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Susana Alexandra Barbosa
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
Characterisation of Dansgaard-Oeschger events in palaeoclimate time series using the matrix profile method
Barbosa, S;Silva, ME;Rousseau, DD;
2024
NONLINEAR PROCESSES IN GEOPHYSICS
Towards an IDE for Scientific Computational Experiments
Costa, L;Barbosa, S;Cunha, J;
2023
2023 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING, VL/HCC
The effect of environmental parameters on radon concentration measured in an underground dead-end gallery (Vyhne, Slovakia)
Smetanova, I;Barbosa, SA;Vdacny, M;Csicsay, K;Silva, GA;Marekova, L;Almeida, C;
2023
JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY
A Review on CubeSat Missions for Ionospheric Science
Francisco, C;Henriques, R;Barbosa, S;
2023
AEROSPACE
Supervised theses
Trusted Data Transformation with Blockchain Technology in Open Data
Bruno Mário Tavares
D - 2024
UP-FEUP
Centres
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.
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.
