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Francesco Renna received the Laurea Specialistica degree in telecommunication engineering and the Ph.D. degree in information engineering, both from the University of Padova, Padova, Italy, in 2006 and 2011, respectively. Between 2007 and 2019, he held Visiting Researcher and Postdoctoral appointments with Infineon Technology AG, Princeton University, Georgia Institute of Technology (Lorraine Campus), Supelec, University of Porto, Duke University, University College London, and University of Cambridge. From 2019 to 2022, he has been an Assistant Researcher at Instituto de Telecomunicações, Porto. Since 2022, he is a researcher with INESC TEC. Since 2023, he has been an Assistant Professor at the University of Porto, Portugal. His research interests include high-dimensional information processing and biomedical signal and image processing. Dr. Renna was the recipient of a Marie Sklodowska-Curie Individual Fellowship from the European Commission and a Research Contract within the Scientific Employment Stimulus program from the Portuguese Foundation for Science and Technology. He has published 26 Q1 journal papers.
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Identification

Personal identification

Full name
Francesco Renna

Citation names

  • Renna, Francesco

Author identifiers

Ciência ID
5311-6747-67B1
ORCID iD
0000-0002-8243-8350

Email addresses

  • frarenna@dcc.fc.up.pt (Professional)
  • francesco.renna@fc.up.pt (Professional)

Websites

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Telecommunications

Languages

Language Speaking Reading Writing Listening Peer-review
Italian Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
English Advanced (C1) Proficiency (C2) Advanced (C1) Advanced (C1)
Portuguese Advanced (C1) Proficiency (C2) Upper intermediate (B2) Advanced (C1)
French Beginner (A1) Elementary (A2) Beginner (A1) Elementary (A2)
Education
Degree Classification
2011/04/14
Concluded
 Ph.D. program in Information Engineering (Dottorato di Ricerca)
Università degli Studi di Padova, Italy
"OFDM in emerging wireless networks: Synchronization algorithms and physical layer security" (THESIS/DISSERTATION)
 N/A
2006/12/18
Concluded
 M.Sc. in Telecommunication Engineering (Laurea Specialistica)
Università degli Studi di Padova, Italy
"Sincronizzazione e sintonizzazione per sistemi UWB di tipo Multiband OFDM (Time and frequency synchronization for Ultra Wideband Multiband OFDM systems), in Italian" (THESIS/DISSERTATION)
 110/110 magna cum laude
2004/09/29
Concluded
 B.Sc. in Information Engineering (Laurea)
Università degli Studi di Padova, Italy
"Codici lineari a blocco: rivelazione e correzione d'errore (Linear block codes: error detection and correction), in Italian" (THESIS/DISSERTATION)
 110/110 magna cum laude
Affiliation

Science

Category
Host institution 		Employer
2022/02 - Current Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2019/06 - 2022/01 Auxiliary Researcher (Research) Instituto de Telecomunicações, Portugal
2017/09 - 2019/06 Postdoc (Research) Instituto de Telecomunicações, Portugal
2016/02 - 2017/08 Postdoc (Research) University of Cambridge Department of Applied Mathematics and Theoretical Physics, United Kingdom
2015/01 - 2016/01 Postdoc (Research) University College London Department of Electronic and Electrical Engineering, United Kingdom
2012/01/01 - 2014/12/31 Postdoc (Research) Instituto de Telecomunicações, Portugal
2011/01/01 - 2011/12/31 Postdoc (Research) Università degli Studi di Padova, Italy
2010/05/01 - 2010/07/31 Visiting Researcher (Research) CentraleSupélec, France
2010/02/01 - 2010/04/30 Visiting Researcher (Research) Georgia Tech Lorraine, France
2009/03/01 - 2009/09/30 Visiting Researcher (Research) Princeton University Department of Electrical Engineering, United States

