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Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka, "City-Scale Early Crowd Forecasting by Capturing Population Flows from Stations through Transit Search and Mobility Logs," in Journal of Big Data. 2025, doi: 10.1186/s40537-025-01214-6. [link]
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Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka, "Forecasting Lifespan of Crowded Events With Acoustic Synthesis-Inspired Segmental Long Short-Term Memory," in IEEE Access, vol. 12, pp. 87309-87322, 2024, doi: 10.1109/ACCESS.2024.3417509. [link]
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Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka, "CityOutlook+: Early Crowd Dynamics Forecast Through Unbiased Regression With Importance-Based Synthetic Oversampling" in IEEE Pervasive Computing, vol. 22, no. 04, pp. 26-34, 2023. doi: 10.1109/MPRV.2023.3312652. [link]
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Takashi Torii, Soto Anno, Masaki Okada, Takuma Tsubaki, Nobuhiro Azuma, Takuya Tojo. CloudEmu: A Trace-Driven Cloud-Native Emulation Testbed for Vehicle Video Uplink over Cellular Networks. In 2026 12th IEEE International Conference on Network Softwarization (NetSoft 2026), Berlin, Germany, 29 June - 3 July 2026. (To appear) (Equal Contribution)
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Soto Anno, Takuma Tsubaki, Takashi Torii, Akito Suzuki, Takuya Tojo. Mobility-Aware Offline Reinforcement Learning for Optimizing ABR in Teleoperated Driving. In 2026 IEEE 103rd Vehicular Technology Conference (VTC2026-Spring), June, 9-12, 2026, Nice, France. (To appear)
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Takuma Tsubaki, Seiya Komatsu, Takashi Torii, Soto Anno, Takuya Tojo. Efficient and Reliable Adaptive Packet Replication for Vehicular MPQUIC. In 2026 IEEE 103rd Vehicular Technology Conference (VTC2026-Spring) Workshop on Mission Critical and Emergency Communications, June, 9-12, 2026, Nice, France. (To appear)
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Yuki Kubota, Kota Tsubouchi, Soto Anno, Kaito Ide and Masamichi Shimosaka. Omni-CityMood: Vision-based Urban Atmosphere Perception from Every Angle. In Proceedings of the 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2025), Nov. 3-6, 2025
Minneapolis, MN, USA. [link]
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Kaoru Miyanaga, Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka. Revealing Universities' Atmosphere from Visitor Interests Using Search Queries and GPS Logs. Proceedings of the 2024 IEEE International Conference on Big Data (BigData) , pp. 8777-8777, Washington D.C., United States of America, 12 2024. [link].
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Soto Anno, Dario Tenore, Kota Tsubouchi, and Masamichi Shimosaka. Are Crowded Events Forecastable from Promotional Announcements with Large Language Models?. In Proceedings of the 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2024), Atlanta, GA, USA, Oct. 29 - Nov. 1. 2024. [link]
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Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka. Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports. In Proceedings of the 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2024), Atlanta, GA, USA, Oct. 29 - Nov. 1. 2024. [link]
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Yuki Kubota, Soto Anno, Tomomi Taniguchi, Kosei Miyazaki, Akira Tsujimoto, Hiraki Yasuda, Takayuki Sakamoto, Takaaki Ishikawa, Kota Tsubouchi, and Masamichi Shimosaka. 2023. CityScouter: Exploring the Atmosphere of Urban Landscapes and Visitor Demands with Multimodal Data. In Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (UbiComp/ISWC '23 Adjunct). Association for Computing Machinery, New York, NY, USA, 157–161. [link]
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Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka. CityOutlook: Early Crowd Dynamics Forecast towards Irregular Events Detection with Synthetically Unbiased Regression. In Proceedings of the 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2021), Seattle, WA, USA, 2-5 Nov. 2021. [link]
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Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka. Supervised-CityProphet: Towards accurate anomalous crowd prediction. In Proceedings of the 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2020), Seattle, WA, USA, 3-6 Nov. 2020. [link]
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Soto Anno and Yuichi Sasaki. "GAN-based abnormal detection by recognizing ungeneratable patterns", Asian Conference on Pattern Recognition (ACPR) 2019, Auckland, New Zealand, 26-29 Nov. 2019. [link]
Soto Anno (安納 爽響)
Researcher at Network Service Systems Laboratories, NTT Inc., Tokyo, Japan.
Email: soto.anno [at] ntt.com
[CV(ver. 202409)][Google Schalor][GitHub]
Short Biography
I am Soto Anno (安納 爽響), a researcher at the Network Service Systems Laboratories, NTT Inc. I obtained a Ph.D. degree from the Department of Computer Science at the Institute of Science Tokyo (previously known as Tokyo Institute of Technology).
