Projects

Roadlink

Smartphone crowdsourced road roughness estimation method. Developed a deep learning model estimates IRI using smartphone in realtime by onboard processing without calibration. Any driver can use their smartphone with app to contribute the society to estimate road network health status!

Deep reinforcement learning for automated reinforced concrete structural design

Reinforcement learning application for reinforced concrete beam design automation

Automatic control of AC bridge-based capacitive strain sensor interface for wireless structural health monitoring

This study addressed such limitations with critical updates in both hardware and software with fully automated features for high-sensitive capacitive strain sensing. Newly developed hardware and software are fully controlled with a low-cost microcontroller ATmega328p in an automated way

Development of wireless sensor node hardware for large-area capacitive strain monitoring

An alternating current(AC) bridge based wireless capacitive strain sensor development and realworld implementation for I-70 steel girder bridge fatigue monitoring