Dr. David Alexander Tedjopurnomo

Dr. David Alexander Tedjopurnomo

Computer Science Ph.D. graduate from RMIT University. Expert on deep learning and geospatial data analytics.

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

portfolio

publications

Trip Planning by an Integrated Search Paradigm

Published in Proceedings of the 2018 International Conference on Management of Data (SIGMOD), 2018

In this paper, we developed a trip planning system that allows users to interactively explore points of interests and trajectories, and plan their trip incrementally. Read more

Recommended citation: Sheng Wang, Mingzhao Li, Yipeng Zhang, Zhifeng Bao, David Alexander Tedjopurnomo, and Xiaolin Qin. 2018. Trip Planning by an Integrated Search Paradigm. In Proceedings of the 2018 International Conference on Management of Data (SIGMOD '18). Association for Computing Machinery, New York, NY, USA, 1673–1676. https://doi.org/10.1145/3183713.3193543 https://dl.acm.org/doi/10.1145/3183713.3193543

A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges

Published in 2020 IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020

In this paper, we performed a survey on model deep neural network applications for the task of traffic prediction. We compared a large selection of state-of-the-art research based on the models and the datasets they use. Read more

Recommended citation: David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, and A. K. Qin. "A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges," in IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 4, pp. 1544-1561, 1 April 2022, doi: 10.1109/TKDE.2020.3001195. https://doi.org/10.1109/TKDE.2020.3001195

Similar Trajectory Search with Spatio-temporal Deep Representation Learning

Published in 2021 ACM Transactions on Intelligent Systems and Technology (TIST 2021), 2021

In this work, we explored an extension of similar trajectory search by considering both the temporal factors alongside the spatial factors. Read more

Recommended citation: David Alexander Tedjopurnomo, Xiucheng Li, Zhifeng Bao, Gao Cong, Farhana Choudhury, and A. K. Qin. Similar trajectory search with spatio-temporal deep representation learning. ACM Transactions on Intelligent Systems and Technology, 12(6), 2021. https://doi.org/10.1145/3466687 https://dl.acm.org/doi/10.1145/3466687

Equitable Public Bus Network Optimization for Social Good: A Case Study of Singapore

Published in Proceedings of the 2022 ACM Conference on Fairness, Accountability and Transparency (FAccT 2022), 2022

This work is the first work on equitable bus network optimization. In this work, we formulated the first-ever notion of bus network equity. We then explored several model’s performance on bus network optimization in terms of both bus network efficiency and equity. Read more

Recommended citation: David Tedjopurnomo, Zhifeng Bao, Farhana Choudhury, Hui Luo, and A. K. Qin. "Equitable public bus network optimization for social good: A case study of singapore." In 2022 ACM Conference on Fairness, Accountability, and Transparency, page 278–288, 2022. https://dl.acm.org/doi/10.1145/3531146.3533092

talks

teaching