About Me
▷ Currently on Master’s degree for Neuroscience major in Biointelligence lab at Seoul National University.
▷ Worked at KETI (Korea Electronic Technology Institute) as research assistant. (Oct. 2016 - Jul. 2018)
▷ Graduated (B.S. in Computer Engineering) from University at Buffalo. (Class of 2016)
Publications
Occupancy detection technology in the building based on IoT environment sensors
dl.acm.org/doi/pdf/10.1145/3277593.3277633The Web of Things (WoT) Interest Group (IG) in the World Wide Web Consortium is actively working on standard technologies for IoT interworking. In this IG, they aim to reduce costs through the global reach of Web standards, to enable open markets of services, and to unleash the power of the network effect. In this paper, we introduce the WoT works and show the result of implementation for applying WoT to our IoT device.
Intelligent building using hybrid inference with building automation system to improve energy efficiency
ceur-ws.org/Vol-1930/paper-2.pdfMost existing building automation systems are operated with rule-based settings. These systems are wasting a lot of energy because the systems can not properly cope with changes in indoor/outdoor environments. In this paper, we propose hybrid inference for inferring indoor environments in the building using real-time stream data coming from BAS. Hybrid inference consists of Runtime Stream Processing and Semantic Lift Processing. Runtime Stream Processing deduces occupancy and thermal comfort using machine learning technology with historical data. Semantic Lift Processing uses the semantic inference to extract new knowledge based on inferred results from Runtime Stream Processing. On the basis of stored semantic-based data in the ontology, Semantic Lift Processing derives energy waste space based on occupancy and thermal comfort by using semantic technology.
Space Inference System for Buildings using IoT
dl.acm.org/doi/pdf/10.1145/3162957.3163023Korea has continued to receive international pressure on GHG (Greenhouse Gas) reduction as it is the world’s seventh-largest GHG emission source, and the government has already submitted to the UN INDCs (Intended National Determined Contributions) to reduce 37% of its GHG emission compared to a Business As Usual (BAU) in post-2020 on June 2015. There are various methods to save energy in order to fulfill this reduction obligation. The most effective methods are to increase the energy efficiency of the building, which accounts for about 30% of the existing energy consumption in Korea. Most of the existing buildings do not use 30% of the building space. To reduce this, a system such as BEMS (Building Energy Management System) is needed to grasp and monitor the environment inside the low-cost buildings. However, most BEMS systems are very expensive, and smallscale buildings are difficult to apply because of the low cost of investment. In this paper, we propose a system for inferring the energy use status of each space by collecting environmental information of existing buildings using IoT device. The IoT sensor uses the temperature, humidity, CO2 (Carbon Dioxide), and PIR (Passive Infrared) sensor to judge whether the thermal comfort of the room and the room is occupied or not, and whether the energy is efficiently consumed by the space. Finally, the intelligent system can utilize the historical data of the inferred occupant to predict the occupancy in advance for the control.
Experience
Korea Electronics Technology Institute (KETI)
www.keti.re.krResearch Assistant
October 2016 - July 2018
Worked in department of Energy IT Convergence Research Center at KETI
As a research assistant at KETI, I conducted a research on Artificial Intelligence such as machine learning, deep learning, and reinforcement learning to build automated system for IoT, and also worked as a group to build an IoT device with environment sensors such as CO2, PIR, and temperature for occupancy detection.
Third Republic of Korea Army (TROKA)
Administrative Clerk, Interpreter
February 2012 - November 2013
Worked in personnel administration department
As an interpreter, I had trained with United States Forces Korea(USFK) for two huge joint exercises called Ulchi Freedom Guardian (UFG) and Key Resolve/Foal Eagle (KR/FE). As an administrative clerk, I served in personnel administration department of TROKA, and used Microsoft Excel and Word to handle documentations.
Education
Seoul National University
Master's degree in Neuroscience major
2018 - Present
Seoul National University is a national research university located in Seoul, Republic of Korea.
▷ Conducting a study on learning and reasoning for interaction of vision and language.
▷ Involved in various projects(Video Turing Test, StarLab, and etc.) in Biointelligence laboratory.
University at Buffalo (State University of New York, Buffalo)
Bachelor's degree, Computer Engineering
2009 - 2016
The State University of New York at Buffalo (University at Buffalo, or SUNY Buffalo) is a public research university with campuses in Buffalo and Amherst, New York. It is the flagship campus of the State University of New York(SUNY) system, with the largest enrollment, largest endowment, and research funding as a comprehensive university center. The university was founded in 1846 as a private medical college, but in 1962 merged with the SUNY system.
▷ 2 times of Dean’s list Honor (Spring 2014, Fall 2014)
▷ During my time at UB, I learnt most of my key skills that I have taken through my career such as teamwork and working to tight deadlines. I thouroughly enjoyed my time as university.
Projects
This was the project for CSE 341(Computer Organization) in UB.
Task: Constructing Digital Alarm Clock
A Little More About Me
Alongside my interests in engineering, some of my other interests and hobbies are:
- Gaming (League of Legends, Battleground)
- Exercises (Weight-Training, Basketball, Swimming)
- Music