Academic Publications
A Generalization of Multi-Source Fusion-Based Framework to Stock Selection
Information Fusion, 2024
A novel framework for multi-source fusion-based stock selection, leveraging advanced machine learning techniques for financial decision-making.
A Machine Learning-Based Web Tool for the Severity Prediction of COVID-19
BioTech, 2024
Development of a web-based machine learning tool designed to predict the severity of COVID-19 using advanced predictive models.
fMRI-Based Classification and Visual Explanation of Dyslexia and Spelling Disorder using Machine & Deep Learning
National Technical University of Athens, 2022
A research study applying machine and deep learning techniques to classify and provide visual explanations for dyslexia and spelling disorders using fMRI data.
Academic Presentations
Complaints Classification : Sentinment Analytics, Machine Learning to assess if customer queries should have been logged as complaint
University of Economics in Krakow (UEK), January 2025
🗣️ I introduced students to using Machine Learning (ML) for Complaint Classification 📊, demonstrating how ML enhances customer experience by detecting sentiment and repeat complaints, leading to smarter business decisions. 🚀 I emphasized that ML isn't just about models but solving real problems. 💡 To build a strong career, I advised students to think critically 🔍, invest in practical skills like Python & cloud tools 🛠️, and strengthen their network for better opportunities. 🌐
🎓 HSBC Summer School 2025 | Semi-supervised Machine Learning Project
HSBC Summer School 2025, Kraków, 2025
🎓 Presented our semi-supervised ML project at HSBC Summer School
- Shared work with bachelor's, master's, and PhD students plus HSBC professionals 🌍
- Audience engagement was exceptional—thoughtful questions and follow-up discussions ✨
- Conversations ranged from AI/ML to LLMs and the future of technology 💡
- Key insight: Clear communication and genuine dialogue matter as much as technical expertise 💬
