Dr Ravinesh Deo, is an Australia-China Young Scientist Award recipient, IEEE Senior Member and Senior Lecturer. Dr Deo’s research develops decision-systems for energy and environment and has published over 130 peer reviewed papers (including 100 journal papers). Designing data smart systems with heuristic and metaheuristic algorithms and improving predictive systems is central to his research with interest in deep learning, convolutional neural and long- short-term memory network. Dr Deo’s professional practice is through scientific bodies: IEEE, Institute of Physics, Australian Mathematical Society, Australasian Association for Engineering Education, Australia Global Alumni and American Geophysical Union. Dr Deo’s research was highly recognized through Queensland Government U.S. Smithsonian Research Fellowship 2018, four Publication Excellence Prizes (2016-2018), Japan Society for Promotion of Science Fellowship (2017), Head of Department Award, Chinese Academy of Science Presidential Fellowship (2016) and Australian Endeavour Fellowship (2015). Dr Deo has a BSc, with a Gold Medal, MSc from University of Canterbury and PhD from University of Adelaide supervised by Professor Jianchun Mi (Jamie) (now at Peking University) and Professor Graham Nathan (Adelaide).
Dr Deo’s postdoc work at The University of Queensland was published in Global Change Biology, Geophysical Research Letters and a highlight in Nature, investigated climate impacts of land cover change to show deforestation as a trigger for drought. Dr Deo undertook knowledge exchange programs in Japan, Europe, China, USA, Singapore and Canada. As leader of Environmental Modelling and Simulation Group, Dr Deo mentors over 15 postgraduate students and has published in Renewable and Sustainable Energy Reviews (Scopus Impact 9.05) and Applied Energy (7.20). Supervising masters and doctoral programs, Dr Deo’s research is recognised internationally, with Google Scholar citation exceeding 1,900 (Hirsch Index 22). Through recent YSEP Program, Dr Deo will collaborate with Chinese researchers in artificial intelligence-based energy systems.