Hello! I am Ziyou Tang from Hunan, China.

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I completed my master's degree in communications engineering at Technical University of Munich, Germany in 2025, where my research primarily focused on information theory and machine learning and optimization.

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During my studies and research experience, I developed novel algorithms using iterative Wasserstein gradient descent to analyze capacity distortion problem. These experiences helped me develop strong proficiency in non-convex optimization and the ability to integrate parametric deep learning models with classical information theory problems.

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As part of the TeraWireless project, I am currently a PhD candidate at Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT), Italy. My research focuses on Waveform design and robust optimization for U-MIMO THz systems, using convex and non-convex optimization methods and communication theory to study the ultimate fundamental performance limits of Ultra Massive MIMO THz systems. I will also design optimal waveforms and signal processing algorithms to support the project goals.

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Being part of the TeraWireless project provides a unique opportunity to collaborate with different institutions, while contributing to laying the theoretical and architectural foundations for enabling THz systems at optical speed with deterministic performance.