Naoki Tamura 田村 直樹
Ph.D. Student, Kawaguchi Lab (UCLab), Nagoya University / Co-founder & Director, Ornis Inc.
Research Interests
Publications
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Additive Compositionality in Urban Area Embeddings Based on Human Mobility Patterns.
ACM Transactions on Spatial Algorithms and Systems, 12(3), Article 17, 2026.
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OpenUAS: Embeddings of Cities in Japan with Anchor Data for Cross-city Analysis of Area Usage Patterns.
CoRR, abs/2407.19872, 2024.
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Synthetic People Flow: Privacy-Preserving Mobility Modeling from Large-Scale Location Data in Urban Areas.
MobiQuitous 2021, pp. 553–567, 2022.
Grants
Oct 2024 – Mar 2027 JST ACT-X, Research Area “Cyber-Physical Infrastructure for an AI-Symbiotic Society” — “Integrated Utilization of Multimodal Urban Data via a Shared Latent Space” (Principal Investigator)
Awards
- May 2023 IPSJ 107th MBL Research Meeting — Outstanding Presentation Award
- Jul 2021 DICOMO2021 — Best Paper Award & Outstanding Presentation Award
Invited Talks
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Embedding Vectorization of Geospatial Information Based on Mobility Big Data
Competitions
- Nov 2025 ACM SIGSPATIAL GIS Cup 2025 — 3rd Prize
- Oct 2024 Human Mobility Prediction Challenge 2024 — 1st Prize (GEOBLEU)
- Nov 2023 Human Mobility Prediction Challenge 2023 — 1st Prize
Projects
OpenUAS
An open dataset of anchored area embeddings that represent how urban areas are used, based on human mobility data.
View details →LocationBind
Representation learning that aligns location and diverse modalities in a shared latent space.
View details →Synthetic People Flow Generation
Generating city-scale, privacy-preserving synthetic people-flow data from large-scale mobility logs.
View details →Additive Compositionality of Area Embeddings
Analyzing how addition/averaging of mobility-based area embeddings corresponds to spatial composition.
View details →Contact
tam[at]ucl.nuee.nagoya-u.ac.jp (Nagoya University)
tamura.naoki[at]ornis-c.co.jp (Ornis Inc.)
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