Dr. Yulian Cao is a Postdoctoral Fellow at the School of Aviation, The University of New South Wales (UNSW Sydney), Australia.
Dr. Cao received her Ph.D. degree in Logistics Technology & Equipment from Wuhan University of Technology, China in 2018. From 2012 to 2014, she worked as a visiting scholar at the Dept. of Industrial & Systems Engineering and the Integrated Brain Imaging Center (IBIC), Dept. of Radiology, Medicine School at the University of Washington (UW), Seattle, WA, USA.
Her research involves aviation logistics, evolutionary computation, industrial engineering, logistics & supply chain management, and medical data analytics. She has worked on business process simulation & optimization for container terminals since her undergraduate study in logistics engineering. Applying the Internet of Things (IoT) techniques to industry/manufacturing has been investigated since her postgraduate research. She has devoted herself to developing Evolutionary Algorithms (EAs) and exploring their applications to logistics and transportation problems for many years. Currently, she is motivated to explore and model real-life engineering problems in aviation, transportation, supply chain, and utilize swarm intelligent algorithms to solve those problems. Several advanced methodologies, e.g. machine learning, data mining, social network analysis, are utilized in her research. Researches are also carried out on the theory of these technologies to promote their development.