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Welcome
Welcome to the BIP "Advanced Processing of Biomedical Signals and Images" at the Faculty of Sciences, University of Porto. We are excited to host students from Valencia, Norway, Paris, and Porto for a unique learning experience. This program will allow you to collaborate across borders, engage in interdisciplinary projects, and deepen your understanding of biomedical signal and image processing. I look forward to seeing the innovative ideas and connections that will emerge from this international collaboration.
Best regards
Miguel Coimbra
Coordinator of the Training Unit
Programme
Monday, 28th Oct
Time | Session | Room |
---|---|---|
10h00 | Reception and Registration | Department of Mathematics Library - 2nd Floor |
10h30 | Welcome Session | Department of Mathematics Library - 2nd Floor |
11h00 | Keynote lecture - Sergio Cerutti "The Concept of Digital Twin and Artificial Intelligence Algorithms in Biomedical Engineering" |
Department of Mathematics Library - 2nd Floor |
12h00 | Campus Visit | |
13h00 | Lunch | Department of Mathematics |
14h00 | Lecture - Javier García-Casado "EMG signal analysis for gynecology" |
Department of Mathematics Library - 2nd Floor |
15h00 | Hands-on Session Javier García-Casado, Gema Prats & Yiyao Yeo "EMG signal analysis for gynecology" |
Department of Mathematics Room 0.27 |
Tuesday, 29th Oct
Time | Session | Room |
---|---|---|
09h00 | Lecture - Francesco Renna "Deep learning techniques for digital cardiac auscultation analysis" |
Department of Computer Science 0.29 |
10h00 | Hands-on Session – Francesco Renna "Deep learning techniques for digital cardiac auscultation analysis" |
Department of Computer Science 1.84 |
13h00 | Lunch | Department of Computer Science |
14h00 | Cultural Activity - World of Wine | Bus @ FCUP entrance |
Wednesday, 30th Oct
Time | Session | Room |
---|---|---|
09h00 | Lecture - Helge Fredriksen "Time series classification based on Transformer methodologies" |
Department of Mathematics Library |
10h00 | Hands-on Session - Helge Fredriksen Time series classification based on Transformer methodologies |
Department of Mathematics Science 0.27 |
13h00 | Lunch | Alicantina |
14h00 | Scientific Activity Visit to SwordHealth offices |
Bus @ FCUP entrance |
19h30 | Cultural Activity Serralves em Luz |
Bus @ FCUP entrance |
Thursday, 31st Oct
Time | Session | Room |
---|---|---|
08h00 | Lecture - Stergios Christodoulidis "Digital pathology using deep learning" |
Department of Mathematics Library |
09h00 | Hands-on Session – Stergios Christodoulidis "Digital pathology using deep learning" |
Department of Mathematics 0.27 |
12h00 | Scientific Activity - Visit to ULS Gaia to view the use of AI technologies for cardiology (includes lunch) | Bus @ FCUP entrance |
Friday, 1st Nov
Time | Session | Room |
---|---|---|
09h00 | Lecture - Melissa Yan "Privacy, ethics, laws and responsibilities with health data" |
Department of Computer Science 0.29 |
10h00 | Hands-on Session - Melissa Yan "Privacy, ethics, laws and responsibilities with health data" |
Department of Computer Science 0.28 |
13h00 | Lunch | Mercado do Bom Sucesso |
14h00 | Scientific Activity - Live remote connection to Real Hospital Português, Brazil, to view the use of AI Tech during auscultation | Department of Computer Science 0.29 |
13h00 | Lunch | Mercado do Bom Sucesso |
15h30 | Closing Session | Department of Computer Science 0.29 |
Keynote Speaker

