3rd International Seminar on New Issues in Artificial Intelligence

CAOS - EVANNAI - GIAA - PLG // Febrero 2010


Agent Reputation and Trust Models - Abstract

Laurent Vercouter

Laurent Vercouter is an assistant professor and a member of the multi-agent systems research department at the Ecole des Mines of Saint-Etienne in France. He received a PhD in computer sciences in 2000 from the Ecole des Mines of Saint-Etienne. He is member of the Laboratory for Information Science and Technology (LSTI) and member of the Multi-Agent System department in the Division for Industrial Engineering and Computer Sciences. He was invited researcher of the Escola Politecnica of the University of Sao Paulo in 2006. Laurent Vercouter has published more than 50 international papers on trust and reputation in MAS and on his works on other fields (Ambient Intelligence, Service Composition, Component-based Computing) and is member of the program committee of around 20 international and national conferences and workshops.

Parallel and Distributed Tools for Evolutionary Computation - Abstract - slides1

Marc Parizeau

Prof. Parizeau is currently with Université Laval, Canada, where he is part of the Computer Vision and Systems Laboratory (CVSL). There, he lectures on algorithmics and artificial neural networks. His research interests include, among others, pattern recognition, evolutionary computation, artificial neural networks, 2D and 3D Computer Vision and parallel and distributed systems

Metaheuristics for multi-objective optimization - Abstract

El-Ghazali Talbi

El-Ghazali Talbi is Professor at the Computer Science Laboratory of the University of Lille, France. His research interests include parallel algorithms for combinatorial optimization and their applications to generic and real-world problems. Prof. Talbi leads the OPAC (Parallel Cooperative Optimization) research team; is the scientific leader of the INRIA DOLPHIN project dealing with distributed multi-objective optimization; and is active in several research and industrial projects, publications, and international conferences in the field.

Learning Hierarchical Task Networks from action traces - Abstract

Héctor Muñoz-Avila

Dr. Hector Munoz-Avila is an associate professor at the Department of Computer Science and Engineering at Lehigh University. Dr. Munoz-Avila has done extensive research on case-based reasoning, planning, and machine learning. He is also interested in advancing game AI with AI techniques. Dr. Munoz-Avila is recipient of a National Science Foundation (NSF) CAREER award and two papers awards. He currently holds a Lehigh Class of 1961 Professorship. He has been chair for various international scientific meetings including the Sixth International Conference on Case-Based Reasoning (ICCBR-05). Dr. Munoz-Avila is currently funded by the National Science Fundation (NSF) and the Air Force Research Laboratory (AFRL). He has been funded in the past by the Defense Advanced Research Projects Agency (DARPA), the Office of Naval Research (ONR), and the Naval Research Laboratory (NRL).

Human-centered Vision Systems - Abstract

Hamid Aghajan

Hamid Aghajan is a professor of Electrical Engineering (consulting) at Stanford University since 2003. Areas of research in his group consist of multi-camera networks and human interfaces for smart, vision-based reasoning environments, with application to smart homes, occupancy-based services, assisted living, retail settings and interactive ads, tele-conferencing and smart presentations, and avatar-based communication and social interactions. He supervises the Wireless Sensor Networks Laboratory. Prior to joining Stanford, Hamid had 9 years of technical and managerial positions in high-technology companies leading product development in image processing, wireless communications, and semiconductor manufacturing systems. During his industry experience, Hamid was a co-founder and vice president of a start-up company developing optical filters for fiber telecommunications. He has also served on the Board of Advisors of technology companies active in various wireless networks and vision applications.

Multisource information processing and Data Fusion - Abstract

James Llinas

Dr. Llinas brings over 35 years of experience in multisource information processing and data fusion technology to his research, teaching, and business development activities. He is an internationally-recognized expert in sensor, data, and information fusion, co-authored the first integrated book on Multisensor Data Fusion, and has lectured internationally for over 30 years on this topic. In addition to the original book, Dr. Llinas is also the co-editor of the "Handbook of Multisensor Data Fusion" published in 2001. Dr. Llinas is a Technical Advisor to the Defense Department’s Joint Directors of Laboratories Data Fusion Group, the only US DoD technology oversight group for Data Fusion, a position he has held for 20+ years. Dr. Llinas is a recipient of the Joseph Mignona Award (1999), given to one person per year by the Data Fusion Group as signifying lifelong contributions to the field of Data Fusion. His experience in applying this technology to different problem areas ranges from defense applications to non-defense applications to include intelligent transportation systems, medical diagnostics, and condition-based maintenance, among others.

Evolving Intelligence Systems - Abstract - slides1, slides2, slides3

Plamen Angelov

Plamen Angelov received the M.Eng. degree in electronics and automation from Sofia Technical University, Sofia, Bulgaria, in 1989 and the Ph.D. degree in optimal control from Bulgaria Academy of Sciences, Sofia, Bulgaria, in 1993. He spent over ten years as a Research Fellow working on computational intelligence and control. During 1995-1996, he was at Hans-Knoell Institute, Jena, Germany. In 1997, he was a Visiting Researcher at the Catholic University, Leuvain-la-neuve, Belgium. In 2007, he was a Visiting Professor at the University of Wolfenbuettel-Braunschweig,Germany.He is currently a Senior Lecturer (Associate Professor) at Lancaster University, Lancaster, U.K. He has authored or coauthored over 100 peer-reviewed publications, including the book Evolving Rule Based Models: A Tool for Design of Flexible Adaptive Systems (Springer-Verlag, 2002), and over 30 journal papers, and is a holder of a patent (2006). He is a Member of the Editorial Boards of three international scientific journals. He also holds a portfolio of research projects including a participation in a £32M program ASTRAEA. His current research interests include adaptive and evolving (self-organizing) fuzzy systems as a framework of an evolving computational intelligence.