Research
Scientific Interests
Publications
ORCID: 0000-0003-2337-0779
Google Scholar: Otp4K5gAAAAJ
SCOPUS: 35103248500
Semantic Scholar: 34443965
DBLP: Sebastião_Pais
Projects
PAM4WELLNESS
Ongoing (28 months) - Started: 2021 Ends: 2023
The project's main objective is to enhance the technical-scientific knowledge in the field of aromatic and medicinal plants (PAM), in business and R&D entities, through agile and effective transfer processes for companies, aiming at the economic and commercial valorization of the PAM's value chain - health and well-being.
HORUS 360º iOMS inteligente Offender Management System
Ongoing (28 months) - Started: 2021 Ends: 2023
The HORUS 360 iOMS project aims to research and design a solution that supports the management of operations and information generated during the detention “life cycle”, imprisonment or surveillance of persons subject to custodial and non-custodial judicial measures. Through Artificial Intelligence and Predictive Analysis technology, the solution also supports the rehabilitation process and judicial or administrative decision-making processes.
MOVES
Ongoing (48 months) - Started: 2018 Ends: 2022
Within this project, we propose to develop a multilingual surveillance system capable of detecting emerging crowds by identifying rising events that foster high focus, high energy and high emotion on social media. Our fundamental hypothesis is that virtual crowds evidence similar characteristics to real crowds, which may allow their modelization in terms of complex computer systems by relying on advanced natural language processing and machine learning techniques. The current project lays at the intersection of important scientific research topics, namely urban informatics, natural language processing for social media, predictive analytics over big social data and image semtiment analysis.
HULTIG-C
Ongoing (24 months) - Started: 2019 Ends: 2021
The objective of this project is to build an NLP cloud platform, which enables researchers and users to use language processing components and resources, following the software-as-a-service paradigms. The focus is on multilingual text analysis based on an open-source infrastructure and compliant with relevant NLP standards.