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the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as
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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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) for the energy field. Specifically, it leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy resources, demand response, and storage, it aims
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leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy resources, demand response, and storage, it aims to enhance grid flexibility and
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SIMPATHIC Project: The SIMPATHIC project is dedicated to optimizing drug repurposing to address unmet medical needs in rare diseases. Our novel approach involves the simultaneous development of repurposed
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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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techniques. · Colloidal Development: Contribute to the formulation and optimization of protein-based emulsions, ensuring stability and functionality. · Experimental Design: Participate in
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advancing Natural Language Processing (NLP) methodologies, particularly on applying and optimizing Large Language Models (LLMs) for innovative software. This project is centered on leveraging AI-driven
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analytical techniques. · Colloidal Development: Contribute to the formulation and optimization of protein-based emulsions, ensuring stability and functionality. · Experimental Design
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their products to offer the optimal subjective and objective experiences to their customers. This PhD will focus on improving this understanding, identifying critical parameters and developing test approaches