CPS・デジタルツイン基盤

CPS & Digital Twin Foundation

Core CPS, digital twin, and urban OS technologies at the Mobile Computing Lab that capture cities, people flows, transportation, and buildings in cyberspace and connect the real and virtual worlds

Cyber-Physical Systems (CPS) and digital twins are foundational technologies that reproduce real-world cities, transportation, buildings, and environments in cyberspace. By fusing simulation with real data, they enable policy evaluation and future prediction that would be difficult to test in reality. Our lab works on digital twin construction at various scales: traffic and pedestrian flow simulation, urban modeling using 3D point clouds and NeRF/3D Gaussian Splatting, and energy management simulation in smart homes.

We also pursue AI-integrated system design, including automatic generation of simulation agents using large language models (LLMs) and large-scale scenario evaluation through parallel simulation on HPC (High-Performance Computing) infrastructure. These technologies contribute to building urban OS-like platforms that support urban planning, transportation policy, and disaster preparedness.

Keywords

digital twinurban digital twinpeople flow digital twinCPSurban OStraffic simulationurban modeling3D point cloud processing3D-GS / NeRFsmart homeLLM-driven simulationHPC parallel computing

Middleware and orchestration technologies that process and integrate large-scale data streams from IoT devices to the cloud

We research middleware and orchestration technologies for efficient processing, aggregation, and coordination of data streams in large-scale distributed environments spanning IoT devices, edge, and cloud. Key research themes include real-time data delivery via Pub/Sub messaging, ROS-based robot and autonomous system control, and online analysis of massive sensor data through IoT data stream processing.

We also work on federated learning for collaborative model training across multiple sites while preserving data privacy, mathematical optimization in distributed settings, multi-agent systems for cooperative decision-making, and real-time prediction with parallel and distributed computing from sensor data. These technologies serve as the computational foundation for our applied research in city-scale traffic/pedestrian simulation, disaster management systems, and smart agriculture.

Keywords

Federated learningPub/SubDistributed optimizationIoT data stream processingROSReal-time predictionMulti-agent systemsParallel & distributed computing

ICNN Based Distributed Optimization of 3D Point Cloud Quality for Real-Time Physical Space Sharing

JIP Specially Selected Paper, IPSJ Outstanding Paper Award

Yui Maruyama, Tatsuya Amano, Hirozumi Yamaguchi

Journal of Information Processing, 2025, Volume 33, Pages 325-335

DOI 10.2197/ipsjjip.33.325

LLM as Personable Decision-Making Model for Smart Home Simulation

Best Short Paper Award

Haruki Yonekura, Fukuharu Tanaka, Teruhiro Mizumoto, Hirozumi Yamaguchi

The 20th International Conference on Intelligent Environments (IE2024)

DOI 10.1109/IE61493.2024.10599909

Large Language ModelsAgent-Based Modeling +3

Challenges for Federated Crowd Management in Smart Cities

Daniela Nicklas, Leonie Ackermann, Debasree Das, Tatsuya Amano, Hamada Rizk, Hirozumi Yamaguchi

ICDCN 2026 Workshop: IWNDSC2026

DOI 10.1145/3737611.3776621

Transformer-Based Resource and Stage-Aware Scheduling for Model-Parallel LLM Inference

Rami Naeem, Tengis Buyantogtokh, Hamada Rizk, Tatsuya Amano, Hirozumi Yamaguchi

ICDCN 2026 Workshop: DistLLM

DOI 10.1145/3737611.3776613

When Sensors Talk: LLM-Guided Object-Centric Collaboration for Distributed 3D Scene Understanding

Ziheng Xu, Tatsuya Amano, Hamada Rizk, Hirozumi Yamaguchi

ICDCN 2026 Poster/Demo

DOI 10.1145/3737611.3776964

A Digital Twin Approach for Crowd Flow Modeling on Railway Station Platforms

Yu Yasuda, Tatsuya Amano and Hirozumi Yamaguchi

IEEE International Conference on Smart Computing (SMARTCOMP), pp. 82-89

DOI 10.1109/SMARTCOMP65954.2025.00069

Digital TwinCrowd Simulation +1

Design and Implementation of Point Cloud-Based Space Integration with Quality-Aware Optimization

