Daniele Materia

About Me

I'm Daniele Materia, a Computer Science student at the Department of Mathematics and Computer Science of the University of Catania. I recently graduated with a Bachelor's Degree in Computer Science, during which I developed a strong interest in AI, leading me to choose it as the focus of my studies. I'm also a member of Image Processing Laboratory and the LIVE@IPLAB research group.
Feel free to contact me through one of my emails or any of my social media profiles.

Fun Facts

Bugs Squashed

Tends to ∞

Yearly contributions

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Resume

Education

Bachelor's Degree

Computer Science, with a study plan focused on Artificial Intelligence and Robotics.

Relevant courses: AI, Robotics, Social Media Data Analysis, Fundamentals of Data Analysis, ML.

Thesis title: Predicting Next-Active Objects with Vision Large Language Models in Egocentric Scenarios.

Final grade: 110/110 cum laude

High School Degree

Information and Communication Technologies.

Final grade: 100/100 with Honours

Experience

Nov. 2024 - Current
LIVE@IPLAB

Bachelor Student

Focusing on research on First Person (Egocentric) Vision

Feb. 2025 - Jun. 2025
Next Vision s.r.l.

Student Researcher - Internship

Conducting research and designing multimodal LLM-based Computer Vision algorithms, with a focus on Object Anticipation tasks in Egocentric Vision.

Coding Skills

Python

90%

C/C++

85%

Java

85%

JavaScript

70%

Knowledges

  • Algorithms and Data Structures
  • Software Engineering
  • Artificial Intelligence
  • Data Analysis
  • Social Media
  • Machine Learning
  • Problem-Solving
  • Computational Thinking
  • Communication
  • Presentation Skills

Certificates

ID: B8233280 04/10/2003
June 2022
Issued by Cambridge English Assessment
ID: 6NUYJO15BT42
September 2024
Issued by DeepLearning.AI
ID: 6RFVOJNBPLQ8
September 2024
Issued by DeepLearning.AI
C2 Proficiency
March 2023
Issued by EFSET (EF Standard English Test)

Projects

Danny

Danny

Discord Bot
ChiostroVR

ChiostroVR

VR Experience
HGA

Hybrid Genetic Algorithm to solve the WFVS problem

AI Project
Q-Learning

Q-Learning-Based Robot Navigation in a Simulated Maze Environment

Robotic Systems Project