resilient cyber-physical

Trustworthy AI Begins in the Data Center

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B9 R2325

Debates on trustworthy AI focus on model bias, alignment, and explainability. Yet, trust in AI is only as strong as the security and resilience of the infrastructure it runs on.

Computer science study reveals potential  privacy risk in virtual reality headsets

1 min read ·
A KAUST study shows that motion sensors in virtual reality headsets can capture signals associated with visual perception, highlighting a potential new privacy risk.

Zaint A. Alexakis

Postdoctoral Research Fellow, Electrical and Computer Engineering
Zaint Alexakis’ research focuses on cybersecurity and resilience of cyber-physical energy systems, renewable energy integration, power system real-time simulation and modeling, and power system stability and control.

Tao Ni

Assistant Professor, Computer Science
Professor Tao Ni (Tony) is focused on securing AI-driven systems, from large language models and autonomous agents to robots, extended reality devices, and IoT platforms, to enable trustworthy computing in critical infrastructure. His approach combines rigorous attack and defense research with hardware-software co-design and secure, efficient on-device AI.

Resilient operation of future low-carbon cyber-physical power grids

Fei Teng, Lecturer, Electrical and Electronic Engineering

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B9 L2 R2322 H1

Intelligent monitoring, communication and control have been widely used in power systems to facilitate the cost-effective integration of renewable energy to achieve decarbonization.

Ali Shoker

Research Associate Professor, Computer Science
Ali Shoker, a Research Associate Professor at KAUST leading the Cyber Security and Resilience Technology lab. His research is focused on Applied Cyber Security and Resilience for real-world applications including SOC (SIEM, SOAR, XDR, IDS, IPS), Trustworthy AI, satellite systems, autonomous vehicles, fintech, Blockchain, RF Resilience, etc.