Rate My Professor Jun Jo

Jun Jo is an Associate Professor in the School of Information and Communication Technology at Griffith University on the Gold Coast Campus, a role he has held since 15 April 1996. He earned his PhD from the University of Sydney in 1994, with research focused on Artificial Intelligence, particularly symbolic reasoning. Prior to Griffith University, he was a Postdoctoral Research Fellow at the Key Centre of Design Computing at the University of Sydney. As Director of the Griffith Robotics Lab and General Chair of the International Robot Olympiad Committee, Jo has made notable contributions to robotics education and competitions. His career spans nearly three decades at Griffith, where he has supervised student projects, including a team that received recognition at the Queensland iAwards in 2013 for a smartphone-controlled autonomous vehicle.

Jo's research specializations include satellite data analysis, medical data analysis, ubiquitous robotics, and e-learning. He has co-authored or edited key publications such as Robot Intelligence Technology and Applications 7: Results from the 10th International Conference on Robot Intelligence Technology and Applications (2023, Springer), A Comprehensive Review of Deep Learning-Based Crack Detection: From Inception to the Current State-of-the-Art (2022, Applied Sciences, cited over 200 times), An adaptive teaching system using ubiquitous technology (2004, BT Technology Journal, cited over 500 times), Optimal Grasping Strategy for Robots With a Parallel Gripper Based on Feature Sensing of 3D Object Model (2022, IEEE Access), and Deploying Robot-Led Activities for People with Dementia at Retirement Villages (2024, Journal of the American Medical Directors Association). His scholarly output includes approximately 197 publications and over 3,700 citations on Google Scholar, underscoring his influence in intelligent systems, data analysis, and robotics applications for healthcare and education.