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Xianghao Alex YU

Prof. Xianghao Alex YU, 喻翔昊

  • YEUNG-P6302

Accepting PhD Students

20152026

Research activity per year

Personal profile

Author IDs

ORCID iD: 0000-0002-8874-8712
Scopus Author ID: 57189044606
Google Scholar Profile: PDiT3OsAAAAJ

Impact

Qualifications (Brief)

BEng(SEU), PhD(HKUST), Alexander von Humboldt Research Fellow, SMIEEE

Biography

Dr. Xianghao Yu received his B.Eng. degree in information engineering from Southeast University, Nanjing, China, in 2014, and his Ph.D. degree in electronic and computer engineering from The Hong Kong University of Science and Technology (HKUST), Hong Kong, China, in 2018.

From 2018 to 2020, he was an Alexander von Humboldt Research Fellow with the Institute for Digital Communications, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Erlangen, Germany. He is currently an Assistant Professor with the Department of Electrical Engineering, City University of Hong Kong (CityU), Hong Kong. Before joining CityU, he was a Research Assistant Professor with the Department of Electronic and Computer Engineering, HKUST. His research interests include millimeter-wave communications, intelligent reflecting surface-assisted communications, and wireless artificial intelligence.

Dr. Yu has co-authored the book Stochastic Geometry Analysis of Multi-Antenna Wireless Networks (Springer, 2019). Dr. Yu received the IEEE Global Communications Conference (GLOBECOM) 2017 Best Paper Award, the 2018 IEEE Signal Processing Society Young Author Best Paper Award, the IEEE GLOBECOM 2019 Best Paper Award, and the 2023 IEEE Communications Society Leonard G. Abraham Prize. He was also recognized as an Exemplary Reviewer of the IEEE Transactions on Wireless Communications in 2017 and 2018, and an Exemplary Reviewer of the IEEE Transactions on Communications in 2021 and 2022.

Position(s) Available

We are looking for self-motivated Postdoc/Ph.D. to work together on 6G research directions, including but not limited to the following:

. Integrated sensing and communications (ISAC)
. THz ultra-massive MIMO communications
. Near-field wireless communications and localization
. Intelligent reflecting surface (IRS)-aided communications
. Machine learning for communications
. Distributed learning

Students with strong backgrounds in wireless communications, signal processing, mathematical optimization, and machine learning are encouraged to apply. If you are interested in joining us, please send your CV, transcript, and ranking to [email protected]. A post in Chinese can also be found here.

Research Interests/Areas

Mobile Communications, Wireless Systems, Signal Processing

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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Collaborations from the last five years

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