Daniele Apiletti

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

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

Profile

Research interests

Big data analytics
Data analysis
Data management
Data mining
Data modeling
Data science
Machine learning

Skills

ERC sectors

PE6_6 - Algorithms, distributed, parallel and network algorithms, algorithmic game theory
PE6_7 - Artificial intelligence, intelligent systems, multi agent systems
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

Teaching

Collegi of the degree programmes

Teachings

PhD

MostraNascondi A.A. passati

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

  • Introduction to databases. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
  • Introduction to databases. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
  • Basi di dati. A.A. 2020/21, INGEGNERIA INFORMATICA. Titolare del corso
  • Basi di dati. A.A. 2019/20, INGEGNERIA INFORMATICA. Collaboratore del corso
  • Basi di dati. A.A. 2018/19, INGEGNERIA INFORMATICA. Collaboratore del corso
MostraNascondi A.A. passati

Research

Research groups

Research projects

Projects funded by commercial contracts

Supervised PhD students

  • Gabriele Scaffidi Militone. Programme in Ingegneria Informatica E Dei Sistemi (39th cycle, 2023-in progress)
    Research subject: Cloud continuum machine learning
    Data science, Computer vision and AI
    Parallel and distributed systems, Quantum computing
    Data science, Computer vision and AI
    Parallel and distributed systems, Quantum computing
  • Daniele Rege Cambrin. Programme in Ingegneria Informatica E Dei Sistemi (38th cycle, 2022-in progress)
    Life sciences
    Life sciences
  • Simone Monaco. Programme in Ingegneria Informatica E Dei Sistemi (37th cycle, 2021-in progress)
    Research subject: theory-based machine learning strategies, graph neural networks, machine learning
    Data science, Computer vision and AI

Publications

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