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Dr Linh Nguyen

Senior Lecturer, Mechatronics Engineering

School of Engineering, IT and Phys. Sci.

Section/Portfolio:

Engineering

Location:

Gippsland Campus, Online

Biography

Dr LinhNguyen has expertise backed by solid experience in the field of active learning and sequential decision-making for robotics and sensors predicting spatial phenomena. Dr Nguyen’s research interests also include robotics, adaptive estimation and sensor perception.

Linhwas involved in the multi-million dollar research projects funded by Sydney Water Corporation to develop the autonomous systems for non-destructive evaluation of aged water mains and predicting their critical conditions. HeisVisiting Fellow at UTS Robotics Institute from 2020-2021 and has served as an Editorial Board Member of Artificial Intelligence Evolution journal, as well as session chair and active reviewer for many prestigious international journals and conferences.

Before joining Federation University Australia as Senior Lecturer in Mechatronics Engineering, Linh worked for the Nanyang Technological University, Singapore and the world-leading Robotics Institute at the University of Technology Sydney, where he received his PhD in robotics.

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...

ADMM-based Adaptive Sampling Strategy for Nonholonomic Mobile Robotic Sensor Networks

This paper discusses the adaptive sampling problem in a nonholonomic mobile robotic sensor...

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...

Mobile Robotic Sensors for Environmental Monitoring using Gaussian Markov Random Field

This paper addresses the issue of monitoring spatial environmental phenomena of interest...

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...

  • Conference Proceedings

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...

  • Conference Proceedings

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...

  • Conference Proceedings

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...

  • Conference Proceedings

Simulated annealing based approach for near-optimal sensor selection in Gaussian Processes

This paper addresses the sensor selection problem associated with monitoring spatial phenomena,...