PH.D. STUDIES¶

IOT-SHM

RESEARCH TOPICS

My Ph.D. research topic is Distributed Edge Intelligence Enabling Framework for IoT-based Structural Health Monitoring: TinySHM, focusing on developing a distributed edge intelligence enabling framework which is specially designed for low-cost and resource-constrained edge devices in IoT-based structural health monitoring.

KEY TASKS

IoT Hardware Prototyping: Front-end (MCU level, low-cost & resource-constrained) and back-end development
Distributed Edge Intelligence Enabling Framework Development: TinySHM
Structural Health Monitoring Applications: Measurement / System Identification / Damage Detection

IoT Hardware Prototyping¶

Front End¶

Hardware Development

To achieve edge intelligence computing, we have developed two types of MCU nodes, based on STM32 and ESP32. These nodes have high-performance edge computing capabilities and can be used in IoT, smart home, smart city, and other application scenarios. The current development focus is on ESP32.

MCU_NODE_STM32🎯🏆

MCU IoT Node with High Performance Edge Computing, Based on STM32

Portal
MCU_NODE_ESP32🎯🏆

MCU IoT Node with High Performance Edge Computing, Based on ESP32

Portal

Back End¶

Coming Soon... 🏗️

Distributed Edge Intelligence Enabling Framework¶

TinySHM🎯🏆

Currently Supported Platforms:
- STM32
- ESP32
Portal

Structural Health Monitoring Applications¶

Measurement¶

Coming Soon ... 🏗️

System Identification¶

Coming Soon ... 🏗️

Damage Detection¶

Adaptive edge intelligence for rapid structural condition assessment using a wireless smart sensor network¶

PAPER1

Journal Paper - Engineering Structures

Cui, S., Hoang, T., Mechitov, K., Fu, Y., & Spencer Jr, B. F. (2025). Adaptive edge intelligence for rapid structural condition assessment using a wireless smart sensor network. Engineering Structures, 326, 119520.

Portal

To Be Continued ...