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Guillermo Dufort y Álvarez
He was born in Montevideo, Uruguay. He received his degrees as Computer Engineer and D.Sc. in Computer Science from Universidad de la República, Uruguay, in 2016 and 2022 respectively. From 2014 to 2015 he worked in the software development industry and since 2015 he holds a position at Instituto de Computación, Facultad de Ingeniería, Universidad de la república, where he is currently a research assistant. As part of his PhD studies, in 2018 and 2019, he visited the Information Theory group at the Electrical and Computer Engineering Department of the University of Illinois, Urbana-Champaign. His areas of interest include data compression, bioinformatics, information theory and machine learning. He is a member of the SNI (Sistema Nacional de Investigadores).
Federico Lecumberry
Federico Lecumberry received the B.Sc., M.Sc., and Ph.D. degrees in Electrical Engineering from the Universidad de la República (UdelaR), Uruguay, in 2000, 2006 and 2012 respectively. Currently holds a position as Associate Professor in Signal Processing and Machine Learning with the Electrical Engineering Department (Instituto de Ingeniería Eléctrica de la Facultad de Ingeniería, IIE-FIng) at Universidad de la República. He is also an Associate Researcher with the Advanced Bioimaging Unit, Institut Pasteur de Montevideo, where he was Principal Investigator and Head of the Signal Processing Laboratory (2014-2018) and Head of the Microscopy Unit (2016-2018). During 2008 and 2009 held a visiting position as a Research Associate with the Department of Electrical and Computer Engineering, University of Minnesota. He works in the fundamentals and applications of Signal/Image Processing and Machine Learning in different domains including biometry, biomedicine, and medical imaging, in particular in Fluorescence Microscopy and Cryo-Electron Microscopy, and several industrial applications. He worked on geometric partial differential equations in computer vision applied to object segmentation, disparity computation in stereo images, and image and video codification. His research interests include Signal and Image Processing, Computer Vision, Machine Learning, Biomedicine, Medical Imaging, and Cryo-Electron Microscopy. Dr. Lecumberry is a member of IEEE Signal Processing Society (Senior Member); National Researchers System in Uruguay (Level II); Uruguayan Biosciences Society; and Uruguayan Society of Microscopy and Imaging. He is also a researcher (Grado 3) of PEDECIBA – Mathematics (Programa de Desarrollo de las Ciencias Básicas).
Álvaro Martín
He was born in Montevideo, Uruguay. He received the Computer Engineer degree and D.Sc. degree in Computer Science from Universidad de la República, Uruguay, in 2001 and 2009, respectively. From 1996 to 2002 he worked in the software development industry and, since 2000, he has held a position at Instituto de Computación, Facultad de Ingeniería, Universidad de la República, where he is currently an Associate Professor. Since 2019, he is also an honorary associate researcher in the Genomics Department of Instituto de Investigaciones Biológicas Clemente Estable. In 2003, he visited the Information Theory group at Hewlett-Packard Laboratories, Palo Alto, California, and the Department of Electrical and Computer Engineering at the University of Minnesota, Minneapolis. In 2016 he served as a data compression consultant for DTS Inc. (now Xperi Corp.), Los Gatos, California. In 2004 he received a mention as a runner-up for the Capocelli prize of the Data Compression Conference, and in 2011 he received the Roberto Caldeyro Barcia prize awarded by PEDECIBA (Programa de Desarrollo de las Ciencias Básicas) for his scientific work in Computer Science. His areas of interests include the theoretical research and the design, analysis, and development of algorithmic solutions to problems related to Information Theory. In these areas he is the author of several scientific articles and patents granted in the United States. He is a researcher of PEDECIBA and a member of the SNI (Sistema Nacional de Investigadores).
Ignacio Ramírez
He was born in Montevideo, Uruguay. He received the E.E. (2002), and the M.Sc. degree in Electrical Engineering (2007) from the Universidad de la República, Uruguay (UdelaR), and the Ph.D. degree in Scientific Computation (2012) from the University of Minnesota (UofM).
He was a Research Assistant at the UofM from 2008 to 2012. He also held temporary research positions at the UofM in 2007 and Hewlett-Packard Laboratories, Palo Alto, in 2004.
Mr. Ramírez holds an Assistantship with the Department of Electrical Engineering at UdelaR since 1999. His main research interests are applied information theory statistical signal processing and machine learning, with focus in multimedia data processing. His current research focuses in automatic model selection for sparse linear models.
Gadiel Seroussi
He received the B.Sc. degree in electrical engineering, and the M.Sc. and D.Sc. degrees in computer science from Technion—Israel Institute of Technology, Haifa, Israel, in 1977, 1979, and 1981, respectively. From 1981 to 1987 he was with the faculty of the Computer Science Department at Technion. In 1982–1983, he was a Postdoctoral Fellow at the IBM T.J. Watson Research Center, Yorktown Heights, NY. From 1986 to 1988 he was a Senior Research Scientist at Cyclotomics Inc., Berkeley, CA. In 1988 he joined Hewlett-Packard Laboratories, Palo Alto, California, where he founded the Information Theory Research Group and was its director until 2005. In 2005–2006, he was Associate Director of the Mathematical Sciences Research Institute in Berkeley, California. From 2015 to 2020, he was with Xperi Corp. (formerly DTS Inc.), Los Gatos, California, working on digital audio processing and compression, and on applications of deep learning to audio and imaging. He has been an independent consultant, based in Cupertino, California, since 2006. He also holds a joint appointment in Computer Science and Electrical Engineering on the faculty of Universidad de la República, Montevideo, Uruguay, where he visits periodically for teaching and research activities.
Seroussi has published extensively in information theory, error correcting codes, data compression, image processing, and cryptography. He is a co-author of the book Elliptic Curves in Cryptography (1999), and a co-editor of Advances in Elliptic Curve Cryptography (2005), both published by Cambridge University Press. In addition, he is named as an inventor or co-inventor on more that 80 granted U.S. patents.
María Simon
She received the Industrial Engineering Degree, with a specialization in Telecommunications, from the Engineering Faculty of the Universidad de la República (Uruguay), of which she was Dean and is currently free Professor. She works in network communications, information theory and source coding. Has published several articles and book chapters, and has been a speaker in numerous scientific events. She was the coordinator of the Graduate Studies Commission of the University. Prof. Simon has acted as the head of the Ministry of Education and Culture, which also covers Science and Technology. She has been president of the board of ANTEL, the public communications company of Uruguay. Before that, se was also appointed Dean of the Engineering Faculty in 1998 and 2002, Chief of the Electrical Engineering Institute and Chief of the Telecommunications Department of that institute. As a personal goal, she seeks to promote intellectual quality and creativity, which form the basis of the society, and are key elements in its development.