Doctoral Symposium

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

  • Students will be given the opportunity to present their work in an informal environment, as a preparation to future presentations in international workshops and conferences.
  • Students can obtain feedback from the scientific community, even in an early stage of the doctoral research. The feedback will be provided by EPIA attendees, after the student presentations, and also by mentors who will meet with the students and provide detailed feedback.
  • Students have 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 should be submitted in PDF format through the EPIA 2022 EasyChair submission page, and they should be prepared according to the Springer LNCS format. Submissions to the Doctoral Symposium have a maximum of 3 pages + references, and will be compiled in a separate informal PDF volume. Submissions must 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. Submissions should also 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.

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

The presentations will take 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 will take place on the afternoon, starting from 15h00 and on rooms V1.07, V1.08, V1.09, V1.10 and V1.11. Detailed information will be provided latter.

Students with an abstract accepted at the Doctoral Symposium also qualify to the travel scholarships kindly offered by APPIA. For more information see

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

We welcome 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

Accepted Papers

Group A – Presentations in Room 02.1

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

Group B – Presentations in Room 02.2

  • Silvia Tulli – Explainability in Human-AI Teamwork and Learning Scenarios
  • João Miguel Alves – Explainable Temporal Models for Prognosis of Chronic Diseases: a Clinical Decision Support System
  • Francisco Bischoff – Detecting life-threatening patterns in Point-of-care ECG using efficient memory and processor power
  • Ana Duarte – Tailoring Precision Medicine Treatments with Machine Learning for Skin Diseases
  • 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
  • Afonso Sousa – Paraphrase Generation with Meaning Representations
  • Ricardo Santos – Improving the Robustness of Multimodal AI with Asynchronous and Missing Inputs