About Me
I am a graduate student in Computer Science at Purdue University, pursuing a PhD degree 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, as well as the intersection of those topics in domains such as autonomous vehicle security.
My awards include:
- 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
MSc in Computer Science, 2018
CalState East Bay
BSc in Computer Science, 2016
CalState East Bay
Recent Publications
(2024).
VOGUES: Validation of Object Guise using Estimated Components.
USENIX.
(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.
(2022).
Evaluating perception attacks on prediction and planning of autonomous vehicles.
USENIX Security.
(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.