Teaching in Higher Education

Category
Host institution 		Employer
2023/05 - Current Assistant Professor (University Teacher) Universidade do Porto, Portugal
2022/02 - 2023/05 Invited Assistant Professor (University Teacher) Universidade do Porto, Portugal
2017/09/01 - 2022/01/31 Invited Assistant Professor (University Teacher) Universidade do Porto Departamento de Ciência de Computadores, Portugal

Others

Category
Host institution 		Employer
2012/09/01 - 2014/12/31 Honorary research associate University College London Department of Electronic and Electrical Engineering, United Kingdom
2007/02/01 - 2007/10/31 Intern Infineon Technologies AG, Austria
Projects

Grant

Designation Funders
2017 - 2019 Advanced Information Processing in Blind Source Separation for PCG Analysis
SFRH/BPD/118714/2016
Post-doc Fellow
Instituto de Telecomunicações, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2016/02 - 2017/08 HiDDaProTImA – High-dimensional data processing: From theory to imaging applications
655282
Post-doc Fellow
University of Cambridge Department of Applied Mathematics and Theoretical Physics, United Kingdom
 European Commission
Concluded

Contract

Designation Funders
2024/01 - Current AI4LUNGS: AI-BASED PERSONALISED CARE FOR RESPIRATORY DISEASE USING MULTI-MODAL DATA IN PATIENT STRATIFICATION
101080756
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Horizon 2020
Ongoing
2023/01 - Current Heath from Portugal
PP2022-0148
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Ongoing
2021/03/01 - 2024/02/29 CAGED - Computer Assisted Gastric Cancer Diagnosis
PTDC/EEI-EEE/5557/2020
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
2022/01/01 - 2023/12/31 MultiScope - Combining cardiac auscultation and electrocardiography for non-invasive myocardium assessment
PP2021-0206
Principal investigator
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência
Ongoing
2019/06/01 - 2022/02/15 Advanced Blind Source Separation Algorithms with Applications to Heart Sound Analysis
CEECIND/01970/2017
10.54499/CEECIND/01970/2017/CP1393/CT0001
10.54499/CEECIND/01970/2017/CP1393/CT0001
Researcher
Instituto de Telecomunicações, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
2018/07/01 - 2021/06/30 Digitally Enhanced Stethoscope for Clinical Usage (DigiScope2 )
POCI-01-0145-FEDER-029200
Researcher
Fundação para a Ciência e a Tecnologia
Ongoing
2017 - 2018 SMARTHEART – Smarter Cardiac Sensing via Integrated Signal Processing
UID/50008
Post-doc
Instituto de Telecomunicações, Portugal
 Instituto de Telecomunicações
Concluded
2017 - 2018 Macro-to-Nano Human Sensing: Towards Integrated Multimodal Health Monitoring and Analytics (NanoSTIMA )
NORTE-01-0145-FEDER-000016
Post-doc
Instituto de Telecomunicações, Portugal
Concluded
2015 - 2016 Efficient Energy Management in Energy Harvesting Wireless Sensor Networks: An Approach Based on Distributed Compressive Sensing
info:eu-repo/grantAgreement/RCUK/EPSRC/EP2%FK0337002%F1/GB
University College London Department of Electronic and Electrical Engineering, United Kingdom
 UK Research and Innovation
Concluded
2013 - 2015 Future Health
NORTE-07-0124-FEDER-000068
Post-doc Fellow
Instituto de Telecomunicações, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2013 - 2014 International Exchanges Scheme
IE120996¿
Researcher
University College London Department of Electronic and Electrical Engineering, United Kingdom
 The Royal Society
Concluded
2012 - 2014 ESCAPADE – Enhancing communication security by cross-layer physical and data-link techniques
RBFR105NLC
Post-doc
Università degli Studi di Padova, Italy
 Ministero dell'Istruzione dell'Università e della Ricerca
Concluded
2013 - 2013 NIPMISN - Novas Metodologias de Processamento de Informação para Redes Inteligentes de Sensores
CMU-PT/SIA/0026/2009
Post-doc Fellow
Instituto de Telecomunicações Campus Universitário de Santiago, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2012 - 2013 DEWICOS – Design of Next Generation Very High Data Rate Wireless Communications Systems
PTDC/EEA-TEL/100854/2008
Post-doc Fellow
Instituto de Telecomunicações, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2011 - 2011 Quantum Future
STPD08ZXSJ
Post-doc Fellow
Università degli Studi di Padova, Italy
 Università degli Studi di Padova
Concluded
2009 - 2010 NEWCOM++
216715
Researcher
Università degli Studi di Padova, Italy
 European Commission
Concluded
2006 - 2007 Enabling blocks for the CMOS integration of a Multiband OFDM UWB transceiver
P.R.I.N. 2005093524
Researcher
Università degli Studi di Padova, Italy
 Ministero dell'Istruzione dell'Università e della Ricerca
Outputs

