About me

I am a Researcher at Kingston University. Prior to that, I worked as an AI Researcher / Engineer at MetaMind Innovations. I received my Diploma (combined BSc & MSc) from the School of Electrical and Computer Engineering Aristotle University of Thessaloniki in July, 2023. During my undergraduate studies, I was a member of the ISSEL lab, fortunate to be supervised by Prof. Pericles Mitkas. My diploma thesis was on Few-Shot Learning Models for Load Forecasting in Smart Grids.

I am broadly interested in machine learning and particularly in few-shot learning, meta-learning and learning with limited supervision. Recently, I have been working on Generative AI and diffusion. I have also contributed to projects related to few-shot object/instance detection, energy-efficient machine learning with limited data and federated learning.

News

• [10/2025]: I am joining Kingston University as a researcher focusing on Generative AI and diffusion models for video generation. Feel free to reach me if you are working on these topics.
• [06/2025]: Our paper on the energy-efficiency of low-/few-shot object detection using data augmentations has been published in the Journal of Systems Architecture.
• [02/2025]: Our paper on few-shot learning for short-term load forecasting using meta-learning has been published in Energies.
• [08/2024]: Our paper on the energy-efficiency of data augmentation strategies for few-shot object detection has been accepted in IEEE SIES 2024.
• [08/2024]: I will attend the International Conference on AI in Healthcare (AIiH) where I will present our work on tackling class imbalance in federated learning settings. See you in Swansea!