Sergio Cerutti
Emeritus Professor at the Politecnico in Milano
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Carries out his research and didactical activities in the area of Advanced Biomedical Signals Analysis at the Department of Electronics, Information and Bioengineering (DEIB). In previous years, at the same Politecnico, he has been i) Chairman of the Bachelor Track in Biomedical Engineering (1996-2000), ii) Head of the Department of Bioengineering (2000-2006), and iii) Chairman of the Programs of Biomedical Engineering (2010-2012).Emeritus Professor at the Politecnico in Milano where he carries out his research and didactical activities in the area of Advanced Biomedical Signals Analysis at the Department of Electronics, Information and Bioengineering (DEIB). In previous years, at the same Politecnico, he has been i) Chairman of the Bachelor Track in Biomedical Engineering (1996-2000), ii) Head of the Department of Bioengineering (2000-2006), and iii) Chairman of the Programs of Biomedical Engineering (2010-2012). His research activity is mainly dedicated to various aspects of biomedical signals, data processing and modeling related to the field of neurosciences as well as in cardiovascular and autonomic nervous system applications. More recently, he dedicated himself also to Biomedical Imaging, the Fusion of Biosignals with Medical Images, and Bioinformatics, i.e. the applications of modeling techniques and data processing to the strings of information contained in the DNA, RNA and in proteomics data. He is the Author of more than 700 indexed international scientific contributions. His h-Index is 79 (Google Scholar), with an overall number of citations of more than 56,000. He has coordinated or was involved in various research projects at national and international levels in various topics of Biomedical Engineering and Bioinformatics. The most recent ones funded by EU are: My-Heart, Heart Cycle, Psyche and Link. He spent over a year as a Visiting Professor at MIT and Harvard School of Public Health, Boston MA, USA, in the ‘80s, as well as a period of 4 months at the Department of Physics of the IST (Instituto Superior Tecnico), Technical University in Lisbon, Portugal, in 2008. Starting from 1995 he has been the organiser of 6 IEEE-EMBS International Summer Schools on Advanced Biomedical Signal Processing held in Siena and in Pavia, as well as of Biosignal Interpretation Conferences (BSI). In 2015 he has been the Conference Chair of the 37th Annual Conference of IEEE-EMBS in Milano (more than 3300 participants).
He is a Member of the Editorial Board of various journals in the Biomedical Engineering area: in particular, he is an Associate Editor of IEEE Transactions on Biomedical Engineering and Physiological Measurements and he is in the editorial board of Medical Engineering & Physics, Biomedical Signal Processing & Control, Medical and Biological Engineering & Computing, Annals of Non- Invasive Electrocardiology, Critical Reviews in Biomedical Engineering, etc.
Instructors

Javier García-Casado
Full Professor at Universitat Politècnica de València
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With has more than 20 years of experience in biomedical research. He has participated in 30 competitive research projects (9 national, 7 regional, 14 local) for amounts >1M€, being principal investigator in 15 of them in the field of development of monitoring systems, digital processing techniques and expert classification systems to support clinical decision making and aid diagnosis.
These systems and tools have been used mainly in the areas of obstetrics, gastrointestinal, cardiology, pelvic floor and recently swallowing and electroencephalography; collaborating with various national and international hospitals and research groups (USA, Slovenia, France, China, Colombia). In the design of monitoring and recording systems, his experience ranges from the selection and specific configuration of commercial devices, to the development of specific electrodes for surface EMG recordings, and electronic equipment for wireless signal conditioning and transmission. In the field of signal processing, he has extensive experience with tools to improve the quality of bioelectric signals by reducing the interferences embedded in them, as well as in signal characterization parameters in different domains such as temporal, spectral and/or time-frequency, as well as in non-linear analysis to assess the complexity (degree of organization) and/or predictability of the signal. Also in parameters that assess the degree of coupling or relationship between signals of different nature or in different locations.
In addition, he has developed different systems to support diagnosis and clinical decision-making based on artificial intelligence. The results have led to +50 publications in JCR articles, +50 international conferences, +40 national conferences, 8 research awards and 2 patents. He has supervised 6 doctoral theses, 18 master’s theses and +45 final degree projects. He has also participated in 19 transfer/service provision contracts (>350k€), 15 of them as a manager, and is a project evaluator for Spanish, French, Dutch research agencies and the European Research Council, as well as for several international and national journals and conferences. Founder and Director of Research and Innovation of the company Sonda Devices of the International IVI Group. Secretary of the Center for Research and Innovation in Bioengineering at the Polytechnic University of Valencia since 2016.

