Short Biography

André Anjos received his Ph.D. degree in signal processing from the Federal University of Rio de Janeiro in 2006. He joined the ATLAS Experiment at European Centre for Particle Physics (CERN, Switzerland) from 2001 until 2010 where he worked in the development and deployment of the Trigger and Data Acquisition systems that are nowadays powering the discovery of the Higgs boson. During his time at CERN, André studied the application of neural networks and statistical methods for particle recognition at the trigger level and developed several software components still in use today. In 2010, André joined the Biometrics Security and Privacy Group at the Idiap Research Institute where he worked mostly with face and vein biometrics, and presentation attack detection. Since 2018 André heads the Biosignal Processing Group at Idiap. His current interests include reproducible research and open-science for biomedical and biometrics applications, privacy and security, and the analysis of medical records through pattern recognition, image processing and machine learning. Among André's open-source contributions, one can cite Bob and the the BEAT web platform for evaluation and testing. He teaches graduate-level machine learning courses at the École Polytechnique Fédérale de Lausanne (EPFL) and serves as reviewer for various scientific journals in pattern recognition, image processing and biometrics.

Shorter Version

(if you must)

André Anjos received his Ph.D. degree in signal processing in 2006 studying the application of neural nets and statistical methods for particle recognition in the context of High-Energy Physics experiments at Large Hadron Collider at CERN, Switzerland. He joined the Idiap Research Institute in 2010 where he works with biosignal processing and biometrics applications. He currently heads the Biosignal Processing Group at Idiap. Current interests include medical applications, reproducible research, pattern recognition, image processing and machine learning. André teaches graduate-level machine learning courses at the École Polytechnique Fédérale de Lausanne (EPFL) and serves as reviewer for various scientific journals in pattern recognition, image processing and biometrics.

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