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In the era of “Big Data”, we have access to huge amounts of information, but how can we treat it and apply it to solve practical issues in Healthcare? If you want to see some of the answers to these questions, make sure you will pay close attention to the panel: “Engineering: the Keymaster if the Human Body”. Spellbinding concepts like artificial intelligence, medical imaging and healthcare be the hot topics during this session!


Emanuel Sousa

University of Minho, Portugal
Emanuel Sousa holds a Ph.D. in Electronics and Computers Engineering, from the University of Minho. During his PhD, he worked at the research lab on Autonomous (mobile and anthropomorphic) Robotics & Dynamical Systems – MAR Lab – , at the University of Minho/Centre Algoritmi /Dept of Industrial Electronics, under the supervision of Professor Estela Bicho, on the development of neuro-inspired computational models for allowing robots to learn from observation of human demonstrators and tutors feedback.
Since 2009, he has collaborated in R&D projects funded by the Portuguese government and European Commission, focused on human-robot interaction and collaboration, and Learning-by-demonstration. Currently, he is a researcher and project manager of the PIU group (Perception, Interaction and Usability) at the Centre for Computer Graphics in Guimarães, where he has been working on analysis of human bio-motion and behavior on HMI contexts.

Patrícia Figueiredo

LaSEEB, Institute for Systems and Robotics, Portugal
Patrícia Figueiredo, who is currently a tenured Assistant Professor at the Department of Bioengineering at IST, of the University of Lisbon, and the coordinator of the Evolutionary Systems and Biomedical Engineering Lab (LaSEEB) of the Institute for Systems and Robotics, Lisboa (ISR-Lisboa), has been distinguished with the Prize for Women in Science by L'Oréal Portugal, the 2nd best paper award by the Portuguese League against Epilepsy, and the António Xavier Prize for the best Portuguese PhD Thesis (as advisor) in NMR, EPR or MRI.
Brain imaging plays a crucial role in both basic and clinical neuroscience. In particular, functional imaging techniques are expected to deliver sensitive biomarkers for diagnosing and monitoring several neurological and psychiatric diseases. Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) are arguably the most important functional brain imaging techniques today.

Brígida Mónica Faria

Health School - Porto Polytechnic Institute, Portugal
Brígida Mónica Faria a BSc degree in Mathematics from the Faculty of Science, University of Porto, MSc in Multimedia Technology from the Faculty of Engineering, University of Porto (2008) and PhD in Computer Science from the University of Aveiro. She is an Adjunct Professor at Health School, Polytechnic of Porto (ESS – P.Porto) and researcher at LIACC - Artificial Intelligence and Computer Science Laboratory. She has extensive teaching experience in the fields of Informatics, Data Analysis, Medical Informatics, Health Sciences and Technologies, Statistics and Mathematics.
She conducts research in the areas of Machine Learning, Data Mining, Medical Informatics, Information Systems, Intelligent Robotics, Human Machine Interfaces and Serious Games. She participated in 10 research projects and developed several fully-functional prototypes in these areas. She supervised 14 dissertations and she is the author of more than 50 journal/conference publications indexed at SCOPUS and/or ISI Web of Knowledge.