As an engineer, maker, and designer, I enjoy integrating what I have learned and applying it in the disaster prevention field.
My interesting topic is focused on IoT rapid prototyping, emerging monitoring technologies, and how they impact natural hazards.
The following are other fields that fascinate me:
* Applied Mechanics & Electronics
* Numerical simulation
* Wireless sensor network (WSN)
* Short-term quantitative precipitation forecasting
* Computer vision and image processing
* Design for additive manufacturing
* Fire science
Taipei, Taiwan
Oct 2018 - Present
* IoT rapid prototyping
* Ultra-low-power MCU targets IoT applications
- Firmware solution: 6 [email protected] / Hardware solution: 1 [email protected]
* Integration of heterogeneous IoT communications
- LPWAN: Cat.NB1, Cat.M1, LoRaWAN etc.
- Intranet: LoRa, RFID, Zigbee etc.
* LoRa ad-hoc network communications
* 3D modeling and printing
* Product development
Jan 2017 - Sep 2018
* at Taiwan Typhoon and Flood Research Institute
* Develop a debris flow numerical model based on the flow direction algorithm
* Support in the landslide warning system integrated with the ensemble rainfall forecast
Jul 2013 - Jun 2015
* at the Disaster Prevention Research Center
* Participate in disaster investigation and data collection teams
* Spatial analysis of hydrologic and environmental data
The aim of this work is to perform the raster-based numerical model coupling the governing equation and flow direction algorithm, that is, quasi-two-dimensional debris flow runout modeling.
The clusters of LoRa sensor nodes can communicate with each other on multi-hop mesh topology. Either of the nodes is allowed to actively send data, including soil moisture and temperature under the ground.
Master's degree, Hydrology and Water Resources Science
Jul 2013 - Jun 2015
Short-term Study Program, Life and Environmental Sciences
Jul 2014 - Aug 2014
Bachelor's degree, Civil Engineering
Aug 2009 - Jun 2013