World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
11043
World Ranking
5310
National Ranking
157

Overview

Nguyen H. Tran is affiliated with the University of Sydney in Australia and has a substantial research output primarily in the fields of Computer Science and Engineering. Their work spans across multiple subfields, including Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, and Information Systems.

The research topics covered by Nguyen H. Tran focus on issues related to privacy-preserving technologies in data, IoT and edge/fog computing, stochastic gradient optimization techniques, mobile crowdsensing and crowdsourcing, age of information optimization, UAV applications and optimization, and advanced wireless communication technologies.

Nguyen H. Tran has been involved in a diverse set of publications, including recent papers such as:

  • A Crowdsourcing Framework for On-Device Federated Learning (2020, IEEE Transactions on Wireless Communications)
  • Personalized Federated Learning with Moreau Envelopes (2020, arXiv (Cornell University))
  • Network Slicing: Recent Advances, Taxonomy, Requirements, and Open Research Challenges (2020, IEEE Access)
  • An Incentive Mechanism for Federated Learning in Wireless Cellular Networks: An Auction Approach (2021, IEEE Transactions on Wireless Communications)
  • Deep Learning Based Caching for Self-Driving Cars in Multi-Access Edge Computing (2020, IEEE Transactions on Intelligent Transportation Systems)

Nguyen H. Tran frequently publishes in several venues, with notable contributions made in:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Network and Service Management

Their collaborations include work with a range of co-authors who contribute to a significant portion of their research, such as:

  • Choong Seon Hong
  • Zhu Han
  • Shashi Raj Pandey
  • Minh N. H. Nguyen
  • Walid Saad

In addition to journal and conference publications, Nguyen H. Tran has also contributed to book publications, notably a work published by the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering titled Quality, Reliability, Security and Robustness in Heterogeneous Systems (2021).

Best Publications

  • Federated Learning over Wireless Networks: Optimization Model Design and Analysis

    Nguyen H. Tran;Wei Bao;Albert Zomaya;N H Nguyen Minh

  • Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

    Canh T. Dinh;Nguyen H. Tran;Minh N. H. Nguyen;Choong Seon Hong

  • Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism

    Latif U. Khan;Shashi Raj Pandey;Nguyen H. Tran;Walid Saad

  • Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

    Latif U. Khan;Ibrar Yaqoob;Nguyen H. Tran;S. M. Ahsan Kazmi

  • Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach

    Madyan Alsenwi;Nguyen H. Tran;Mehdi Bennis;Shashi Raj Pandey

  • A Crowdsourcing Framework for On-Device Federated Learning

    Shashi Raj Pandey;Nguyen H. Tran;Mehdi Bennis;Yan Kyaw Tun

  • Game Theory for Cyber Security and Privacy

    Cuong T. Do;Nguyen H. Tran;Choongseon Hong;Charles A. Kamhoua

  • Joint Communication, Computation, Caching, and Control in Big Data Multi-Access Edge Computing

    Anselme Ndikumana;Nguyen H. Tran;Tai Manh Ho;Zhu Han

  • Traffic-Aware and Energy-Efficient vNF Placement for Service Chaining: Joint Sampling and Matching Approach

    Chuan Pham;Nguyen H. Tran;Shaolei Ren;Walid Saad

  • Personalized Federated Learning with Moreau Envelopes

    Canh T. Dinh;Nguyen H. Tran;Tuan Dung Nguyen

  • eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach

    Madyan Alsenwi;Nguyen H. Tran;Mehdi Bennis;Anupam Kumar Bairagi

  • Network Slicing: Recent Advances, Taxonomy, Requirements, and Open Research Challenges

    Latif U. Khan;Ibrar Yaqoob;Nguyen H. Tran;Zhu Han

  • Deep Learning Based Caching for Self-Driving Cars in Multi-Access Edge Computing

    Anselme Ndikumana;Nguyen H. Tran;Do Hyeon Kim;Ki Tae Kim

  • An Incentive Mechanism for Federated Learning in Wireless Cellular Networks: An Auction Approach

    Tra Huong Thi Le;Nguyen H. Tran;Yan Kyaw Tun;Minh N. H. Nguyen

  • Cell-Free Massive MIMO for Wireless Federated Learning

    Tung Thanh Vu;Duy Trong Ngo;Nguyen H. Tran;Hien Quoc Ngo

  • Energy-Efficient Resource Management in UAV-Assisted Mobile Edge Computing

    Yan Kyaw Tun;Yu Min Park;Nguyen H. Tran;Walid Saad

  • Decentralized Computation Offloading and Resource Allocation for Mobile-Edge Computing: A Matching Game Approach

    Quoc-Viet Pham;Tuan Leanh;Nguyen H. Tran;Bang Ju Park

  • A proximal algorithm for joint resource allocation and minimizing carbon footprint in geo-distributed fog computing

    Cuong T. Do;Nguyen H. Tran;Chuan Pham;Md. Golam Rabiul Alam

  • Coexistence Mechanism Between eMBB and uRLLC in 5G Wireless Networks

    Anupam Kumar Bairagi;Md. Shirajum Munir;Madyan Alsenwi;Nguyen H. Tran

  • Federated Learning-Based Cognitive Detection of Jamming Attack in Flying Ad-Hoc Network

    Nishat I. Mowla;Nguyen H. Tran;Inshil Doh;Kijoon Chae

  • Resource Allocation for Ultra-Reliable and Enhanced Mobile Broadband IoT Applications in Fog Network

    Sarder Fakhrul Abedin;Md. Golam Rabiul Alam;S. M. Ahsan Kazmi;Nguyen H. Tran

  • Mode Selection and Resource Allocation in Device-to-Device Communications: A Matching Game Approach

    S. M. Ahsan Kazmi;Nguyen H. Tran;Walid Saad;Zhu Han

Frequent Co-Authors

Choong Seon Hong
Choong Seon Hong Kyung Hee University
Zhu Han
Zhu Han University of Houston
Walid Saad
Walid Saad Virginia Tech
Shaolei Ren
Shaolei Ren University of California, Riverside
Eui-Nam Huh
Eui-Nam Huh Kyung Hee University
Dusit Niyato
Dusit Niyato Nanyang Technological University
Long Bao Le
Long Bao Le Institut National de la Recherche Scientifique
Mehdi Bennis
Mehdi Bennis University of Oulu
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Mohamed Cheriet
Mohamed Cheriet École de Technologie Supérieure

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re exploring a future in Computer Science, closely related fields and flexible online programs can open up additional career opportunities. For example, electrical engineering is a popular path, and prospective students should consider electrical engineering online tuition costs when comparing program options.

Looking for a faster entry into tech careers? There are short certificate programs that pay well, offering targeted skills and immediate job prospects without the long-term commitment of a full degree.

For those interested in advancing quickly, several universities now offer some of the shortest masters degree programs online. These accelerated pathways let you earn a respected credential in as little as a year, making it easier to qualify for higher-level roles.

When considering further study, it’s worth researching the most in demand masters degrees, especially those aligned with technology trends. Choosing an in-demand specialization can help ensure long-term job security and advancement in competitive fields.

Best Scientists Citing Nguyen H. Tran

Trending Scientists