Doctoral Symposium on Artificial Intelligence (SDIA)

EPIA'19 invites submissions to the Doctoral Symposium on Artificial Intelligence, SDIA. The goal of this symposium is to provide an informal environment where students in early stages of their doctoral research can present their main ideas and discuss them with other students and the senior scientific community. The main advantages of SDIA-19 are three-fold:  

• Students obtain feedback from the scientific community, in a early stage of the doctoral research.
• To give students the opportunity to present their work in an informal environment, as a preparation to future presentations in international workshops and conferences.
• Students have the opportunity to know the work of other students that are in the same stage of doctorial work and that have similar research interests.

SDIA is promoted by APPIA – Associação Portuguesa para a Inteligência Artificial (Portuguese Association for Artificial Intelligence), and it aims at improving the quality of Ph.D. thesis in Artificial Intelligence.  

Topics of Interest

The main topics of interest, but not restricted to are the following:

• Activity Recognition

• Agents and Multiagent Systems

• AI and Medicine

• AI and Law

• AI and the Web

• AI Architectures

• Ambient Intelligence

• Applications of AI

• Automated Reasoning

• Bio-Informatics

• Cognitive Sciences

• Collaborative Networks

• Computational Biology

• Computational Sustainability

• Computer Vision and Pattern Recognition

• Constraint Programming

• Control

• Data Mining, Text Mining and Web Mining

• Description Logics

• e-Commerce and e-Business

• e-Learning and Intelligent Tutoring

• Evolutionary Computation

• Fuzzy Logic

• Game Playing

• Game Theory

• Graphical Models

• Human Computer Interaction

• Human Robot Interaction

• Information Retrieval

• Knowledge Discovery

• Knowledge Representation and Reasoning

• Logic

• Machine Learning

• Multi-Robot Systems

• Natural Language

• Neural Networks

• Ontologies

• Optimization

• Plan Recognition, Execution and Monitoring

• Planning

• Preferences

• Probabilistic Reasoning

• Qualitative Reasoning

• Reinforcement Learning

• Relational Learning

• Robotics

• Scheduling

• Scientific Discovery

• Search

• Sensor Fusion

• Statistical Learning

Paper Submission Instructions

SDIA'19 accepts the submissions of full-papers, short-papers, position papers or thesis proposals. Submitted papers should be prepared according to the  Springer LNC format, with a maximum of 12 pages. The papers include the following information: title, author, Ph.D. supervisor(s), abstract, keywords, starting and estimated conclusion date of Ph.D.  

All papers should be submitted in PDF format though the EPIA 2019 EasyChair submission page.

Accepted submissions will be published in the SDIA Symposium, a APPIA edition with ISBN.

Important Dates

Paper submission deadline: June 16, 2019
Notification of paper acceptance: July 1st, 2019
Camera ready papers deadline: July 15, 2019
Conference dates: September 3-6, 2019

Special Conditions

Students with accepted papers in the SDIA session may have a reduced registration fee. Please check the Registration page.

Organizing Committee

Goreti Marreiro, Instituto Superior de Engenharia do Porto, Portugal
Luís Macedo, Universidade de Coimbra, Portugal

Program Committee

Alberto Fernandez, University Rey Juan Carlos, Spain

Altigran S. Da Silva, Universidade Federal do Amazonas, Brazil

Amílcar Cardoso, University of Coimbra, Portugal

Carlos Soares, University of Porto, Portugal

Daniel Castro Silva, University of Porto, Portugal

Eugénio Oliveira, University of Porto, Portugal

Francisco Pereira, Instituto Superior de Engenharia de Coimbra, Portugal

Leonardo Trujillo, Instituto Tecnológico de Tijuana, Mexico

Luís Correia, University of Lisbon, Portugal

Luis Paulo Reis, University of Minho, Portugal

Miguel Rocha, University of Minho, Portugal

Paulo Moura de Oliveira, University of Trás-os-Montes and Alto Douro, Portugal

Paulo Novais, University of Minho, Portugal

Penousal Machado, University of Coimbra, Portugal

Vítor Santos Costa, University of Porto, Portugal

Track Supporting Institution

 Track Sponsor