Computer Science Researcher

Soto Anno, Ph.D.安納 爽響

Researcher @ Network Service Systems Laboratories, NTT, Inc.

I study data-driven methods for understanding real-world environments, spanning urban dynamics, human mobility, and vehicular communications.

Hi, I'm Soto Anno (安納 爽響), a researcher at Network Service Systems Laboratories, NTT, Inc.,

I'm working on building data-driven methods for understanding real-world environments, spanning urban dynamics, human mobility, and vehicular communications.

I obtained a Ph.D. degree from the Department of Computer Science at Science Tokyo, advised by Prof. Masamichi Shimosaka. During my Ph.D. journey, I served as JSPS Research Fellow (DC1) (2022-2025). I also interned at Yahoo! JAPAN Research (2020-2024).

My broader interests include machine learning, deep learning, big data analysis, geographic information systems, context-aware computing, and computer vision.

Connecting real-world measurement, predictive learning, and dependable communication systems.

01

Urban Intelligence

Data-driven understanding and modeling of cities, human mobility, and activities in urban environments.

02

Networked Mobility

Reliable cellular and multipath communication for connected and teleoperated vehicles.

03

Machine Learning

Learning from large-scale mobility, search, visual, geographic, and network measurements.

04

Spatial Computing

Geographic information systems, urban computing, context-aware computing, and computer vision.

  1. accepted

    Our paper “Scheduler-Agnostic Adaptive-FEC for MPQUIC: Field Evaluation over Commercial Cellular Paths” was accepted at IEEE VTC2026-Fall.

  2. accepted

    Our paper “Map-Aware V2I Handover Evaluation Using an ns-3 and Sionna RT Integrated Urban Digital Twin” was accepted at IEEE VTC2026-Fall workshop.

  3. accepted

    Our paper “Mobility-Aware Offline Reinforcement Learning for Optimizing ABR in Teleoperated Driving” was accepted at IEEE VTC2026-Spring.

View all 34 publications →
  • Steering
    • IPSJ UBI (2025-)
  • Program committees
    • ACM Multimedia 2026
    • ACM ICMR 2026
  • Reviewing
    • International Journal of Data Science and Analytics, Springer Nature (2026)
    • ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) (2026)
    • IEEE Transactions on Knowledge and Data Engineering (TKDE) (2025)
    • IPSJ Journal of Information Processing
    • ACM Multimedia Asia 2026
    • ACM Multimedia 2025
    • ACM SIGSPATIAL 2022

Researcher

NTT R&D

Doctor of Engineering

Tokyo Institute of Technology, Graduate School of Computing

Master of Engineering

Tokyo Institute of Technology, Graduate School of Computing

Bachelor of Engineering

Tokyo Institute of Technology, Undergraduate School of Computing

1-year earlier graduation

High School

Utsunomiya High School

Professional Memberships

Institute of Electrical and Electronics Engineers (IEEE)Institute of Electronics, Information and Communication Engineers (IEICE)Information Processing Society of Japan (IPSJ)