Lee Sue Han received her Bachelor of Engineering (Hons) in Electronic from Multimedia University, Cyberjaya in year 2011 and her M.Sc. in Electrical and Electronic Engineering from Shinshu University in Japan in 2014. She received her Ph.D. in Computer Science and Information Technology from University of Malaya in 2018. After her Ph.D. graduation, she worked as a post-doctoral fellow in the interdisciplinary team of Pl@ntNet, in collaboration with The French agricultural research and international cooperation organization (CIRAD) and the France National Institute for Research in Digital Science and Technology (INRIA) ZENITH team for the project of automated plant health monitoring system. In April 2020, she joined Swinburne University of Technology as a full-time lecturer.
Her research interest focuses on the areas of computer vision, machine learning and deep learning. She works on learning algorithms that provide solutions to scientific problems for social and environmental goods. With her passion for bridging the gap between biology and the Artificial Intelligence era, she explores the potential of machine learning in plant biology. For example, she has demonstrated how discriminatory characteristics of leaves learned through deep learning correspond to hierarchical botanical definitions of leaf characteristics. She is also working closely with plant disease experts to study the links between human visual perception and machine vision when identifying discriminatory characteristics of infected plants.
Potential research higher degree candidates are welcome to enquire about postgraduate opportunities in the following areas/ projects:
Please contact Dr. Lee Sue Han for more information on the above topics.