Implantable Medical Devices
Security and privacy protocols for IMDs, such as pacemakers and neural implants, under extreme resource constraints.
Post-Quantum Cryptography
Hardware accelerators for lattice-based cryptographic schemes resistant to quantum attacks.
FPGA-based IDS
Reconfigurable hardware intrusion detection systems for real-time network threat identification.
Edge AI Computing
Ultra-low-power inference engines for deploying AI models on IoT and embedded edge devices.
Neuromorphic Computing
Brain-inspired hardware architectures for energy-efficient spiking neural network acceleration.
Brain-Computer Interfaces
Hardware platforms for next-generation neural implants with real-time signal processing and secure telemetry.
We are actively recruiting motivated students at all levels, BS (final year projects), MS, and PhD, with a strong background in digital design, embedded systems, computer architecture, or hardware security. Prospective students should email their CV and a brief statement of interest.
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