Sensing Intelligence and Cyber-Physical Security (CyPhy) Lab
where we turn "sci-fi" into reality
Sensing Intelligence and Cyber-Physical Security (CyPhy) Lab
where we turn "sci-fi" into reality
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where we turn "sci-fi" into reality
Welcome to Sensing Intelligence and Cyber-Physical Security (CyPhy) Lab! Currently, our lab consists of members from both the School of Computing at KAIST and the School of Computing at the National University of Singapore.
카이스트 전산학부 센싱 지능 및 사이버-물리 보안 연구실 방문을 환영합니다.
CyPhy Lab (pronounced as "Sci-Fi") -- previously known as SENSG at NUS -- is directed by Jun Han. The lab focuses on various aspects of sensing systems and security/privacy of mobile, embedded, and wireless systems. The lab also studies related issues in emerging technologies including drones, electric scooters, truck platooning, and other vehicular applications, as well as other IoT and CPS.
[Announcement] Looking for motivated students!
[Announcement] Looking for motivated students!
(NEW) I’m looking for undergraduate research interns to join our CyPhy research group this summer. I am also looking for students to conduct individual research studies (개별연구). CyPhy 연구실에서 여름학기 연구 인턴 및 개별연구를 진행할 학생을 모집합니다.
Lab Intro + Internship project details: >> Click to View Slides
If interested, please fill out the following survey form: https://forms.gle/VfYfTS6Qy6oUreyq5
I am hiring new graduate students (M.S./Ph.D. students), undergraduate interns, and post-doctoral researchers. I am looking for motivated and passionate students to work on exciting research projects! Please contact me if you are interested. ** Lab Introduction Slides **
세계를 선도하는 최고 수준 연구에 참여하고 싶으신 분들은 (학부/석사/박사/포닥) 연락 바랍니다. ** 연구실 소개 자료 보기 **
If interested, please fill out the following survey form: https://forms.gle/VfYfTS6Qy6oUreyq5
What's New?
What's New?
2025.9
(NEW) Our group is now rebranded as "Sensing Intelligence and Cyber-Physical Security (CyPhy) Lab". Please check out our new logo :)
2025.7
(NEW) Sean's paper, "UniKey: Enabling Surface-Based Typing with Commodity Smartwatches via Cross-Modal Learning", is accepted at ACM UIST'25.
2025.6
(NEW) Bangjie's poster won the Best Poster Award at ACM MobiSys'25. Congratulations!
2025.3
(NEW) Bangjie's paper, "CAMPrints: Leveraging the "Fingerprints" of Digital Cameras to Combat Image Theft", is accepted at ACM MobiSys'25.
2025.2
(NEW) Congratulations to Dr. Soundarya Ramesh on the successful defense of her Ph.D. dissertation!
(NEW) Congratulations to Dr. Sriram Sami on the successful defense of her Ph.D. dissertation!
2024.11
(NEW) Our paper in collaboration with Zhejiang University, "Lend Me Your Beam: Privacy Implications of Beamforming Feedback Packets in WiFi", is accepted and will be presented at NDSS'25.
(NEW) Dongjin's, Jonghyuk's, Seongjin's, and Jaewoo's poster won the Best Poster Award at ACM SenSys'24. Congratulations!
(NEW) Our paper in collaboration with UC Merced titled, "Don’t Crosstalk to Me: Origami Structure-Augmented Sensing for Scalable Surface Pressure Monitoring", is accepted and will be presented at ACM SenSys'24.
2024.10
(NEW) Jun is is invited to serve on the TPC of several top conferences including ACM MobiSys'25, ACM MobiCom'25, IEEE S&P'25, ACM CCS'25.
2024.8
(NEW) Jun is serving as the PI in an international research grant (a collaboration between KAIST, MIT, and NUS) recently selected by the Korean National Research Foundation (NRF) (STEAM Global Cooperative Convergence Research Program). This grant will provide KRW 5.4B (approximately SGD 5.4M or USD 4M) in funding over a 4.5-year project span [KAIST News].
2024.6
(NEW) Jonghyuk's, Kyoosik's, Kichang's, and Bangjie's paper won the Best Paper Award at ACM MobiSys'24. Congratulations! [link]
(NEW) Soundarya won the Best Presentation Award of the Rising Stars Forum Award at ACM MobiSys'24. Congratulations!
2024.5
(NEW) Nan's and Bangjie's paper, "Can I Hear Your Face? Pervasive Attack on Voice Authentication Systems with a Single Face Image", is accepted and will appear at USENIX Security'24.
2024.4
Jonghyuk's, Kyoosik's, Kichang's, and Bangjie's paper, "PowDew: Detecting Counterfeit Powdered Food Products using a Commodity Smartphone", is accepted and will appear at ACM MobiSys'24.
2024.2
CyPhy Lab moved to the School of Computing at KAIST.
Jun is appointed as an Associate Professor in the School of Computing at KAIST [link].
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