Mohamed EL KANDRI
Biography
Mohamed, a fervent technology enthusiast and accomplished international speaker, channels his passion for emerging technologies, particularly Blockchain, into a global commitment to foster the adoption of value-added technological solutions. With an extensive background spanning 17 years across diverse sectors such as finance, marketing, education, hospitality, product design, big data analytics, and strategy, Mohamed has proven himself as a seasoned professional with a penchant for critical thinking and innovation.
His influence extends to the international stage as a renowned author, contributing articles on technology and mega projects to major media outlets worldwide, including publications in the PPP Bulletin in the UK, CNN Business Arabic, and various Blockchain-focused online platforms.
Research Interest
Abstract
Wave Equations and Their Emerging Applications in Artificial Intelligence and Cybersecurity
Wave equations, traditionally central to physics and engineering, have seen a resurgence in relevance through their novel applications in artificial intelligence (AI) and cybersecurity. This presentation explores the theoretical underpinnings of wave equations and demonstrates how their mathematical properties?particularly their ability to model information propagation, interference patterns, and signal evolution?lend themselves to innovative computational strategies in modern AI systems. In AI, wave-based models offer promising alternatives to classical neural architectures, enabling the development of more energy-efficient and interpretable algorithms, particularly in the realm of physics-informed neural networks (PINNs) and analog computing frameworks. In cybersecurity, wave dynamics are increasingly being leveraged in areas such as secure communication protocols, quantum cryptography foundations, and threat detection algorithms modeled on signal processing techniques. By drawing connections between partial differential equations, functional analysis, and modern computational methods, this talk aims to highlight how wave equations provide a rich mathematical toolkit for tackling pressing challenges in AI robustness and cyber threat mitigation. The session concludes with a discussion of ongoing research directions and potential interdisciplinary collaborations at the intersection of applied mathematics, computer science, and information security.
