Dr David Tedjopurnomo

Biography

Dr. David Alexander Tedjopurnomo is a Postdoctoral Research Fellow in Data Science and AI. His main research focus is on deep learning applications for spatiotemporal data. In particular, he has worked on the topic of traffic prediction, an important area that helps ease congestion and reduce carbon emissions; similar trajectory search, which is a cornerstone task in many geospatial data applications such as ride-sharing, traffic analytics, and trajectory clustering; and equitable bus network optimization, a novel and significant topic that addresses one of the core causes of economic and sociodemographic inequalities in many cities worldwide.

Dr. David Alexander Tedjopurnomo received his PhD in Computer Science from RMIT University in 2023. He was nominated for the RMIT Higher Degree by Research Award in 2023 and received the RMIT Research Achievement Award for the School of Computing Technologies in 2020. He was a visiting scholar at the SCALE@NTU laboratory from 2019 to 2020. He received his Master of Information Technology degree from The University of Melbourne in 2017 and his Bachelor of Information Technology degree from The University of Newcastle in 2014.