Ioannis Christofilogiannis

Federated Learning Engineer | Electrical and Computer Engineering Graduate

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Interests

💻 Programming

🎨 Sketching

📚 Reading

✈️ Traveling

🤖 AI

🧠 ML

🌐 Federated Learning

🖌️ UI/UX

🎮 Gaming

Technical Skills

Python

C/C++

Unity/C#

Java

VHDL

SQL

GUI Dev

Web Dev

Linux

Windows

macOS

Characteristics

💡 Creative

🚀 Innovative

🧠 Problem Solver

👥 Team Player

Professional Experience

ML, Computer Vision Researcher - Hellenic Center for Marine Research

Remote | November 2024 - July 2025

Annotated underwater images for fish disease prediction
Trained YOLO models
Developed an Ai-assisted annotation GUI application

ML Research Intern - Heriot Watt University

Edinburgh, Scotland | July - August 2023 (visit website)

Developed machine learning algorithms for anomaly detection in fish gill analysis
Automated Qupath workflows using Groovy scripting
Created Python GUI application using tkinter for biomedical image processing
Collaborated with BCML Lab research team on cutting-edge ML projects

Software Developer - TUCer Autonomous Racing Team

Chania, Greece | January - July 2023 (visit website)

Implemented autonomous driving algorithms using ROS and Python
Developed Arduino-based sensor integration systems
Competed in Shell Eco Marathon 2023 in Nogaro, France
Optimized vehicle control systems for energy efficiency

Publications

FLASH: A framework for Federated Learning with Attribute Selection and Hyperparameter optimization

October 2025
- Best Student paper award in FLTA IEEE 2025 conference
- Authors: Ioannis Christofilogiannis, George Valavanis, Alexander Shevtsov, Ioannis Lamprou and Sotiris Ioannidis
Automatic Detection of fin, operculum and skin deformities in Mediterranean Fish Species

December 2025
- Open access, read here.
- Accepted in Aquacultural engineering journal.
- Authors: Ioannis Christofilogiannis, Dimitra Georgopoulou, Charalabos Vouidaskis, Zacharias Choulakis, Dimitris Voskakis, Nikos Papandroulakis
NON-INVASIVE MONITORING OF FISH MORPHOMETRIC TRAITS USING YOLO-BASED COMPUTER VISION IN AQUACULTURE

September 2025
- Accepted in Aquaculture Europe 25. September 22-25, 2025, Valencia, Spain. European Aquaculture Society conference
Feature selection in the Federated Machine Learning setting

May 2025
- Institutional Repository Technical University of Crete
  Note: The FLASH framework was initially called FLEx but was changed due to conflicts

Education

Trinity College Dublin

MSc Computer Science - Intelligent Systems | September 2025 - 2026 (visit website)

🥇 Winning team (Federated Infrastructure) on the collaborative event - Carnegie Mellon x NVIDIA Federated Learning Hackathon for Biomedical Applications

Technical University of Crete

Bachelor's with Integrated MSc in Electrical & Computer Engineering | 2019 - 2025 (visit website)

🎓 Diploma Thesis: Feature Selection in Federated Learning

🏆 TUC CTF 2023 Winner

🥇 EDGELESS Code Camp

💻 ICPC 2023

Diploma thesis: Feature selection in the Federated Machine Learning setting available here from 01/26
Winning team in TUC CTF 2023 competition
Participation and Raspberry pi prize win on EDGELESS 1st Code camp
Advanced beyond the initial phase (GRPC) to participate in the SEERC - ICPC December 2023 Regional Programming Competition

Graduate of PIERCE American College of Greece

High School Diploma | 2019 (visit website)

🎓 Student Board Member (2016-2019)

🏅 Math Competition Awards

Elected Member of the PIERCE Student Board for 3 years (2016-2019)
Distinctions in mathematics Student Competitions: Kangaroo, Hellenic Mathematic Society (Thales)

Professional Development & Training

Auditing CAREERS AND EMPLOYABILITY (CE) Course on Trinity College Dublin 2026

Federated Learning Summer School 2025

FLTA (Federated Learning Technology Alliance) | 2025 (visit website)

🌐 Federated Learning

🔒 Privacy-Preserving ML

📊 Distributed Systems

🎯 Advanced Training

Intensive summer school focused on cutting-edge federated learning techniques
Hands-on workshops with privacy-preserving algorithms and frameworks
Collaborative projects with international participants and industry experts from Flower, Scaleout, Nvidia FLARE, P2PFL

Language Proficiency

🇬🇧 IELTS 8.0

🇬🇧 Cambridge C1

🇨🇳 HSK2

🇫🇷 French A1

Notable Grades

Computer Security 10

C, Unix exercises

Graphics 10

Unity

Distributed Systems 10

Kubernetes, Docker, Full-stack

Computer Organization 10

MIPS processor in VHDL

Data & File Structures 9.5

Java labs

Object Oriented Programming 9

Java

Multiagent Systems 9

AI, Game Theory, Python

Computation Theory 9

Bison compiler, flex analyzer

Reinforcement Learning 9

Q-learning video recommendations

Intro to Programming 8.5

C, programming basics

Autonomous Agents 8.5

Robotics, Python, C++

Software Development Tools 8.5

Python, C

Electronics II 8.5

BJT, MOS, OPAMPs

Operating Systems 8

C, OS basics, scheduling

Featured Projects

Federated Learning Python C++ Docker

FLASH

A framework for Federated Learning with Attribute Selection. In proceedings FLTA IEEE 2025. We developed Feature Election a method to use conventional ML Feature Selection algorithms on FL and a federated Hyperparameter Optimization method.

Give us a on GitHub

YOLO Computer Vision Aquaculture Python GUI

YOLO Ai Assisted Annotation Tool

Simple, Ai-assisted annotation tool with YOLO model integration. Originally designed for classifying Mediterranean fish fin quality, this tool is highly adaptable for any binary classification annotation project.

Give us a on GitHub

YOLO Computer Vision Aquaculture Python GUI