Universidad San Sebastián - Sede Bellavista, Santiago – Chile.
21 al 25 de Noviembre de 2022
Bienvenido a JCC2022

KEYNOTE SPEAKERS

Ricardo Baeza-Yates
Ricardo Baeza-Yates is Director of Research at the Institute for Experiential AI of Northeastern University. He is also a part-time Professor at Universitat Pompeu Fabra in Barcelona and Universidad de Chile in Santiago. Before he was the CTO of NTENT, a semantic search technology company based in California and prior to these roles, he was VP of Research at Yahoo Labs, based in Barcelona, Spain, and later in Sunnyvale, California, from 2006 to 2016. He is co-author of the best-seller Modern Information Retrieval textbook published by Addison-Wesley in 1999 and 2011 (2nd ed), which won the ASIST 2012 Book of the Year award. From 2002 to 2004 he was elected to the Board of Governors of the IEEE Computer Society and between 2012 and 2016 was elected to the ACM Council. Since 2010 he has been a founding member of the Chilean Academy of Engineering. In 2009 he was named ACM Fellow and in 2011 IEEE Fellow, among other awards and distinctions. He obtained a Ph.D. in CS from the University of Waterloo, Canada, and his areas of expertise are web search and data mining, information retrieval, bias and ethics on AI, data science and algorithms in general.
Responsible Artificial Intelligence
Ricardo Baeza Yates
TBA

Blai Bonet
Blai Bonet is retired professor from the Computer Science Department at Universidad Simon Bolivar, Venezuela, and currently a research associate at the Universitat Pompeu Fabra, Barcelona, Spain. He received his Ph.D. degree in computer science from the University of California, Los Angeles. His research interests are in the areas of automated planning, search and knowledge representation, deep learning, and theory of computation. Blai has received several best paper awards or honorable mentions, including the 2009 and 2014 ICAPS Influential Paper Awards, and he is a co-author of the book "A Concise Introduction to Models and Methods for Automated Planning". He has served as associate editor of Artificial Intelligence and the Journal of Artificial Intelligence Research (JAIR), conference co-chair of ICAPS-12, program co-chair of AAAI-15, and has been a member of the Executive Council for ICAPS and AAAI.
Feature-based Generalized Policies and Guarantees
Blai Bonet
In recent years, generalized planning has become an important thread in planning and deep reinforcement learning (DRL). In the logical setting, a successful approach for generalized planning is to express general policies or strategies with rules over state features as the latter provide the
necessary abstraction over classes of planning instances with different sets of grounded actions, and the rules tell which transition to take at non-goal states. Furthermore, the same type of rules can also be used to express general strategies based on subgoal-based decompositions that are guarantee to be executable in polynomial time. In this talk, we revise the main ideas underlying these approaches and address the task of establishing formal guarantees for general policies.

María José Escobar
Associate Professor at Universidad Técnica Federico Santa María. She received the Ms. in Electronic Engineer and Professional Electronic Engineer diploma from Universidad Técnica Federico Santa María (UTFSM), Chile in 2003. She obtained her PhD in Sciences from Université de Nice-Sophia Antipolis, France, in 2009. She is an associate researcher at the Advanced Center of Electrical and Electronical Engineering (AC3E). Her line of research is on Artificial Intelligence with several investigations in the area of Computational Neuroscience, Artificial Neural Networks, Computer Vision and Robotics.
Bio-inspired Robotics
María José Escobar
TBA

Nicolas Barriga
Nicolás A. Barriga is a professor with the School of Videogames Development and Virtual Reality Engineering at Universidad de Talca, Chile. He obtained his Ph.D. at the University of Alberta, Canada, for his work on state and action abstraction mechanisms for RTS games. His research interests are in the broad area of video game AI. Currently he is working on algorithms for procedural puzzle generation, and on building AI-assisted videogame development tools, through a FONDECYT and IDeA I+D grants, respectively.
Procedural Content Generation for Games
Nicolas Barriga
TBA

Pamela Guevara
Full Professor at the Department of Electrical Engineering, Faculty of Engineering, Universidad de Concepción. She obtained her Electronic Civil Engineer diploma from Universidad de Concepción, and she did her postgraduate studies in biomedicine, in France, at the Université Paris-Sud. She obtained a Master 2 in Information, Systems and Technology, Medical Imaging specialty, and posteriorly a PhD in Physics, specializing in the same area. Her research interests are in the area of Medical Image Processing, Neuroimaging, Digital Signal and Image Processing, Computer Graphics/Visualization, and Software Development with high 2D/3D graphic content.
Methods for the analysis of Diffusion MRI tractography
Pamela Guevara
TBA
FECHAS IMPORTANTES
Fecha límite de envío
01 de Septiembre de 2022
Notificación de aceptación
02 de Octubre de 2022
Camera Ready
23 de Octubre de 2022
GENERAL CHAIRS

Carlos Hernandez Ulloa
TARIFAS DE INSCRIPCIÓN
CATEGORIA | VALOR REBAJADO CLP * | VALOR NORMAL CLP |
---|---|---|
ESTUDIANTE PREGRADO Y POSTGRADO | $7.000 | $8.000 |
ASISTENTE CON PUBLICACIÓN (IEEE - SCOPUS) [ SCCC - TICXED - AEI ] | $70.000 | $78.000 |
ASISTENTE CON PUBLICACIÓN NO INDEXADA [ LMN - ET ] | $35.000 | $39.000 |
ARTÍCULO ADICIONAL [ SCCC - TICXED - AEI - LMN - ET ] | $35.000 | $39.000 |
DOCENTES Y PROFESIONALES | $42.000 | $47.000 |
PROFESIONAL SCCC | $35.000 | $39.000 |
* PUEDE OPTAR A VALOR REBAJADO SI REALIZA SU INSCRIPCIÓN HASTA EL 20 DE OCTUBRE DEL 2021.