Seminar
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Making Sense of Biosignals by Prof. Hugo Gamboa

How can biological signals from the human body be used to understand physiological processes and enable automated decision-making? This seminar explores different types of biosignals, from data collection and signal processing to analysis using machine learning. The talk also provides insights into current research at Nova University of Lisbon, in collaboration with PLUX and Fraunhofer Portugal.

Overview

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Seats available:65
Language:English
Portrait of Prof. Hugo Gamboa
Prof. Hugo Gamboa

Abstract

In this talk several types of biosignals will be covered explaining the challenges of collecting, processing, extracting information and making sense of the physiological dynamics.  The application of machine learning techniques to biosignals will also be covered to give a perspective on how to create automated decision mechanisms based on biosignals capture. During the several topics of the presentation, research examples conducted at Nova University of Lisbon in collaboration with PLUX and Fraunhofer Portugal will be given.

Bio

Hugo Gamboa is a Full Professor at the Physics Department of the Nova School of Science and Technology of the Universidade Nova de Lisboa and member of LIBPHYS. PhD in Electrical and Computer Engineering from Instituto Superior Técnico, University of Lisbon. As a Senior Scientist at Fraunhofer Portugal, he coordinates the Lisbon Office research group focusing on Intelligent Systems. He is a founder and President of PLUX, a technology-based innovative startup in the field wireless medical sensors, focused on microelectronics, biosignal processing and software development. He is the Director of LIBPHys and leads a researcher team with expertise on medical instrumentation, biosignal processing and machine learning applied to biosignals. Published more than 80 Journal Papers; 15 Book Chapters; 10 books (selected best papers); 130 Conference Papers. 

Affiliations

Full Professor at the Physics Department, Nova School of Science and Technology, Nova University Lisbon, Portugal

Director of LIBPHys Research Center

Coordinator of the Biomedical Engineering Doctoral Program

Kivanc Tatar

  • Associate Professor, Data Science and AI, Computer Science and Engineering
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