Hugo Gamboa (Hugo ∙ Gamboa)

Hugo Gamboa (Hugo ∙ Gamboa)

  1. Basic information

Nationality: Portuguese

Phone: +351 962611197

Email: hgamboa@fct.unl.pt

  1. Personal resume

•Tenured professor at the Department of Physics, New Academy of Sciences, NOVA University, Lisbon, and also works at the LIBPHYS-UNL Research Center

•Ph.D. in Electrical and Computer Engineering, Instituto Superior Técnico, Affiliated to the Technical University of Lisbon

•The doctoral thesis “Multimodal behavioral biometrics based on HCI and electrophysiology” proposed a new behavioral biometric model and made an important contribution to the latest technology in the field. In 2008, it won the Portuguese National Award “Futuras Promessas” ISA/Millennium BCP Award, which is awarded to the best doctoral thesis in the field of physics, electronics, information or biomedical engineering.

•IEEE Senior Member

•Former scientific committee chairman and senior scientist of the Portuguese branch of the German Fraunhofer Association, focusing on hardware design, signal processing and machine learning application research and industry technology transfer. The Fraunhofer-Gesellschaft is the largest applied scientific research institution in Germany and Europe.

•Director of Madan Parque High-tech Industry Incubator in Portugal (65 companies have been incubated)

•Founder and President of PLUX Wearable Wireless Biosignal Sensors, leading the technology innovation company’s interdisciplinary team to achieve the company’s research vision, covering microelectronics, biosignal processing and software development. Negotiated with national venture capital company CAIXA CAPITAL to implement the investment market development plan and introduce PLUX to the European medical device market

•In 2007, he received funding from the US-Portuguese Development Foundation and went to the Pattern Recognition and Image Processing Laboratory of Michigan State University under the guidance of internationally renowned scientist Anil Jain to conduct research.

•Served as a professor at Setubal Institute of Technology from 2000 to 2007, teaching courses in the field of artificial intelligence

  1. Work experience

From 2024, tenured (full) professor, Department of Physics, NOVA University, Lisbon

Starting from 2022, Director of Portugal Madan Parque High-tech Industry Incubator

2020-2024 Associate Professor, Department of Physics, NOVA University of Lisbon

2022 Visiting Professor, Tor Vergata University, Rome, Italy

2018 Visiting Professor at the Institute of Cognitive Systems, University of Bremen

Since 2014, Senior Scientist of the Fraunhofer Association in Germany

President of PLUX Wearable Wireless Biosignal Sensor Company since 2014

Since 2014 LIBPhys Research Center Instrumentation, Biomedical Engineering and Radiation Physics

lab members

2009-2014 Researcher at CEFITEC Physics and Technology Research Center

2009-2020 Assistant Professor, Department of Physics, NOVA Institute of Technology

2009 CIPER Postdoctoral Fellow, Interdisciplinary Center for Human Performance

2007-2014 CEO of PLUX Wearable Wireless Biosignal Sensor Company

2007-2008 Research Assistant at Lisbon Institute of Telecommunications

  1. Awards

2010 Most Innovative Award at the Barcelona International Innovation Summit (representing PLUX as CEO)

2010 ISCTE-IUL MIT Portugal Entrepreneurship Competition Life Sciences Group Winner (representing PLUX Company as CEO)

2008 Portuguese national “Futuras Promessas” ISA/Millennium BCP Award, awarded to the best doctoral thesis in the field of physics, electronics, informatics or biomedical engineering

2007 European Biometric Research Award EBF Finalist (Brussels, Belgium)

  1. Scientific research projects

•National level FCT- DSAIPA/AI/0105/2019 – PrevOcupAI: Prevention of occupational diseases in public administration based on artificial intelligence

•National FCT- CMUP-ERI/HCI/0046 - AHA Enhanced Human Activities

•National FCT-CMUP-ERI/HCI/051/2013 INSIDE

•National FCT-POCTI/DES/61761/2004 Biomechanical Load Modeling

•National level FCT-MITPt/BSHHMS/0042/2008

•National FCT-Operate MIT Portugal FEDER-045910

•National QREN WicardioResp, AAL4ALL - TICE.Healthy - doIT - InvisibleNetwork - Living Usability Labs - i2Life - Emotional Mouse

•European Grade FP7 ICT4 Depression – HARKEN – ABCProject

•European grade FP7 H2020 ITN Eternity. ITN Affectech. AiSym4med

Direct project allocation of 4.1 million euros (total project budget is approximately 45 million euros)

  1. Teaching

13 defended Ph.D.

