Hugo Jair Escalante

Hugo Jair Escalante received a Ph.D. degree in computer science, for which he received the best Ph.D. thesis on Artificial Intelligence 2010 award (Mexican Society in Artificial Intelligence). He is a researcher scientist at Instituto Nacional de Astrofisica, Optica y Electronica, INAOE, Mexico. In 2017, he received the UANL research award in exact sciences. He is secretary and member of the board of directors of ChaLearn, a non-profit organism dedicated to organizing challenges, since 2011. He...See more

Hugo Jair Escalante received a Ph.D. degree in computer science, for which he received the best Ph.D. thesis on Artificial Intelligence 2010 award (Mexican Society in Artificial Intelligence). He is a researcher scientist at Instituto Nacional de Astrofisica, Optica y Electronica, INAOE, Mexico. In 2017, he received the UANL research award in exact sciences. He is secretary and member of the board of directors of ChaLearn, a non-profit organism dedicated to organizing challenges, since 2011. He is information officer of the IAPR Technical Committee 12. Since 2017, he is the editor of the Springer Series on Challenges in Machine Learning. He has been involved in the organization of several challenges in machine learning and computer vision, collocated with top venues; see http: //chalearnlap.cvc.uab.es/. He has served as co-editor of special issues in the International Journal of Computer Vision, the IEEE Transactions on Pattern Analysis and Machine Intelligence, and the IEEE Transactions on Affective Computing. He has served as area chair for NIPS 2016-2018, he is data competition chair of PAKDD 2018, and has been member of the program committee of venues like CVPR, ICPR, ICCV, ECCV, ICML, NIPS, and IJCNN. His research interests are on machine learning, challenge organization, and its applications on language and vision. See less