of London, U.K., in 2016. He was with the Department of Informatics, King’s College London, from 2016 to 2017, where he was a Post-Doctoral Research Fellow. He has been a Senior Lecturer (Associate Professor) with the School of Electronic Engineering and Computer Science, Queen Mary University of London, since Aug. 2021, where he was a Lecturer (Assistant Professor) from 2017 to 2021. His research interests include non-orthogonal multiple access, 5G/6G networks, machine learning, and stochastic geometry.

Yuanwei Liu is listed as a Highly Cited Researcher by Clarivate in 2021. He received IEEE ComSoc Outstanding Young Researcher Award for EMEA in 2020. He received the 2020 Early Achievement Award of the IEEE Signal Processing and Computing for Communications (SPCC) Technical Committee,2021 Early Achievement Award of IEEE Communication Theory Technical Committee. He received the Exemplary Reviewer Certificate of IEEE Wireless Communications Letters in 2015, IEEE Transactions on Communications in 2016 and 2017, and IEEE Transactions on Wireless Communications in 2017 and 2018. Yuanwei Liu is currently a Senior Editor of IEEE Communications Letters, an Editor of the IEEE Transactions on Wireless Communications and the IEEE Transactions on Communications. He serves as the leading Guest Editor for IEEE JSAC special issue on Next Generation Multiple Access, a Guest Editor for IEEE JSTSP special issue on Signal Processing Advances for Non-Orthogonal Multiple Access in Next Generation Wireless Networks. He has served as the Publicity Co-Chair for VTC 2019-Fall. He is the leading contributor for “Best Readings for Non-Orthogonal Multiple Access (NOMA)” and the primary contributor for “Best Readings for Reconfigurable Intelligent Surfaces (RIS)”. He serves as the chair of Special Interest Group (SIG) in SPCC Technical Committee on the topic of signal processing Techniques for next generation multiple access (NGMA), the vice-chair of SIG Wireless Communications Technical Committee (WTC) on the topic of Reconfigurable Intelligent Surfaces for Smart Radio Environments (RISE), and the Tutorials and Invited Presentations Officer for Reconfigurable Intelligent Surfaces Emerging Technology Initiative.
 
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