Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SPECIAL SESSIONS LIST
AOMatDev 2025, Special Session on Advanced Optical Materials and Devices
Chair(s): Maria Raposo and Agostino Iadicicco
SpecSI 2025, Special Session on Spectroscopy and Spectral Imaging
Chair(s): Diana Guimarães, Sofia Pessanha and Pedro Jorge
Special Session on Advanced Optical Materials and Devices -
AOMatDev
2025
Paper Submission:
December 18, 2024
Authors Notification:
January 14, 2025
Camera Ready and Registration:
January 22, 2025
Scope
The AOMatDev Special Session addresses topics related with advances in optical materials and devices covering aspects related with design, processing, characterization, and applications.
Special Session on Spectroscopy and Spectral Imaging -
SpecSI
2025
Paper Submission:
December 18, 2024
Authors Notification:
January 14, 2025
Camera Ready and Registration:
January 22, 2025
Scope
This Special Session addresses topics related to the latest advances in spectroscopy and spectral imaging covering their applications across diverse fields such ãs industry, biomedical sciences, environmental monitoring, and cultural heritage and materials science, among others. We will focus on novel instrumentation development, data analysis techniques, machine learning, artificial intelligence, and cutting-edge research highlighting the potential of spectral imaging and spectroscopy to see beyond what our eyes can see.