Publications

Book chapter
  1. Baeza, Rúben; Santos, Carolina; Nunes, Fábio; Mancio, Jennifer; Fontes-Carvalho, Ricardo; Coimbra, Miguel; Renna, Francesco; Pedrosa, João. "A Generalization Study of Automatic Pericardial Segmentation in Computed Tomography Images". In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 157-167. Springer Nature Switzerland, 2023.
    10.1007/978-3-031-32029-3_15
  2. Barbosa, Marta; Renna, Francesco; Dourado, Nuno; Costa, Rúben. "Construction of an Algorithm for Three-Dimensional Bone Segmentation from Images Obtained by Computational Tomography". In Current and Future Trends in Health and Medical Informatics, 47-71. Springer Nature Switzerland, 2023.
    10.1007/978-3-031-42112-9_3
  3. Sousa, Lígia; Braga, Diogo; Madureira, Ana; Coelho, Luis; Renna, Francesco. "Characterizing Parkinson’s Disease from Speech Samples Using Deep Structured Learning". In Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018), 137-146. Springer International Publishing, 2019.
    10.1007/978-3-030-17065-3_14
  4. Renna, Francesco; Laurenti, Nicola; Tomasin, Stefano. "MIMOME Gaussian Channels with GMM Signals in High-SNR Regime: Fundamental Limits and Tradeoffs". In Physical and Data-Link Security Techniques for Future Communication Systems, 33-52. Springer International Publishing, 2015.
    10.1007/978-3-319-23609-4_3
  5. Rodrigues, Miguel; Nokleby, Matthew; Renna, Francesco; Calderbank, Robert. "Compressive Classification: Where Wireless Communications Meets Machine Learning". In Compressed Sensing and its Applications, 451-468. Springer International Publishing, 2015.
    10.1007/978-3-319-16042-9_15
Conference paper
  1. Lopes, Inês; Coimbra, Miguel; Renna, Francesco. "Improving Endoscopy Lesion Classification Using Self-Supervised Deep Learning". Paper presented in 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida, 2024.
    Submitted
  2. Gaudio, Alex; Giordano, Noemi; Tavares Coimbra, Miguel; Kjaergaard, Benedict; Emil Schmidt, Samuel; Renna, Francesco. "Cross-Domain Detection of Pulmonary Hypertension in Human and Porcine Heart Sounds". 2023.
    10.22489/cinc.2023.071
  3. Pedroso, Maria; Martins, Miguel L.; Libânio, Diogo; Dinis-Ribeiro, Mário; Coimbra, Miguel; Renna, Francesco. "Fractal Bilinear Deep Neural Network Models for Gastric Intestinal Metaplasia Detection". 2023.
    10.1109/bhi58575.2023.10313503
  4. Martins, Miguel L.; Pedroso, Maria; Libânio, Diogo; Dinis-Ribeiro, Mário; Coimbra, Miguel; Renna, Francesco. "Diagnostic Performance of Deep Learning Models for Gastric Intestinal Metaplasia Detection in Narrow-band Images". 2023.
    10.1109/embc40787.2023.10340055
  5. Silva, Aníbal; Teixeira, Rafael; Fontes-Carvalho, Ricardo; Coimbra, Miguel; Renna, Francesco. "On the Impact of Synchronous Electrocardiogram Signals for Heart Sounds Segmentation". 2023.
    10.1109/embc40787.2023.10341149
  6. Domingues, Rúben; Nunes, Fábio; Mancio, Jennifer; Fontes-Carvalho, Ricardo; Coimbra, Miguel; Pedrosa, João; Renna, Francesco. "Automatic Contrast Generation from Contrastless Computed Tomography". 2023.
