Vasileios Kitkas studied Physics at the Physics Department of the University of Crete (B.Sc., 2024) and is currently a postgraduate student in the MSc program “Photonics & Nanoelectronics” at the same department. His main research interests lie in the field of Optics, with emphasis on hyperspectral imaging and diffuse reflectance (DR) techniques.

He carried out his undergraduate thesis under the title “Diffuse reflectance for the identification of inks and pigments on manuscripts”. He is currently conducting his MSc thesis at the Institute of Electronic Structure and Laser (IESL) of FORTH in Heraklion, within the Photonics for heritage science group (PhoHS), focusing on the study of medieval inks and pigments in manuscripts and palimpsests, as well as the investigation of post-Byzantine books using diffuse reflectance spectroscopy.

Education

• Currentrly , MSc, Photonics and nanoelectronics, Physics Department, University of Crete, Greece
• 2024, Bachelor Physics Department, University of Crete, Greece

Interests

• Optics, with emphasis on hyperspectral imaging and diffuse reflectance techniques
• Imaging identification and study of medieval inks and pigments in palimpsest manuscripts and early printed books

Ioanna Stefanopoulou holds a Chemical Engineer diploma from the National Technical University of Athens and a MSc in Science and Technology for the Conservation of cultural heritage obtained at Sapienza University of Rome. Her studies mainly focus on spectroscopic techniques for the study of pigments and pictorial materials, often combined with chemometrics.

Education

• 2025, MSc, Science and Technology for the Conservation of Cultural Heritage, Sapienza University of Rome
• 2021, BSc, Chemical Engineering, National Technical University of Athens

Interests

• micro-FTIR spectroscopy
• microRaman spectroscopy
• External reflectance FTIR
• Fiber Optics Reflectance spectroscopy
• Multivariate analysis

Postdoctoral Researcher in Computer Engineering with a strong mathematical and algorithmic background in signal processing, graph signal processing, and data-driven modeling. Experienced in designing and implementing cutting-edge Machine Learning and Deep Learning solutions for complex, multimodal data. Core interests include digital signal processing, graph-based representations, and multimodal data integration. Skilled in advanced statistical methodologies, combining qualitative and quantitative analysis for robust feature extraction and modeling (h-index 8).

Education

• 2022, Ph.D Diploma, University of Crete, Computer Science Department, Crete, Greece
• 2015, M.Sc, Technical University of Crete, Department of Electronic Engineering, Crete, Greece
• 2013, B.Sc, Technical University of Crete, Department of Electronic Engineering, Crete, Greece

Career

• 2021-Current, Computational BioMedicine Laboratory (CBML)-FORTH, Crete, Greece

Interests

• Signal and image processing
• Graph signal processing
• Quantitative and statistical analysis
• Machine and deep learning

Education

• 2022 Bachelor of Science, Physics, University of Crete, Greece
• 2025 Master of Science, Material Science, University of Crete, Greece

Career

• 2026 - PhD Student, IESL, FORTH and University of Crete

Interests

• Phase retrieval of optically trapped exciton-polariton condensates
• Quantum simulators with the polariton condensate lattices