报告主题：Applied intelligent sensor and multimedia system and their applications in food science and AgTech

报 告 人：Ivan Lee

报告时间：2023年6月11日 上午9：30-10：30

报告地址：计算机大楼A411

报告摘要：

Advances in intelligent sensors and multimedia systems supported by machine learning have found practical applications such as surveillance, monitoring, and quality inspection. These technologies can also be utilised in AgTech, assisting farmers to produce products that address the increasing demand of quality food. This presentation will begin with an overview of UniSA's past and recent work on intelligent sensor and multimedia systems. Then, specific AgTech projects, including almond quality and toxic analysis using RGB and hyperspectral imaging, machine-learning based tomato yield prediction, vision-based snail/slug tracking for pest control, and synchrotron-based analysis of wheat grain micronutrient and soil-root interactions.

报告人简介：

Ivan Lee is an Associate Professor at University of South Australia, and a REDI Fellow. He received BE, MCom, ME, and PhD degrees from the University of Sydney, Australia. He was a software development engineer at Cisco Systems, a software engineer at Remotek Corporation, and an Assistant Professor at Ryerson University. His research interests include intelligent sensor, multimedia system, and data analytics. He has served as a Chief Investigator of 28 funded projects in Australia and in Canada. His research findings have been disseminated in over 150 peer-reviewed publications. He was a recipient of The Vannevar Bush Best Paper Honorable Mention of 2020 Jointed Conference on Digital Libraries (JCDL); the Lockheed Martin Best Paper Award of 2015 SPIE Defense + Security, Automatic Target Recognition XXV; and the Best Paper Award of 2007 Pacific-Rim Conference on Multimedia. He currently serves on the committee of National Computational Merit Allocation Scheme (NCMAS) in Australia.