I am a Postdoctoral Researcher at Clemson University in the TigerSec Lab.
My work sits at the intersection of 3D perception (point clouds) and machine-learning security, with a focus on autonomous systems.

Research

• Robust 3D perception — efficient, geometry-aware deep learning for point-cloud classification, segmentation, and 3D detection.
• Adversarial perception security — analyzing and defending against realistic (including physical-world) attacks that cause perception failures.
• Secure autonomous systems — bridging ML threat models and real deployment risks in safety-critical autonomy stacks.

Current focus

I develop practical evaluation and defense methods to improve the robustness and reliability of perception systems under diverse environmental conditions and adversarial perturbations.

I’m open to collaborations on 3D perception, adversarial robustness, and security for autonomous platforms.