Information Technology

Umair Qureshi

Senior Lecturer, Information Technology
umair.qureshi@jcu.edu.au

Chao Chen

Adjunct Senior Lecturer
chao.chen@jcu.edu.au

Dmitry Konovalov

Senior Lecturer
dmitry.konovalov@jcu.edu.au

Trina Myers

Adjunct Professor
trina.myers@my.jcu.edu.au

Iti Chaturvedi

Lecturer, Information Technology
iti.chaturvedi@jcu.edu.au

Euijoon Ahn

Senior Lecturer, Information Technology
euijoon.ahn@jcu.edu.au

Ickjai Lee

Professor - Promotional Chair
ickjai.lee@jcu.edu.au

Kranthi Addanki

Lecturer, Information Technology
kranthi.addanki@jcu.edu.au

Lindsay Ward

Senior Lecturer
lindsay.ward@jcu.edu.au

An Artificial Intelligence Enabled Automatic Detection of Estuarine Crocodiles in Queensland Waterways Using Digital Video

Euijoon Ahn - Information Technology

22 Jan 2025 - 22 Mar 2027

This is a collaborative project between James Cook University (JCU) and the Department of Environment, Science, and Innovation (DESI) to develop an artificial intelligence (AI) based software that leverages digital video for the detection of estuarine crocodiles (C. Porosus) in Queensland's waterways. Building on previous research and utilizing extensive footage from Hartley’s Crocodile Adventures, this project aims to create an AI-based pilot detection system operational in both day and night settings to enhance safety around high-risk waterways.

Develop an autonomous AI vehicle damage assessment tool (Old ID 26683)

Ickjai Lee - Information Technology

29 Nov 2019 - 27 Nov 2020

Development of a practical means and method for automated detection, identification and categorisation of vehicle panel damage using AI, deep learning and selected semantic segmentation networks. Semi-Supervised methods will be investigated to minimize the requirements on hand made training data (archived damaged vehicle images) and research will be conducted to determine the possibility to build a minimum viable product (MVP) directly onto the existing platform architecture.

Develop an autonomous AI vehicle damage assessment tool (Phase II) (Old ID 27223)

Ickjai Lee - Information Technology

04 May 2021 - 04 May 2022

Improvement upon the project 1 developed method for automated detection, identification and categorisation of vehicle panel damage by developing a user interface and video vision. Semantic segmentation and deep learning networks will be further refined and developed for the next evolution/iteration of the software platform.