Contact George Frangou
Areas of expertise
- Autonomous Systems
- Instrumentation, Sensors and Measurement Science
- Safety, Resilience, Risk & Reliability
- Systems Engineering
Background
George Frangou is pursuing a PhD by Portfolio in Autonomous Systems Dynamics & Control at Cranfield University, UK, focusing on neuro-symbolic control for autonomous and safety-critical systems. His thesis, “Neuro-Symbolic Control for Safe Autonomous Systems: Architecture, Validation, and Operational Deployment Across Multi-Domain Transport” develops the Artificial Precognition Adaptive Cognised Control (APACC) architecture—a framework combining symbolic reasoning, predictive autonomy, and real-time learning for certifiable AI.
George is Founder and Chief Scientist of Qubittum Ltd (London), where he leads research on sovereign-AI and quantum-hybrid technologies for real-time autonomy. His doctoral work includes comparative evaluation of APACC against Honda Motor Europe’s autonomous control specifications using Lyft Level-5 simulation data and the UK Government SBRI Project Edge railway validation study.
His research interests include neuro-symbolic AI, predictive autonomy, embedded real-time systems, and safety certification under ISO 26262 and SOTIF. He has authored and patented innovations adopted across defence, automotive, and healthcare domains, and maintains an active commitment to ethical, reproducible, and safety-validated AI.
Research opportunities
- Neuro-symbolic AI and Cognitive Control Architectures – design and validation of hybrid symbolic–numeric systems for autonomous decision-making.
- Predictive and Precognitive Autonomy – developing anticipatory control frameworks such as the Artificial Precognition Adaptive Cognised Control (APACC) architecture.
- Embedded Real-Time Systems – real-time learning and control for safety-critical applications in automotive, rail, and aerospace domains.
- Quantum-Hybrid and Sovereign-AI Technologies – integration of quantum methods for cognitive optimisation and secure autonomy.
- Safety Certification and AI Assurance – compliance with ISO 26262 and SOTIF standards, ethical and certifiable AI design.
- Digital Twins and Validation Toolkits – open-source validation frameworks (e.g. APACC-Sim) for cross-domain simulation and certification testing.
- Applied Clinical and Defence AI – translational research applying predictive control and decision assistance in healthcare, defence, and surveillance systems.
Current activities
- Thesis submitted (1 November 2025) for the PhD by Portfolio in Autonomous Systems Dynamics & Control, School of Aerospace, Transport and Manufacturing, Cranfield University.
- Research focused on neuro-symbolic and sovereign-AI architectures for predictive and safety-critical control, culminating in the Artificial Precognition Adaptive Cognised Control (APACC) framework.
- Continuing development of quantum-hybrid and ethical AI systems through Qubittum Ltd, extending Cranfield research outcomes to commercial and defence applications.
- Preparing for viva voce examination (scheduled November 2025) and subsequent publication of doctoral findings.