Dr. Linh Nguyen
Senior Lecturer, Mechatronics Engineering
Linh Nguyen received a PhD degree in robotics from the world leading Robotics Institute at the University of Technology Sydney (UTS), Australia in 2015. He then held the Research Fellow positions at Nanyang Technological University, Singapore, and UTS, Australia until early 2020. He is currently a Senior Lecturer at Federation University, Australia.
Dr Nguyen’s research interests include informative path planning, robotics, artificial intelligence, mobile sensor networks, and machine perception. He has secured millions of dollars in competitive research funding, including the highly prestigious grants funded by the Australian and State Governments. He is also the author of more than 80 peer-reviewed publications, mostly in top-ranked journals and conferences in his field. His updated publications can be found in Google Scholar.
Dr Nguyen was a recipient of the Best Paper Awards from the IEEE Innovations in Intelligent Systems and Application conferences in 2021 and 2023, respectively.
A Low-Cost Deep-Learning-Based System for Grading Cashew Nuts
Connectivity-preserving distributed informative path planning for mobile robot networks
A Depth-Based Hybrid Approach for Safe Flight Corridor Generation in Memoryless Planning
Analysis of Microalgal Density Estimation by Using LASSO and Image Texture Features
Causal Deep Operator Networks for Data-Driven Modeling of Dynamical Systems
Depth-based Sampling and Steering Constraints for Memoryless Local Planners
Distributed formation trajectory planning for multi-vehicle systems
Efficient Future Waste Management: A Learning-Based Approach with Deep Neural Networks for Smart System (LADS)
Real-time distributed trajectory planning for mobile robots
Secure- and Privacy-Preserving Policies for Distributed Cooperative Control of Multiple Vehicle Systems
Simple linear iterative clustering based low-cost pseudo-LiDAR for 3D object detection in autonomous driving
Time-minimum motion handling of open liquid-filled objects using sparse sequential quadratic programming
A low-cost system for monitoring pH, dissolved oxygen and algal density in continuous culture of microalgae
An Efficient Adaptive Fuzzy Hierarchical Sliding Mode Control Strategy for 6 Degrees of Freedom Overhead Crane
Collision-free Minimum-time Trajectory Planning for Multiple Vehicles based on ADMM
Least square and Gaussian process for image based microalgal density estimation
Multistep Predictions for Adaptive Sampling in Mobile Robotic Sensor Networks Using Proximal ADMM
Adaptive Dynamic Programming based Control Scheme for Uncertain Two-Wheel Robots
The paper addresses the problem of effectively controlling a two-wheel robot given its inherent...
A Design of Haptic Hand Exoskeleton for Virtual Reality Applications
ADMM-based Adaptive Sampling Strategy for Nonholonomic Mobile Robotic Sensor Networks
This paper discusses the adaptive sampling problem in a nonholonomic mobile robotic sensor...
A Low-Cost Efficient System for Monitoring Microalgae Density Using Gaussian Process
An adaptive hierarchical sliding mode controller for autonomous underwater vehicles
An Efficient Adaptive Sampling Approach for Mobile Robotic Sensor Networks using Proximal ADMM
An Efficient Approach for SIMO Systems using Adaptive Fuzzy Hierarchical Sliding Mode Control
The paper addresses the problem of efficiently controlling a class of single input multiple...
An efficient force-feedback hand exoskeleton for haptic applications
In this paper, a study on wearable exoskeleton devices which are capable of delivering sensation...
An Efficient Multi-Vehicle Routing Strategy for Goods Delivery Services
An Inspection Robot for Detecting and Tracking Welding Seam
D-Optimal Design for Information Driven Identification of Static Nonlinear Elements
Mobile Robotic Sensors for Environmental Monitoring using Gaussian Markov Random Field
This paper addresses the issue of monitoring spatial environmental phenomena of interest...
Multimodal Sensor Selection for Multiple Spatial Field Reconstruction
Multivariate versus Univariate Sensor Selection for Spatial Field Estimation
Adaptive neural network based dynamic surface control for uncertain dual arm robots
The paper discusses an adaptive strategy to effectively control nonlinear manipulation motions of...
A Dynamic Surface Controller based on Adaptive Neural Network for Dual Arm Robots
The paper introduces an adaptive controller to efficiently manipulate the dual arms of a robot...
An Efficient 3-D Model for Remaining Wall Thicknesses of Cast Iron Pipes in Nondestructive Testing
Over 50% of global pipes have been made of cast iron, and most of them are aging. In order to...
Consistency of control performance in 3d overhead cranes under payload mass uncertainty
The paper addresses the problem of effectively and robustly controlling a 3D overhead crane...
Efficient Evaluation of Remaining Wall Thickness in Corroded Water Pipes Using Pulsed Eddy Current Data
In order to analyse failures of an ageing water pipe, some methods such as the loss-of-section...
Efficient Sensor Deployments for Spatio-Temporal Environmental Monitoring
This paper addresses the problem of efficiently deploying sensors in spatial environments, e.g.,...
Mobility based network lifetime in wireless sensor networks: A review
Increasingly emerging technologies in micro-electromechanical systems and wireless communications...