    10.1109/embc40787.2023.10340695
  7. A. Reyna, "Matthew; Kiarashinejad, Yashar; Elola, Andoni; Oliveira, Jorge; Renna, Francesco; Gu, Annie; Sadr, Nadi; et al. "Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022". 2022.
    10.22489/cinc.2022.109
  8. Gaudio, "Alex; Coimbra, Miguel; Campilho, Aurélio; Smailagic, Asim; Emil Schmidt, Samuel; Renna", Francesco. "Explainable Deep Learning for Non-Invasive Detection of Pulmonary Artery Hypertension from Heart Sounds". 2022.
    10.22489/cinc.2022.295
  9. Lopes, Ines; Silva, Augusto; Coimbra, Miguel; Dinis-Ribeiro, Mario; Libanio, Diogo; Renna, Francesco. "Supervised and semi-supervised training of deep convolutional neural networks for gastric landmark detection". 2022.
    10.1109/embc48229.2022.9870992
  10. Lima, Gabriel; Coimbra, Miguel; Dinis-Ribeiro, Mario; Libanio, Diogo; Renna, Francesco. "Analysis of classification tradeoff in deep learning for gastric cancer detection". 2022.
    10.1109/embc48229.2022.9871040
  11. Renna, Francesco; Plumbley, Mark D; Coimbra, Miguel. "Source Separation of the Second Heart Sound via Alternating Optimization". 2021.
    10.23919/cinc53138.2021.9662814
  12. Renna, Francesco; Martins, Miguel L.; Coimbra, Miguel. "Joint Training of Hidden Markov Model and Neural Network for Heart Sound Segmentation". 2021.
    10.23919/cinc53138.2021.9662891
  13. Oliveira, Jorge; Nogueira, Diogo; Renna, Francesco; Ferreira, Carlos; Jorge, Alipio M.; Coimbra, Miguel. "Do we really need a segmentation step in heart sound classification algorithms?". 2021.
    10.1109/embc46164.2021.9630559
  14. Reisinho, Jose; Coimbra, Miguel; Renna, Francesco. "Deep Convolutional Neural Network Ensembles For Multi-Classification of Skin Lesions From Dermoscopic and Clinical Images". 2020.
    10.1109/embc44109.2020.9176411
  15. Renna, Francesco; Coimbra, Miguel. "Source Separation of the Second Heart Sound Using Gaussian Mixture Models". Paper presented in 2019 Computing in Cardiology (CinC), 2019.
    10.22489/cinc.2019.236
  16. Oliveira, Jorge; Nogueira, Marcelo; Ramos, Cleber; Renna, Francesco; Ferreira, Carlos; Coimbra, Miguel. "Using Soft Attention Mechanisms to Classify Heart Sounds". 2019.
    10.1109/embc.2019.8856748
  17. Renna, Francesco; Illanes, Alfredo; Oliveira, Jorge; Esmaeili, Nazila; Friebe, Michael; Coimbra, Miguel T.. "Assessment of Sound Features for Needle Perforation Event Detection". 2019.
    10.1109/embc.2019.8857098
  18. Sabetsarvestani, Zahra; Renna, Francesco; Kiraly, Franz; Rodrigues, Miguel R. D.. "SOURCE SEPARATION IN THE PRESENCE OF SIDE INFORMATION: NECESSARY AND SUFFICIENT CONDITIONS FOR RELIABLE DE-MIXING". 2018.
    10.1109/globalsip.2018.8646499
  19. Renna, Francesco; Oliveira, Jorge; Coimbra, Miguel T.. "Convolutional Neural Networks for Heart Sound Segmentation". 2018.
    10.23919/eusipco.2018.8553120
