Laura Giannantoni

Laura Giannantoni's picture

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 37th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)

Fellow
Department of Control and Computer Engineering (DAUIN)

Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)

Profile

PhD

Research topic

Multi-Agent Deep Reinforcement Learning for complex systems design

Tutors

Research presentation

Poster

Research interests

Computer graphics and Multimedia
Life sciences
Software engineering and Mobile computing

Biography

EDUCATION
  • 2016. MSc in Computer Engineering, Polytechnic University of Turin, 108/110
    • Thesis title: Development of algorithms and tools for classification of biological data using non-coding RNA.
  • 2014. BSc in Computer Engineering, Polytechnic University of Turin
    • Minor in Telematics.
WORK EXPERIENCE
  • 2022 - now. Research engineer, Polytechnic University of Turin
    • Modeling and simulation of biological Neural Networks
    • Automated design and optimization of genetic networks through Reinforcement Learning
  • 2021 - now. Teaching Assistant, Polytechnic University of Turin
    • Cybersecurity for Embedded Systems (M.Sc.)
    • System and device programming in Rust (M.Sc.)
    • Algorithms and programming in C (B.Sc.)
  • 2020 - 2022. Research engineer, Polytechnic University of Turin & Cultu¯ra¯ Regenerating Systems
    • Co-simulation-based evolutionary computation of biofabrication protocols
  • 2020 - 2020. Research engineer, University of Turin & Candiolo Cancer Institute - IRCCS
    • ML-based Computer-Aided Diagnosis (CAD) system for identification of prostate cancer from MRI
  • 2019 - 2019. Teaching assistant, Polytechnic University of Turin
    • Programmazione di sistema (System and device programming) MSc course, C++ laboratory
  • 2016 - 2019. Research assistant, Polytechnic University of Turin
    • Machine learning techniques for large-scale visual and spatio-temporal data analysis
    • Big Data and Machine Learning techniques for network monitoring and analysis

Skills

ERC sectors

PE6_6 - Algorithms, distributed, parallel and network algorithms, algorithmic game theory
PE6_7 - Artificial intelligence, intelligent systems, multi agent systems
PE6_13 - Bioinformatics, biocomputing, and DNA and molecular computation
PE6_12 - Scientific computing, simulation and modelling tools
PE6_3 - Software engineering, operating systems, computer languages

Other titles

  • Member of the Focus Group of Researchers (2023-)

Teaching

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

  • Algorithms and Programming. A.A. 2023/24, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso
  • Algorithms and Programming. A.A. 2022/23, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso
MostraNascondi A.A. passati

Research

Research groups

Publications

PoliTO co-authors

Last years publications

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