Luca Cagliero

Luca Cagliero's picture

Associate Professor (L. 240)
Department of Control and Computer Engineering (DAUIN)

  • Member of Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory
  • Member Centrostudi4impact@PoliTo
  • Coordinator of Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory

Profile

Research interests

Data science
Machine learning
Multi-document summarization
Multimodal learning
Natural language processing

Scientific branch

IINF-05/A - Information Processing Systems
(Area 0009 - Industrial and information engineering)

Skills

ERC sectors

PE6_7 - Artificial intelligence, intelligent systems, multi agent systems
PE6_9 - Human computer interaction and interface, visualisation and natural language processing
PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
PE6_10 - Web and information systems, database systems, information retrieval and digital libraries, data fusion

SDG

Goal 4: Quality education
Goal 5: Gender equality
Goal 9: Industry, Innovation, and Infrastructure

Awards and Honors

  • Optime. Riconoscimento al merito nello studio conferred by Unione Industriale Torino, Italy (2008)
  • Working Capital PNI conferred by Telecom Italia, Italy (2011)
  • Premio GiovedìScienza conferred by Associazione CentroScienza Onlus, Italy (2013)

Fellowships

  • Fellow - ACM, Stati Uniti (2010-)
    membro ACM
  • Effective member - IEEE, Stati Uniti (2010-)

Editorial boards

  • EXPERT SYSTEMS WITH APPLICATIONS (2021-), Associate Editor of magazine or editorial series
  • MACHINE LEARNING WITH APPLICATIONS (2020-), Associate Editor of magazine or editorial series

Conferences

  • ACM SIGMOD 2023, Program committee
  • LOD 2022, Program committee
  • IEEE ICDM 2021 (7/12/2021-10/12/2021), Program committee
  • ACM CIKM 2018 (22/10/2018-26/10/2018), Participation to the organizing committee

Roles as evaluator or expert

  • Commissario di concorso Ricercatore con contratto a tempo determinato art. 24 comma 3 lett. a) della L. 240/2010. 2021
    UNIVERSITA' DEGLI STUDI DI VERONA - DIPARTIMENTO DI INFORMATICA - STRADA LE GRAZIE 15 37100

Teaching

Collegi of the PhD programmes

  • SCIENZE MATEMATICHE, 2022/2023 (39. ciclo)
    Politecnico di TORINO

Collegi of the degree programmes

Teachings

PhD

MostraNascondi A.A. passati

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Teaching and training projects

Projects funded by commercial contracts

Research

Research groups

Research projects

Projects funded by competitive calls

Projects funded by commercial contracts

View moreView less

Supervised PhD students

  • Aurora Gensale. Programme in Ingegneria Informatica E Dei Sistemi (40th cycle, 2024-in progress)
  • Simone Papicchio. Programme in Ingegneria Informatica E Dei Sistemi (39th cycle, 2023-in progress)
  • Giuseppe Gallipoli. Programme in Ingegneria Informatica E Dei Sistemi (38th cycle, 2023-in progress)
    Research subject: Conversational AI and Big Data for digitally oriented factories
    Data science, Computer vision and AI
    Data science, Computer vision and AI
    Data science, Computer vision and AI
  • Davide Napolitano. Programme in Ingegneria Informatica E Dei Sistemi (38th cycle, 2022-in progress)
    Research subject: Neural Explainers and Multimodal Learning
    Data science, Computer vision and AI
    Data science, Computer vision and AI
  • Irene Benedetto. Programme in Ingegneria Informatica E Dei Sistemi (37th cycle, 2021-in progress)
    Research subject: Development and application of natural language techniques for the enrichment of predictive models
    Data science, Computer vision and AI
  • Lorenzo Vaiani. Programme in Ingegneria Informatica E Dei Sistemi (37th cycle, 2021-in progress)
    Research subject: Exploring the use of Deep Natural Language Processing models to analyze documents in cross-lingual and multi-domain scenarios
    Data science, Computer vision and AI
    Data science, Computer vision and AI
  • Jacopo Fior. Programme in Ingegneria Informatica E Dei Sistemi (35th cycle, 2019-2023)
    Thesis: Machine Learning-Driven Decision Making based on Financial Time Series
More PhD studentsLess PhD students

Publications

PoliTO co-authors

Last years publications

Publications by type

Latest publications View all publications in Porto@Iris

More publicationsLess publications