DE MASI Giulia

Professor
[email protected]
https://giuliademasi.weebly.com/
Department of Sciences and Engineering, Sorbonne University Abu Dhabi

Expertise

Discover the specialized technical skills and disciplinary affiliations of our members, who represent the federated communities of the Arts & Humanities, Science & Engineering, and Medicine within the Sorbonne University Alliance.

Communities
Climate, Environment & The Universe
Mathematics, Computer Science & Robotics
Skills
Algorithms, Artificial vision, Complex networks, Data analysis, Decision making, Deep learning, Distributed systems, image processing, Machine learning, Mathematical models, Multi agent systems, Natural language processing, Neuromorphic computing, Pattern recognition, Reinforcement Learning, Robotics, Social networks, Spiking neural networks

Activities

Overview the professional milestones, academic responsibilities, and international collaborations that drive our center’s double ambition to excel in both research and education.

Responsibilities

Research mentoring and advising

Awards

  • IEEE Honor society member, international nomination recognizing Scholarship, Character and Attitude, 2024
  • WIE Propel Laureate, Leadership in the "IEEE OES in liaison with Women in Engineering", 2020
  • Women in Data Science (WiDS) Ambassador for the UAE (by Stanford University), 2018

Selected publications

  1. Joint Multi-Scale Multimodal Transformer for Emotion Using Consumer Devices, M. Khan, A. E. Saddik, W. Gueaieb, G. De Masi and F. Karray, Transactions of Consumer Electronics, accepted 2025
  2. Inverse Dynamics Modelling as a State Estimation Aid for Underwater Robots Navigation, Mohamed Hanbaly, Saverio Iacoponi, Andrea Infanti, Cesare Stefanini, Giulia De Masi, Federico Renda, IEEE Access , vol. 12, pp. 159214-159225, 2024
  3. Yield Estimation and Health Assessment of Temperate Fruits: A Modular Framework, Jamil Ahmad, Wail Gueaieb, Abdulmotaleb El Saddik, Giulia De Masi, Fakhri Karray, Engineering Applications of Artificial Intelligence, 136, 108871, 2024.
  4. Graph-Based Knowledge Driven Approach for Violence Detection, M. Khan, A. E. Saddik, W. Gueaieb, G. De Masi and F. Karray, page 1-8, Vol.14, IEEE Consumer Electronics Magazine, 2024
  5. VD-Net: An Edge Vision-Based Surveillance System for Violence Detection, M. Khan, A. E. Saddik, W. Gueaieb, G. De Masi and F. Karray,  IEEE Access, vol. 12, pp. 43796-43808, 2024

International collaborations

  • Sant'Anna School of Advanced Studies (Pisa, Italy), 2020- present; 
  • Research Center Enrico Fermi (Rome, Italy), 2023- present; 
  • International Center for Theoretical Physics (ICTP, Trieste, Italy), 2021-present; 
  • University of Ottawa (Canada), 2023-present.

Industrial collaborations

Technology Innovation Institute (Abu Dhabi, UAE), Feb 2020-Gen 2024