Email: anpentari@iesl.forth.gr
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Publications PDF: Download
Dr. Pentari Anastasia

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
Email: marina.polizzi@unito.it
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Ms. Polizzi Marina

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
ABSORBER ΚΑΤΑΚΡΑΤΗΣΗΣ ΡΥΠΩΝ ΓΙΑ ΤΟΝ ΥΓΡΟΠΟΙΗΤΗ ΗΛΙΟΥ
This call is now closed.
Publication Date
28/01/2026 00:00
Offers Closing Date
03/02/2026 10:00
Evaluation Date
03/02/2026 14:00
Type
Cost (Ex VAT)
2895€

Abstract

Absorber υγροποιητή ηλίου 

Technical Characteristics

Absorber, CPA2800, Mol Sieve για τον υπάρχοντα υγροποιητή ηλίου της CRYOMECH

Procedure

Contact Persons

ABSORBER ΚΑΤΑΚΡΑΤΗΣΗΣ ΡΥΠΩΝ ΓΙΑ ΤΟΝ ΥΓΡΟΠΟΙΗΤΗ ΗΛΙΟΥ
This call is now closed.
Publication Date
28/01/2026 00:00
Offers Closing Date
03/02/2026 10:00
Evaluation Date
03/02/2026 14:00
Type
Cost (Ex VAT)
2895€

Abstract

Absorber, CPA2800, Mol Sieve για τον υπάρχοντα υγροποιητή ηλίου της CRYOMECH

Technical Characteristics

Procedure

Contact Persons

DEEP RAMAN SPECTROSCOPY FOR BIOMEDICAL APPLICATIONS
Event Dates
From: 04/02/2026 12:00
To: 04/02/2026 13:00
External Speaker
Dr. Martha Vardaki (Institute of Chemical Biology, National Hellenic, Research Foundation, Athens, Greece)
Place
Online via Zoom: https://us02web.zoom.us/j/86272894255?pwd=iqrYuKayJTKoJQa3e2lRUfFzjnpwi1.1

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.

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