Ph.D. in Computer Science
University of Catania • Oct 2024 – Present
AI and metaheuristics research with KOEXAI scholarship.
Generative AI / Metaheuristics / Optimization / Applied Research
Alessio Mezzina Ph.D. candidate in AI & metaheuristics.
Ph.D. candidate at the University of Catania, supported by KOEXAI Srl. I design AI and optimization systems that translate research into reliable tools.
Current role
Ph.D. in Computer Science
University of Catania • Oct 2024 – Present
- Ph.D. scholarship with KOEXAI Srl.
- Research in generative AI and metaheuristic optimization.
Generative AI
Metaheuristics
Optimization
Applied Research
About
About Me
I am a researcher and builder focused on turning AI and metaheuristic methods into usable systems. I enjoy mentoring students, collaborating with industry, and presenting results at conferences. Outside the lab, I recharge with hiking and tabletop games.
Generative AI
Metaheuristics
Optimization
Data Science
Applied Research
Problem Solving
Teaching & Mentoring
Conference Organization
Education
Academic path grounded in AI and optimization.
Teaching Abilitation Class A041
University of Catania • Jun 2024 – Dec 2024 • 10/10
M.Sc. in Computer Science — Data Science
University of Catania • Oct 2022 – Jul 2024 • 110/110 cum laude
Thesis: Real Time Adaptive Metaheuristic for Dynamic Optimisation (Map Labelling Case Study).
B.Sc. in Computer Science — Systems & Applications
University of Catania • Oct 2019 – Dec 2022 • 110/110 cum laude
Thesis: Visual Sonar — Underwater acoustics simulator and sonar systems.
Technical High School Diploma — IT
I.T.T. "Ettore Majorana" • Sep 2014 – Jul 2019 • 81/100
Teaching & Mentoring
Teaching Assistant
Algorithms & Laboratory • 2025, 2024
Guided B.Sc. students across multiple cohorts; reinforced algorithmic thinking with hands-on labs.
Teaching Assistant
Operating Systems • 2025
Led system-level labs; built student confidence in process management and concurrency basics.
Teaching Assistant
Applied Informatics • 2024
Delivered practical sessions for Biological Sciences students on applied computing.
Teacher Training Internship
Class A041 • Oct 2024 – Dec 2024
180-hour classroom internship delivering lessons and seminars with high instructional standards.
Thesis Co-supervision
2025
Co-supervised B.Sc. thesis.
Work Experience
Researcher
KOEXAI Srl • Oct 2024 – Present
Research and applied projects in AI and metaheuristics; scholarship partner for my Ph.D.
Software Development Engineering Intern
STMicroelectronics • Feb 2023 – Dec 2023
Built Power Automate Desktop PoCs, documented workflows, and collaborated with global engineering teams.
Publications
Peer-reviewed work and what's next.
ASTRAI: Advanced Supernova Transient Research with Artificial Intelligence
2025 - Submitted • KOEXAI collaboration.
3D YOLO-like Detector for Cosmic Voids: A Multi-Scale Deep Learning Approach to Large-Scale Underdense Structures
2025 - Submitted • KOEXAI collaboration.
HALOS: Hierarchical Aggregation Learning for Overdensity Search
2025 - Submitted • KOEXAI collaboration.
Retrieval Augmented Generation with Iterative Critique: A Framework for Structured Task Solving
2025 - ISC 2025 — accepted for publication.
A Weighted Binary String Benchmark to Assess the Efficiency of Stochastic Search Processes
2025 - ICSI 2025 — Presented in Yokohama, Best Student Paper. DOI: 10.1007/978-981-95-0982-9_10
A Real-Time Adaptive Tabu Search for Handling Zoom In/Out in Map Labeling Problem
2025 - LION18. DOI: 10.1007/978-3-031-75623-8_9
More on the way
Additional manuscripts under revision.
Scientific Roles
Community
Selected projects
Some of the deployed Work:
Conference website
WBO 2025
Summer school site
MESS 2026
Tooling
D&D Campaign & Battle manager
Narrative + combat tracking. Not live yet, contact me for a demo.
Request demoContact
Let's collaborate.
I partner with companies, labs, and individuals to design AI projects and software systems.
Phone
+39 333 204 0976Lab