Ioannis Christofilogiannis — ML Engineer & Researcher

About

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

Experience

ML, Computer Vision Researcher · Hellenic Center for Marine Research

Remote — November 2024 – July 2025

First author of Aquacultural Engineering Journal paper
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

Oct 2025

Best Student Paper — FLTA IEEE 2025

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

Best Student Paper award at the FLTA IEEE 2025 conference
Available on IEEE Xplore and publicly on Zenodo (preprint)

Ioannis Christofilogiannis, George Valavanis, Alexander Shevtsov, Ioannis Lamprou, Sotiris Ioannidis

Dec 2025

Automatic Detection of fin, operculum and skin deformities in Mediterranean Fish Species

Open access — read it here
Accepted in the Aquacultural Engineering journal

Ioannis Christofilogiannis, Dimitra Georgopoulou, Charalabos Vouidaskis, Zacharias Choulakis, Dimitris Voskakis, Nikos Papandroulakis

Sep 2025

Non-invasive Monitoring of Fish Morphometric Traits Using YOLO-based Computer Vision in Aquaculture

Accepted at Aquaculture Europe 25 — September 22–25, 2025, Valencia, Spain. European Aquaculture Society conference

Mar 2026

Towards Federated Learning Across Biobanks: Prototype Software from the 2026 Carnegie Mellon University–NVIDIA Hackathon

Available on the Open Science Framework
The Carnegie Mellon University–NVIDIA Federated Learning Hackathon for Biomedical Applications (January 7–9, 2026) convened researchers from academia, government, and industry to implement federated frameworks for disease subtyping, genetic association studies, and multimodal clinical prediction using NVIDIA FLARE.

May 2025

Feature Selection in the Federated Machine Learning Setting

Diploma thesis — Institutional Repository, Technical University of Crete
Note: the FLASH framework was initially called FLEx but was renamed due to conflicts

Education

Trinity College Dublin

MSc Computer Science — Intelligent Systems

September 2025 – 2026 (visit website)

🥇 Winning team (Federated Infrastructure) at the collaborative Carnegie Mellon × 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
Advanced beyond the initial phase (GRPC) to participate in the SEERC – ICPC December 2023 Regional Programming Competition

PIERCE — The 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 Mathematical Society (Thales)

Professional Development & Training

Careers and Employability (CE) Course — Trinity College Dublin

Auditing, 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

Featured Projects

Federated Learning Python C++ Docker

FLASH

A framework for Federated Learning with Attribute Selection. In proceedings of FLTA IEEE 2025. We developed Feature Election — a method to use conventional ML feature selection algorithms in 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 macOS Real-time ML

Mac Vision Tools

A macOS menu bar app for real-time ML-powered detection with multiple modes.

Give a on GitHub

Information Retrieval Hybrid Search Apache Lucene Sentence Transformers

A Poor Man's Hybrid Search

A lightweight hybrid search system combining classical BM25 lexical retrieval with neural semantic search using Reciprocal Rank Fusion (RRF). Achieves +27% MAP improvement over baseline BM25 on the Cranfield collection.

Give a on GitHub