Research
My research sits at the intersection of AI systems, computer architecture, and hardware security. I am particularly interested in how we can compress and deploy AI models efficiently on resource-constrained hardware, and how we ensure those systems remain secure against physical and algorithmic attacks.
AI Systems & Compression
Model compression, efficient inference, and hardware–software co-design for machine learning workloads.
AI + Robotics / Embedded Systems
Deploying AI workflows on resource-constrained platforms — embedded systems, microcontrollers, and edge devices.
Hardware Security
Side-channel attacks, cryptographic hardware, and secure architectures for machine learning systems.
Research Experience
Research Assistant
Florida Institute for Cybersecurity Research (FICS),
University of Florida
- Designed and implemented efficient cryptographic algorithms for securing neural network models and cryptographic frameworks.
- Investigated side-channel attack vectors on hardware cryptographic implementations and proposed novel countermeasures.
- Conducted design verification using SystemVerilog and UVM to validate security properties of hardware modules.
Publications
Projects
AI Model Compression
AI + System Workflows
AI on Embedded Systems
Education
M.S. Electrical & Computer Engineering
University of Florida · Hardware Security & Design Verification
B.E. Electrical & Electronics Engineering
· Computer Architecture & Digital Systems
Contact
I am actively looking for PhD opportunities for Fall 2026. If your lab works on AI systems, hardware security, computer architecture, or related areas, I'd love to connect.
Response time: usually within 48 hours.