Active
VISTA — Visual Assistance from Drones for Roadside Rescue
Research and validation of drone-based visual assistance, computer vision and AI to improve situational awareness and support post-crash emergency response.
University of Bari Aldo Moro · Department of Computer Science
Computational Intelligence Laboratory
CILab conducts fundamental and applied research in Computational Intelligence, combining computer vision, deep learning, fuzzy modelling and explainable AI with real-world applications.
About CILab
CILab is a research laboratory of the Department of Computer Science at the University of Bari Aldo Moro, coordinated by Prof. Giovanna Castellano.
Our work spans intelligent data analysis and visual understanding, with particular attention to efficient and explainable methods that can move beyond benchmarks and operate in complex application domains.
Research
Areas of expertise
01
Computer Vision and Deep Learning
Efficient and multimodal methods for visual intelligence, spanning deep learning, generative models and real-world visual understanding.
Explore area → 02Fuzzy Systems and Explainable AI
Interpretable intelligent systems based on fuzzy modeling, granular computing, explainability and adaptive learning.
Explore area → 03AI for Real-World Applications
Translating Computational Intelligence into real-world systems for healthcare, cultural heritage, drone-based applications and other complex domains.
Explore area →Recent projects
Research in practice
Completed
NEED — Next-Gen Digital Diagnostics
Research on explainable and trustworthy AI methods for digital diagnostics, with a focus on multimodal medical data and clinically meaningful explanations.
Completed
FAIR — Future Artificial Intelligence Research, Spoke 6
Research within Spoke 6 — Symbiotic AI, with CILab leading WP6.4 on the understandability of AI systems and contributing methods for interpretable and human-understandable AI.
Mission
What we do
Develop
Innovative methods and models in Computational Intelligence.
Apply
Research expertise to real-world problems across scientific and societal domains.
Disseminate
Knowledge through publications, teaching, collaboration and outreach.
News
Latest from CILab
Paper accepted at NeurIPS 2026
A CILab paper has been accepted at NeurIPS 2026.
Read moreCILab at ICPR 2026: PRESTIGE and IAPR Distinction Award
CILab took part in ICPR 2026 with research presentations, session chairing and the first PRESTIGE workshop; Gennaro Vessio also received an IAPR Distinction Award.
Read moreVISTA: drone and AI for roadside rescue
The first demonstration video presents CILab research on drone-based visual assistance and AI for post-crash emergency response.
Read moreStudents
Thesis opportunities
We welcome motivated B.Sc. and M.Sc. students interested in our research topics. Thesis projects may also be carried out with external partners when appropriate.
Explore thesis opportunities →