  20. Oliveira, Jorge; Mantadelis, Theofrastos; Renna, Francesco; Gomes, Pedro; Coimbra, Miguel. "On modifying the temporal modeling of HSMMs for pediatric heart sound segmentation". 2017.
    10.1109/sips.2017.8110004
  21. Renna, Francesco; Oliveira, Jorge; Coimbra, Miguel. "A Data-Driven Feature Extraction Method for Enhanced Phonocardiogram Segmentation". 2017.
    10.22489/cinc.2017.183-281
  22. Chen, Meng-Yang; Renna, Francesco; Rodrigues, Miguel R. D.. "On the design of linear projections for compressive sensing with side information". 2016.
    10.1109/isit.2016.7541383
  23. Renna, Francesco; Doyle, Joseph; Giotsas, Vasileios; Andreopoulos, Yiannis. "Query Processing for the Internet-of-Things: Coupling of Device Energy Consumption and Cloud Infrastructure Billing". 2016.
    10.1109/iotdi.2015.37
  24. Wang, Liming; Renna, Francesco; Yuan, Xin; Rodrigues, Miguel; Calderbank, Robert; Carin, Lawrence. "A general framework for reconstruction and classification from compressive measurements with side information". 2016.
    10.1109/icassp.2016.7472476
  25. Chen, Meng-Yang; Renna, Francesco; Rodrigues, Miguel R. D.. "Signal reconstruction in the presence of side information: The impact of projection kernel design". 2016.
    10.1109/icassp.2016.7472552
  26. Renna, Francesco; Wang, Liming; Yuan, Xin; Yang, Jianbo; Reeves, Galen; Calderbank, Robert; Carin, Lawrence; Rodrigues, Miguel R. D.. "Classification and reconstruction of compressed GMM signals with side information". 2015.
    10.1109/isit.2015.7282604
  27. Sokolic, Jure; Renna, Francesco; Calderbank, Robert; Rodrigues, Miguel R. D.. "Mismatch in the classification of linear subspaces: Upper bound to the probability of error". 2015.
    10.1109/isit.2015.7282846
  28. Laurenti, N.; Tomasin, S.; Renna, F.. "Resource allocation for secret transmissions on parallel Rayleigh channels". 2014.
    10.1109/icc.2014.6883651
  29. Renna, Francesco; Laurenti, Nicola; Tomasin, Stefano. "Achievable secrecy rates over MIMOME Gaussian channels with GMM signals in low-noise regime". 2014.
    10.1109/vitae.2014.6934464
  30. Reboredo, Hugo; Renna, Francesco; Calderbank, Robert; Rodrigues, Miguel R. D.. "Projections designs for compressive classification". 2013.
    10.1109/globalsip.2013.6737069
  31. Renna, Francesco; Calderbank, Robert; Carin, Lawrence; Rodrigues, Miguel R. D.. "Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view". 2013.
    10.1109/globalsip.2013.6736965
  32. Ara, Munnujahan; Reboredo, Hugo; Renna, Francesco; Rodrigues, Miguel R. D.. "Power allocation strategies for OFDM Gaussian wiretap channels with a friendly jammer". 2013.
    10.1109/icc.2013.6655076
  33. Reboredo, Hugo; Renna, Francesco; Calderbank, Robert; Rodrigues, Miguel R. D.. "Compressive classification". 2013.
    10.1109/isit.2013.6620311
  34. Renna, Francesco; Rodrigues, Miguel R. D.; Chen, Minhua; Calderbank, Robert; Carin, Lawrence. "Compressive sensing for incoherent imaging systems with optical constraints". 2013.
    10.1109/icassp.2013.6638712
