Implantable Medical Device Security
We investigate security and privacy vulnerabilities in IMDs such as pacemakers and ICDs. Our work includes out-of-band key exchange protocols and lightweight authentication mechanisms that operate under severe energy constraints.
Post-Quantum Cryptography
We design hardware accelerators for post-quantum cryptographic schemes with resistance to side-channel attacks. Our focus is on achieving high throughput and low power consumption for constrained embedded systems.
FPGA-based Intrusion Detection
We develop reconfigurable hardware-based intrusion detection systems (IDS) capable of real-time packet inspection and anomaly detection at line rate, suitable for IoT gateways and edge network infrastructure.
Edge AI & IoT Computing
We build ultra-low-power inference engines that bring AI capabilities to resource-constrained IoT and embedded systems, enabling on-device intelligence without cloud dependency.
Neuromorphic Computing
We explore brain-inspired hardware architectures for spiking neural networks (SNNs), targeting extreme energy efficiency for always-on sensing and inference in embedded and biomedical systems.
Brain-Computer Interfaces
We design hardware platforms for next-generation neural implants, including real-time signal acquisition, on-chip neural decoding, and secure wireless telemetry for closed-loop neuromodulation systems.
