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VERSION:2.0
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SUMMARY:Inaugural lecture: Building trust in the data age
DTSTART:20241022T170000
DTEND:20241022T180000
DTSTAMP:20260922T163027Z
UID:b887ccfee7b937b8c5769c8925a64f439cb05b18206ed3a5bd7ad0a3
CATEGORIES:Inaugural lectures - Honorary Lecture
DESCRIPTION:Prof. Andrea Cavallaro \nAbstract\nAs machine learning systems
  become an integral part of our lives\, ensuring their trustworthiness is 
 critical. This talk will explore the trust dilemmas that arise when these 
 systems are tasked with processing vast amounts of data and making decisio
 ns that affect people. I will explore the challenges of bias\, lack of tra
 nsparency\, and counterexamples that undermine system performance. To addr
 ess these challenges\, I will discuss strategies for training systems to a
 lign with desired goals\, mitigating unintended consequences\, and protect
 ing sensitive information. Addressing these critical issues will allow us 
 to build trustworthy learning systems that are beneficial to society.\n\n\
 nBiography\nAndrea Cavallaro is the Idiap Director and a Full Professor at
  EPFL. He is a Fellow of the Higher Education Academy and a Fellow of the 
 International Association for Pattern Recognition. His research interests 
 include machine learning for multimodal perception\, computer vision\, mac
 hine listening\, and information privacy. \n\nAndrea received his PhD in 
 Electrical Engineering from EPFL in 2002. He was a Research Fellow with Br
 itish Telecommunications in 2004 and was awarded the Royal Academy of Engi
 neering Teaching Prize in 2007\; three student paper awards on target trac
 king and perceptually sensitive coding at IEEE ICASSP in 2005\, 2007 and 2
 009\; and the best paper award at IEEE AVSS 2009. In 2010\, he was promote
 d to Full Professor at Queen Mary University of London\, where he was the 
 founding Director of the Centre for Intelligent Sensing and the Director o
 f Research of the School of Electronic Engineering and Computer Science. H
 e was a Turing Fellow (2018-2023) at The Alan Turing Institute\, the UK Na
 tional Institute for Data Science and Artificial Intelligence.\n\nHe was s
 elected as IEEE Signal Processing Society Distinguished Lecturer (2020-202
 1) and served as Chair of the IEEE Image\, Video\, and Multidimensional Si
 gnal Processing Technical Committee (2020-2021). He also served as member 
 of the Technical Directions Board of the IEEE Signal Processing Society an
 d as elected member of the IEEE Multimedia Signal Processing Technical Com
 mittee and chair of the Awards committee of the IEEE Signal Processing Soc
 iety\, Image\, Video\, and Multidimensional Signal Processing Technical Co
 mmittee. \n\nHe serves as Senior Area Editor for the IEEE Transactions on
  Image Processing and served as Editor-in-Chief of Signal Processing: Imag
 e Communication (2020-2023)\; as Area Editor for the IEEE Signal Processin
 g Magazine (2012-2014)\; and as Associate Editor for the IEEE Transactions
  on Image Processing (2011-2015)\, IEEE Transactions on Signal Processing 
 (2009-2011)\, IEEE Transactions on Multimedia (2009-2010)\, IEEE Signal Pr
 ocessing Magazine (2008-2011) and IEEE Multimedia (2016-2018). He also ser
 ved as Guest Editor the IEEE Transactions on Multimedia (2019)\, IEEE Tran
 sactions on Circuits and Systems for Video Technology (2017\, 2011)\, Patt
 ern Recognition Letters (2016)\, IEEE Transactions on Information Forensic
 s and Security (2013)\, International Journal of Computer Vision (2011)\, 
 IEEE Signal Processing Magazine (2010)\, Computer Vision and Image Underst
 anding (2010)\, Annals of the British Machine Vision Association (2010)\, 
 Journal of Image and Video Processing (2010\, 2008)\, and Journal on Signa
 l\, Image and Video Processing (2007).\nHe published a monograph on Video 
 tracking (2011\, Wiley) and three edited books: Multi-camera networks (200
 9\, Elsevier)\; Analysis\, retrieval and delivery of multimedia content (2
 012\, Springer)\; and Intelligent multimedia surveillance (2013\, Springer
 ).\n 
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202
STATUS:CONFIRMED
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