Graduating Ph.D. Student, National University of Singapore
Mobile AI for safety- and trust-critical real-world problems
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 sits at the intersection of mobile sensing and applied artificial intelligence, with a focus on safety- and trust-critical real-world problems. At its core, I build ubiquitous and physically grounded provenance systems — deployable on commodity devices — to verify the origin, authenticity, ownership, and transformation history of physical products and digital content.
Looking ahead, I aim to extend provenance in two directions: toward accountable human-AI workflows, where provenance supports auditable collaboration between humans and AI; and toward trustworthy physical AI systems, where provenance grounds the actions and decisions of AI agents operating in the physical world.
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.
My research lies at the intersection of mobile sensing and applied AI for safety- and trust-critical real-world problems. My core focus is on building ubiquitous and physically grounded provenance systems for physical and digital artifacts using commodity devices.
I study how multiple forms of evidence, including visible physical signals, sensor fingerprints, computational forensics, and digital records, can be combined to support robust provenance. This perspective is grounded in a simple premise: no single provenance signal is sufficient on its own, especially in adversarial settings.
A key goal of my work is to make provenance recovery and verification practical in everyday life. Rather than relying on specialized infrastructure, I build deployable systems on smartphones and other widely available devices so that trustworthy verification becomes accessible at the point of need.
Looking ahead, I aim to advance hybrid provenance as a foundation for artifact verification, accountable human-AI collaboration, and physical AI. In this vision, provenance supports not only authenticity and attribution, but also auditable records of how artifacts and decisions are created, transformed, and acted upon.
2026
I was selected as the ACM MobiSys Rising Star 2026 for research on building widely usable provenance systems using mobile devices.
Our paper "What Do Neighbors Know? Open-World Semantic Inference Attack on Intermediate Representations" was accepted to NetAISys'26 co-located with MobiSys'26 in Cambridge.
Our poster "Poster: Discovering Unanticipated Semantic Leakage from Intermediate Representations" was accepted to ACM MobiSys'26.
Our paper "RD-PHash: A Robustness Enhancement for DCT-Based Perceptual Hashing against Adversarial Bit-Flipping Attacks" was accepted to ArtSec'26 co-located with IEEE S&P.
Our paper "WRATH: Turning Watermark Robustness Against Itself via a Watermark-Agnostic Black-Box Invalidation Attack" was accepted to IEEE S&P Cycle 2. Acceptance rate: 12.6% (135 out of 1070).
2025
Received the NUS SOC Dean's Graduate Research Excellence Award. [slides]
Our poster “CAMPrints: Leveraging the “Fingerprints” of Digital Cameras to Combat Image Theft” won the Best Poster Award at ACM MobiSys'25.
Our paper “CAMPrints: Leveraging the “Fingerprints” of Digital Cameras to Combat Image Theft” was accepted to ACM MobiSys'25.
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.
Our paper “PowDew: Detecting Counterfeit Powdered Food Products using a Commodity Smartphone” won the Best Paper Award at ACM MobiSys'24.
Our paper “PowDew: Detecting Counterfeit Powdered Food Products using a Commodity Smartphone” was accepted to ACM MobiSys'24.
Our poster “Towards Counterfeit Powdered Food Products Detection using a Commodity Smartphone” was accepted to ACM MobiSys'24.
2023
Our paper “Testing Masks and Air Filters With Your Smartphones” was accepted to ACM SenSys'23.
2022
Our poster “On utilising smartphone cameras to detect counterfeit liquid food products” won the Best Poster Award at ACM MobiSys'22.
Our poster “On utilising smartphone cameras to detect counterfeit liquid food products” was accepted to ACM MobiSys'22.
Our paper “Detecting counterfeit liquid food products in a sealed bottle using a smartphone camera” was accepted to ACM MobiSys'22.
2021
Our paper was featured on several news/media including: Forbes, The Register, Y Combinator's Hacker News, Techlog360, NewScientist, SPIEGEL, TechRadar, Bitdefender and others.
Our poster “On Utilizing Smartphone Time-of-Flight Sensors to Detect Hidden Spy Cameras” was accepted to ACM SenSys'21.
Our paper “LAPD: Hidden Spy Camera Detection using Smartphone Time-of-Flight Sensors” was accepted to ACM SenSys'21.
2020
I joined National University of Singapore as a graduate tutor and Ph.D. candidate.
Our paper “Exploring Eye Movement Data with Image-Based Clustering” was published in Journal of Visualization.
I completed my Bachelor's degree in Computer Science at National University of Singapore.
2019
Our paper “EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data” was published at VINCI'2019.
I visited Eindhoven University of Technology as an exchange student.
2018
I started my six-month internship as a software engineer at Paypal Singapore Development Centre.
Our VR detective game prototype “ByStanders” was demonstrated in the 12th SoC Term Project Showcase (STePS).
2016
I joined National Univeristy of Singapore for my Bachelor's degree in Computer Science.
