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Susana Alexandra Barbosa
Senior Researcher
I’m a senior researcher at INESC TEC, working at the interface of data science, earth observation and robotics. My background is in physics and applied mathematics (astronomy), with a master degree in the field of scientific computing and a PhD in surveying engineering [Thesis: Sea level change in the North Atlantic from tide gauges and satellite altimetry]. My research is highly interdisciplinary, with a strong emphasis on data science, particularly time series analysis of environmental data. I’m keen on ensuring that data is FAIR and open, and I have published and made publicly available +10 datasets. I edited a book and 4 topical volumes, and authored 3 book chapters and +55 papers in international peer-reviewed journals. I served as expert evaluator for +10 foreign funding institutions.
Publications
Using nuclear observations to improve climate research and GHG emission estimates – the NuClim project
Susana Barbosa;Scott Chambers;Wlodzimierz Pawlak;Krzysztof Fortuniak;Jussi Paatero;Annette Röttger;Stefan Röttger;Xuemeng Chen;Anca Melintescu;Damien Martin;Dafina Kikaj;Angelina Wenger;Kieran Stanley;Joana Barcelos Ramos;Juha Hatakka;Timo Anttila;Hermanni Aaltonen;Nuno Dias;Maria Eduarda Silva;João Castro;Hanna K. Lappalainen;Eduardo Azevedo;Markku Kulmala;
2025
EPJ Nuclear Sciences & Technologies
Recent decoupling of global mean sea level rise from decadal scale climate variability
Donner, RV;Barbosa, SM;
2025
Improving GHG emissions estimates and multidisciplinary climate research using nuclear observations: the NuClim project
Barbosa, S;Chambers, S;
2025
Precipitation-driven gamma radiation enhancement over the Atlantic Ocean
Barbosa, SM;Dias, N;Almeida, C;Silva, GA;Ferreira, A;Camilo, A;Silva, E;
2022
Supervised Theses
ClimateCollab: A collaborative graph for reproducible evidence of climate change
Lázaro Gabriel Barros da Costa
D - 2021
UP-FEUP
Prediction of extreme values in data streams
Nuno Moura da Costa
D - 2021
UP-FCUP
Analysis and classification of marine solar radiation data
Márcia Silva Leite
M - 2023
UP-FCUP
Aiding researchers making their computational experiments reproducible
Lázaro Gabriel Barros da Costa
D - 2024
UP-FEUP
Centres
Robotics and Autonomous Systems
The Centre for Robotics and Autonomous Systems (CRAS) focuses on developing innovative robotic solutions for operation in complex environments. Each day, our researchers strive to map the unknown, creating solutions to explore the oceans’ depths, monitor the environment, or inspect infrastructures. Our goal? To become a global reference in robotics and autonomous systems, combining expertise in multisensory perception and 3D modelling, navigation and control, robotic manipulation and intervention - pushing the boundaries of autonomous robotics and integrating aerial, ground, and underwater robots into our solutions. Focusing on Technology Readiness Levels (TRL) between 5 and 8, CRAS develops prototypes and operational solutions for strategic sectors. Our laboratory infrastructure includes test tanks, prototyping workshops, and a wide range of equipment ready to operate in real-world environments. Our researchers also resort to Mar Profundo, a support vessel for testing and validating innovative maritime technologies - a key asset in bridging theoretical design and field validation. CRAS stands out for a practical approach: we combine advanced research with a strong focus on real-world applications, reducing human risk in hazardous missions, optimising operations and processes, and expanding the frontiers of autonomous robotics.
Human-Centered Computing and Information Science
The Centre for Human-Centered Computing and Information Science (HumanISE) brings together engineers, scientists, and designers with expertise in Human-Centred Computing (HCC), Computer Science (CS), and Information Science (IS). Interdisciplinarity, one of the Centre’s defining features, fosters the development of software systems, methods, and tools designed to empower individuals and their communities. The excellence and impact of HumanISE’s research, innovation, and consultancy activities allow addressing increasingly complex, volatile, heterogeneous, ambiguous, and uncertain challenges, while ensuring compliance with legal, ethical, and organisational standards and frameworks. Value transfer is achieved through close collaboration with academia and industry partners. HumanISE’s core research areas include Human-Computer Interaction; Computer Graphics and Interactive Digital Media; Information Management and Information Systems; Software Engineering; and Large-Scale and Special-Purpose Computing Systems, Languages, and Tools; as well as Computing for Embedded and Cyber-Physical Systems. HumanISE also explores innovation domains like Earth, Ocean and Space Sciences; Personalised Health Research; Geospatial Information Systems Engineering; and Applied Information Systems and Computing.
