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README.md
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<div align="center">
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<img src="PraiseLogo_full.png" width="50%"/>
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</div>
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<h1 align="center">Hi 👋, we are the PRAISE Research Group</h1>
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<h3 align="center">Predictive Analytics for Understanding Big Multimedia Data @ University of Naples Federico II</h3>
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<p align="left">
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<img src="https://komarev.com/ghpvc/?username=praise-research" alt="praise-research"/>
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</p>
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---
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## 🧠 About Us
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The **PRAISE (PRedictive AnalytIcs for underStanding big multimEdia data)** research group is part of the **PICUS Lab** at the **Department of Electrical Engineering and Information Technologies (DIETI)**, University of Naples Federico II, Italy.
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We are a team of researchers with a strong background in **AI**, **multimodal data understanding**, and **predictive analytics** across multiple domains including **eHealth**, **Social Network Analysis**, and **Multimedia Data Analysis**.
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Our goal is to develop intelligent systems that can **understand**, **predict**, and **interact** with complex multimedia information—especially focusing on language, vision, and their integration.
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---
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## 🔬 Research Topics
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- **Multimodal AI for Healthcare**
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- Multilingual and multimodal language models
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- Diagnostic and therapeutic AI assistance
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- Automatic EHR generation from speech and unstructured text (Italian)
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- Medical image understanding (CT, MRI, X-ray, etc.)
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- **Social Network Modeling & Simulation**
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- Generative Agent-Based Frameworks
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- LLM-driven simulation of social phenomena: stance change, information diffusion
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- Tools for crowd fact-checking, fake news and harmful content detection
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- **Lie Detection from Multimedia Streams**
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- AI for behavioral analysis and deception detection
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- Collaborative project with US-based Courtscribes Company
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- **Big Scholarly Data Analytics**
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- Automated knowledge extraction and semantic enrichment
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- Development of analytics platforms for scientific literature
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---
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## 🤖 Models
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We are currently developing **fine-tuned multimodal language models** for the **Italian medical domain**, in collaboration with national (e.g., Accenture, Almaviva) and international partners (e.g., King’s College London).
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Our models integrate **textual** and **visual** medical data to support clinical tasks in real-world applications.
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---
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## 📄 View our papers
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<a href="https://scholar.google.com/citations?user=0FXky6Cr1RoC" target="_blank">
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<img alt="Google Scholar" src="https://img.shields.io/badge/Google_Scholar-4285F4?style=for-the-badge&logo=googlescholar&logoColor=white">
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</a>
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---
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## 📫 Contact Us
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- 🌐 **Hugging Face Page:** [PRAISELab@PICUSLab](https://huggingface.co/praiselab-picuslab)
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<h3 align="left">Connect with us:</h3>
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<p align="left">
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<a href="https://www.linkedin.com/company/praise-picuslab/" target="blank">
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<img align="center" src="https://raw.githubusercontent.com/rahuldkjain/github-profile-readme-generator/master/src/images/icons/Social/linked-in-alt.svg" alt="giuseppericcio" height="30" width="40"/>
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</a>
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</p>
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---
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## ⭐ Members
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<a href="https://github.com/PRAISELab-PicusLab/.github/graphs/contributors">
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<img src="https://contrib.rocks/image?repo=PRAISELab-PicusLab/.github" />
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</a>
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