Song Min

Song Min Kim

Assistant Professor

Department of Computer Science

George Mason University


Email: song(at)gmu(dot)edu  Office: Engineering 5305

Phone: 703-993-6218       Fax: 703-993-1710

ANNOUNCEMENT

  • I'm looking for visiting scholars, PhD, MS, and undergrad students to work in wireless networking and embedded systems. Knowledge on wireless communications and digital signal processing would be a big plus. Please contact me (preferably by email) if you are interested!

ABOUT ME

I am an assistant professor in the Department of Computer Science at George Mason University. I have received my Ph.D. from Computer Science at the University of Minnesota and ME/BE degrees from Korea University in South Korea. My research interest broadly lies across topics in wireless networks, embedded systems, Internet of Things, and mobile computing. I particularly enjoy designs motivated by analysis on extensive experimental data, followed by real-world implementations to validate their impact in practice. Some of my recent topics include:

  • Cross-technology Communication [Project Website]
  • Harmonizing heterogeneous wireless networks
  • Localization/tracking systems and network time synchronization

STUDENTS

  • Yoon Chae (CS PhD, Spring'17-)
  • Shuai Wang (CS PhD, Fall'17-)

TEACHING

  • CS 755 Advanced Computer Networks: Internet of Things (Spring 2018)
  • CS 367 Computer Systems and Programming (Fall 2016/2017/2018)
  • CS 795/818 Wireless and sensor networks and their applications (Spring 2017)

SELECTED
RECENT
PUBLICATIONS
[ Full List ]

  1. [SenSys'18] Yoon Chae, Shuai Wang, Song Min Kim
    Exploiting WiFi Guard Band for Safeguarded ZigBee
    To appear in the 16th ACM Conference on Embedded Networked Sensor Systems, (23/147 = 15.6% Acceptance Rate)
  2. [MobiCom'18] Wenchao Jiang, Song Min Kim, Zhijun Li, Tian He
    Achieving Receiver-Side Cross-Technology Communication with Cross-Decoding
    To appear in the 24th Annual International Conference on Mobile Computing and Networking, (42/187 = 22% Acceptance Rate)
  3. [ICDCS'18] Shuai Wang, Song Min Kim, Tian He
    Symbol-level Cross-technology Communication via Payload Encoding
    In the 38th IEEE International Conference on Distributed Computing Systems, (78/378 = 20% Acceptance Rate)
    Best Paper Award
  4. [MobiSys'18] Zhimeng Yin, Zhijun Li, Song Min Kim, Tian He
    Explicit Channel Coordination via Cross-technology Communication
    In the 16th ACM International Conference on Mobile Systems, Applications, and Services, (37/138 = 26.8% Acceptance Rate)
  5. [SenSys'17] Wenchao Jiang, Roufeng Liu, Zhimeng Yin, Song Min Kim, Tian He
    BlueBee: a 10,000x Faster Cross-Technology Communication
    In the 15th ACM Conference on Embedded Networked Sensor Systems, (26/151 = 17.2% Acceptance Rate) [PDF]
  6. [INFOCOM'17] Zhimeng Yin, Wenchao Jiang, Song Min Kim, Tian He
    C-Morse: Cross-Technology Communication with Transparent Morse Coding
    In the 36th IEEE Conference on Computer Communications, (292/1395 = 20% Acceptance Rate) [PDF]
  7. [INFOCOM'17] Wenchao Jiang, Zhimeng Yin, Song Min Kim, Tian He
    Transparent Cross-technology Communication over Data Traffic
    In the 36th IEEE Conference on Computer Communications, (292/1395 = 20% Acceptance Rate) [PDF]
  8. [SenSys'15] Song Min Kim, Shuai Wang, Tian He
    cETX: Incorporating Spatiotemporal Correlation for Better Wireless Networking
    In the 13th ACM Conference on Embedded Networked Sensor Systems, (27/132 = 20% Acceptance Rate) [PDF]
  9. [MobiCom'15] Song Min Kim, Tian He
    FreeBee: Cross-technology Communication via Free Side-channel
    In the 21st Annual International Conference on Mobile Computing and Networking, (38/207 = 18% Acceptance Rate) [PDF] [Slide]
  10. [INFOCOM'15] Song Min Kim, Shuai Wang, Tian He
    Exploiting Causes and Effects of Wireless Link Correlation for Better Performance
    In the 34th IEEE Conference on Computer Communications, (316/1640 = 19% Acceptance Rate) [PDF]