Kun Gao is an assistant professor and the leader of the Urban Mobility Systems research group at the Department of Architecture and Civil Engineering at Chalmers University of Technology. His research works on promoting sustainable mobility with a focus on electrification, shared mobility, and connected automation. Special interests are attached to establishing new approaches and tools for system planning, optimization, and evaluation of emerging transport systems leveraging big data and machine learning. He has published 40+ peer-reviewed journal articles in the field of connected and automated vehicles and smart and intelligent transportation in leading journals and 20+ conference papers/presentations. He secured research grants as PI of several projects in the areas of electric and intelligent transportation systems.

Yiming Bie is a professor of Transportation Engineering at the School of Transportation, Jilin University, China. He obtained his Ph.D. degree at Jilin University in June 2012. His research interests include public transportation operations, traffic control, and intersection design. He has authored or co-authored over 70 journal articles in top-tier journals such as Transportation Research Part C, Computer-Aided Civil and Infrastructure Engineering, and Journal of Transportation Engineering-ASCE. Recently, his research has focused on electric bus operations in cold regions. He is the principal investigator for two projects funded by the National Natural Science Foundation of China and a few projects from other funding agencies. In 2019, he was conferred the outstanding reviewer recognition by the Journal of Transportation Engineering-ASCE.

Dr. Robert Howlett is the executive chair of KES International, a non-profit organization that facilitates knowledge transfer and the dissemination of research results in areas including intelligent systems, sustainability, and knowledge transfer.  He is a visiting professor at Bournemouth University in the UK. His technical expertise is in the use of intelligent systems to solve industrial problems. He has been successful in applying artificial intelligence, machine learning, and related technologies to sustainability and renewable energy systems; condition monitoring, diagnostic tools, and systems; and automotive electronics and engine management systems.  His current research work is focused on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture.

Dr. Lakhmi C. Jain, Ph.D., M.E., B.E.(Hons), Fellow (Engineers Australia) is with the University of Technology Sydney, Australia, and Liverpool Hope University, UK. Professor Jain serves the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation, and teaming. Involving around 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the areas of KES.