Dr Jie Zhang is currently an associate professor at the School of Chemistry, Monash University and a Chief Investigator at the Australian Research Council Centre of Excellence for Electromaterials Science (ACES). Dr Zhang is an electrochemist by training who has developed a solid background in both the experimental and theoretical aspects of electrochemistry during his research career. He has also obtained a broad experience in other research areas, such as biomedical engineering, materials engineering and nanotechnology. He has published 6 book chapters, 7 international patents and more than 240 refereed journal articles. His work has received more than 9600 citations with an H index of 53 based on the Google Scholar. More information about his publication can be found at:

https://scholar.google.com.au/citations?user=_W3sW9IAAAAJ&hl=en

Dr Zhang has received numerous prestigious fellowships and awards, including:

• Australian Postdoctoral Fellowship Industry, the Australian Research Council, 2003 – 2006;
• Future Fellowship, the Australian Research Council, 2009 – 2013;
• Bond Medal, Electrochemistry Division, the Royal Australian Chemical Institute, 2012;
• Robert Cattrall Early Career Medal, Analytical and Environmental Chemistry Division, the Royal Australian Chemical Institute, 2012;
• Monash Research Accelerator Award, Monash University, 2013-2014.

The Monash Electrochemistry Group, jointly led by Dr Jie Zhang and Prof Alan Bond, consists of 15 – 20 researchers. The group has strong capability in the development of fundamental theories and instrumentation to advance modern electrochemistry. The Monash Electrochemistry Group has hosted many distinguished visitors and short term visiting academics/students from around the world. The current research activities in the group include:

• Electrochemical activation of small molecules, such as carbon dioxide, nitrogen, water, alcohol, in the context of sensing and energy applications;
• Design and synthesis of novel nanocomposite catalysts for pharmaceutical and energy applications;
• Development of artificial intelligent methods for quantitative voltammetric data analysis and application of the methodologies to study proton-coupled electron transfer processes that are important in biology and energy conversion.