Security

4D Holographic Particle Tracking Velocimetry (PTV) (Feb 2026 - Present) Undergraduate Researcher | Computational Imaging Lab, UC Berkeley Advised by Dr. Nalini Singh & Mingxuan Cai Details Lagrangian Representation: Departed from traditional grid-based views by adopting a Lagrangian perspective, using precise floating-point coordinates to represent individual particles for off-grid trajectory tracking. Forward Modeling: Developed an analytical forward projection model to optimize optical kernels, improving the fidelity of in-line holographic reconstructions. Hybrid Initialization: Implemented an Angular Spectrum Method (ASM) combined with Gaussian representations for robust particle localization. Physics-Informed Neural Field: Represented complex velocity fields using Multi-Layer Perceptrons (MLPs) to regularize ill-posed inverse problems in fluid dynamics. Pipeline Engineering: Built an end-to-end pipeline integrating particle localization and 4D flow field reconstruction. Zero-Day Vulnerability Detection via Revelio (Mar 2026 - Present) Research Assistant | Sky Computing Lab, UC Berkeley Advised by Yiwei Hou ...

Course Overview An intensive, project-driven exploration of computer security principles and applied cryptography. The coursework focused on exploiting memory safety vulnerabilities at the binary level, identifying web application flaws, and engineering cryptographically secure systems from the ground up to resist active adversaries. Security Warning: Do not click this suspicious link Core Project: Secure File Sharing System (project2, Go) Architected a secure, end-to-end encrypted, and distributed file-sharing client in Go, capable of resisting active Datastore adversaries attempting to tamper with or leak data. ...