I am a graduating Ph.D. student at the National University of Singapore (NUS), advised by Prof. Chan Mun Choon (NUS) and Prof. Jun Han (KAIST). My research sits at the intersection of mobile sensing and computer security, with a central focus on building deployable provenance systems for physical and digital artifacts using commodity devices.

I develop mobile systems that recover and verify evidence of origin, authenticity, ownership, and transformation history for physical products used in everyday life and digital content that underpins online trust. Looking ahead, I aim to extend provenance from artifact verification to accountable human-AI workflows, so that provenance can support not only authenticity and attribution, but also auditable collaboration between humans and AI.

Beyond research, I enjoy traveling and photography, and I am a photography enthusiast.

• Mobile and Sensing Systems (Primary)
• Security and Privacy (Secondary)

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 study how visible physical signals, sensor fingerprints, and computational forensics provide complementary intrinsic provenance for building trustworthy systems that remain robust under adversarial manipulation. I also aim to make provenance recovery and verification practical on commodity everyday devices rather than confined to specialized laboratories or proprietary platforms. Ultimately, I seek to advance hybrid provenance systems that integrate these signals not only to verify the origin, authenticity, and transformation history of physical and digital artifacts, but also to enable accountable human-AI workflows in which transformations, interventions, and responsibility can be meaningfully audited.

For more information, please refer to my personal website here.