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20212026
most citedQuantum Federated Learning Experiments in the Cloud with Data Encoding

1 citations · 1 across the 18 of their papers we have counts for

collaborators

19 papers

cs.AR2026

A Modular Event-Driven Software Architecture for Open-Source Industrial IoT Edge Gateways

Pei Yu Wong, Thien Tran, Hudyjaya Siswoyo Jo +1

Integrating legacy industrial machinery into modern cloud infrastructures poses a significant software engineering challenge. Industrial Internet of Things (IIoT) deployments frequ…

cs.OS2026

Edge-Based QoS-Aware Adaptive Task Placement: A Closed-Loop Control in Multi-Robot Systems

Thien Tran, Jonathan Kua, Thuong Hoang +3

Multi-robot systems (MRS) increasingly offload compute-intensive perception tasks to edge nodes to meet strict time-sensitive Quality-of-Service (QoS) constraints. However, static…

cs.NI2026

Assisting Mission-Critical Traffic Flows with Active Queue Management in Industrial Internet of Things

Shuo Wang, Jonathan Kua, Jiong Jin +3

Mission-critical Industrial Internet of Things (IIoT) traffic flows require bounded network latency and jitter guarantees to ensure the safe functioning of critical industrial infr…

cs.NI2026

Small Language Model-based Control for BBR over Low Earth Orbit Satellite Internet

Rakshitha De Silva, Shiva Raj Pokhrel, Jonathan Kua

Low Earth Orbit (LEO) satellite Internet introduces rapid path variability, intermittent capacity shifts, and non-terrestrial delay dynamics that challenge transport-layer congesti…

cs.NI2026

Unveiling TCP BBR Dominance in Starlink Internet: Experimental Insights and Analysis

Rakshitha De Silva, Shiva Raj Pokhrel, Jonathan Kua

This experimental study delivers a global assessment of Google's Bottleneck Bandwidth and Round-trip propagation time-version 3 (BBR-v3) Congestion Control Algorithm (CCA) over Spa…

cs.HC2026

A Four-Tier Communication Architecture and Sim-to-Real Validation of a Graphical Open-Source Platform for Robotic Engineering Education

Thien Tran, Khang Duong, Minh Tran +3

The persistent challenge in scaling authentic manipulator education within university laboratories is a structural dichotomy: commercial digital twins are often cost-prohibitive an…

cs.DC2026

DAG-Based QoS-Aware Dynamic Task Placement for Networked Multi-Stage Control Pipelines

Thien Tran, Jonathan Kua, Thuong Hoang +3

Current Physical AI (PAI) relies heavily on closed-loop visual-servoing pipelines, whose perception and planning stages may become computationally intensive onboard due to complex…

cs.NI2025

TCP BBR Performance over Wi-Fi~6: AQM Impacts and Cross-Layer Insights

Shyam Kumar Shrestha, Shiva Raj Pokhrel, Jonathan Kua

We evaluate TCP BBRv3 on Wi-Fi 6 home networks under modern AQM schemes using a fully wireless testbed and a simple cross-layer model linking Wi-Fi scheduling, router queueing, and…

cs.NI2025

Understanding BBRv3 Performance in AQM-Enabled WiFi Networks

Shyam Kumar Shrestha, Jonathan Kua, Shiva Raj Pokhrel

We present a modular experimental testbed and lightweight visualization tool for evaluating TCP congestion control performance in wireless networks. We compare Google's latest Bott…

cs.NI2025

Intelligent Spectrum Management in Satellite Communications

Rakshitha De Silva, Shiva Raj Pokhrel, Jonathan Kua +1

Satellite Communication (SatCom) networks represent a fundamental pillar in modern global connectivity, facilitating reliable service and extensive coverage across a plethora of ap…

cs.RO2025

Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning

Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Jonathan Kua +3

Enabling multiple autonomous machines to perform reliably requires the development of efficient cooperative control algorithms. This paper presents a survey of algorithms that have…

cs.DC2025

Leveraging Cloud-Fog Automation for Autonomous Collision Detection and Classification in Intelligent Unmanned Surface Vehicles

Thien Tran, Quang Nguyen, Jonathan Kua +4

Industrial Cyber-Physical Systems (ICPS) technologies are foundational in driving maritime autonomy, particularly for Unmanned Surface Vehicles (USVs). However, onboard computation…

cs.DC2025

CFTel: A Practical Architecture for Robust and Scalable Telerobotics with Cloud-Fog Automation

Thien Tran, Jonathan Kua, Minh Tran +3

Telerobotics is a key foundation in autonomous Industrial Cyber-Physical Systems (ICPS), enabling remote operations across various domains. However, conventional cloud-based telero…

eess.SY2025

Cloud-Fog Automation: The New Paradigm towards Autonomous Industrial Cyber-Physical Systems

Jiong Jin, Zhibo Pang, Jonathan Kua +4

Autonomous Industrial Cyber-Physical Systems (ICPS) represent a future vision where industrial systems achieve full autonomy, integrating physical processes seamlessly with communi…

cs.NI2025

Distilling Large Language Models for Network Active Queue Management

Shiva Raj Pokhrel, Deol Satish, Jonathan Kua +1

The growing complexity of network traffic and demand for ultra-low latency communication require smarter packet traffic management. Existing Deep Learning-based queuing approaches…

cs.NI2024

Adapting Large Language Models for Improving TCP Fairness over WiFi

Shyam Kumar Shrestha, Shiva Raj Pokhrel, Jonathan Kua

The new transmission control protocol (TCP) relies on Deep Learning (DL) for prediction and optimization, but requires significant manual effort to design deep neural networks (DNN…

cs.LG2024★ 1 cited

Quantum Federated Learning Experiments in the Cloud with Data Encoding

Shiva Raj Pokhrel, Naman Yash, Jonathan Kua +2

Quantum Federated Learning (QFL) is an emerging concept that aims to unfold federated learning (FL) over quantum networks, enabling collaborative quantum model training along with…

cs.CV2023

Deakin RF-Sensing: Experiments on Correlated Knowledge Distillation for Monitoring Human Postures with Radios

Shiva Raj Pokhrel, Jonathan Kua, Deol Satish +4

In this work, we propose and develop a simple experimental testbed to study the feasibility of a novel idea by coupling radio frequency (RF) sensing technology with Correlated Know…

cs.DC2021

Internet of Things in Space: A Review of Opportunities and Challenges from Satellite-Aided Computing to Digitally-Enhanced Space Living

Jonathan Kua, Chetan Arora, Seng W. Loke +2

Recent scientific and technological advancements driven by the Internet of Things (IoT), Machine Learning (ML) and Artificial Intelligence (AI), distributed computing and data comm…