Eliana Pastor

Ph.D. in Ingegneria Informatica E Dei Sistemi , 33rd cycle (2017-2020)

Ph.D. obtained in 2021

Dissertation:

Pattern-based algorithms for Explainable AI (Abstract)

Tutors:

Elena Maria Baralis

Research presentation:

Poster

Profile

Research topic

Pattern-based algorithms for Explainable AI

Research interests

Life sciences

Biography

Eliana Pastor received the M.Sc. degree in Computer Engineering from Politecnico di Torino, Italy, in 2017. She is a Ph.D. student in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino since 2017. Her main research interests concern machine learning, big data and data mining. Her current research focuses on Explainable AI and Fairness in Machine Learning. The main activities is the design of XAI algorithms that enable humans to understand, inspect, and evaluate AI models and their results.

Scientific branch

ING-INF/05 - INFORMATION PROCESSING SYSTEMS
(Area 0009 - Industrial and information engineering)

Awards and Honors

  • I won the student scholarship of the eXplainable AI (XAI) workshop at the 25th ACM KDD 2019 conference to present my work in Anchorage, Alaska, USA. (2021)
  • ACM-W Europe Hackathon challenge - winner team. I and the members of my team won the ACM-W Europe Hackathon challenge "Work life balance & smart working: brilliant ideas and new tools for the aerospace industrial sector" sponsored by Avio Aero and CTNA. The ACM-W Europe Hackathon was in conjunction with the 6th ACM Celebration of Women in Computing: womENcourage 2019 from September 16 to 18, Rome. The goal of the challenge was to develop a project focused on Work and Life balance integration, embodying concepts suitable for exploiting technologies and intelligent work models, encouraging a cultural change in the companies. (2021)

Teaching

Collegi of the degree programmes

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

  • Basi di dati. A.A. 2018/19, MATEMATICA PER L'INGEGNERIA. Collaboratore del corso
  • Basi di dati. A.A. 2018/19, INGEGNERIA GESTIONALE. Collaboratore del corso
MostraNascondi A.A. passati

Research

Research groups

Supervised PhD students

  • Eleonora Poeta. Programme in Ingegneria Informatica E Dei Sistemi (cycle 39, 2023-in progress)
    Research subject: Trustworthy AI
    Data science, Computer vision and AI
    Data science, Computer vision and AI
    Data science, Computer vision and AI
  • Alkis Koudounas. Programme in Ingegneria Informatica E Dei Sistemi (cycle 38, 2022-in progress)

Publications

Works published during the Ph.D. View all publications in Porto@Iris

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