Viet Quoc Pham

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Assistant Professor

Trinity College Dublin

Ireland

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About

Viet Quoc Pham is an Assistant Professor at Trinity College Dublin, Ireland. His research focuses on advanced communication systems, machine learning applications in the Internet of Things, and optimization techniques for network performance. Recent publications highlight his work on modulation classification, edge computing, and resource optimization in wireless networks.

Recent Grants

Grant: Close

Edge-assisted Activity Recognition using Skeletal Representation and DL for Video Surveillance

Open Date: 2022-01-01

Close Date: 2024-12-01

Grant: Close

Privacy Enhancing Connected Cars in 5G and Beyond

Open Date: 2019-02-01

Close Date: 2024-02-01

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Collaborators (18)

Dinh Nguyen

Assistant Professor

University of Alabama in Huntsville

UNITED STATES

Viet Quoc Pham

Research Interests

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About

Recent Grants

Articles (29)

Quantum-Annealing-Based Sum Rate Maximization for Multi-UAV-Aided Wireless Networks

Transformer Model Embedding Dual Stream for Modulation Classification of Short Signal Samples

Learning-Based QoE Optimization for Green Edge Computing Networks With Aerial Servers

Outage, Capacity, and Error Performance of Downlink RSMA-Based Systems: Analysis and Resource Optimization

DDPG-E2E: A Novel Policy Gradient Approach for End-to-End Communication Systems

Distortion Resilience for Goal-Oriented Semantic Communication

Revisiting LARS for Large Batch Training Generalization of Neural Networks

Latency Minimization for STAR-RIS-Aided Federated Learning Networks With Wireless Power Transfer

Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey

Incentive Mechanism and Semantic Communication for Edge Computing-Assisted Metaverse

VT-MCNet: High-Accuracy Automatic Modulation Classification Model Based on Vision Transformer

A Block-Structured Optimization Approach for Data Sensing and Computing in Vehicle-Assisted Edge Computing Networks

A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions

Energy Minimization for IRS-Aided Wireless Powered Federated Learning Networks With NOMA

A joint communication and computation design for semantic wireless communication with probability graph

Improved Waveform Classification for Integrated Radar-Communication 6G Systems via Convolutional Neural Networks

Enhancing RIS-Aided Two-Way Full-Duplex Communication With Nonorthogonal Multiple Access

Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics

On Performance of Downlink THz-Based Rate-Splitting Multiple-Access (RSMA): Is it Always Better Than NOMA?

Deep learning for intelligent demand response and smart grids: A comprehensive survey

Guest Editorial Special Issue on Aerial Computing for the Internet of Things (IoT)

Artificial intelligence for the metaverse: A survey

THz-Enabled UAV Communications Using Non-Orthogonal Multiple Access

Secure-Enhanced Federated Learning for AI-Empowered Electric Vehicle Energy Prediction

Efficient Convolutional Networks for Robust Automatic Modulation Classification in OFDM-Based Wireless Systems

Hybrid Long- and Short-Packet Based NOMA Systems With Joint Power Allocation and Beamforming Design

AI-enabled mm-Waveform Configuration for Autonomous Vehicles with Integrated Communication and Sensing

Blockchain for the metaverse: A Review

Towards 6G: Key technological directions

Collaborators (18)

Dinh Nguyen

Daniel Benevides da Costa

Hiroo Sekiya

Mikio Hasegawa

Paul Fortier

Kandaraj Piamrat

Symeon Chatzinotas

Octavia Dobre

Pardeep Kumar

Yan Kyaw Tun

Ming Zeng

Nam Hoai Chu

Chamitha De Alwis

Diep N. Nguyen

Huynh Nguyen

Thanh Thi Nguyen

SeonGeun Jeong

Eryk Dutkiewicz

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