About Me
I am a Signal and Image Processing Engineer at Lawrence Livermore National Laboratory, currently working on computer vision projects for defense applications. I received my PhD in Computer Science from Purdue University under Dr. Z. Berkay Celik. I received my Master’s and Bachelor’s degree in Computer Science from California State University East Bay. My research interests cover machine learning, computer vision, and security, focusing on their intersection in the security in perception for autonomous systems.
My awards include:
- Student Advisory Council Member, NSF AI Institute for Agent-based Cyber Threat Intelligence and Operation (ACTION) 2024-2025
- PhD Candidate Presenter at the Center of Academic Excellence in Cyber Research (CAE-R 2024)
- Selected for CPS Rising Stars 2024 (16.36% acceptance rate, April 8th, 2024)
- Emil Stefanov Memorial Fellowship (April 8th, 2024)
- National Security Innovation Network X-Force Fellowship (June 5th, 2023)
- Purdue University Graduate Teaching Award (April 15th, 2023)
- ISOC Symposium on Vehicle Security and Privacy Best Demo Award Runner Up (February 27, 2023)
- ISOC Symposium on Vehicle Security and Privacy Travel Grant Awardee (2023)
- General Motors Security AutoDriving Security Award (April 24, 2022)
Interests
- Artificial Intelligence
- Computer Vision
- Cyber/Physical Security
Education
PhD in Computer Science, 2025
Purdue University
MSc in Computer Science, 2018
CalState East Bay
BSc in Computer Science, 2016
CalState East Bay
Recent Publications
(2025).
Investigating Physical Latency Attacks against Camera-based Perception.
IEEE Security and Privacy Symposium.
(2024).
Physical ID-Transfer Attacks against Multi-Object Tracking via Adversarial Trajectory.
Annual Computer Security Applications Conference (ACSAC).
(2024).
VOGUES: Validation of Object Guise using Estimated Components.
USENIX Security Symposium.
(2023).
Discovering Adversarial Driving Maneuvers against Autonomous Vehicles.
USENIX Security Symposium.
(2023).
Demo: Physically Hijacking Object Trackers (Runner up for Best Demo Award).
ISOC Symposium on Vehicle Security and Privacy 2023.
(2023).
That Person Moves Like A Car: Misclassification Attack Detection for Autonomous Systems Using Spatiotemporal Consistency.
USENIX Security Symposium.
(2022).
Evaluating perception attacks on prediction and planning of autonomous vehicles.
USENIX Security Symposium.
(2022).
Physical Hijacking Attacks against Object Trackers.
ACM Conference on Computer and Communications Security.
(2022).
DriveTruth: Automated Autonomous Driving Dataset Generation for Security Applications (Winner of General Motors AutoDriving Security Award).
International Workshop on Automotive and Autonomous Vehicle Security.