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Emilio Calvanese Simeone is a distinguished academic and practitioner in the field of Data Science and Artificial Intelligence. He serves as a Professor of Practice in Data Science and is the Director of the MSc in Data Science programme at Queen Mary University of London. His expertise lies in machine learning, statistical signal processing, and information theory, with a particular focus on their applications in wireless communications, federated learning, and data-driven decision-making. Emilio is passionate about translating complex theoretical concepts into practical solutions and educating the next generation of data scientists. He has a strong track record of research, evidenced by numerous publications in top-tier journals and conferences, and has also contributed to industry collaborations.
Emilio Simeone's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads and shapes a prominent Master's program, fostering the development of future data science professionals with a comprehensive curriculum and industry-relevant skills.
Published over 150 peer-reviewed papers in prestigious international journals and conferences, significantly contributing to the fields of federated learning, wireless communications, and statistical inference.
Co-authored the textbook 'Machine Learning for Engineers' (Cambridge University Press), providing a foundational resource for students and practitioners in the field.
Elevated to IEEE Fellow for contributions to federated learning and signal processing for wireless networks, a prestigious recognition of his technical achievements and leadership.
Università degli Studi di Firenze - Year 2000
Università di Pisa - Year 1988
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Flyby srl is an Italian company specializing in the acquisition, processing, and interpretation of remote sensing data. They offer advanced geospatial solutions using technologies like airborne Lidar, photogrammetry, and thermal surveys for applications in environmental monitoring, infrastructure management, cultural heritage preservation, and precision agriculture. Their services help clients make informed decisions based on accurate geographical information and 3D modeling.
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