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Raymond Sheh

Senior Lecturer
Faculty of Science and Engineering
Curtin University
Australia

Biography

Dr Raymond Sheh is a Senior Lecturer at the Department of Computing, Curtin University. He specialises in the areas of Artificial Intelligence, Robotics and Cyber Security. He has been involved in robotics research since 2003. Dr Sheh established the Intelligent Robots Group at the Department of Computing, with the aim of developing ways of allowing robots and other intelligent systems to learn about their environments and tasks in a way that not only allows them to perform those tasks better, but to also explain their actions and justify their decisions. This ability has significant implications for issues of safety and trust between humans and intelligent systems. Dr Sheh's current activities include robotics for hazardous environments, surgical robotics and the application of robotic sensing technologies to industrial automation. The former includes a significant education and research outreach component to other universities and high schools through Dr Sheh's position on the Executive Committee of the International RoboCup Rescue Robot League competition. Prior to joining Curtin in 2013, Dr Sheh was with the US National Institute of Standards and Technology, developing standardised test methods for response robots, used in hazardous environments. He holds a PhD in Artificial Intelligence from The University of New South Wales, an Honours degree in Electronic and Communications Engineering from Curtin University and a degree in Computer Science from Curtin University.

Research Interest

Major threat vectors to enterprise networks Computer forensics Massed network attacks Viruses and malware Detecting and tracing hacking attacks

Publications

  • R Sheh, S Schwertfeger, A Visser. (2016) 16 Years of RoboCup Rescue. In KI-Kunstliche Intelligenz 30: 267-277.

  • Sammut C, R Sheh, A Haber, H Wicaksono (2015) "The robot engineer."

  • Monteath I, R Sheh, D Fick, RJK Khan, BW Robertson (2015) "Using tactile-exploration with the unscented kalman filter for high precision on-line shape and pose estimation of a 3D workpiece.

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