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Ozbilen, Basar

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Basar is currently a postdoctoral researcher in the 3 Revolutions Future Mobility (3RFM) program of the Institute of Transportation Studies at the University of California, Davis (ITS-Davis). His research centers around travel behavior, emerging technologies, transportation equity, transportation and health, and land-use planning. His studies have been published in major transportation journals, including Transportation Research Part A (TR-A), Sustainable Cities and Society (SCS), and Travel Behaviour and Society (TBS). He has also presented at numerous conferences in the US, Brazil, Turkey, Portugal, and the Netherlands. Basar obtained a Ph.D. degree in City and Regional Planning from The Ohio State University. He received his Master’s degree in City Planning and Bachelor’s degree in City and Regional Planning, both from the Middle East Technical University, Ankara, Turkey.

Gulhare, Siddhartha

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Siddhartha Gulhare is a postdoctoral researcher in the 3 Revolutions Future Mobility Program at the Institute of Transportation Studies at the University of California, Davis. His interest lies in data driven decision making, which includes – Data modelling (discrete choice analysis and artificial neural networks); Data analytics; and Data visualization. He is currently working with travel survey data and with other passive data sources such as streetlight data. Before coming to UC Davis, Siddhartha received his PhD in transportation engineering from University of Florida, where his PhD thesis focused on extracting travel behavior from Machine Learning models. He received his master’s degree in transportation engineering from Indian Institute of Technology Bombay and bachelor’s degree in civil engineering from National Institute of Technology Calicut, India.

Zhao, Jingyuan

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Jingyuan Zhao is currently a postdoctoral research fellow in the Energy Futures (EF) Research Program at the Institute of Transportation Studies (ITS), University of California Davis (UCD). The EF Program is aimed primarily at developing models of the transportation systems within the United States and internationally and conducting comprehensive research and analysis from the aspects of technology, economics and environment.

He was an international student in the group of Prof. Andrew F. Burke and received his Ph.D. in 2018, focusing on experimental and computational modelling to investigate the actual performance of electrochemical systems from conventional carbon-based EDLCs to hybrid systems and ultimately to batteries. He then joined BYD Co. Ltd., where he leads a team of senior engineers in developing state-of-the-art technologies for AI-powered Cloud-BMS, aiming to improve the battery safety and longer the health of lithium-ion batteries during the system’s operational lifetime. Meanwhile, he is a postdoctoral research fellow at the computer science and technology, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS). His research interests focus on electrochemical energy storage systems (EESS) and their applications towards the electrification of transportation and the zero-emission target. The concentrated interest in these studies is driven by the renewable and green applications in transportation and industry.