Quang Ha

Associate Professor

University of Sydney

Australia

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About

Quang Ha is an Associate Professor at the University of Technology Sydney, Australia. His research areas encompass artificial intelligence applications in urban air quality monitoring, deep learning techniques for health assessments, and advanced modeling for unmanned aerial vehicles. Recent articles highlight his contributions to volumetric estimation of construction waste and the development of visualization tools for air pollution forecasting.

Articles (22)

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2021

Collaborators (5)

Huynh Anh Duy Nguyen

Lecturer

AUSTRALIA

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Wojciech Giernacki

Assistant Professor

Poznan University of Technology

POLAND

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Sai Ho Ling

Senior Lecturer

University of Sydney

AUSTRALIA

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Ricardo P. Aguilera

Associate Professor

University of Sydney

AUSTRALIA

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Hoang Trung Le

University of Sydney

AUSTRALIA

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Quang Ha

Research Interests

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About

Articles (22)

Voice-Based Assessment of Extrapyramidal Symptoms Using Deep Learning

Design and Performance Evaluation of Nonlinear Model-Predictive Control for 3-D Ground Target Tracking With Fixed-Wing UAVs

Vision-based volumetric estimation of localized construction and demolition waste

Dependable Dempster-Shafer Inference Framework for Urban Air Quality Monitoring

A Deep-Learning-Based Visualization Tool for Air Pollution Forecasting

PADRE – A Repository for Research on Fault Detection and Isolation of Unmanned Aerial Vehicle Propellers

Monitoring and estimation of urban emissions with low-cost sensor networks and deep learning

Adaptive fractional-order integral fast terminal sliding mode and fault-tolerant control of dual-arm robots

Hybrid self-supervised learning-based architecture for construction progress monitoring

Deep-learning based visualization tool for air pollution forecast

Fermat-Weber location particle swarm optimization for cooperative path planning of unmanned aerial vehicles

Intelligent path planning for civil infrastructure inspection with multi-rotor aerial vehicles

Robotic autonomous systems for earthmoving equipment operating in volatile conditions and teaming capacity: a survey

Special issue on recent advances in field and service robotics: handling harsh environments and cooperation

Long Short-Term Memory Bayesian Neural Network for Air Pollution Forecast

A Bidirectional Self-Rectifying Network With Bayesian Modeling for Vision-Based Crack Detection

Computer vision-based construction progress monitoring

A Bidirectional Self-Rectifying Network with Bayesian Modelling for Vision-Based Crack Detection

Game Theory-Based Optimal Cooperative Path Planning for Multiple UAVs

Wireless Sensor Network Dependable Monitoring for Urban Air Quality

Iterative Learning Sliding Mode Control for UAV Trajectory Tracking

Game theory–based bilevel model for multiplayer pavement maintenance management

Collaborators (5)

Huynh Anh Duy Nguyen

Wojciech Giernacki

Sai Ho Ling

Ricardo P. Aguilera

Hoang Trung Le

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