Stergios Christodoulidis
Assistant Professor at the Department of Mathematics of CentraleSupélec
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Stergios Christodoulidis has a background in Electrical and Computer Engineering and holds a PhD in Biomedical Engineering from the University of Bern. Currently, he’s is involved in research and teaching activities related with Artificial Intelligence. His research is focusing on applied machine learning for healthcare. He has been awarded with a fellowship by the Swiss National Science Foundation with which he worked at Gustave Roussy as a postdoctoral researcher focusing on multi-modal breast cancer data while he is also a part of the PRISM center for precision medicine in oncology.

Francesco Renna
Professor in the Department of Computer Science at the Faculty of Sciences, University of Porto and a Researcher at INESC TEC
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Between 2007 and 2019, he held positions as a Visiting Researcher and Postdoctoral Fellow at various prestigious institutions, including Princeton University, Duke University, and the University of Cambridge. He received an Individual Marie Sklodowska-Curie Fellowship from the European Commission. He has over 80 scientific publications, 28 of which are in high-impact Q1 journals, accumulating more than 2,000 citations and an h-index of 19 (source: Google Scholar). Dr. Renna’s research interests include high-dimensional information analysis, with application to biomedical signal and image processing. Dr. Renna has been actively involved in 19 research projects funded by organizations such as FCT, the Royal Society, EPSRC UK, the European Commission, Portugal’s PRR, the Telecommunications Institute, and INESC TEC.

Helge Fredriksen
Associate Professor in the Department of Computer Science at UiT – The Arctic University of Norway
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His research focuses on applied generative AI, with a specialization in its applications to sequence modeling. He actively participates in several projects across the clinical and maritime domains, applying Transformers for prediction and classification tasks. In addition to his research, he teaches a range of topics in the Master’s program in Bodø, covering everything from fundamental machine learning to advanced topics in generative AI.

Melissa Yan
Postdoctoral Fellow at the Department of Computer Science at the Norwegian University of Science and Technology.
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Her research focuses on developing machine learning and natural language processing resources for sepsis and infection surveillance. This includes an annotated textual corpus and corresponding ontology for reasoning and identifying infections within clinical notes.

Yiyao Ye Lin
Full Professor at Universitat Politècnica de València
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Obtained Industrial Engineering title from Universitat Politècnica de València (UPV) in 2004, Master in Project Management and Direction in 2005 and Doctorate in Electronic Technology from the same university in 2009. She completed her postdoctoral stay at Université Technologie de Compiegne (Compiegne, France) in 2009, at Beijing University of Posts and Telecommunications (BeiJing, China) in 2019, and at BeiJing University of Technology (BeiJing, China) in 2023 and 2024. He currently works as Full professor at UPV and member of the Center for Research and Innovation in Bioengineering (Ci2B) of the same university. She has actively participated in 29 competitive research projects (8, 8 and 13 at the national, regional and local levels respectively), being the main researcher in 9 of them (3 at the national, 2 regional and 4 local levels respectively). She has also collaborated on 6 research and transfer contracts with companies for the development of bioelectrical signal acquisition/monitoring systems.
She has extensive experience (near 20 years) in sensor design, biomedical instrumentation, wireless sensor network and/or IoT systems, biomedical signal processing (electrohysterogram, electroencephalogram, electrocardiogram, electromyogram, among others), pattern analysis, development of expert systems to support diagnosis using machine learning algorithm. Currently she also collaborates with 4 national hospitals, 2 national company, and 6 international research groups.
The research results have given rise to 56 publications in high-impact JCR journals: 13 Q1, 27 Q2, 13 Q3 and 3 Q4, 2 international book chapters, 1 publication in non-indexed journals, 2 patents (1 national and 1 international ) and more than 60 conferences. She has co-directed 4 doctoral theses, and another 5 theses in progress. She has 3 positive evaluations from CENAI six-year periods. According to Google Scholar records, these publications received a total of 1162 citations in July 2024, with the h-index of 19. She has received the ConfiHe 2010 award from the Antares Consulting company, the best work awards from the BIODEVICES / BIOSTEC international conferences in 2013 and 2017, and the Jack Perkins award from The Institute of Physics and Engineering in Medicine in 2019.

