Projects

Research on rethinking and designing security support for chiplet-based architectures, targeting trusted computing base reduction, secure die-to-die interconnects, and coherence hardening.

Defined and evaluated the Competition-based Sorting Network (CSN) framework for hardware accelerators, achieving up to 11× gain over bitonic sort on FPGA and 3.32× speedup on GPU.

A KU-funded project designing and evaluating a lightweight Plain-text Incremental Compression (TIC) technique with fast lookup ability, targeting hardware-level deployment in memory-constrained systems.

A KFAS-funded project developing machine learning techniques to dynamically learn user privacy preferences and automatically detect when sensitive image content is at risk of inappropriate disclosure in instant messaging platforms.

A KFAS-funded project developing automated machine learning systems for disease prediction and intelligent monitoring in Kuwait's aquaculture sector, in collaboration with the Kuwait Institute of Scientific Research.

Research direction combining quantum computing and federated learning for security-oriented applications.

Research on robustness of machine learning models under adversarial conditions.