  35. Renna, Francesco; Laurenti, Nicola; Tomasin, Stefano; Baldi, Marco; Maturo, Nicola; Bianchi, Marco; Chiaraluce, Franco; Bloch, Matthieu. "Low-power secret-key agreement over OFDM". 2013.
    10.1145/2463183.2463194
  36. Canale, M.; Bacco, D.; Calimani, S.; Renna, F.; Laurenti, N.; Vallone, G.; Villoresi, P.. "A prototype of a free-space QKD scheme based on the B92 protocol". 2011.
    10.1145/2093698.2093884
  37. Renna, Francesco; Bloch, Matthieu; Laurenti, Nicola. "Semi-Blind Key-Agreement over MIMO Fading Channels". 2011.
    10.1109/icc.2011.5963438
  38. Renna, Francesco; Laurenti, Nicola; Poor, H. Vincent. "Achievable secrecy rates for wiretap OFDM with QAM constellations". 2011.
    10.4108/icst.valuetools.2011.245791
  39. Renna, Francesco; Laurenti, Nicola; Poor, H. Vincent. "High SNR secrecy rates with OFDM signaling over fading channels". 2010.
    10.1109/pimrc.2010.5671796
  40. Renna, Francesco; Laurenti, Nicola; Poor, H. Vincent. "Physical layer secrecy for OFDM systems". 2010.
    10.1109/ew.2010.5483477
  41. Erseghe, Tomaso; Renna, Francesco. "On Schmidl-Cox-like frequency estimation applied to UWB Impulse Radio systems". 2009.
    10.1109/icuwb.2009.5288700
  42. Renna, Francesco; Laurenti, Nicola; Erseghe, Tomaso. "Time synchronization for OFDM systems in very dispersive channels". 2009.
    10.1109/icuwb.2009.5288679
  43. Laurenti, Nicola; Renna, Francesco. "Estimation of carrier and sampling frequency offset for Ultra Wide Band multiband OFDM systems". 2008.
    10.1109/icuwb.2008.4653349
  44. Renna, Francesco; Marsili, Stefano. "A tool for the fast distortion evaluation of non linear amplifiers in broadband transmission systems". 2008.
    10.1109/iscas.2008.4541718
Journal article
  1. Renna, Francesco; Gaudio, Alex; Mattos, Sandra; Plumbley, Mark D.; Coimbra, Miguel Tavares. "Separation of the Aortic and Pulmonary Components of the Second Heart Sound via Alternating Optimization". IEEE Access 12 (2024): 34632-34643. http://dx.doi.org/10.1109/access.2024.3371510.
    10.1109/access.2024.3371510
  2. Martins, Miguel L.; Coimbra, Miguel T.; Renna, Francesco. "Markov-Based Neural Networks for Heart Sound Segmentation: Using Domain Knowledge in a Principled Way". IEEE Journal of Biomedical and Health Informatics 27 11 (2023): 5357-5368. http://dx.doi.org/10.1109/jbhi.2023.3312597.
    10.1109/jbhi.2023.3312597
  3. Reyna, Matthew A.; Kiarashi, Yashar; Elola, Andoni; Oliveira, Jorge; Renna, Francesco; Gu, Annie; Perez Alday, Erick A.; et al. "Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022". PLOS Digital Health 2 9 (2023): e0000324. http://dx.doi.org/10.1371/journal.pdig.0000324.
    10.1371/journal.pdig.0000324
  4. Elola, Andoni; Aramendi, Elisabete; Oliveira, Jorge; Renna, Francesco; Coimbra, Miguel T.; Reyna, Matthew A.; Sameni, Reza; Clifford, Gari D.; Rad, Ali Bahrami. "Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram". IEEE Journal of Biomedical and Health Informatics 27 8 (2023): 3856-3866. http://dx.doi.org/10.1109/jbhi.2023.3275039.
    10.1109/jbhi.2023.3275039
