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I am a Ph.D. candidate in the Computer Science Department in the School of Computing at George Mason University, working with Prof. Parth Pathak. I also work closely with Prof. Song Min Kim. I earned my M.S. in Electrical and Computer Engineering from the University of Minnesota in 2012 and my B.S. in Electrical & Electronic Engineering from Yonsei University in 2009.
My research interests span a wide spectrum of topics in wireless networking and low-power Internet of Things (IoT) systems. My research focus lies in enabling reliable and high-speed mmWave backscatter by strategically leveraging the advantages of millimeter wave.
My work has been published in several top-tier conferences, including ACM MobiCom, SenSys, MobiSys, and USNIEX NSDI. Our work on millimeter-wave backscatter was recognized as the Best Paper Award at ACM MobiSys '22 and was selected as ACM SIGMOBILE Research Highlights.
Recent Publications
[NSDI'24] mmComb: High-speed mmWave Commodity WiFi Backscatter
Yoon Chae, Zhenzhe Lin, Kang Min Bae, Song Min Kim, Parth Pathak
USENIX Symposium on Networked Systems Design and Implementation
(Acceptance Rate 40/227 = 17.6%, It will be uploaded after the NSDI conference on April '24.)
[MobiCom'23] mmSV: mmWave Vehicular Networking using Street View Imagery in Urban Environments
Ahmad Kamari, Yoon Chae, Parth Pathak
Annual International Conference on Mobile Computing and Networking
(Acceptance Rate 92/377 = 24.4%)
[MobiSys'22] OmniScatter: Extreme Sensitivity mmWave Backscattering Using Commodity FMCW Radar [Best Paper Award, SIGMOBILE Research Highlight]
Kang Min Bae, Namjo Ahn, Yoon Chae, Parth Pathak, SungMin Sohn, Song Min Kim
Annual International Conference on Mobile Systems, Applications and Services
(Acceptance Rate 38/176 = 21.6%)
Apr '24
NSDI'24 presentation: mmComb: High-speed mmWave CommodityWiFi Backscatter.
Aug '23
Our Mobicom paper proposes the use of Google Street View images for efficient V2V mmWave links.
Jul '23
Our NSDI paper proposes the first high-speed mmWave backscatter systems using commodity WiFi devices.
Apr '23
Our Mobisys work has been selected as SIGMOBILE Research Highlight!
Jun '22
Our Mobisys mmWave backscatter work won the Best Paper Award at MobiSys 2022!
May '22
Our Mobisys paper proposes the high sensitivity mmWave backscattering using FMCW radars.
Sep '20
WinTech '20 presentation: Presented "On the feasibility of Millimeter-wave Backscatter using Commodity 802.11ad 60 GHz Radios"
Jun '20
Our WinTech workshop paper shows the feasibility of mmWave WiFi backscattering operating with commodity 802.11ad devices.