Graduating Ph.D. Student, National University of Singapore
Mobile Sensing for Trustworthy Provenance of Physical and Digital Artifacts.
On the academic job market: actively seeking faculty or postdoctoral positions.
I am a graduating Ph.D. student at the National University of Singapore (NUS), advised by Prof. Mun Choon Chan (NUS) and Prof. Jun Han (KAIST). My research lies at the intersection of ubiquitous computing, mobile sensing and computer vision, with a central focus on building provenance evidence recovery and verification systems for physical and digital artifacts with commodity devices.
I develop deployable mobile systems that recover, preserve, and verify evidence of the origin, authenticity, ownership, and transformation history of physical products that people rely on in everyday life, such as food and protective materials, and digital content that underpins online trust, such as images and other media vulnerable to misuse, manipulation, or theft. Our work has attracted media attention and broader interest.
Beyond research, I enjoy traveling and photography, and I am a photography enthusiast.
I am on the academic job market and currently seeking faculty or postdoctoral positions.
A central premise of my research is that no single provenance signal is sufficient on its own. Beyond cryptographic records and other forms of extrinsic provenance, I investigate how visible physical signals, sensor fingerprints, and computational forensics can provide complementary intrinsic provenance for building trustworthy systems that remain robust under adversarial manipulation. Equally importantly, I aim to make provenance evidence recovery and verification ubiquitous - practical on commodity everyday devices rather than confined to specialized laboratories or proprietary platforms. Ultimately, my goal is to advance hybrid provenance systems that integrate these complementary signals to establish trustworthy provenance for physical and digital artifacts in real-world settings.
[Aug 2025] 🏆Received the NUS SOC Dean's Graduate Research Excellence Award. Award [slides]
[Jun 2025] 🏆Our poster “CAMPrints: Leveraging the “Fingerprints” of Digital Cameras to Combat Image Theft” won the Best Poster Award at ACM MobiSys'25. Best Poster Award
[Apr 2025] 📄Our paper “CAMPrints: Leveraging the “Fingerprints” of Digital Cameras to Combat Image Theft” was accepted to ACM MobiSys'25. Accepted Presented
[Jul 2024] 📄Our paper “Can I Hear Your Face? Pervasive Attack on Voice Authentication Systems with a Single Face Image” was accepted to USENIX Security'24. Accepted Presented
[Jun 2024] 🏆Our paper “PowDew: Detecting Counterfeit Powdered Food Products using a Commodity Smartphone” won the Best Paper Award at ACM MobiSys'24. Best Paper Award
