Speakers

I am a systems architect at the intersection of physics-constrained hardware and high-assurance AI, with classical training in electronics, embedded engineering, control systems, and full-stack software—grounded by a PhD in humanoid robotics and an MSc in Internet Systems. Twenty-seven years of continuous formal study, academic supervision, and industry mentorship keep my work anchored in defensible theory. I translate advanced methods into decision-grade outcomes, lead hackathons that accelerate experimentation, and engage executives through talks, workshops, and technical writing. I build with generative AI, fuzzy logic, evolutionary algorithms, reinforcement learning, spiking neural networks, graph theory, multiscopic topographical information structures, cloud-native ML, formal methods, and quantum-inspired algorithms. I have built complex, distributed cyber-physical and data-intensive systems across commercial satellite technologies; aerospace and defence; RF, microwave, and baseband analytics; telecommunications spanning mobile devices, base stations, network protocols, and 2G/3G/4G/LTE qualification; semiconductor and advanced manufacturing software, including time-critical workflows and high-fidelity digital twins for real-world testing where failure was permissible; MEMS and sensor ecosystems, including calibration frameworks, sensor hubs, and sensor fusion; ultra-low-power multi-protocol RF system-on-chip verification; and industrial manufacturing test automation at scale. I have developed adaptive control strategies for safety-critical healthcare systems, including medical devices and distributed e-health systems, using clinical interoperability standards. I have engineered rehabilitation exoskeleton systems integrating EMG sensing with cloud computing, AI, and immersive feedback modalities, alongside IoT and assisted-living systems for human activity monitoring.