Research

Core Research Themes

Network Observation, Prediction, and Control

We develop methods to observe and analyze network traffic and states, predict future variations, and control networks in a stable manner. Integration of external sensor and real-world data enhances decision accuracy in network control.

Resource-Aware Optimization for Networks and Computing

In disaggregated data centers and edge–cloud environments, we study allocation and performance control of both communication and computation resources to achieve efficient and high-performance systems.

Sensor Data Utilization and Security

We investigate anomaly detection and prediction using IoT and multimodal sensor data, as well as robustness and defense strategies for machine learning models against sensor-based adversarial threats.

Cyber-Physical Integration and Predictive Models

Our work includes development of probabilistic models and digital twin frameworks for real-world information integration and prediction, and control approaches that consider human–environment interactions.