Bangjie Sun @ NUS

Ph.D. Candidate, School of Computing, National University of Singapore

Passionate researcher in mobile sensing systems with cameras.

About Me

I am a passionate researcher in mobile sensing systems and computer vision. I am currently pursuing my Ph.D. in National University of Singapore (NUS). My advisors are Prof. Mun Choon Chan in NUS and Prof. Jun Han in KAIST. I am approaching graduation and actively seeking job opportunities.

Research Interests

My research interests are in the intersection of mobile sensing systems and computer vision, focusing on building reliable vision-based Cyber-Physical Systems (CPS) and addressing associated security and privacy challenges.

Mobile Sensing Systems Cyber-Physical Systems (CPS) Computer Vision Knowledge-Driven AI

Recent News

[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

[Apr 2024] 📄Our paper “PowDew: Detecting Counterfeit Powdered Food Products using a Commodity Smartphone” is accepted and will appear at ACM MobiSys'24. Accepted
📝Our poster “Towards Counterfeit Powdered Food Products Detection using a Commodity Smartphone” is accepted and will appear at ACM MobiSys'24. Accepted

[Sep 2023] 📄Our paper “Testing Masks and Air Filters With Your Smartphones” is accepted and will appear at ACM SenSys'23. Accepted Presented

[Jun 2022] 🏆Our poster “On utilising smartphone cameras to detect counterfeit liquid food products” won the Best Poster Award at ACM MobiSys'22. Best Poster Award Presented

[May 2022] 📝Our poster “On utilising smartphone cameras to detect counterfeit liquid food products” is accepted and will appear at ACM MobiSys'22. Accepted

[Mar 2022] 📄Our paper “Detecting counterfeit liquid food products in a sealed bottle using a smartphone camera” is accepted and will appear at ACM MobiSys'22. Accepted

[Nov 2021] 📰Our paper is featured on several news/media including: Forbes, The Register, Y Combinator's Hacker News, Techlog360, NewScientist, SPIEGEL, TechRadar, Bitdefender and others. Media Features

[Oct 2021] 📝Our poster “On Utilizing Smartphone Time-of-Flight Sensors to Detect Hidden Spy Cameras” is accepted and will appear at ACM SenSys'21. Accepted
📄Our paper “LAPD: Hidden Spy Camera Detection using Smartphone Time-of-Flight Sensors” is accepted and will appear at ACM SenSys'21. Accepted

[Aug 2020] 🎓I join National University of Singapore as a graduate tutor and Ph.D. candidate.

[Jul 2020] 📄Our paper “Exploring Eye Movement Data with Image-Based Clustering” is published at Journal of Visualization. Published

[May 2020] 🎓I complete my Bachelor's degree in Computer Science in National University of Singapore.

[Sep 2019] 📄Our paper “EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data” is published at VINCI'2019. Published

[Feb 2019] 🌍I visit Eindhoven University of Technology as an exchange student.

[May 2018] 💼I start my six-month internship as a software engineer at Paypal Singapore Development Centre.

[Apr 2018] 🎮Our VR detective game prototype “ByStanders” is demonstrated in the 12th SoC Term Project Showcase (STePS).

[Aug 2016] 🎓I join National Univeristy of Singapore for my Bachelor's degree in Computer Science.

Connect

Email Google Scholar LinkedIn GitHub ResearchGate ORCID Instagram Download CV

About Me

Research Interests

Recent News

Connect

Publications

Research Focus

Filter Publications

CAMPrints: Leveraging the “Fingerprints” of Digital Cameras to Combat Image Theft

Can I Hear Your Face? Pervasive Attack on Voice Authentication Systems with a Single Face Image

PowDew: Detecting Counterfeit Powdered Food Products using a Commodity Smartphone

Testing Masks and Air Filters With Your Smartphones

Detecting Counterfeit Liquid Food Products in a Sealed Bottle Using a Smartphone Camera

LAPD: Hidden Spy Camera Detection using Smartphone Time-of-Flight Sensors

Exploring eye movement data with image-based clustering

A Real-time Caustics and Global illumination Rendering Framework with RTX Technology

EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data

Experience & Teaching

Education

Ph.D. in Computer Science

Exchange Student

Bachelor's in Computer Science

Teaching Experience

Graduate Tutor

Teaching Assistant

🚀Project advisor for Orbital 🏆Best Advisor Award

Work Experience

Research Assistant

Graduate Tutor

Software Engineer Intern

Gallery

Talks

Teasers

Projects & Vision

Impact Highlights

Physical Trust at Scale

Authentic Digital Media

Resilient CPS Security

Current Focus Areas

Physical Product Authentication

Digital Content Owner Attribution

Discovery of Vulnerability

Future Roadmap

Theme 1: Physical-World Forensics

Theme 2: Sensor Identity Stack

Theme 3: Adversarial Arms Race