Home

Name: Hyunsu Mun
Github: https://github.com/munhyunsu
Google Scholar: https://scholar.google.co.kr/citations?user=Ujq6g5cAAAAJ&hl=en
Course: Ph.D course student
Address:
- Data Networks Lab., Office room No. 606, Dept. of Computer Engineering, Engineering Building No.5, Chungnam National University, 99, Daehak-ro,, Yooseong-gu, Daejeon, 34134, South Korea
Telephone: +82-42-821-6292
email:
- munhyunsu@cnu.ac.kr
- munhyunsu@cs-cnu.org
Short Biography:
- I am studying toward a Ph.D degree in Computer Engineering at Chungnam National University, Korea. I received B.S. in Computer Engineering from Chungnam National University in 2015. My current research topic is developing a scalable privacy analysis method in web community based on Hadoop. This research includes all steps from the usage of web crawler to privacy analysis in Hadoop environments, visualization using R and D3.js, and the producing personal information exposure status. In addition, I study data analysis and visualization using public data. In particular, the research is to identify the characteristics of public bike sharing data in Daejon, Korea.
Interests:
- Privacy exposure analysis in Web community
- Scalable web community analysis based on Hadoop
- Home router-based lifelog collection and analysis
- Internet traffic measurement and analysis
Education:
- (2015 ~ Present) Ph.D Student in Data Network Lab., Computer Science & Engineering, The Chungnam National University, Daejeon, Korea
- (2008 ~ 2015) Bachelor in Computer Science & Engineering, The Chungnam National University, Daejeon, Korea
Certification:
- Coursera
  - Programming for Everybody (Python) by University of Michigan on Coursera. Certificate earned on April 29, 2015
    - https://www.coursera.org/account/accomplishments/records/HDDNJcNxTxZVPZvN
  - Algorithmic Thinking (Part 1) by Rice University on Coursera. Certificate earned on July 5, 2015
    - https://www.coursera.org/account/accomplishments/records/Xue52VNqTe3shKCK
  - Algorithmic Thinking (Part 2) by Rice University on Coursera. Certificate earned on August 23, 2015
    - https://www.coursera.org/account/accomplishments/records/55zDmjZWDaJYySPG
  - Using Python to Access Web Data by University of Michigan on Coursera. Certificate earned on December 19, 2015
    - https://www.coursera.org/account/accomplishments/records/AJ2LYR23HR2D
  - Object Oriented Programming in Java by University of California, San Diego on Coursera. Certificate earned on January 12, 2016
    - https://www.coursera.org/account/accomplishments/records/JWNRZBW4SKW4
  - Machine Learning by Stanford University on Coursera. Certificate earned on March 13, 2016
    - https://www.coursera.org/account/accomplishments/records/LK8PLK6UNVW5
  - Using Databases with Python by University of Michigan on Coursera. Certificate earned on February 23, 2016
    - https://www.coursera.org/account/accomplishments/records/LPNUH5EB6LVQ
- Human Resources Development Service of Korea
  - Industrial Engineer Office Automation
- Korea Association for ICT Promotion
  - Linux Master Grade 1
Skill:
- Basic: C++
- Intermediate: R, Spark, Hadoop
- Advanced: JAVA, Python, C, Socket Programming, Linux
International Journal:
- Hyunsu Mun and Youngseok Lee, "Examining Privacy Leakage from Online Used Markets in Korea." IEICE TRANSACTIONS on Information and Systems 99.4 (2016): 891-894
International Conference:
- Hyunsu Mun and Youngseok Lee, "Traffic Analysis of a Social Mobile Game." Network Operations and Management Symposium (APNOMS), 2015 17th Asia-Pacific. IEEE, 2015
Korean Journal:
- Hyunsu Mun and Youngseok Lee, "Visualization and Analysis of Public Bicycle Rental Data in Daejeon(Tashu)", KIISE Transactions on Computing Practices Vol.22 No.6 pp.253-267, 2016.6
Korean Conference:
- Hyunsu Mun and Youngseok Lee, "An Analysis of Smart Phone Game Traffic with Packet Capture", The committee on Korean Network Operations and Management (KNOM), 2014
- Hyunsu Mun and Youngseok Lee, "Visualization of Public Bicycle Rental System in Daejeon(Tashu)", KIISE, 2014
- Hyunsu Mun and Youngseok Lee, "Examining Privacy Exposure In Online Used Market", KCC, 2015
- Hyunsu Mun and Youngseok Lee, "The Monitoring Method of Watched Channel of IPTV using IP Multicast", KIISE, 2016
Software:
- Web community crawler using scrapy
- Joonggonara(Korea online used market) article analyzer on hadoop environment using java
- Joonggonara(Korea online used market) article analyzer on hadoop environment using python
- Ppomppu(Korea mobile device community) article analyzer
- Ruliweb(Korea game community) article analyzer
- IP Multicast IPTV watched channel analyzer
Github
- IP Multicast Watched Channel Analyzer
- Korean Online Used Market Analyzer
- Public Bicycle Data in Deajeon(Tashu) Visualization System
- Is in Lab or Not? using ARP Search
- Clementine Music Player Alarm using MPRIS2
- Pidgin League of Legends Chat Plugin