junpoto

Associate Professor Jun Jo earned his PhD from the University of Sydney in 1994, where his research focused on Artificial Intelligence, particularly in symbolic reasoning and knowledge-based systems. As part of his PhD, he developed an autonomous design system called EDGE. Following his doctorate, Dr. Jo served as a Postdoctoral Research Fellow at the Key Centre of Design Computing at the University of Sydney before joining Griffith University in 1996.

Dr. Jo has led numerous research projects across diverse fields, applying data analysis with satellite, IoT, and drone data to areas such as bushfire detection, medical image analysis, robotics, UAVs, and eLearning. He has published over 150 refereed papers, and his research team explores cutting-edge AI technologies, including advanced machine learning models such as transformers and LLMs, as well as symbolic reasoning techniques like knowledge graphs. Dr. Jo has organised the International Robot Olympiad in Australia twice, in 2006 and 2010. Currently, he serves as the Chair of the International Robot Olympiad Committee (IROC) and the President of the Australian Robotics Association (ARA).

Positions

2025: General Chair, the 27th International Robot Olympiad (IRO), Southport, Australia
2022: General Chair, The Robot Intelligence Technology and Applications (RiTA) 2022 conference, Gold Coast Australia
2021, 2022, 2023, 2025: Organiser, Australia-Korea Space Forum (AKSF), sponsored by AKF (DFAT), Austrade (DFAT), Korean Embassy in Australia.
2021: Finalist, Australian Space Award (Innovator of the Year), Australian Space Connect 
2016: General co-chair, RiTA 2016: the 5th International Conference on Robot Intelligence Technology and Applications, Beijing, Dec 11-14, 2016.
2016: International Fellowship from the Korean Biomedical Research Centre, Korea
2014: International Fellowship from National Taiwan Normal University, Taiwan
Since 2014: Chair, World Innovative Technology (WIT) Challenge, Australia
Since 2008: President, Australian Robotics Association
2003~2023: Director, Robotics and Computer Games (RnG) Lab
2010: General Chair, the 12th International Robot Olympiad (IRO), Tellebudgera, Australia
2009: International Fellowship, Queensland Government, Australia
2006: General Chair, the 8th International Robot Olympiad (IRO), Southport, Australia
1997~2011: Principal, Korean Language and Culture School, Southport, Gold Coast

Projects and Grants (as a Chief Investigator or a member)

2026: “AegisLittoral: AI-Enhanced Hyperspectral ISR System for Subsurface and Surface Threat Detection in Contested Coastal Zones”, Queensland Defence Science Alliance, $280,000
2024: “Proactive Carbon Monitoring with AI and Digital Twins”, CSIRO-DFAT Aus4Innovation Partnership Grant, $894,658
2024~2025: Electromagnetic Wave Imaging (EMI) Based on Magnetic Fields Detection, Electronics and Telecommunications Research Institute (ETRI), Korea
2022: the Australian Space Manufacturing Network (ASMN) project ($52million)
2003~2022: Australia-Korea Foundation Grant ($83,000)
2021: Foreign object detection (FOD) using machine learning techniques,
from Electronics and Telecommunications Research Institute (ETRI), Korea 
2021: Collaboration on Satellite Data Analysis using Artificial Intelligence
with Korean Aerospace Research Institute (KARI) and Korean Space Industry ($350,000) 
2012: GURIP grant, Griffith University ($50,000)
2020: Spotlight Project: Small Satellite Development Griffith University ($400,000)
2018: MRI image analysis for abnormality detection KAIST ($70,000)
2014: Drone-based gas pipeline monitoring system, Adani Mining Grant ($770,000) 
2014: Drone-based bridge crack inspection, SIEMA ($50,000)
2014~2015: Google CS4HS ($35,000)
2012~2015: IEEE CIS grant ($15,000)
2006: Intelligent Robotics, Korean National Strategic Research Project $4m
Jointly with the KAIST Intelligent Robotics research group

Contact Details

Postal Address: School of Information and Communication Technology, Griffith University, QLD Australia 4222
Email Address: j.jo@griffith.edu.au

Recent Activities (Jun Jo and the research team)

Our Core Research Identity

We specialise in advanced data analytics using hybrid AI methodologies
We develop and apply Explainable AI (XAI) for transparent, trustworthy decision-making
We integrate cognitive reasoning + deep learning to move beyond black-box models
Efficient AI architectures: fine-tuned LLMs and SLMs optimised for edge devices, real-time systems, and cost-efficient deployment.
Bridging research, engineering, and deployment

Research Domains

Satellite Intelligence: 항공우주연구소와 space회사들과 함께 위성/드론 데이터분석, 산불탐지, 재해등 (SIA, Contec), 북한 저수지 저수량 측정, 위성영상 management system
UAV Sensing Systems: Edge AI 이용한 대기환경감시 (항우연), 해안 감시 (호주국방부), 광산지대 관찰 (Adani)
Medical & Health AI: skin cancer (NLM), 자살의도 탐지 (Cybella), 어린이 정신분석데이터 시스템 (호주보건부)
Cognitive Robotics: 지능형 로봇제어 (KAIST)
AI Education Platforms: 많은 논문출판
Smart Cities & Smart Farms: 베트남 탄호아주에 적용 (호주정부기금)
Autonomous Car: 드론영상기반 도로상황분석 (솔탑), CCTV를 분석하여 비정상 운전패턴분석