Sameh Yamany

Sameh Yamany writes deeply technical opinion pieces on how to test and validate emerging communications and security infrastructures, with a consistent focus on making quantum-safe and AI-driven networks behave reliably at scale. His work for EE Times and its regional editions centers on turning complex topics such as post‑quantum cryptography, quantum key distribution, hyperscale data centers, and 5G convergence into concrete test strategies and performance requirements. He writes from an engineering and vendor-side perspective, drawing on his role as chief technology leader at Viavi Solutions to frame testing as a practical, system-wide discipline rather than a checklist.

Quantum-safe cryptography and Q-Day readiness

A defining strand of Yamany’s coverage is the operational readiness of networks for the coming “Q‑Day” moment, when quantum computing can break widely used cryptography. In his article on Q‑Day test considerations, he lays out five core elements for testing, verifying, optimizing, and certifying quantum-safe preparations, stressing that the threat of “harvest now, decrypt later” means organizations must act before that date arrives. He frames quantum-safe defense as a choice among three primary architectural paths - post‑quantum cryptography, quantum key distribution, and hybrid strategies - and then focuses on the testing complexity each path introduces.

The piece goes beyond algorithms to look at deterministic latency, zero key collisions, and the ability to handle millions of concurrent secure sessions, treating key distribution performance as a central network KPI.

His guidance emphasizes validation frameworks that emulate realistic user traffic and application patterns, measuring throughput, processing latency, packet delay variation, and user‑experience metrics under peak load. He also highlights the quantum bit error rate as a critical indicator for optical degradation or eavesdropping, and calls for digital twins of networks to subject quantum channels to controlled stress conditions such as in‑band noise, polarization disturbances, reflections, and interference from dense wavelength division multiplexing signals.

Across this coverage, he insists that hybrid architectures must be validated at the quantum‑classical interface, including fallback mechanisms where systems automatically revert to post‑quantum software encryption when physical QKD links fail. He extends this rigor into key management systems, arguing for cross‑vendor compliance validation and resilience testing that deliberately injects key delivery delays, corruption, or loss to confirm that applications can request new keys or fall back without dropping sessions.

Test and measurement strategies across critical infrastructure

Yamany’s broader test and measurement work situates quantum security within a larger shift in how critical infrastructure is built and validated. In his Viavi Perspectives piece on how test and measurement will evolve in the new year, he describes a convergence of security, AI, photonics, and sensing that forces networks, data centers, and other critical systems to be designed and tested as tightly coupled environments rather than isolated layers. He argues that AI data centers in particular require fabric‑aware deployment and testing, because synchronized GPU workloads can overwhelm traditional throughput‑based validation.

The article details the need to model high‑pressure traffic patterns such as all‑reduce operations, bursty east‑west flows, and congestion cascades, with special attention to tail‑latency sensitivity and “straggler” packets that can stall entire training jobs. He presents cost‑efficient emulation of GPU workloads as essential for testing these new fabrics, linking performance validation directly to AI outcomes. In the same piece, he extends test imperatives to quantum‑safe cryptography and other advanced systems, calling for closed‑loop testing where AI decisions are constantly checked against real‑world performance, and for validation of crypto‑agility, performance under load, and key lifecycle management at scale.

The common thread in this work is his insistence that test and measurement must prove resiliency and trust across interconnected systems, not just confirm that individual components meet specifications.

5G, hyperscalers, and cloud–network convergence

Another recurring focus is the collision and collaboration between hyperscale cloud providers and 5G networks.

In his article “Hyperscalers and 5G: Collision or Collusion?”, originally published by EE Times and also carried by EE Times Asia, Yamany examines how 5G‑hyperscale convergence can reshape services for businesses, cities, and consumers, while noting that engineers must collaborate to deliver on that promise. He explores the technical and organizational tensions at this intersection, framing hyperscalers not just as hosting platforms but as active participants in telecom infrastructure design.

The piece reflects his broader habit of viewing new architectures through the lens of test and measurement, highlighting the need for coordinated validation efforts across vendor boundaries as cloud and network stacks merge.

Role, vantage point, and writing style

Yamany contributes to EE Times primarily through opinion and viewpoint articles that sit within cybersecurity, big data, hyperscalers, and related technology categories.

His author presence is anchored by deep‑dive pieces on quantum‑safe testing and by prior work on 5G‑hyperscale convergence, giving him a consistent profile as a practitioner‑author rather than a general assignment reporter. Across EE Times and Viavi’s own channels, he writes as the chief technology officer and senior technology and AI leader at Viavi Solutions, using that role to frame industry trends in terms of test strategies, performance metrics, and deployment risk.

His articles typically offer structured lists of considerations or predictions, translating high‑level concepts into specific validation steps and key performance indicators for complex networks and security systems. The result is coverage that is less about announcing technologies and more about detailing how engineers should prove those technologies work under real‑world conditions.