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
Marina Polizzi is a PhD student focusing on active fiber laser cleaning of the Technology for Cultural Heritage doctoral school of the University of Turin. She is a conservator of cultural heritage, with a specialization on stone materials, mosaics, plaster and decorated surfaces of architecture. Currently she is doing a PhD in collaboration with the Centro di Conservazione e Restauro La Venaria Reale and the El.En. Group on the use of active fiber laser for cleaning artworks, with particular emphasis on polychrome materials.
Education
- 2023-current: PhD student, Technology for Cultural Heritage, University of Turin, Italy
- 2023 - Master Degree in Conservation and Restauration of Cultural Heritage, University of Turin, Italy
Interests
- Laser cleaning of cultural heritage materials
- Active fiber lasers, study of the adjustable parameters and their interaction with the materials
- Use of chemometrics for the study of cultural heritage
- IR Spectroscopy, XRF, SEM/EDS, application of colorimetry and profilometry
Awards/Prizes/Distinctions
- 2021-2022 Award for the best graduated from the Department of Historical Studies
Abstract
Absorber υγροποιητή ηλίου
Technical Characteristics
Absorber, CPA2800, Mol Sieve για τον υπάρχοντα υγροποιητή ηλίου της CRYOMECH
Procedure
Contact Persons
Abstract
Absorber, CPA2800, Mol Sieve για τον υπάρχοντα υγροποιητή ηλίου της CRYOMECH
Technical Characteristics
Procedure
Contact Persons
To: 04/02/2026 13:00
Raman spectroscopy is a valuable and versatile tool used across various fields. Collected Raman light provides information on fundamental molecular bond vibrations in a minimally perturbing and label-free manner, revealing specific molecular fingerprints which can be later used to identify the sample. Technological advances over the last decade have led to different Raman spectroscopy modalities using light to interrogate vibrations of the molecules on the surface or deeper inside samples of interest such as cells or tissues. In this talk, I will focus on deep Raman spectroscopy (spatially- offset and transmission modalities) and will elaborate on relevant biological applications such as storage lesion assessment in transfusion blood bags, cell therapy and cancer diagnostics.
