Sergio Escalera

Sergio Escalera obtained a Ph.D. in multi-class visual categorization systems at the Computer Vision Center, Universitat Autònoma de Barcelona, where he also received the 2008 Best Computer Science Ph.D. Thesis Award. He is a two-time ICREA Academia awardee and leads the Human Pose Recovery and Behavior Analysis Group at the Universitat de Barcelona, the Computer Vision Center, and the Barcelona Graduate School of Mathematics. At the Universitat de Barcelona he is Full Professor in the Department of Mathematics and Informatics and Head of the B.Sc. in Computer Science, and co-director of the Interuniversity Master in Computer Vision of Catalonia. Previous academic appointments include adjunct professorships at Universitat Oberta de Catalunya, Aalborg University, and Dalhousie University, as well as visiting professorships at TU Delft and Aalborg University. Since 2021 he has also held the position of Distinguished Professor at Aalborg University and serves as research line director at the Computer Vision Center at UAB. His activities in the research community include serving as series editor of the Springer Series on Challenges in Machine Learning and vice-president of ChaLearn Challenges in Machine Learning, coordinating the ChaLearn Looking at People initiative. He co-created the open-source platforms Codalab and Codabench for organizing scientific challenges and co-founded the NeurIPS competition and benchmarking tracks. Professional distinctions include Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS), working within the Human-centric Machine Learning program, Fellow of the International Association for Pattern Recognition, Fellow of the Asia-Pacific Artificial Intelligence Association, and Fellow of the International Artificial Intelligence Industry Alliance. He is also a member of several scientific societies including the Association for the Advancement of Affective Computing, the Spanish Association on Pattern Recognition (AERFAI), the Spanish Artificial Intelligence Association (AEPIA), the Catalan Association of Artificial Intelligence (ACIA), and the International Neural Network Society. Within IAPR he serves as Vice-Chair of Technical Committee 12 on Multimedia and Visual Information Systems and as Publicity Chair. His research activities include participation in several international funded projects, multiple patents and registered models, and the receipt of an Amazon Research Award. His scholarly output comprises more than 400 scientific publications and extensive contributions to the organization of international scientific events. Recognition includes a CVPR Best Paper Award nominee and a CVPR Outstanding Reviewer Award. Editorial contributions include guest editorships at leading journals such as TPAMI, JMLR, Pattern Recognition, TAC, and IJCV. Conference leadership roles include General Co-Chair of FG20, Area Chair at AAAI, CVPR, ICCV, ECCV, ECMLPKDD, NeurIPS, and BMVC, and Competition or Demo Chair at FG, NeurIPS, and ECMLPKDD, among others. His research interests include artificial intelligence models for the automatic analysis of humans from visual and multi-modal data, with special interest in inclusive, transparent, and fair affective computing and people characterization.

Email: sergio dot escalera dot guerrero at gmail dot com, Address: University of Barcelona, Gran Via de les Corts Catalanes 585, 08007, Barcelona. Phone: +34 93 4020853. ORCID 0000-0003-0617-8873, Researcher ID L-2998-2015, Scopus Author ID 22634035000.

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