Doctoral Symposium

EPIA’22 invited submissions to a Doctoral Symposium on Artificial Intelligence, DSAI. The goal of this symposium was to provide an informal environment where students in early stages of their doctoral research could present their main research ideas and discuss them with other students and the senior scientific community. The main advantages of participating in DSAI’22 were three-fold:

  • Students were be given the opportunity to present their work in an informal environment, as a preparation to future presentations in international workshops and conferences.
  • Students could obtain feedback from the scientific community, even in an early stage of the doctoral research. The feedback was provided by EPIA attendees, after the student presentations, and also by mentors who meet with the students and provided detailed feedback.
  • Students had the opportunity to know the work of other students that are in the same stage of the doctoral work, and that have similar research interests.

Papers were required to be submitted in PDF format through the EPIA 2022 EasyChair submission page, and they were prepared according to the Springer LNCS format. Submissions to the Doctoral Symposium had a maximum of 3 pages + references, and were compiled in a separate informal PDF volume. Submissions had to be authored by the PhD candidate, and should include information regarding the advisor(s) as a footnote in the first page, anchored in the author’s name. Authors were also encouraged to include a short abstract, keywords, introduction to the topic being addressed in the project and relevant research questions, a brief state of the art in the field, and the methodology to be pursued.

The authors of accepted submissions were assigned a mentor (a senior researcher in the field). They were expected to present their project in a 10 minutes slot (including questions), and they were also invited to prepare a poster for discussion/meeting with their mentor.

The presentations took place on the 31st of August, starting by 11h00 and as part of a session in the main conference program (on rooms 02.1 and 02.2). The meetings with the mentors took place on the afternoon, starting from 15h00 and on rooms V1.07, V1.08, V1.09, V1.10 and V1.11. Detailed information was provided at the conference venue.

Students with an abstract accepted at the Doctoral Symposium also qualified to the travel scholarships kindly offered by APPIA. For more information see http://www.appia.pt/bem-vindo/socios/bolsas-de-estudo-appia/.

Important Dates

  • Paper submission deadline: June 15 June 24, 2022
  • Acceptance notification: June 30 July 14, 2022
  • Doctoral Symposium: August 31, 2022

Topics of Interest

DSAI welcomed any submission covering the wide spectrum of AI topics, in particular topics related with the EPIA thematic tracks.

Organisation Committee

  • Fernando Santos, Informatics Institute, University of Amsterdam, Netherlands
  • Henrique Lopes Cardoso, Faculty of Engineering, University of Porto, Portugal
  • João Sacramento, Institute of Neuroinformatics, ETH Zürich, Switzerland

Program Committee

  • Alberto Fernandez, University Rey Juan Carlos, Spain
  • Alberto Simões, Instituto Politécnico do Cávado e do Ave, Portugal
  • Ana L. C. Bazzan, Universidade Federal do Rio Grande do Sul, Brazil
  • Andreia Sofia Teixeira, Universidade de Lisboa, Portugal
  • António Branco, Universidade de Lisboa, Portugal
  • Filipa Correia, ITI-LARSyS, Universidade de Lisboa, Portugal
  • Flavio Pinheiro, NOVA IMS, Universidade NOVA de Lisboa, Portugal
  • Hugo Gonçalo Oliveira, CISUC, Universidade de Coimbra, Portugal
  • Ilaria Torre, KTH Royal Institute of Technology, Sweden
  • Irene Rodrigues, Universidade de Evora, Portugal
  • Joao Fabro, UTFPR, Federal University of Technology-Parana, Brazil
  • Juan Pavón, Universidad Complutense de Madrid, Spain
  • Renata Vieira, Universidade de Evora, Portugal
  • Susana Vinga, Universidade de Lisboa, Portugal

Mentors

  • Alberto Fernández, University Rey Juan Carlos, Spain
  • Alberto Sardinha, University of Lisbon, Portugal
  • André de Carvalho, University of São Paulo, Brazil
  • André F. T. Martins, University of Lisbon, Portugal
  • Andreia Sofia Teixeira, University of Lisbon, Portugal
  • Brigida M. Faria, Polytechnic Institute of Porto, Portugal
  • Bruno Martins, University of Lisbon, Portugal
  • Carlos Lisboa Bento, University of Coimbra, Portugal
  • Carlos Martinho, University of Lisbon, Portugal
  • Catarina Silva, University of Coimbra, Portugal
  • Isabel Trancoso, University of Lisbon, Portugal
  • João Gama, University of Porto, Portugal
  • Luís Correia, University of Lisbon, Portugal
  • Luis Paulo Reis, University of Porto, Portugal
  • Paulo Novais, University of Minho, Portugal
  • Pedro Faria, Polytechnic of Porto – School of Engineering, Portugal

Accepted Papers

You can find the book of contributions (3-page extended abstracts) accepted in DSAI here.

Group A – Presentations in Room 02.1 – Session chaired by Fernando P. Santos

  • Ana Carrasco – Adapting Behaviour Based On Trust In Human-Agent Ad Hoc Teamwork
  • Ana Paula Gonzalez Torres – Allocation of Compliance Responsibilities in Artificial Intelligence Lifecycle
  • Cláudia Rodrigues – Methods for Urban Data Analysis: Towards Safety and Inclusiveness
  • Luís Espírito Santo – Theoretical Learning Creators and Creative Scientists
  • Hajar Baghcheband – Data Trading and Negotiation in Multi-Agent Systems
  • Henrique Correia da Fonseca – Reputation based cooperation with private-information
  • João Sousa – Artificial intelligence for zero-defect manufacturing in laser-based processes
  • Pedro Santos – Offline RL: Towards a wider application of RL methods in real-world domains

Group B – Presentations in Room 02.2 – Session chaired by João Sacramento

  • Ana Duarte – Tailoring Precision Medicine Treatments with Machine Learning for Skin Diseases
  • Francisco Bischoff – Detecting life-threatening patterns in Point-of-care ECG using efficient memory and processor power
  • João Miguel Alves – Explainable Temporal Models for Prognosis of Chronic Diseases: a Clinical Decision Support System
  • Ricardo Santos – Improving the Robustness of Multimodal AI with Asynchronous and Missing Inputs
  • Afonso Sousa – Paraphrase Generation with Meaning Representations
  • André Gonçalves – Biomedical Information Extraction in Domain-Specific Texts
  • Felermino Ali – Machine Translation for Emakhuwa of Mozambique
  • Patrícia Ferreira – Automatic Dialogue Flow Extraction and Guidance