  5. Pedrosa, J; Silva, R; Santos, C; Nunes, F; Mancio, J; Renna, F; Fontes-Carvalho, R. "Evaluation of automatic pericardial segmentation methods in computed tomography images". European Heart Journal - Cardiovascular Imaging 24 Supplement (2023): http://dx.doi.org/10.1093/ehjci/jead119.210.
    10.1093/ehjci/jead119.210
  6. Cardoso, Ana Sofia; Bryukhova, Sofiya; Renna, Francesco; Reino, Luís; Xu, Chi; Xiao, Zixiang; Correia, Ricardo; et al. "Detecting wildlife trafficking in images from online platforms: A test case using deep learning with pangolin images". Biological Conservation 279 (2023): 109905. http://dx.doi.org/10.1016/j.biocon.2023.109905.
    10.1016/j.biocon.2023.109905
  7. Renna, Francesco; Martins, Miguel; Neto, Alexandre; Cunha, António; Libânio, Diogo; Dinis-Ribeiro, Mário; Coimbra, Miguel. "Artificial Intelligence for Upper Gastrointestinal Endoscopy: A Roadmap from Technology Development to Clinical Practice". Diagnostics 12 5 (2022): 1278. http://dx.doi.org/10.3390/diagnostics12051278.
    10.3390/diagnostics12051278
  8. Cardoso, Ana Sofia; Renna, Francesco; Moreno-Llorca, Ricardo; Alcaraz-Segura, Domingo; Tabik, Siham; Ladle, Richard J.; Vaz, Ana Sofia. "Classifying the content of social media images to support cultural ecosystem service assessments using deep learning models". Ecosystem Services 54 (2022): 101410. http://dx.doi.org/10.1016/j.ecoser.2022.101410.
    Published • 10.1016/j.ecoser.2022.101410
  9. Oliveira, Jorge Henrique; Renna, Francesco; Costa, Paulo; Nogueira, Diogo; Oliveira, Cristina; Ferreira, Carlos; Jorge, Alipio; et al. "The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification". IEEE Journal of Biomedical and Health Informatics (2021): 1-1. http://dx.doi.org/10.1109/jbhi.2021.3137048.
    10.1109/jbhi.2021.3137048
  10. Arribas, Julia; Antonelli, Giulio; Frazzoni, Leonardo; Fuccio, Lorenzo; Ebigbo, Alanna; van der Sommen, Fons; Ghatwary, Noha; et al. "Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis". Gut (2020): gutjnl-2020. http://dx.doi.org/10.1136/gutjnl-2020-321922.
    Published • 10.1136/gutjnl-2020-321922
  11. Ferreira, André C.; Silva, Liliana R.; Renna, Francesco; Brandl, Hanja B.; Renoult, Julien P.; Farine, Damien R.; Covas, Rita; Doutrelant, Claire. "Deep learning-based methods for individual recognition in small birds". Methods in Ecology and Evolution 11 9 (2020): 1072-1085. http://dx.doi.org/10.1111/2041-210x.13436.
    Published • 10.1111/2041-210x.13436
  12. Antun, Vegard; Renna, Francesco; Poon, Clarice; Adcock, Ben; Hansen, Anders C.. "On instabilities of deep learning in image reconstruction and the potential costs of AI". Proceedings of the National Academy of Sciences (2020): 201907377. http://dx.doi.org/10.1073/pnas.1907377117.
    Published • 10.1073/pnas.1907377117
  13. Zamani, Majid; Sokolic, Jure; Jiang, Dai; Renna, Francesco; Rodrigues, Miguel; Demosthenous, Andreas. "Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning". IEEE Transactions on Biomedical Circuits and Systems (2020): 1-1. http://dx.doi.org/10.1109/tbcas.2020.2969910.