Gema Prats Boluda
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BSc in Industrial Engineering from Polytechnic University of Valencia (UPV) and PhD in Electronic Engineering from the same university in 2009. She has wide experience in the biomedical engineering field, involving sensors & and biomedical instrumentation development, biomedical signal processing, and implementation of diagnostic support systems using artificial intelligence.
Her teaching focuses on the field of electronic instrumentation, signal processing, and neuroengineering in various undergraduate and master’s programs at the Universitat Politècnica de València, such as the Bachelor’s Degree in Electronics and Industrial Automation, the Bachelor’s Degree in Biomedical Engineering, the Master’s Degree in Industrial Engineering, and the Master’s Degree in Biomedical Engineering. She has participated in >30 competitive research projects (>1M€), being the principal investigator of 11 of them. The results of these works have given rise to >50 articles in JCR-SCI journals, > 80 papers in congresses, 5 doctoral theses supervised 2 progress, 3 research book chapters in international publishers, and several research awards. He has directed >60 final degree projects and >15 master’s theses. She has collaborated with research centers of international relevance (6 centers in countries such as the USA, Italy, and Colombia) with results in joint JCR-SCI publications.
Her activity also involves technology transfer, with 11 R&D contracts with international companies of recognized prestige (General Electric Healthcare, IBM, among others ) as well as with pharmaceutical companies such as Bial. She is a co-author and scientific interlocutor of a patent on concentric ring electrodes for bioelectric signal-capturing and a protected Know-how in a portable device for conditioning, recording, and wireless transmission of bioelectric signals: maternal-fetal monitoring application (ART-MMF).
She is a member of the board of directors of the Spanish Society of Biomedical Engineering and a member of the editorial board of the journal Scientific Data and Sensors. PUBMED INDEXED PUBLISHED WORK https://pubmed.ncbi.nlm.nih.gov/?term=prats-boluda&sort=date More information: ORCID and UPV
Organizers

Miguel Coimbra
Coordinator of the BIP course
Full Professor at the Computer Science Department of the Faculty of Sciences of the University of Porto
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He is a member of the Executive Board of the Faculty of Sciences of the University of Porto since 2019, current coordinator of the TEC4Health line of INESC TEC, and past Chair of the Portugal Chapter of the IEEE Engineering and Medicine Society (2017-2021). He was the Director of the Master in Medical Informatics of the University of Porto between 2014-16.

Daniel Pereira
Training and cooperation Unit - Faculty of Sciences of the University of Porto

Inês Almeida
FCUP Training and cooperation Unit - Faculty of Sciences of the University of Porto

Tomás Ferreira
Bachelor's Degree in Computer Science at the Faculty of Sciences, University of Porto. Currently pursuing a Master's Degree in Computer Science at the same institution.
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His thesis investigates the generalization capabilities of computer vision algorithms for detecting gastric lesions in endoscopy images. By combining data science and computer vision expertise, he implements and evaluates advanced segmentation algorithms tailored for multi-center datasets.

David Marques
Bachelor’s degree in Computer and Informatics Engineering from FEUP and is currently pursuing a Master’s in Data Science at FCUP.
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Their thesis focuses on developing reliability metrics for computer vision algorithms aimed at detecting gastric lesions in endoscopy images, combining expertise in data science and computer vision to contribute to advancements in medical imaging reliability.

Miguel Martins
Pursuing PhD. in Computer Science at the Faculty of Sciences of thE University of Porto on hybrid statistical and geometrical priors for deep learning models.
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Industry experience as a data scientist in NLP. Researcher at INESC-TEC C-BER lab.