Peter X Zhong

Biography

Xu Zhong completed the Ph.D. degree in Engineering from the University of Melbourne in 2014. During his Ph.D., he investigated a novel plant water-stress sensor using laser speckle analysis techniques. He developed a prototype sensor customized for leaf measurements and novel image processing algorithms which improved both the reliability and robustness of speckle analysis. From 2014 to 2016, Xu Zhong was a postdoctoral research fellow at the Department of Infrastructure Engineering, University of Melbourne, working on the Resilient Information Systems for Emergency Response (RISER) project. His research focused on collating and processing new spatiotemporal data streams, such as automated sensor networks and human user generated content, to monitor fire hazard and the propagation of firefront in real-time. He investigated the spatiotemporal behavior of bushfire, developing online spatiotemporal algorithms, and building information systems that can transform the data streams into useful bushfire information. In 2016, He joined IBM Research Australia as a staff researcher in the Physical Analytics team. His current research interests lie in the areas of decision science, disaster management, wireless sensor networks, spatiotemporal streams processing, crowdsourcing data analysis, points pattern recognition, and online GIS. Xu Zhong completed the Ph.D. degree in Engineering from the University of Melbourne in 2014. During his Ph.D., he investigated a novel plant water-stress sensor using laser speckle analysis techniques. He developed a prototype sensor customized for leaf measurements and novel image processing algorithms which improved both the reliability and robustness of speckle analysis. From 2014 to 2016, Xu Zhong was a postdoctoral research fellow at the Department of Infrastructure Engineering, University of Melbourne, working on the Resilient Information Systems for Emergency Response (RISER) project. His research focused on collating and processing new spatiotemporal data streams, such as automated sensor networks and human user generated content, to monitor fire hazard and the propagation of firefront in real-time. He investigated the spatiotemporal behavior of bushfire, developing online spatiotemporal algorithms, and building information systems that can transform the data streams into useful bushfire information. In 2016, He joined IBM Research Australia as a staff researcher in the Physical Analytics team. His current research interests lie in the areas of decision science, disaster management, wireless sensor networks, spatiotemporal streams processing, crowdsourcing data analysis, points pattern recognition, and online GIS.

Research Interest

Decision science, disaster management, wireless sensor networks, spatiotemporal streams processing, crowdsourcing data analysis, points pattern recognition, and online GIS