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VERSION:2.0
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BEGIN:VEVENT
SUMMARY:Inaugural Lectures - Prof. Tanja Käser and Prof. Amir Zamir
DTSTART:20240423T180000
DTEND:20240423T193000
DTSTAMP:20260513T181848Z
UID:9f984a9e57517e8fc465d0a633163c9e575026b64d4b78783eb45cb4
CATEGORIES:Inaugural lectures - Honorary Lecture
DESCRIPTION:Prof. Tanja Käser\, Prof. Amir Zamir\nDate: Tuesday 23 April
  2024\n\nProgram: \n\n	18:00-18:05: Introduction by Prof. Rüdiger Urban
 ke\, Dean of the IC School\n	18:05-18:35: Inaugural Lecture Prof. Tanja K
 äser\n	18:35-18:45: Q & A\n	18:45-18:50: Introduction by Prof. Rüdiger 
 Urbanke\, Dean of the IC School\n	18:50-19:20: Inaugural Lecture Prof. Ami
 r Zamir\n	19:20-19:30: Q & A\n	19:30-21:00: Apéritif in the FoodLab Alpin
 e restaurant\n\nLocation:  CE 1 4\n\nRegistration: Click here\n\n******
 **********************************************************\n\nProf. Tanja 
 Käser\n\nGeneralizable and Interpretable Models of Human Learning\n\nAbst
 ract\nTechnology empowered by artificial intelligence has the potential to
  transform education by providing scalable and automated personalized tuto
 ring to students and\, at the same time\, support teachers in classroom or
 chestration. However\, current methods are limited: they are either define
 d for specific learning domains or lack interpretability and a foundation 
 in learning theory. My group works on modeling human behavior and learning
 \, with the goal to create models that are generalizable and explainable. 
 In this talk\, I will first discuss the key challenges in machine learning
  for education. I will then discuss recent results from our lab\, highligh
 ting use cases spanning a diverse range of applications and complex data s
 ets.\n \nAbout the speaker\nTanja Käser is a tenure-track assistant prof
 essor in computer science at EPFL\, heading the Machine Learning for Educa
 tion Lab. Her research lies at the intersection of machine learning\, data
  mining\, and education. She is particularly interested in creating accura
 te models of human behavior and learning. Prior to joining EPFL\, Tanja K
 äser was a senior data scientist with the Swiss Data Science Center at ET
 H Zurich and a postdoctoral researcher at the Graduate School of Education
  at Stanford University. Tanja Käser received her PhD degree from the Com
 puter Science Department of ETH Zurich. In her dissertation\, she focused 
 on user modeling and data mining in education\, which was honored with the
  Fritz Kutter Award in 2015.\n\n******************************************
 **********************\n\nProf. Amir Zamir\n\nMultimodality and Embodiment
  in Vision\n\nAbstract\nThe remarkable progress in Computer Vision and Mac
 hine Learning now enables us to automatically detect the objects in images
 \, caption them\, or estimate the 3D structure. But are we close to sophis
 ticated visual capabilities\, such as those that even simple biological or
 ganisms exhibit? I will discuss two related directions as steps toward tha
 t goal: multimodality and embodiment. \n\nAbout the speaker\nAmir Zamir i
 s an Assistant Professor of computer science at EPFL. His research is in c
 omputer vision\, machine learning\, and perception-for-robotics. Before jo
 ining EPFL in 2020\, he was with UC Berkeley\, Stanford\, and UCF. He has 
 received paper awards at SIGGRAPH 2022\, CVPR 2020\, CVPR 2018\, CVPR 2016
 \, and the NVIDIA Pioneering Research Award 2018\, PAMI Everingham Prize 2
 022\, and ECCV/ECVA Young Researcher Award 2022. His research has been cov
 ered by press outlets\, such as The New York Times and Forbes. He was the 
 computer vision and machine learning chief scientist of Aurora Solar\, a F
 orbes AI 50 company\, from 2015 to 2022.\n\nPublications\, project pages\,
  code: amirzamir.com\n 
LOCATION:CE 1 4 https://plan.epfl.ch/?room==CE%201%204
STATUS:CONFIRMED
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