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Wireless Communications

  1. Edge Resource Allocation.

  2. Massive MIMO.

  3. RIS.

  4. NOMA.

  5. Channel Error Control Coding.

  6. Physical Layer Network Coding.

  7. Physical Layer Security.

Deep Learning

  1. Robotic perception systems.

  2. mmWave for Health Monitoring.

  3. Automotive Object Detection, Identification, and Tracking.

  4. Medical Image Processing.

  5. Digital Agriculture.

  6. Road Detection and Extraction in Remote Areas via Remote Sensing.

  7. Smart Sensing: Computer-Vision-Based Discharge and Depth Monitoring in Water Channels.

  8. Early Prediction of Age-related Neurodegenerative Diseases.

Welcome to discuss your project ideas with me.

Projects & Grants: Text


CSIRO - CSIRO's Industry PhD Program - Hiring with a 4 years generous PhD scholarship!!!

  • Project: Auto-reforestation Robot Perception System for Complex Tropical Terrain

  • Funding: $236,000

  • Year: 2024, 2025, 2026, 2027

  • Team: Tao Huang

  •  About: Planting trees in tropical regions is crucial for mitigating climate change, preserving biodiversity, regulating water systems, protecting soil, and providing economic benefits. However, the terrain in tropical regions is complex, with an uneven surface, slippery nature, dense vegetation, and deep slopes, posing challenges for conventional tree-planting robots. In this project, we will leverage cutting-edge AI and sensor technologies to develop next-generation robot perception systems while considering the robustness, adaptability, and flexibility required for complex tropical terrain. The new robot will improve safety standards and create high-value jobs in operation and maintenance. The project will have far-reaching environmental, economic, and social benefits.

Sandpt to Seed (S2S) Grant, James Cook University

  • Project: Detection of animals with low-cost radar

  • Funding: $48,468

  • Year: 2023

  • Team: Myles Menz, Bronson Philippa, Tao Huang.

  • About: This project will investigate the potential of millimeter-wave imaging radar for the detection of animals in airspace. These radar systems have been developed for the automotive industry but have yet to be assessed for their capability as a detection tool for biological targets such as insects, birds, and bats. There is a huge market gap for low-cost biological sensors in industries such as agriculture, environmental management and conservation, and human health. This project will provide a proof of concept that can then be used to generate further funding and a start-up to further develop this product, with the intention to deploy a network of units as a sensor array.

Northern Australia Regional Digital Health Collaborative (NARDHC)

  • Project: Fusion of wearable and environmental sensors for remote monitoring of health and well-being in elderly populations

  • Funding: $48,063 

  • Year: 2023

  • Team: Stephanie Baker, Euijoon Ahn, Tao (Kevin) Huang, Bronson Philippa, Caryn West, and Christopher Rouen.

  • About:  This project aims to improve healthcare access for aged care in remote areas of Australia by developing an intelligent home health monitoring prototype. The system will use wearable sensors, mmWave technology, and AI to monitor vital signs, physical activity, and environmental conditions. It will analyze the data collected and provide early warning alerts to medical professionals and caregivers. By demonstrating the feasibility of this innovative solution, the project seeks to improve the quality of life for older adults in remote areas and provide peace of mind to caregivers and family members.

Australian Research Council Discovery Project 

  • Project: Low-cost Sensing Methods and Hybrid Learning Models

  • Funding: $450,000

  • Year: 2022, 2023, 2024

  • Team:  Professor Wei Xiang; Professor Yi-Ping Phoebe Chen; Dr. Tao (Kevin) Huang; Dr. Peng Cheng; Dr. Tran Khoa Phan; Professor Lajos Hanzo.

  • About:  This project aims to revolutionize the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine-learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.

JCUS-JCUA Cross-Campus Collaboration Grant

  • Project: Lightweight Blockchain Development for Healthcare IoT

  • Funding amount: $4911.12

  • Year: 2022

  • Team: Jusak Jusak (JCUS), Tao Huang (JCUA), and Steven Kerrison(JCUS). 

Sandpt to Seed (S2S) Grant, James Cook University

  • Project: Design low-cost computer-vision-based discharge sensing technology

  • Funding: $79,500

  • Year: 2020

  • Team: Tao Huang and Jason Holdsworth.

Other CSE@JCU Internal Grants

  1. Tao Huang, “Dataset Collection for Multi-modal Perception System in Complex Tropical Terrain,” College of Science and Engineering Adopt an End-User Research Facilitation Scheme, James Cook University, $6000, 2023.

  2. Tao Huang, “Enhancing Perception Capabilities through Cooperative Sensor Fusion and Information Sharing in Multi-Agent Systems,” College of Science and Engineering ECR/New staff Research Support Scheme, $4000, James Cook University, 2023.

  3. Tao Huang, “Deep learning-based radar perception for autonomous vehicle/robot,” Earlier Career Researcher Research Support Scheme, James Cook University, $4500, 2022.

  4. Tao Huang, “Real-time Live Coral Health Monitoring System,” Adopt an End-User Research Facilitation Scheme, James Cook University, $5000, 2021.

  5. Tao Huang, “Low-cost sensing and deep learning-based water quality monitoring,” Earlier Career Researcher Research Support Scheme, James Cook University, $4000, 2021. 

Grants before 2020

  • Wei Xiang, Tao Huang, Lei Lei, and Mostafa Rahimi Azghadi, “Internet of Things and Big Data Analytics for Cairns Marine,” Australian Government Department of Industry, Innovation and Science, Innovations Connections Program, $103,109, May 2019 - May 2020.

  • Wei Xiang, Hanshe Lim, Niels Munksgaard, Lynne Powell, and Tao Huang, “Improving the water quality of the Great Barrier Reef through the use of smart sensors and the IoT,” Australian Government Department of Industry, Innovation and Science, $360,146, Jan. 2018 - June 2019.

  • Tao Huang, “Improving the throughput of the wireless data link in Australia rural area”, Endeavour Australia Cheung Kong Research Fellowship, Australian Government Department of Education, $24,500, Apr. 2014 - Sept. 2014.  

Welcome to contact me for joint grant applications.

Projects & Grants: Text
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