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Dr. Muhammad Amir Quraishi
Securing Intelligent Infrastructure: Cyber-Physical AI Systems for Resilient, Trustworthy, and Autonomous Critical Environments
Abstract:
Modern critical infrastructure is rapidly evolving into interconnected cyber-physical systems where artificial intelligence is embedded across edge devices, industrial control systems, autonomous platforms, energy networks, and defense-grade operational environments. While this transformation enables higher levels of automation, efficiency, and operational intelligence, it also introduces systemic risks related to cybersecurity, operational safety, and resilience under adversarial conditions.
This keynote presents an industry-focused perspective on designing secure and resilient AI-enabled cyber-physical systems where intelligence, control, and cybersecurity are engineered as a unified system rather than layered as separate components. It emphasizes architectural principles required to ensure that AI systems operating in mission-critical environments remain trustworthy, adaptive, and resilient under uncertainty, constraints, and attack scenarios.
The session explores three core domains: secure edge AI systems operating in constrained and adversarial environments; cyber-physical co-designed automotive and industrial systems requiring safety-critical and fault-tolerant architectures; and AI-driven optimization of distributed infrastructure systems including energy grids and industrial
scale operational networks. Across these domains, the focus is on embedding cybersecurity directly into AI system design to enable continuous monitoring, adaptive response, and operational resilience.
The keynote further highlights practical approaches in adversarial machine learning, reinforcement learning for resilient system behavior, and secure system architecture design that enable autonomous systems to operate reliably in environments where failure is not an option.
Ultimately, the session reframes artificial intelligence as a foundational component of secure, resilient, and autonomous critical infrastructure systems.
Profile:
Dr. Muhammad Amir Quraishi is a senior technology and business executive with over 21 years of global leadership experience in Cybersecurity Architecture, Artificial Intelligence, and mission-critical systems across defense, national security, energy, and regulated industries in the EMEA region.
He is recognized for leading and contributing to large-scale cybersecurity and AI transformation initiatives spanning defense organizations, government programs, and enterprise-critical infrastructure environments. His work focuses on the design and implementation of secure-by-design architectures for cyber-physical systems, including defense-grade security operations centers (SOC), multi-tenant security platforms, and enterprise cyber resilience frameworks.
Dr. Quraishi has held senior advisory and technical leadership roles across major defense and government programs, including the UK Ministry of Defence ecosystem and Qatar Armed Forces, as well as enterprise transformations for organizations such as Allen & Overy, McLaren Racing, ABB, SABIC, Sidra Medicine, and other global industrial and financial institutions. His expertise spans cybersecurity strategy, secure AI integration, operational technology (OT) security, and enterprise resilience engineering.
He is recognized for original contributions to multi-tenant cybersecurity architectures for defense and industrial systems, AI-enabled threat detection frameworks, and cyber physical security models designed for high-assurance and mission-critical environments.
He is a Fellow of the British Computer Society (BCS), an invitation-only Distinguished Fellow of the Soft Computing Research Society (SCRS), and serves as an Assessor for the SCRS Fellow Programme, evaluating senior researchers and industry leaders. He is also a Senior Member of IEEE, the IEEE Computer Society, and the IEEE Robotics & Automation Society, and an invited Program Committee Member for IEEE COMPSAC 2026.
Dr. Quraishi is a Platinum Award recipient of the 2026 Claro® Awards for AI Excellence, recognizing top-tier global leadership and innovation in artificial intelligence, machine learning, and applied data-driven systems.
His technical expertise includes cybersecurity architecture for mission-critical systems, SOC modernization, AI-driven threat detection, secure OT/IT convergence, cyber physical resilience engineering, and autonomous infrastructure security design.
Through his work across defense, government, and industry, Dr. Quraishi is recognized as a global voice in secure artificial intelligence systems and the future of resilient intelligent infrastructure. Dr. Quraishi contributes to the evolving field of secure artificial intelligence by advancing architectures and methodologies that integrate cybersecurity, resilience, and intelligence into the foundation of modern cyber-physical systems.
Areas of Expertise
• Artificial Intelligence (AI) & Machine Learning Systems
• Cybersecurity Architecture & Threat Modeling
• Cyber-Physical System Design
• Edge Computing & IoT Security
• Automotive Embedded Systems Security
• Smart Grid & Microgrid Intelligence
• Reinforcement Learning & Multi-Agent Systems
• Critical Infrastructure Protection
• System Resilience Engineering
• Secure AI Deployment Strategies