Inaugural lecture: Building trust in the data age
Event details
| Date | 22.10.2024 |
| Hour | 17:00 › 18:00 |
| Speaker | Prof. Andrea Cavallaro |
| Location | |
| Category | Inaugural lectures - Honorary Lecture |
| Event Language | English |
Abstract
As 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 decisions that affect people. I will explore the challenges of bias, lack of transparency, and counterexamples that undermine system performance. To address these challenges, I will discuss strategies for training systems to align with desired goals, mitigating unintended consequences, and protecting sensitive information. Addressing these critical issues will allow us to build trustworthy learning systems that are beneficial to society.
Biography
Andrea 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, machine listening, and information privacy.
Andrea received his PhD in Electrical Engineering from EPFL in 2002. He was a Research Fellow with British Telecommunications in 2004 and was awarded the Royal Academy of Engineering Teaching Prize in 2007; three student paper awards on target tracking and perceptually sensitive coding at IEEE ICASSP in 2005, 2007 and 2009; and the best paper award at IEEE AVSS 2009. In 2010, he was promoted to Full Professor at Queen Mary University of London, where he was the founding Director of the Centre for Intelligent Sensing and the Director of Research of the School of Electronic Engineering and Computer Science. He was a Turing Fellow (2018-2023) at The Alan Turing Institute, the UK National Institute for Data Science and Artificial Intelligence.
He was selected as IEEE Signal Processing Society Distinguished Lecturer (2020-2021) and served as Chair of the IEEE Image, Video, and Multidimensional Signal Processing Technical Committee (2020-2021). He also served as member of the Technical Directions Board of the IEEE Signal Processing Society and as elected member of the IEEE Multimedia Signal Processing Technical Committee and chair of the Awards committee of the IEEE Signal Processing Society, Image, Video, and Multidimensional Signal Processing Technical Committee.
He serves as Senior Area Editor for the IEEE Transactions on Image Processing and served as Editor-in-Chief of Signal Processing: Image Communication (2020-2023); as Area Editor for the IEEE Signal Processing 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 Processing Magazine (2008-2011) and IEEE Multimedia (2016-2018). He also served as Guest Editor the IEEE Transactions on Multimedia (2019), IEEE Transactions on Circuits and Systems for Video Technology (2017, 2011), Pattern Recognition Letters (2016), IEEE Transactions on Information Forensics and Security (2013), International Journal of Computer Vision (2011), IEEE Signal Processing Magazine (2010), Computer Vision and Image Understanding (2010), Annals of the British Machine Vision Association (2010), Journal of Image and Video Processing (2010, 2008), and Journal on Signal, Image and Video Processing (2007).
He published a monograph on Video tracking (2011, Wiley) and three edited books: Multi-camera networks (2009, Elsevier); Analysis, retrieval and delivery of multimedia content (2012, Springer); and Intelligent multimedia surveillance (2013, Springer).
As 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 decisions that affect people. I will explore the challenges of bias, lack of transparency, and counterexamples that undermine system performance. To address these challenges, I will discuss strategies for training systems to align with desired goals, mitigating unintended consequences, and protecting sensitive information. Addressing these critical issues will allow us to build trustworthy learning systems that are beneficial to society.
Biography
Andrea 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, machine listening, and information privacy.
Andrea received his PhD in Electrical Engineering from EPFL in 2002. He was a Research Fellow with British Telecommunications in 2004 and was awarded the Royal Academy of Engineering Teaching Prize in 2007; three student paper awards on target tracking and perceptually sensitive coding at IEEE ICASSP in 2005, 2007 and 2009; and the best paper award at IEEE AVSS 2009. In 2010, he was promoted to Full Professor at Queen Mary University of London, where he was the founding Director of the Centre for Intelligent Sensing and the Director of Research of the School of Electronic Engineering and Computer Science. He was a Turing Fellow (2018-2023) at The Alan Turing Institute, the UK National Institute for Data Science and Artificial Intelligence.
He was selected as IEEE Signal Processing Society Distinguished Lecturer (2020-2021) and served as Chair of the IEEE Image, Video, and Multidimensional Signal Processing Technical Committee (2020-2021). He also served as member of the Technical Directions Board of the IEEE Signal Processing Society and as elected member of the IEEE Multimedia Signal Processing Technical Committee and chair of the Awards committee of the IEEE Signal Processing Society, Image, Video, and Multidimensional Signal Processing Technical Committee.
He serves as Senior Area Editor for the IEEE Transactions on Image Processing and served as Editor-in-Chief of Signal Processing: Image Communication (2020-2023); as Area Editor for the IEEE Signal Processing 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 Processing Magazine (2008-2011) and IEEE Multimedia (2016-2018). He also served as Guest Editor the IEEE Transactions on Multimedia (2019), IEEE Transactions on Circuits and Systems for Video Technology (2017, 2011), Pattern Recognition Letters (2016), IEEE Transactions on Information Forensics and Security (2013), International Journal of Computer Vision (2011), IEEE Signal Processing Magazine (2010), Computer Vision and Image Understanding (2010), Annals of the British Machine Vision Association (2010), Journal of Image and Video Processing (2010, 2008), and Journal on Signal, Image and Video Processing (2007).
He published a monograph on Video tracking (2011, Wiley) and three edited books: Multi-camera networks (2009, Elsevier); Analysis, retrieval and delivery of multimedia content (2012, Springer); and Intelligent multimedia surveillance (2013, Springer).
Links
Practical information
- General public
- Registration required
Organizer
- Faculté STI – Décanat & Institut IEM