I am an Ph.D. student at Cyber-Physical Systems and Security (CyPhy) Lab, supervised by Prof. Jun Han. My research interest lies in the novel use of sensors within mobile environments to tackle challenges pertinent to public health safety. In particular, I am keen on developing new solutions for security and safety issues related to public health by augmenting physics models and integrating diverse sensing modalities. I received my B.S. degree in Electrical and Electronics Engineering from Konkuk University (2022) and my M.S. degree in Electrical and Electronics Engineering from Yonsei University (2024).

News

• 2025.01

  • (NEW) Our paper "PowDew: Detecting Counterfeit Powdered Food Products using a Commodity Smartphone" has been selected as ACM SIGMOBILE Research Highlight and published at ACM GetMobile'24!

• 2024.12

  • (NEW) Our paper "Mind Your Indices! Index Hijacking Attacks on Collaborative Unpooling Autoencoder Systems" is accepted and will appear at Internet of Things Journal! 

• 2024.11

  • (NEW) Our poster "Towards Privacy Preserving Patient State Classification in Psychiatric Seclusion Room using mmWave Radar" won the Best Poster Award 🏆 at ACM SenSys'24!

• 2024.10

  • Our poster "Towards Privacy Preserving Patient State Classification in Psychiatric Seclusion Room using mmWave Radar" is accepted and will appear at ACM SenSys'24!

• 2024.9

  • I joined the School of Computing at KAIST as a Ph.D. student under the supervision of Prof. Jun Han.

• 2024.6

  • Our paper "PowDew: Detecting Counterfeit Powdered Food Products using a Commodity Smartphone" won the Best Paper Award 🏆 at ACM MobiSys'24!

• 2024.4

  •  Our poster "Towards Counterfeit Powdered Food Products Detection using a Commodity Smartphone" is accepted and will appear at ACM MobiSys'24!

  • Our paper "PowDew: Detecting Counterfeit Powdered Food Products using a Commodity Smartphone" is accepted and will appear at ACM MobiSys'24!

• 2023.12

  • I won an excellence award 🏆 in the system design and practice class held by Automotive System IC Fusion Human Resource Research Center (ASRC) at Yonsei University.

• 2023.5

  • Our demo, "Exploiting Indices for Man-in-the-Middle Attacks on Collaborative Unpooling Autoencoders" is accepted and will appear at ACM MobiSys'23.

• 2023.2

  • Our poster, "RampScope: Ramp-level Localization of Shared Mobility Devices using Sidewalk Ramps" won the Best Poster Award 🏆 at ACM HotMobile'23. This poster accompanies our paper also presented at ACM HotMobile'23.

• 2022.12

  • Our paper, "RampScope: Ramp-level Localization of Shared Mobility Devices using Sidewalk Ramps" is accepted and will appear at ACM HotMobile'23.