World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
82
Citations
30945
World Ranking
951
National Ranking
16

Electronics and Electrical Engineering

D-Index
81
Citations
29869
World Ranking
485
National Ranking
17

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to heterogeneous and wireless networks

Overview

Tony Q. S. Quek is affiliated with the Singapore University of Technology and Design in Singapore. Their research primarily spans the fields of engineering and computer science, with a focus on electrical and electronic engineering, computer networks and communications, aerospace engineering, artificial intelligence, and computer vision and pattern recognition.

The scientist's research topics involve advanced wireless communication technologies, optimization of advanced MIMO systems, age of information optimization, privacy-preserving technologies in data, IoT and edge/fog computing, UAV applications and optimization, as well as cooperative communication and network coding.

Some recent publications include:

  • Federated Learning With Differential Privacy: Algorithms and Performance Analysis, 2020, IEEE Transactions on Information Forensics and Security
  • On Safeguarding Privacy and Security in the Framework of Federated Learning, 2020, IEEE Network
  • Multi-Armed Bandit-Based Client Scheduling for Federated Learning, 2020, IEEE Transactions on Wireless Communications
  • Hybrid Satellite-UAV-Terrestrial Networks for 6G Ubiquitous Coverage: A Maritime Communications Perspective, 2021, IEEE Journal on Selected Areas in Communications
  • Federated Learning With Non-IID Data in Wireless Networks, 2021, IEEE Transactions on Wireless Communications

Frequent co-authors include Howard H. Yang, Zhengchuan Chen, Yaru Fu, Kun Guo, and Xijun Wang.

The scientist has been published often in venues such as arXiv (Cornell University), IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, and the IEEE Internet of Things Journal.

In 2018, Tony Q. S. Quek was awarded the IEEE Fellow distinction for contributions to heterogeneous and wireless networks.

Best Publications

  • Federated Learning With Differential Privacy: Algorithms and Performance Analysis

    Kang Wei;Jun Li;Ming Ding;Chuan Ma

  • Enhanced intercell interference coordination challenges in heterogeneous networks

    D Lopez-Perez;I Guvenc;M Kountouris

  • Enhanced Inter-Cell Interference Coordination Challenges in Heterogeneous Networks

    David Lopez-Perez;Ismail Guvenc;Marios Kountouris

  • Offloading in Mobile Edge Computing: Task Allocation and Computational Frequency Scaling

    Thinh Quang Dinh;Jianhua Tang;Quang Duy La;Tony Q. S. Quek

  • Energy Efficient Heterogeneous Cellular Networks

    Yong Sheng Soh;T. Q. S. Quek;M. Kountouris;Hyundong Shin

  • Sensor OpenFlow: Enabling Software-Defined Wireless Sensor Networks

    Tie Luo;Hwee-Pink Tan;T. Q. S. Quek

  • Scheduling Policies for Federated Learning in Wireless Networks

    Howard H. Yang;Zuozhu Liu;Tony Q. S. Quek;H. Vincent Poor

  • Throughput Optimization, Spectrum Allocation, and Access Control in Two-Tier Femtocell Networks

    Wang Chi Cheung;T. Q. S. Quek;M. Kountouris

  • Resource Allocation for Cognitive Small Cell Networks: A Cooperative Bargaining Game Theoretic Approach

    Haijun Zhang;Chunxiao Jiang;Norman C. Beaulieu;Xiaoli Chu

  • Cognitive Network Interference

    A Rabbachin;T Q S Quek;Hyundong Shin;M Z Win

  • Cooperative Caching and Transmission Design in Cluster-Centric Small Cell Networks

    Zheng Chen;Jemin Lee;Tony Q. S. Quek;Marios Kountouris

  • Radio Resource Management for Ultra-Reliable and Low-Latency Communications

    Changyang She;Chenyang Yang;Tony Q. S. Quek

  • Small Cell Networks: Deployment, PHY Techniques, and Resource Management

    Tony Q. S. Quek;Ismail Gven;Marios Kountouris

  • On Safeguarding Privacy and Security in the Framework of Federated Learning

    Chuan Ma;Jun Li;Ming Ding;Howard H. Yang

  • Analysis of UWB transmitted-reference communication systems in dense multipath channels

    T.Q.S. Quek;M.Z. Win

  • Cross-Layer Optimization for Ultra-Reliable and Low-Latency Radio Access Networks

    Changyang She;Chenyang Yang;Tony Q. S. Quek

  • Heterogeneous cellular networks with spatio-temporal traffic: Delay analysis and scheduling

    Yi Zhong;Tony Q. S. Quek;Xiaohu Ge

  • Coordinated Multipoint Transmission with Limited Backhaul Data Transfer

    Jian Zhao;T. Q. S. Quek;Zhongding Lei

  • Optimizing Resource Allocation in the Short Blocklength Regime for Ultra-Reliable and Low-Latency Communications

    Chengjian Sun;Changyang She;Chenyang Yang;Tony Q. S. Quek

  • Multi-Armed Bandit Based Client Scheduling for Federated Learning

    Wenchao Xia;Tony Q. S. Quek;Kun Guo;Wanli Wen

  • Lightweight and Practical Anonymous Authentication Protocol for RFID Systems Using Physically Unclonable Functions

    Prosanta Gope;Jemin Lee;Tony Q. S. Quek

  • Wireless Channel Models for Maritime Communications

    Jue Wang;Haifeng Zhou;Ye Li;Qiang Sun

  • Heterogeneous Cellular Networks with Spatio-Temporal Traffic: Delay Analysis and Scheduling

    Yi Zhong;Tony Q. S. Quek;Xiaohu Ge

  • Federated Learning with Differential Privacy: Algorithms and Performance Analysis

    Kang Wei;Jun Li;Ming Ding;Chuan Ma

Frequent Co-Authors

Hyundong Shin
Hyundong Shin Kyung Hee University
Mugen Peng
Mugen Peng Beijing University of Posts and Telecommunications
H. Vincent Poor
H. Vincent Poor Princeton University
Shi Jin
Shi Jin Southeast University
Min Sheng
Min Sheng Xidian University
Wei Yu
Wei Yu University of Toronto
Osvaldo Simeone
Osvaldo Simeone Northeastern University
Sumei Sun
Sumei Sun Institute for Infocomm Research

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