Professor Björn Schuller

Professor Björn Schuller

Björn W. Schuller received his diploma, doctoral degree, habilitation, and Adjunct Teaching Professor all in EE/IT from TUM in Munich/Germany. He is the Head of GLAM - the Group on Language Audio & Music - at Imperial College London/UK, Full Professor and ZD.B Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg/Germany, co-founding CEO of audEERING, and permanent Visiting Professor at HIT/China.

Before, he was Full Professor at the University of Passau/Germany, with Joanneum Research in Graz/Austria, and the CNRS-LIMSI in Orsay/France. He is a Fellow of the IEEE, President-Emeritus of the AAAC, and Senior Member of the ACM. He (co-)authored 700+ publications (18000+ citations, h-index=66), and is the Editor in Chief of the IEEE Transactions on Affective Computing, General Chair of ACII 2019, ACII Asia 2018, and ACM ICMI 2014, and a Program Chair of Interspeech 2019, ACM ICMI 2019/2013, ACII 2015/2011, and IEEE SocialCom 2012 amongst manifold further commitments and service to the community. His 20+ awards include having been honoured as one of 40 extraordinary scientists under the age of 40 by the WEF in 2015. He served as Coordinator/PI in 10+ European Projects, is an ERC Starting Grantee, and consultant of companies such as GN, Huawei or Samsung.

  • Fonctions
  • Prix et distinctions

Professor Ludovic Denoyer

Ludovic Denoyer is a Research Scientist at Criteo and a Full Professor in Machine Learning at Sorbonne’s University (France)

He obtained his Master of Artificial Intelligence in 2001 and his Ph.D. thesis in 2004 on the problem of classification with structured inputs. He then focused on two main research topics:

- representation learning for structures, and particularly complex graphs (multi-relational, dynamic,
heterogeneous) and social networks

- budgeted reinforcement learning models with applications to text classification, image classification, features acquisition and structured output prediction.

His research is now mainly centered on the desire to develop human-machine interaction systems. Since October 2017, he is also a part-time researcher at Criteo on the topic of statistical machine learning from human traces. During his career, he was the organizer of many international challenges financed by European networks of excellence (PASCAL and DELOS), and also created reference datasets (Wikipedia XML Corpus in 2003 and WebSpam dataset in collaboration with Yahoo! in 2007/2008) in the Information Retrieval and Machine Learning domains. He has supervised dozens of Ph.D. students, the current ones being involved on different topics -- hierarchical reinforcement learning, adversarial models for disentanglement, spatio-temporal neural networks, style extraction in reinforcement learning, ... He is also participant/head of many national and international research projects. In addition, Ludovic Denoyer is also co-creator and co-head of the Data Science Master (about 100 students each year) and of the new lifelong training curriculum (2018). In the meantime, he has been ‘chargé de mission’ Open Research reporting to the president of the university (2017), and member of the ‘France Artificial Intelligence’ thinking group.

  • Fonctions
  • Prix et distinctions

Professor Li Erran Li

Li Erran Li is the chief scientist of pony.ai. He was with Uber between 2015 and 2018 working on machine learning for autonomous driving, machine learning platforms and strategic initiatives of AI.

Before that, he was a researcher at Bell Labs and an adjust professor at Columbia University. He earned his Ph.D. in Computer Science from Cornell University. His research interests include machine learning (deep learning, deep reinforcement learning and machine learning systems), computer vision, and robotics. He is an IEEE Fellow and an ACM Fellow. He co-taught the Machine Learning for Autonomous Vehicles tutorial at ICML 17. He co-organized several workshops at ICML and NIPS on machine learning for autonomous driving and machine learning systems.


  • Fonctions
  • Prix et distinctions

Professor Vittorio Ferrari

Vittorio Ferrari is a Research Scientist at Google and a Full Professor at the University of Edinburgh, leading a research group on visual learning in each institution.

He received his PhD from ETH Zurich in 2004 and was a post-doctoral researcher at INRIA Grenoble in 2006-2007 and at the University of Oxford in 2007-2008. Between 2008 and 2012 he was an Assistant Professor at ETH Zurich, funded by a Swiss National Science Foundation Professorship grant. In 2012 he received the prestigious ERC Starting Grant, and the best paper award from the European Conference in Computer Vision. He is the author of over 100 technical publications. He regularly serves as an Area Chair for the major computer vision conferences, he will be a Program Chair for ECCV 2018 and a General Chair for ECCV 2020. He is an Associate Editor of IEEE Pattern Analysis and Machine Intelligence. His current research interests are in learning visual models with minimal human supervision, human-machine collaboration, and semantic segmentation.

  • Fonctions
  • Prix et distinctions

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