Acoustic Sensor Networks and Mobile Robotics for Sound Source Localization
Localizing a sound source is a fundamental but still challenging issue in many applications,...
Adaptive fuzzy observer based hierarchical sliding mode control for uncertain 2D overhead cranes
This paper proposes a new approach to robustly control a 2D under-actuated overhead crane system,...
Adaptive Neural Network-Based Backstepping Sliding Mode Control Approach for Dual-Arm Robots
The paper introduces an adaptive strategy to effectively control a nonlinear dual-arm robot under...
An Efficient Adaptive Hierarchical Sliding Mode Control Strategy Using Neural Networks for 3D Overhead Cranes
In this paper, a new adaptive hierarchical sliding mode control scheme for a 3D overhead crane...
Can a Robot Hear the Shape and Dimensions of a Room?
Knowing the geometry of a space is desirable for many applications, e.g. sound source...
Gaussian Mixture Marginal Distributions for Modelling Remaining Metallic Pipe Wall Thickness
Rapidly estimating the remaining wall thickness (RWT) is paramount for the non-destructive...
Multilevel B-Splines-Based Learning Approach for Sound Source Localization
In this paper, a new learning approach for sound source localization is presented using ad hoc...
Review of pulsed-eddy-current signal feature-extraction methods for conductive ferromagnetic material-thickness quantification
Thickness quantification of conductive ferromagnetic materials has become a common necessity in...
Adaptive sampling for spatial prediction in environmental monitoring using wireless sensor networks: A review
The paper presents a review of the spatial prediction problem in the environmental monitoring...
A solution to the inverse pulsed eddy current problem enabling 3D profiling
When a Pulsed Eddy Current (PEC) sensor assesses a metallic surface (i.e., a wall of finite...
Gaussian markov random fields for localizing reinforcing bars in concrete infrastructure
Sensor technologies play a significant role in monitoring the health conditions of urban sewer...
Sensor failure detection and faulty data accommodation approach for instrumented wastewater infrastructures
In wastewater industry, real-time sensing of surface temperature variations on concrete sewer...
Adaptive Placement for Mobile Sensors in Spatial Prediction under Locational Errors
This paper addresses the problem of driving robotic sensors for an energy-constrained mobile...
Designing a pulsed eddy current sensing set-up for cast iron thickness assessment
Pulsed Eddy Current (PEC) sensors possess proven functionality in measuring ferromagnetic...
Design of a lock-in amplifier integrated with a coil system for eddy-current non-destructive inspection
Eddy-current non-destructive inspections of conductive components are of great interest in...
Efficient approach for maximizing lifespan in wireless sensor networks by using mobile sinks
Recently, sink mobility has been shown to be highly beneficial in improving network lifetime in...
Efficient spatio-temporal sensor deployments: A smart building application
The paper addresses the problem of efficiently deploying sensors in spatial environments, e.g....
Improved signal interpretation for cast iron thickness assessment based on pulsed eddy current sensing
This paper presents a novel signal processing approach for computing thickness of ferromagnetic...
Predictive analytics for detecting sensor failure using autoregressive integrated moving average model
Sensors play a vital role in monitoring the important parameters of critical infrastructure....
Spatio-temporal environmental monitoring for smart buildings
The paper addresses the problem of efficiently monitoring environmental fields in a smart...
Information-Driven Adaptive Sampling Strategy for Mobile Robotic Wireless Sensor Network
This brief addresses the issue of monitoring physical spatial phenomena of interest using...
Soil organic matter estimation in precision agriculture using wireless sensor networks
In order to achieve the ever increasing quantity and quality demands for agricultural products,...
Spatial Sensor Selection via Gaussian Markov Random Fields
In renewable energy systems, fluctuating outputs from energy sources and variable power demand...
A Bayesian fusion model for space-time reconstruction of finely resolved velocities in turbulent flows from low resolution measurements
The study of turbulent flows calls for measurements with high resolution in both space and time....
Space-time reconstruction of finely resolved velocities of turbulent flows from low resolution measurements
A model is developed to reconstruct the High-Temporal-High-Spatial (HTHS) resolution velocities...
Mobile robotic wireless sensor networks for efficient spatial prediction
This paper addresses the issue of monitoring physical spatial phenomena of interest utilizing the...
Spatially-distributed prediction with mobile robotic wireless sensor networks
This paper presents a distributed spatial estimation and prediction approach to address the...
Spatial prediction of hydrogen sulfide in sewers with a modified Gaussian process combined mutual information
This paper proposes a data driven machine learning model for spatial prediction of hydrogen...
Locational optimization based sensor placement for monitoring Gaussian processes modeled spatial phenomena
This paper addresses the sensor placement problem associated with monitoring spatial phenomena,...
Mutual information based data selection in Gaussian processes for people tracking
It is the general perception that models describing human motion patterns enhance tracking even...
Sensor selection based routing for monitoring Gaussian processes modeled spatial phenomena
This paper addresses the trade-off between the sensing quality and the energy consumption in the...
Simulated annealing based approach for near-optimal sensor selection in Gaussian Processes
This paper addresses the sensor selection problem associated with monitoring spatial phenomena,...