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KSIS Lab

Kuwait University Secure Computing and Intelligent Systems Lab

Advancing Secure and High-Performance Computing Systems

KSIS Lab conducts research in secure computing, computer architecture, intelligent systems, hardware acceleration, and emerging high-performance computing platforms.

Research

Research Highlights

Active research areas across secure and high-performance computing.

Secure Computer Architecture

Designing processors and microarchitectures with security as a primary concern, spanning cache and memory integrity, GPU security, and trusted execution environments.

  • Hardware Security
  • Memory Security
  • GPU Security
  • Trusted Architectures
  • Secure Cache Systems

Chiplet-Based Systems

Investigating disaggregated, multi-die computing architectures and their security, integrity, and interconnect implications for scalable and modular system design.

  • Chiplet Security
  • Secure Interconnects
  • Trusted Computing Base Reduction
  • Heterogeneous Chiplet Platforms

Cybersecurity and Privacy

Research in privacy-preserving systems, information-flow enforcement, mobile platform security, IoT security, and automated privacy violation detection.

  • Information-Flow Control
  • Access Control
  • Mobile OS Security
  • IoT Security
  • Privacy Violation Detection

Cryptography and Quantum Computing

Advancing cryptographic protocols, quantum computation models, and complexity-theoretic foundations for secure and quantum-resilient system design.

  • Cryptographic Protocols
  • Quantum Computing
  • Quantum Federated Learning
  • Computational Complexity

Projects

Featured Projects

A selection of ongoing and recent projects from the lab.

Secure Computer Architecture / Chiplet-Based SystemsActive

Chiplet-Knight

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

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Hardware AccelerationCompleted

Competition-style Sorting Networks

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.

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Data Compression SystemsActive

TIC Compression

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.

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Publications

Recent Publications

A preview of recent and forthcoming publications from the lab.

Journal2025

Competition-style Sorting Networks (CSN): A Framework for Hardware-based Sorting Operations

A. Fairouz, J. Aljuraidan, A. Mohammed

IEEE Transactions on Computers (September 2025)

Journal2024

TinyBERT for Branch Prediction in Modern Microprocessors

A. AlAjmi, B. AlSarraf, Z. Abualhassan, A. Fairouz, I. Ahmad

Neural Computing and Applications, Springer Nature, vol. 37, pp. 1771–1782 (2024)

Journal2020

Hardware Acceleration of Hash Operations in Modern Microprocessors

A. Fairouz, M. Abusultan, S. Fedorov, S. P. Khatri

IEEE Transactions on Computers (July 2020)

News

Latest News

Recent announcements and updates from KSIS Lab.

Lab Updates

Research Activities in Secure and Intelligent Computing

KSIS Lab brings together research in secure computer architecture, cybersecurity, cryptography, intelligent systems, and hardware acceleration.

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Projects

Chiplet-Knight: Secure Chiplet-Based Architecture Research

KSIS Lab research includes secure chiplet-based architectures and reduced trusted computing base designs.

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Grants

Applied AI Research for Aquaculture Automation

KSIS Lab faculty are involved in applied AI research for aquaculture automation and disease prediction.

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Get involved

We welcome students, collaborators, and researchers interested in secure and high-performance computing.