Yui Maruyama, Tatsuya Amano and Hirozumi Yamaguchi

2025 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Poznan, Poland, 2025, pp. 169-174

DOI 10.1109/EuCNC/6GSummit63408.2025.11037195

Victim Detection Based on Shape Features from 3D Point Clouds

DroneLiDAR +1

SimDeep: An Efficient Federated Learning Indoor Localization System with Similarity Aggregation Strategy

Ahmed Jaheen, Sarah Elsamanody, Hamada Rizk and Moustafa Youssef

In Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL '24). pp. 721–722.

DOI 10.1145/3678717.3695763

Joint user association, service caching, and task offloading in multi-tier communication/multi-tier edge computing heterogeneous networks

Bassant Tolba, Mohammed Abo-Zahhad, Maha Elsabrouty, Akira Uchiyama, Ahmed H. Abd El-Malek

Elsevier Ad Hoc Networks, Vol. 160, pp. 103500, July 2024.

DOI 10.1016/j.adhoc.2024.103500

3D Point Cloud-Based Interaction System Bridging Physical Spaces in Virtual Environments

Sakuma Shigetomo, Yuki Mishima, Tomokazu Matsui, Hirohiko Suwa, Keiichi Yasumoto, Tatsuya Amano, Hirozumi Yamaguchi

2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Demo), Biarritz, France, 2024.

DOI 10.1109/PerComWorkshops59983.2024.10502491

Adaptive Message Scheduling Assisted by Natural Language Processing Models

Ren Ozeki, Akihito Hiromori, Hirozumi Yamaguchi

in Proceedings of the GLOBECOM 2023 IEEE Global Communications Conference (GLOBECOM), pp. 2608-2613,

DOI 10.1109/GLOBECOM54140.2023.10437656

WIS2.0Pub/Sub +1

Semantic Communication for Capacity-aware Remote Collaboration

Tatsuya Amano, Srikant Manas Kala, Teruhiro Mizumoto and Hirozumi Yamaguchi

The 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2022)

DOI 10.1109/WiMob55322.2022.9941595

Smartphone User Identification in Cyber-phsyical Space

Tatsuya Amano, Hirozumi Yamaguchi, Teruo Higashino

IEEE Internet of Things Magazine, Vol.3, No.3, September, 2020.

Cyber-physical SpaceUser Identification +1

MicroDeep: In-network Deep Learning by Micro-sensor Coordination

Yuta Fukushima, Daiki Miura, Takashi Hamatani, Hirozumi Yamaguchi and Teruo Higashino

Proceedings of the 4th IEEE International Conference on Smart Computing 163-170 2018年

distributed deep learningultra-low power AI

Smart City & Building

We pursue people-flow digital twins, urban digital twins, smart buildings, and smart homes to realize comprehensive well-being and sustainable urban environments.

Smart Mobility & Transportation

We research data-driven technologies, including transportation and urban digital twins, that optimize the movement of people and goods in a safe, comfortable, and efficient manner.

Disaster Management & Resilience

Working toward building resilient societies, we develop information and communication technologies for disaster prevention and mitigation, as well as efficient situational awareness, aiming to achieve socially equitable disaster preparedness that leaves no one behind.

Smart Agriculture & Primary Industry

We research smart agriculture technologies that introduce digital twins, IoT, and AI to farming and primary industries, enabling field environment visualization, crop growth prediction, and operational efficiency.

Space & Satellite Technologies

We are developing control algorithms for distributed satellite systems where multiple small satellites operate cooperatively, along with efficient inter-satellite communication protocols and flight formation technologies.

Intelligent Environment & Wireless Sensing

We aim to create intelligent environments where physical spaces themselves possess "intelligence" and can sense and respond to human needs and behaviors. Our research and development includes wireless/radio-based human sensing and privacy-conscious three-dimensional remote space sharing systems.

Sensing & Communication Foundation

Beyond 5G / 6G / IoT / Sensing / Mobile / Edge / Ubiquitous / Wearable Computing