7 Ph.D. candidates

77 Master of Science students, 5 of whom are not from our school

Taught seven courses: artificial intelligence, computer vision, physics, instrumentation, electrophysiology, signal processing, machine learning

  1. Language

Portuguese native language

english expert

Spanish fluent

French Basics

  1. Academic

•Co-chairman of BIOSTEC, the internationally renowned biomedical engineering conference, which has been successfully held for 17 times

•Invited to deliver keynote speeches at multiple national and international events, such as: 2021 Understanding Biosignals 7th International Conference on Biosignals, Images & Instrumentation, India 2012 Measuring Physiological Dynamics International Workshop on Experimental Economics & Finance, Karlsruhe

•65 journal articles; 16 book chapters; 10 books (selected best papers); 117 conference papers

  1. 10 representative works

(For a complete list, see http://orcid.org/0000-0002-4022-7424)

[1] Marília Barandas, Lorenzo Famiglini, Andrea Campagner, Duarte Folgado, Raquel Simões, Federico Cabitza, Hugo Gamboa, Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram, Information Fusion, Elsevier, (IF 18.6 Q1) 10.1016/j.inffus.2023.101978

[2] Duarte Folgado, Mariília Barandas, Lorenzo Famiglini, Ricardo Santos, Federico Cabitza, Hugo Gamboa, Explainability meets uncertainty quantification: Insights from feature-based model fusion on multimodal time series, Information Fusion, Elsevier (IF 18.6 Q1) 10.1016/j.inffus.2023.101955

[3] Isabel Curioso, Ricardo Santos, Bruno Ribeiro, André Carreiro, Pedro Coelho, José Fragata, Hugo Gamboa, Addressing the Curse of Missing Data in Clinical Contexts: A Novel Approach to Correlation-Based Imputation, Journal of King Saud University-Computer and Information Sciences, 2023 (IF 9.00 Q1) 10.1016/j.jksuci.2023.101562

[4] Margarida Antunes, Duarte Folgado, Marília Barandas, André Carreiro, Carla Quintão, Mamede de Carvalho, Hugo Gamboa, A morphology-based feature set for automated Amyotrophic Lateral Sclerosis diagnosis on surface electromyography, Biomedical Signal Processing and Control, 2023 (IF 5.07 Q1) 10.1016/j.bspc.2022.104011

[5] Luís Silva, Mariana Dias, Duarte Folgado, Maria Nunes, Praneeth Namburi, Brian Anthony, Diogo Carvalho, Miguel Carvalho, Elazer Edelman, Hugo Gamboa, Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work, Sensors 2022 (11), 4247 (IF 3.84 Q1) 10.3390/s22114247

[6] I Neves, D Folgado, S Santos, M Barandas, A Campagner, L Ronzio, F Cabitza, H Gamboa, Interpretable Heartbeat Classification using Local Model-Agnostic Explanations on ECGs. Computers in Biology and Medicine 133, 104393, 2021 (IF 3.43 Q1) 10.1016/j.compbiomed.2021.104393

[7] Marília Barandas, Duarte Folgado, Letícia Fernandes, Sara Santos, Mariana Abreu, Patrícia Bota, Hui Liu, Tanja Schultz, Hugo Gamboa, TSFEL: Time Series Feature Extraction Library, SoftwareX (IF 2.8 Q2) 2020 10.1016/j.softx.2020.100456

[8] D Folgado, M Barandas, R Matias, R Martins, M Carvalho, H Gamboa, Time Alignment Measurement for Time Series, Pattern Recognition, V81, 2018 (IF 4.58 Q1) 10.1016/j.patcog.2018.04.003

[9] R Leonardo, M Barandas, H Gamboa, A Framework for Infrastructure-Free Indoor Localization based on Pervasive Sound Analysis, IEEE Sensors Journal V 18, I: 10 2018 (IF 2.51 Q1) 10.1109/JSEN.2018.2817887

[10] A Hussain, A T S Semeano, S I C J Palma, A S Pina, J Almeida, B F Medrado, A C C S Pádua, A Carvalho, M Dionísio, R W Li, H Gamboa, R Ulijn, J Gruber and A C A Roque, Tunable gas sensing gels by cooperative assembly, Adv. Funct. Mater., 2017 (IF 12.1 Q1) 10.1002/adfm.201700803

Information as of 2024.3

Translated from the original Chinese source.

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