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Enrique Zuazua Iriondo (Eibar, Basque Country – Spain, 1961) holds a Chair for Dynamics, Control and Numerics - Alexander von Humboldt Professorship at the Department of Data Science at Friedrich-Alexander Universität, Erlangen-Nürnberg (Germany). He is the Director of CCM - Chair of Computational Mathematics at Deusto Foundation, University of Deusto - Bilbao (Basque Country, Spain) where he leads the "DyCon: Dynamic Control" funded by the ERC – European Research Council. Since 2001 he is a Professor of Applied Mathematics at the Department of Mathematics at UAM - Autonomous University of Madrid.
His fields of expertise in the area of Applied Mathematics cover topics related to Partial Differential Equations, Systems Control, which led to some fruitful collaborations in different industrial sectors such as the optimal shape design in aeronautics and the management of electrical and water distribution networks.
In her talk, Macarena will talk about Mathematics, Marketing and AI.
Macarena Estévez is a Mathematician, a Master in Business Administration, and an expert and deep enthusiast about data science and the future of data analytics.
She is a professional with a remarkable ability to make others easily understand abstract and complex content and its positive impact on business results.
Macarena has worked as a Research Director at Mindshare Spain and Latin America. She was a Professor in the Department of Statistics and Econometrics of the Carlos III University of Madrid and a Professor in the Master of Marketing, ESIC
She has different awards such as the International “FIPP Research Award” for the best research work published in 2011 among many others.
In his talk he will talk on AI, ML, data science, ERP-SAP applications, and Quantum computing applications in industrial needs.
Biswaranjan Senapati is a Ph.D. in Quantum Computing, Quantum Information Science, and Quantum Cryptography, from Capitol Technology University and a PhD-Research Graduate in Data Science/Information Science, Computer and Information Sciences and Support Services, University of Arkansas at Little Rock.
Biswan has worked for the SAP Group of Consulting Companies, i.e., Home Depot, SONY, Gordon Foods, Constellations Brands, Olin Corporations, HPE, Ecolabs, TSC, Hanes Brands, PVH, Applexus, ECCO Denmark, Mindtree Germany, Ciber USA, Cognizant, Capgemini, and Deloitte Consulting.
His field of expertise is artificial intelligence, machine learning, data science, and quantum computing.
In her talk, Camelia will discuss the asymptotic efficiency of model-assisted estimators based on high-dimensional auxiliary data.
Camelia Goga is a Ph.D. in Mathematics and Statistics from Université Rennes 2.
Camelia is a Professor of Statistics at the University of Franche-Comté. Member of the Probability and Statistics group at the Besançon Mathematics Laboratory and Head of the Master's degree in Statistical Modeling in Besançon since 2018.
Camelia was the director of IREM Dijon (2015-2017).
She is currently an Associate Editor of the Journal of Nonparametric Statistics since 2019.
Her fields of expertise are the survey theory (Ph.D., HDR), nonparametric statistics, statistical learning, and accident forecasting.
This conference is supported by the following institutions/societies/projects:
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