My research interests include a data-driven understanding/modeling of real-world environments, such as urban environments, human mobilities, and our activities in cities. My research interests also include machine learning, deep learning, big data analysis, geographic information systems, urban computing, context-aware computing, and computer vision.
News
2026
Previous News (before 2025)
2025
2024
2023
2022
2021
2020
2019
Publications
Journal Papers (Peer-reviewed)
Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka, "City-Scale Early Crowd Forecasting by Capturing Population Flows from Stations through Transit Search and Mobility Logs," in Journal of Big Data. 2025, doi: 10.1186/s40537-025-01214-6. [link]
Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka, "Forecasting Lifespan of Crowded Events With Acoustic Synthesis-Inspired Segmental Long Short-Term Memory," in IEEE Access, vol. 12, pp. 87309-87322, 2024, doi: 10.1109/ACCESS.2024.3417509. [link]
Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka, "CityOutlook+: Early Crowd Dynamics Forecast Through Unbiased Regression With Importance-Based Synthetic Oversampling" in IEEE Pervasive Computing, vol. 22, no. 04, pp. 26-34, 2023. doi: 10.1109/MPRV.2023.3312652. [link]
International Conferences (Peer-reviewed)
Takashi Torii, Soto Anno, Masaki Okada, Takuma Tsubaki, Nobuhiro Azuma, Takuya Tojo. CloudEmu: A Trace-Driven Cloud-Native Emulation Testbed for Vehicle Video Uplink over Cellular Networks. In 2026 12th IEEE International Conference on Network Softwarization (NetSoft 2026), Berlin, Germany, 29 June - 3 July 2026. (To appear) (Equal Contribution)
Soto Anno, Takuma Tsubaki, Takashi Torii, Akito Suzuki, Takuya Tojo. Mobility-Aware Offline Reinforcement Learning for Optimizing ABR in Teleoperated Driving. In 2026 IEEE 103rd Vehicular Technology Conference (VTC2026-Spring), June, 9-12, 2026, Nice, France. (To appear)
Takuma Tsubaki, Seiya Komatsu, Takashi Torii, Soto Anno, Takuya Tojo. Efficient and Reliable Adaptive Packet Replication for Vehicular MPQUIC. In 2026 IEEE 103rd Vehicular Technology Conference (VTC2026-Spring) Workshop on Mission Critical and Emergency Communications, June, 9-12, 2026, Nice, France. (To appear)
Yuki Kubota, Kota Tsubouchi, Soto Anno, Kaito Ide and Masamichi Shimosaka. Omni-CityMood: Vision-based Urban Atmosphere Perception from Every Angle. In Proceedings of the 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2025), Nov. 3-6, 2025
Minneapolis, MN, USA. [link]
Kaoru Miyanaga, Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka. Revealing Universities' Atmosphere from Visitor Interests Using Search Queries and GPS Logs. Proceedings of the 2024 IEEE International Conference on Big Data (BigData) , pp. 8777-8777, Washington D.C., United States of America, 12 2024. [link].
Soto Anno, Dario Tenore, Kota Tsubouchi, and Masamichi Shimosaka. Are Crowded Events Forecastable from Promotional Announcements with Large Language Models?. In Proceedings of the 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2024), Atlanta, GA, USA, Oct. 29 - Nov. 1. 2024. [link]
Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka. Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports. In Proceedings of the 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2024), Atlanta, GA, USA, Oct. 29 - Nov. 1. 2024. [link]
Yuki Kubota, Soto Anno, Tomomi Taniguchi, Kosei Miyazaki, Akira Tsujimoto, Hiraki Yasuda, Takayuki Sakamoto, Takaaki Ishikawa, Kota Tsubouchi, and Masamichi Shimosaka. 2023. CityScouter: Exploring the Atmosphere of Urban Landscapes and Visitor Demands with Multimodal Data. In Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (UbiComp/ISWC '23 Adjunct). Association for Computing Machinery, New York, NY, USA, 157–161. [link]
Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka. CityOutlook: Early Crowd Dynamics Forecast towards Irregular Events Detection with Synthetically Unbiased Regression. In Proceedings of the 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2021), Seattle, WA, USA, 2-5 Nov. 2021. [link]
Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka. Supervised-CityProphet: Towards accurate anomalous crowd prediction. In Proceedings of the 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2020), Seattle, WA, USA, 3-6 Nov. 2020. [link]
Soto Anno and Yuichi Sasaki. "GAN-based abnormal detection by recognizing ungeneratable patterns", Asian Conference on Pattern Recognition (ACPR) 2019, Auckland, New Zealand, 26-29 Nov. 2019. [link]
Domestic Conference
Awards
Committee and Review Experience
Steering Committee Member
Program Committee Member
Review Experience
Projects
Education
Research & Work Experience
Funding Source
Other Developing Experiences
Skills
Programming: Scala, Python, Java, Kotlin, C/C++, JavaScript
Crowd Computing: AWS