🧠 ferdiu AI Solutions
I started my own business as a freelancer: here you can visit my website for more information about my services and projects. The aim of this project is to close the gap between innovative scientific research and the technology used by businesses. I am pursuing this purpose with the leverage of the research we do at ACLAI Lab with Prof. Guido Sciavicco.

🎓 Symbolic Machine Learning Researcher
Currently working at ACLAI Lab at the University of Ferrara, I specialize in AI and Symbolic Learning. My research spans decision trees, temporal reasoning, and explainability in machine learning.

💼 Triple Role at IN MM S.r.l.
I held the triple role of DevOps Engineer, Lead Developer, and AI Scientist at IN MM S.r.l., where I blended my expertise in development, operations, and artificial intelligence to drive innovative projects forward. I worked there until I realized that I wanted to start my own business, later creating ferdiu AI Solutions.

🎮 Indie Game Developer
When I’m not delving into the complexities of machine learning, I’m creating games! I enjoy building 2D games using Godot and crafting immersive 3D worlds with Unity. Check out some of my projects on itch.io!

• Symbolic Learning in Julia: I'm passionate about using Julia for symbolic AI, as seen in my contributions to projects like Sole.jl and SimpleCaching.jl.
• AI for Health: My research is focused on using machine learning for health-related applications, including the analysis of audio recordings (such as breath and cough sounds) to detect COVID-19. This project has led to publications in Artificial Intelligence in Medicine.
• Towards an Objective Theory of Subjective Liking: Exploring the intersection of AI and aesthetics, I was working on this project to understand the subjective experience of beauty through machine learning. This research was published in PLOS One.

I've authored and co-authored several papers, including:

• "Towards an Objective Theory of Subjective Liking" - Exploring the sense of beauty. Published in PLOS One.
• "The Voice of COVID-19" - Applying machine learning to health data, published in Artificial Intelligence in Medicine.

Check out my full publication list.