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sustainability of mobility systems in suburban areas by designing and developing optimization-based strategies for on-demand services, optimally integrated with innovative charging technologies. We will develop
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platforms. You will play a key role in administering, programming, and optimizing systems such as the Schools Learning Management System (i.e. Canvas), the Student Information Systems (i.e. Campus Solutions
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advanced sensing modalities, highly optimized embedded AI workloads, and custom hardware platforms to enable robust, realworld perception. To drive this initiative, we are hiring a Senior SensorFusion
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AI-driven network functions). Develop and integrate 6GApp‑like components, including: vertical application logic that reacts to network conditions, network‑application logic (AI‑based optimization
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‑generation photonic and analog electronic design automation (EDA). You will explore, develop, and validate AI‑assisted methodologies that accelerate the design, optimization, and verification of optical and
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Operations Research and Operations Management, such as network theory, combinatorial optimization, and econometrics. The project pursues three interrelated aims: first, to characterize how network structure
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, the Optimized AI team focuses on computing techniques to scale up a wide range of AI approaches and drive the SW-HW-Technology co-optimization. We analyze and implement AI models and software architectures while
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how Structural Health Monitoring (SHM) systems can be optimized using non-contact data to transition from periodic inspections to a predictive maintenance strategy. This approach facilitates
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, for their analysis 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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to pose increasing risks to public health in Europe. This project aims to develop a new data-driven framework to assess invasion risk and optimize mitigation and surveillance strategies in the EU. The