Dr Andy Song
Andy Song is an academic specialized in Artificial Intelligence. He received his Ph.D. degree in AI from RMIT University and became a faculty member with the School of Science of RMIT since. His current research interests include evolutionary learning and optimization, especially for complex real-world problems, such as industry optimization, texture analysis, motion detection, time series analysis, and AI applications in intelligent transport systems. He collaborates extensively with industry partners on establishing cutting-edge techniques which integrate machine intelligence, mobile computing, and crowd sensing, to benefit transportation, logistics and warehouse industry. He is the lead investigator of this warehouse optimization project funded by Digital Futures Fund, and a key investigator of a series of research and development projects. Dr. Song is a local co-chair of IJCAI’17, the top AI conference in the world, and an OECD forum partner. He has been a B20 Taskforce Member since 2015 providing policy recommendations to the annual G20 summit.