Event Chairs

Ana Fred Instituto de Telecomunicações and Instituto Superior Técnico (University of Lisbon) Portugal

Brief Bio
Ana Fred received the M.S. and Ph.D. degrees in Electrical and Computer Engineering, in 1989 and 1994, respectively, both from Instituto Superior Técnico (IST), Technical University of Lisbon, Portugal. She is a Faculty Member of IST since 1986, where she has been a professor with the Department of Electrical and Computer Engineering, and more recently with the Department of Biomedical Engineering. She is a researcher at the Pattern and Image Analysis Group of the Instituto de Telecomunicações. Her main research areas are on pattern recognition, both structural and statistical approaches, with application to data mining, learning systems, behavioral biometrics, and biomedical applications. She has done pioneering work on clustering, namely on cluster ensemble approaches. Recent work on biosensors hardware (including BITalino – and ECG-based biometrics (Vitalidi project) have been object of several nacional and internacional awards, as well as wide dissemination on international media, constituting a success story of knowledge transfer from research to market. She has published over 160 papers in international refereed conferences, peer reviewed journals, and book chapters. ... More >>

Hugo Gamboa Nova University of Lisbon Portugal

Brief Bio
Hugo Gamboa is an Assistant Professor at the Physics Department of the Sciences and Technology Faculty 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 coordinates the Lisbon Office research group with the focus 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.

Elisabetta De Maria Université Côte d'Azur, CNRS, I3S France

Brief Bio
Elisabetta De Maria did her undergraduate and graduate studies at University of Udine, Italy, getting her PhD in 2009 studying computational methods for protein structure prediction, string comparison, and biological pathway analysis. From 2009 to 2011 she was Postdoctoral Fellow at INRIA Paris-Rocquencourt (France). The first year of her post-doctoral studies was funded by ERCIM (European Research Consortium for Informatics and Mathematics), an organization that annually selects talented researchers for post-doctoral fellowships encouraging mobility. The second year was funded by the international project ERAS ysBio+ C5Sys on the cell cycle and circadian clock in tumour processes.
Since September 2011 she is associate professor at Université Côte d’Azur, France. From September 2011 to June 2013 she was the coordinator of the International Research Master Program “Computational Biology and Biomedicine” (CBB) of University of Nice-Sophia Antipolis, France. Her expertise in bioinformatics, and more specifically in computational systems biology, led her to be part of the program committee of several international conferences, and to be the program chair of the conferences BIOINFORMATICS 2019 (10th International Conference on Bioinformatics Models, Methods and Algorithms), CSBio 2019 (10th International Conference on Computational Systems-Biology and Bioinformatics), and BIOINFORMATICS 2020 (11th International Conference on Bioinformatics Models, Methods and Algorithms).
Her researches aim at substantiating the claim that formal methods of computer science can provide effective solutions to solve biological and medical problems. For instance, she used formal methods to study the functioning of some processes which are central in cancer treatments (cell cycle, circadian clock, DNA-damage repair mechanism) in order to optimize time and dose injections of an anti-cancer drug. More recently, she exploited formal methods to identify some canonical neuronal networks of our brain and to study their biological dynamical properties. ... More >>

Andres Diaz Lantada Universidad Politecnica de Madrid Spain

Brief Bio
Andrés Díaz Lantada is Associate Professor at the Department of Mechanical Engineering at the Industrial Engineering School from Universidad Politécnica de Madrid (ETSII-UPM). He finished his 6-year Industrial Engineering Degree in 2005 and his PhD Theses in 2009, which received Extraordinary PhD Award by Universidad Politécnica de Madrid and 2nd PhD Award by the Council of Industrial Engineers of Madrid. His research interests are linked to the development of mechanical systems and biomedical devices with improved capabilities, thanks to the incorporation of smart materials, special geometries and complex functi onal surfaces and structures, mainly attainable by means of additive manufacturing processes. He is currently UPM Contact Researcher at the “European Virtual Institute of Knowledge-Based Multifunctional Materials”, UPM Leader at the “UBORA: Euro-African Open Biomedical Engineering e-Platform for Innovation through Education” project, funded by the EU H2020 programme within the “Support to policy and international cooperation” call, and Director of the UPM Product Development Laboratory. He has also led the research activities of UPM within the “TOMAX: Tool-less manufacturing of complex structures” project, funded by the EU H2020 programme within the “Factories of the future” call. He has directed 2PhD Theses and more than 100 MSc and BSc final degree theses. He has received the “UPM Teaching Innovation Award” in 2014, the “UPM Young Researcher Award” in 2014, and the “Medal to Researchers under 40” by the “Spanish Royal Academy of Engineering” in 2015. Since January 2016 he has the honour of being Member of the Editorial Advisory Board of the International Journal of Engineering Education. His current research dedication is to the field of open-source medical devices for the democratization of medical technology, in connection with the UBORA community and with the UBORA e-infrastructure, and to the development of innovative teaching-learning methodologies in the biomedical engineering field. ... More >>