cv

Basics

Name Eleonora Mancini
Label PhD Candidate · Multimodal AI for Human Expression Understanding
Email e.mancini@unibo.it
Url https://helemanc.github.io/
Summary PhD candidate in Computer Science and Engineering at the University of Bologna. Research focus: data representation, fusion, and interpretability for multimodal deep learning with emphasis on audio and speech.

Work

  • 2025.01 - 2025.07

    Barcelona, Spain

    Visiting Researcher
    Sony AI
    Transferred speech-model capabilities to music using large ASR models and LLMs for enhanced lyrics representations and multimodal musical version identification.
    • ASR+LLMs for lyrics representations
    • Multimodal version identification
  • 2023.09 - 2023.12

    Montréal, Canada

    Visiting Researcher
    Mila – Quebec AI Institute
    Explored interpretability in speech analysis; evaluated multiple post-hoc explainers and developed a post-hoc method to produce listenable time-domain explanations for audio classifiers.
    • 100+ experiments on AudioMNIST
    • Time-domain listenable explanations
  • 2022.01 - 2022.10

    Bologna, Italy

    Research Fellow
    Language Technologies Lab, University of Bologna
    Vague clauses detection in privacy policies (GDPR). Built a BIO tagging classifier achieving macro F1 = 0.91 on clause categorization.
    • GDPR privacy policy analysis
    • BIO tagging classifier (F1=0.91)
  • 2021.09 - 2025.11

    Bologna, Italy

    Teaching Assistant
    University of Bologna
    Assisted courses in NLP (M.Eng AI), Real Time Systems for Automation, Python Programming (BSc Genomics), and Computer Science (BSc Mathematics). Delivered lectures, managed coursework, and mentored students (AI Camp).
    • NLP (M.Eng AI)
    • Real Time Systems for Automation
    • Python Programming
    • Computer Science
  • 2021.04 - 2021.09

    Barcelona, Spain

    Research Intern
    i2CAT Foundation
    Detected disruptive situations in public transport using Speech Emotion Recognition with robustness to noise and overlapping speakers.
    • Speaker/gender-independent SER
    • F1 > 90% in noisy, multi-speaker settings

Volunteer

Education

  • 2022.11 - 2025.11

    Bologna, Italy

    PhD
    University of Bologna
    Computer Science and Engineering
  • 2019.09 - 2021.12

    Bologna, Italy

    M.Eng.
    University of Bologna
    Artificial Intelligence
  • 2016.09 - 2019.10

    Bologna, Italy

    B.Eng.
    University of Bologna
    Computer Engineering

Awards

Publications

Skills

Programming
Python
Java
C
C#
R
Scala
Prolog
SQL
MATLAB
ML Frameworks
PyTorch
TensorFlow
High-Performance Computing
SLURM
Parallel ML workflows
HPC clusters
Multi-GPU computing
Large Language Models
Fine-tuning
Model parallelism
Distributed inference
Version Control
GitHub
GitLab
Git
Bitbucket
Soft skills
Problem finding
Problem solving
Communication
Teamwork
Leadership

Languages

Italian
Native
English
Fluent
Spanish
Fluent

Interests

Multimodal NLP & Speech
Interpretability
Audio ML
Argument Mining
Clinical Speech Analysis

Projects

  • 2022.10 - 2024.12
    HumanE-AI-Net (H2020)
    PI for 'Promoting Fairness and Diversity in Speech Datasets for Affective Computing'; researcher on 'Emotion Recognition for Human-Centered Conversational Agents'.
    • Guidelines for diverse/unbiased speech datasets
    • Affective computing for conversational agents
  • 2021.04 - 2021.09
    5GMED (H2020)
    Ambient Intelligence – Disruptive Situations Detection on public transport through Speech Emotion Recognition.
    • Noise-robust SER
    • Public transport safety