People

Dr. Fairouz is an Assistant Professor in the Computer Engineering Department at Kuwait University and a founding member of KSIS Lab. He holds a Ph.D. in Computer Engineering from Texas A&M University (2019) and is an Academic Visitor (2024–2025) at the Department of Engineering Science, University of Oxford, where he pursues collaborative research on secure chiplet architectures and trusted memory systems. His research addresses hardware security at the microarchitecture level — examining how security properties can be designed into processors, memory subsystems, and interconnect fabrics rather than added as afterthoughts. He leads the Chiplet-Knight project, which investigates security protocol design, integrity mechanisms, and trusted computing base reduction strategies for chiplet-based architectures, including the security implications of die-to-die interconnect standards such as UCIe and EMIB. His broader research spans GPU memory protection, FPGA-based hardware acceleration, domain-specific compression architectures, heterogeneous CPU–FPGA and CPU–GPU systems, vehicle security, and robotics AI.

• Secure Computer Architecture
• Chiplet-Based Systems
• GPU Security
• Memory Security
• Hardware Acceleration
• FPGA Systems
• Compression Architectures
• Heterogeneous Computing
• ASIC and VLSI Design
• Vehicle Security
• Robotics AI

Dr. Aljuraidan is an Assistant Professor in the Computer Engineering Department at Kuwait University and a founding member of KSIS Lab. He holds a Ph.D. in Electrical and Computer Engineering (2018) and a M.Sc. in Information Security (2011), both from Carnegie Mellon University, where he graduated with a 4.00 GPA in each programme. His research addresses the security and privacy of modern software platforms — from mobile operating systems and IoT devices to cloud-connected automation services. He studies information-flow control policies for tracking and enforcing data sensitivity, access control mechanisms for multi-party systems, privacy-preserving system design, and the security economics of rational user and software behaviour. He serves as Principal Investigator on a three-year KFAS-funded project on automated privacy violation detection and sensitivity classification in instant messaging platforms, drawing on formal policy models, natural language processing, and information-flow analysis.

• Cybersecurity
• Information Flow Control
• Access Control
• Mobile OS Security
• Android Security
• IoT Security
• Privacy
• Security Economics

Dr. Mohammed is an Assistant Professor in the Computer Engineering Department at Kuwait University and a founding member of KSIS Lab. He holds a Ph.D. in Computer Science from the University of Virginia (2018) and a M.Sc. in Information Security from Carnegie Mellon University. He is a Visiting Researcher at University College London and Newcastle University (2024–2025). His research spans the theoretical and applied dimensions of cryptography, quantum computation, and machine learning security. He investigates adversarial robustness of machine learning models — including deep forests and ensemble methods — the security of federated and multi-party learning systems under poisoning and evasion attacks, quantum-secure cryptographic protocol design, and the computational complexity of cryptographic primitives. He also leads applied AI research, serving as Principal Investigator on a three-year KFAS-funded project applying machine learning to disease prediction and intelligent automation in aquaculture (KFAS PN23-14SE-1992).

• Cryptography
• Quantum Computing
• Machine Learning Security
• Computational Complexity
• Adversarial ML
• Privacy-Preserving Systems
• Algorithms
• Federated Learning Security