Curriculum

Vitae

Taehun Yang

Employments

Mar. 2023 ~ Current
Assistant Professor, Computer Engineering, Andong National University

Oct. 2022 ~ Feb. 2023
Postdoctoral Researcher, Computer Science and Engineering, Kongju National University

Research Interests

Digital Twin

 

Wireless Ad-hoc and Sensor Networks

Dissertation

Abstract

In the age of digital transformation, a digital twin as a key technology has been applied throughout industry and society in recent years. Especially, an urban digital twin, as a next-generation technology to promote a smart city, has been being actively researched and developed over the world. The urban digital twin fundamentally requires a vast number of data, which involve all information corresponding city’s physical assets.

In general, a city may be composed of many macroscale urban areas such as business, shopping, and school districts. Each district also consists of a large number of microscale urban areas. Due to high costs in constructing network infrastructure, macroscale urban sensing, which senses data for physical assets only at a few spots in a district, has been the predominant sensing method for designing a smart city. However, microscale urban sensing, which may collect digital data at many spots in a district, seems inevitable for envisioning a true urban digital twin.

Today there are a tremendous number of mobile devices in a district, and this may provide a good way of collecting digital data from many pervasive sensors in a district without the extra network infrastructure. Namely, such mobile devices can be the role of data acquisition from their nearby sensors. This dissertation proposes two microscale urban sensing methods with cost-effectiveness and high reliability by using mobile devices. For these sensing methods, the actual field experiments have been carried out and show that both methods can be taken into consideration as effective solutions for future microscale urban sensing.

Refereed Papers

International Journals

International Conferences

Domestic Journals

Domestic Conferences

Education

Feb. 2022
Ph.D., Computer Communication and Security, Chungnam National University
Dissertation: Highly Reliable and Cost-Effective Microscale Sensing for Urban Digital Twin
Advisor: Prof. Sang-Ha Kim

Aug. 2014
B.S., Computer Science and Engineering, Chungnam National University

​​​Thesis: Service of Providing Power Consumption about Power Consumption of Mobile Applications

Lecturer

[2024-Spring] 

Operating System

Database (incl. practice)

Compiler (incl. practice)

[2023-Spring]

Operating System

Database Theory (incl. practice)

Compiler (incl. practice)

 

[2024-Fall] 

Discrete Mathematics

Artificial Intelligence (incl. practice)

Bigdata (incl. practice)

[2023-Fall]

Discrete Mathematics

Artificial Intelligence (incl. practice)

Bigdata (incl. practice)