Georgia Fargetta Researcher & Assistant Professor

About

I am a Researcher (RTD-A, INFO-01/A) and Assistant Professor at the University of Catania, Department of Mathematics and Computer Science, and a member of the Image Processing Laboratory (IPLab) and of the BiOrg Biometric Research Group. My research focuses on trustworthy computer vision and adversarial machine learning for security-sensitive applications, spanning multimedia forensics, multimodal learning, and open-set recognition. In parallel, I have a background in optimization and game-theoretic modeling for complex networks.

CV at a glance

  • Current Position: RTD-A (INFO-01/A), University of Catania • Member of IPLab • PNRR FAIR Project.
  • Research Areas: Trustworthy Computer Vision • Multimedia Forensics • Multimodal Biometrics • Adversarial ML • Open-set Recognition • Optimization & Game Theory.
  • Awards: YoungWomen4OR Award (2021) • AIRO Young Dissertation Award (2023).
  • Education: Ph.D. in Computer Science (2023) • MSc Mathematics • BSc Mathematics.
  • Teaching & Supervision: Lecturer for BSc, MSc, PhD • Courses in AI/ML, Algorithms, CS Foundations, Linear Algebra • Supervision of MSc theses and internships, and co-supervision of Ph.D. students.

News

Events

Conference organization, programme committees, keynote talks, and invited speaker roles.

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Publications

Below you find recent publications and a complete list. For the most up-to-date record (including citation counts), please refer to Google Scholar.

Recent highlights

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Full publication list

Journal articles

G. Fargetta, A. Ortis, S. Battiato, L. R. Scrimali. Analyzing interactions in donation-based live streaming platforms: a multi-leader-follower game approach.
Social Network Analysis and Mining · 2025
G. Fargetta, L. R. Scrimali. A tripartite evolutionary game for strategic decision-making in live-streaming e-commerce.
Journal of Computational Science · 2025
C. Crespi, R. A. Scollo, G. Fargetta, M. Pavone. A sensitivity analysis of parameters in an agent-based model for crowd simulations.
Applied Soft Computing · 2023
G. Fargetta, L. R. Scrimali. A sustainable dynamic closed-loop supply chain network equilibrium for collectibles markets.
Computational Management Science · 2023
R. A. Scollo, A. G. Spampinato, G. Fargetta, V. Cutello, M. Pavone. Discovering Entities Similarities in Biological Networks Using a Hybrid Immune Algorithm.
Informatics · 2023
G. Fargetta, A. Maugeri, L. Scrimali. A Stochastic Nash Equilibrium Problem for Medical Supply Competition.
Journal of Optimization Theory and Applications · 2022
G. Fargetta, L. Scrimali. Optimal emergency evacuation with uncertainty.
Springer Optimization and Its Applications · 2022
G. Fargetta, L. R. Scrimali. Generalized Nash equilibrium and dynamics of popularity of online contents.
Optimization Letters · 2021
V. Cutello, G. Fargetta, M. Pavone, R. A. Scollo. Optimization algorithms for detection of social interactions.
Algorithms · 2020

Conference proceedings

R. Zuccarà, G. Fargetta, A. Ortis, S. Battiato. Exploiting Adversarial Learning and Topology Augmentation for Open-Set Visual Recognition.
CVPR Workshops (CVPRW) · 2025
R. Zuccarà, G. Fargetta, A. Ortis, S. Battiato. Exploring Gradient Reduction Methods in Distributed Data.
IntelliSys · 2025
G. Fargetta, A. Ortis, S. Anile, S. Battiato. Evaluation of CNNs for Wildcats Classification in Real World Scenario.
ICAETA (Springer) · 2024
G. Fargetta, A. Ortis, S. Battiato. Neural Optimization for Pharmaceutical Transportation Under Stressful Conditions.
IEEE MetroXRAINE · 2024
C. Crespi, G. Fargetta, M. Pavone, R. A. Scollo. An Agent-Based Model for Crowd Simulation.
WIVACE (Revised selected papers, Springer) · 2023
C. Crespi, R. A. Scollo, G. Fargetta, M. Pavone. How a different ant behavior affects on the performance of the whole colony.
MIC (Springer) · 2023
G. Fargetta, L. Scrimali. Time-Dependent Generalized Nash Equilibria in Social Media Platforms.
ODS (Springer) · 2023
C. Crespi, G. Fargetta, M. Pavone, R. A. Scollo. An Agent-Based Model to Investigate Different Behaviours in a Crowd Simulation.
BIOMA (Springer) · 2022
G. Fargetta, L. Scrimali. A Multi-stage Integer Linear Programming Problem for Personnel and Patient Scheduling for a Therapy Centre.
ICORES · 2022
G. Fargetta, L. Scrimali. Closed-Loop Supply Chain Network Equilibrium with Online Second-Hand Trading.
ODS (Springer) · 2022
G. Fargetta, L. Scrimali. A Two-Stage Variational inequality for medical supply in emergency management.
ODS (Springer) · 2021
C. Crespi, G. Fargetta, M. Pavone, R. A. Scollo, L. Scrimali. A game theory approach for crowd evacuation modelling.
BIOMA (Springer) · 2020
G. Fargetta, L. Scrimali. A game theory model of online content competition.
ODS (Springer) · 2019

Other

G. Fargetta, F. Rundo, S. Battiato. Explainable AI for Enhancing Image Transformations in Cellular Neural Networks (extended abstract).
CVPR (WiCV) · 2025
G. Fargetta. Variational Inequality and Metaheuristic approaches to model and investigate agents’ strategies (Ph.D. thesis).
University of Catania · 2023
Full list on Google Scholar

Teaching

Complete teaching record (as listed in the CV), including courses, seminars, and invited teaching.

Informatica II — BSc Mathematics (University of Catania)

A.Y. 2025–2026 · Lecturer · 48 hours · SSD: INFO-01/A.

Algorithms Data structures Python labs

Fondamenti di Informatica — BSc Computer Science (University of Catania)

A.Y. 2024–2025 and 2025–2026 · Lecturer · 72 hours · 9 ECTS · SSD: INFO-01/A.

CS foundations Formal languages (module) Lab-oriented

Informatica — School of Specialization in Hygiene and Preventive Medicine

A.Y. 2023–2024, 2024–2025, 2025–2026 · Lecturer · 14 hours · 2 ECTS · SSD: INFO-01/A · University of Catania.

Applied computing Healthcare context

Ph.D. course — Introduction to Discrete Transforms for Signal Processing and Related Applications

A.Y. 2023–2024 · Lecturer · 12 hours · Ph.D. in Computer Science (International), University of Catania.

Signal processing Ph.D. teaching

Linear Algebra and Geometry — BSc Civil/Environmental/Management Engineering

A.Y. 2022–2023 (91 hours, 9 ECTS) and A.Y. 2023–2024 (93 hours, 9 ECTS) · Contract Lecturer · SSD: MAT/03 · University of Catania.

Linear Algebra Geometry Engineering

International teaching — Introduction to Adversarial Machine Learning

Mar 2024 · 10-hour course for Master’s and Ph.D. students · University of Rouen Normandy (France).

Adversarial ML Graduate level

Projects & Collaborations

Complete project record and collaborations.

FAIR (PNRR MUR PE0000013-FAIR) — 2023–2026

Fixed-term Researcher (RTD-A), University of Catania. Supervisor: Prof. Sebastiano Battiato.

Photos

Recent conferences and events.

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