Patent: A pipe walking robot ZL 95 1 00242.2 IPCN. B25J11/00, 1999. Awards: Women’s Agenda Leadership Awards Finalist (2023), CSU Research Excellence Awards (Highly Commended) (2022), Faculty Research Awards, CSU (2021), Academia Awards of Women in IT, Cisco (2019), SCM Research Excellence Award, CSU (2018), IoT Spartans Challenge 2nd place, Libelium (2017), Instructor Excellence Award, Cisco (2017), Cisco Networking Academy Achievement Award, Cisco (2017), Instructor Excellence Award, Cisco (2016).
Research Experience
Involved in car number plate recognition for highway traffic monitoring, currently focusing on AI and computer vision for smart agriculture.
Education
MSc degree in Automation of Industry from Taiyuan University of Technology; PhD in Computing of Sciences from Faculty of Information Technology, University of Technology, Sydney.
Background
Research Interests: Computer vision, Image analysis, Human action recognition, Document/Character analysis, Machine learning and Robotics, Network security. Professional Field: Computing Sciences. Profile: Lihong Zheng is a professor at the School of Computing and Mathematics, Charles Sturt University. She is an applied research leader and academic who is always keen to develop innovative solutions for real-time applications. Starting from industry robotics, she was involved in car number plate recognition for highway traffic monitoring. She is now focusing on artificial intelligence and computer vision for smart agriculture.