I am a Computer Science Ph.D. student at the University of Texas at Arlington and a part of the Cyber-Physical Systems Security Lab led by Dr. Habeeb Olufowobi. I develop tools and frameworks to uncover vulnerabilities in machine learning systems, with a primary focus on the security, privacy, and efficiency of models, particularly graph-based approaches. I extend this work to safety-critical domains such as vehicular systems, where I study both the attack surfaces of in-vehicle networks and strategies for resource-efficient edge AI. My broader goal is to advance resilient, secure, and adaptive intelligent infrastructures. Beyond cyber-physical systems, I also explore applications of AI in healthcare and materials science, including explainability methods for health AI and techniques to extract microstructural fingerprints from complex data.

Latest News

• September 2025: I was selected as a reviewer for ICLR 2026.
• August 2025: Our paper “Beyond Detection: Comparative Explainability Study on Trypanosoma cruzi Using CAMs and DETR Attention” got accepted at IEEE BHI’25.
• July 2025: I was selected as a reviewer for RTSS 2025.
• July 2025: Our paper “FedVLM: Scalable Personalized Vision-Language Models through Federated Learning” got accepted at ECAI’25.
• May 2025: I returned to the Los Alamos National Lab as an intern with the Materials Science and Technology (MST) Division’s MST-8 group.
• May 2025: I was selected as a reviewer for BMVC 2025.
• September 2024: I was selected as a reviewer for ICLR 2025.
• May 2024: I started my internship as an Applied Machine Learning Research Fellow at the Los Alamos National Lab.
• April 2024: I was awarded the Kelcy Warren Graduate Fellowship for Engineering at UTA.
• March 2024: I received the Travel Grant Award to attend The Network and Distributed System Security Symposium (NDSS) 2024.
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