    10.1109/tbcas.2020.2969910
  14. Sabetsarvestani, Zahra; Renna, Francesco; Kiraly, Franz; Rodrigues, Miguel. "Source Separation With Side Information Based on Gaussian Mixture Models With Application in Art Investigation". IEEE Transactions on Signal Processing 68 (2020): 558-572. http://dx.doi.org/10.1109/tsp.2020.2964195.
    10.1109/tsp.2020.2964195
  15. Renna, Francesco; Oliveira, Jorge; Coimbra, Miguel T.. "Deep Convolutional Neural Networks for Heart Sound Segmentation". IEEE Journal of Biomedical and Health Informatics 23 6 (2019): 2435-2445. http://dx.doi.org/10.1109/jbhi.2019.2894222.
    10.1109/jbhi.2019.2894222
  16. Oliveira, Jorge; Renna, Francesco; Coimbra, Miguel. "A Subject-Driven Unsupervised Hidden Semi-Markov Model and Gaussian Mixture Model for Heart Sound Segmentation". IEEE Journal of Selected Topics in Signal Processing 13 2 (2019): 323-331. http://dx.doi.org/10.1109/jstsp.2019.2908723.
    10.1109/jstsp.2019.2908723
  17. Gataric, Milana; Gordon, George S. D.; Renna, Francesco; Ramos, Alberto Gil C. P.; Alcolea, Maria P.; Bohndiek, Sarah E.. "Reconstruction of Optical Vector-Fields With Applications in Endoscopic Imaging". IEEE Transactions on Medical Imaging 38 4 (2019): 955-967. http://dx.doi.org/10.1109/tmi.2018.2875875.
    10.1109/tmi.2018.2875875
  18. Oliveira, Jorge; Renna, Francesco; Mantadelis, Theofrastos; Coimbra, Miguel. "Adaptive Sojourn Time HSMM for Heart Sound Segmentation". IEEE Journal of Biomedical and Health Informatics 23 2 (2019): 642-649. http://dx.doi.org/10.1109/jbhi.2018.2841197.
    10.1109/jbhi.2018.2841197
  19. Chen, Meng-Yang; Renna, Francesco; Rodrigues, Miguel R. D.. "Compressive Sensing With Side Information: How to Optimally Capture This Extra Information for GMM Signals?". IEEE Transactions on Signal Processing 66 9 (2018): 2314-2329. http://dx.doi.org/10.1109/tsp.2018.2807411.
    10.1109/tsp.2018.2807411
  20. Renna, Francesco; Doyle, Joseph; Giotsas, Vasileios; Andreopoulos, Yiannis. "Media Query Processing for the Internet-of-Things: Coupling of Device Energy Consumption and Cloud Infrastructure Billing". IEEE Transactions on Multimedia 18 12 (2016): 2537-2552. http://dx.doi.org/10.1109/tmm.2016.2600438.
    10.1109/tmm.2016.2600438
  21. Reboredo, Hugo; Renna, Francesco; Calderbank, Robert; Rodrigues, Miguel R. D.. "Bounds on the Number of Measurements for Reliable Compressive Classification". IEEE Transactions on Signal Processing 64 22 (2016): 5778-5793. http://dx.doi.org/10.1109/tsp.2016.2599496.
    10.1109/tsp.2016.2599496
  22. Renna, Francesco; Wang, Liming; Yuan, Xin; Yang, Jianbo; Reeves, Galen; Calderbank, Robert; Carin, Lawrence; Rodrigues, Miguel R. D.. "Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information". IEEE Transactions on Information Theory 62 11 (2016): 6459-6492. http://dx.doi.org/10.1109/tit.2016.2606646.
    10.1109/tit.2016.2606646
  23. Sokolic, Jure; Renna, Francesco; Calderbank, Robert; Rodrigues, Miguel R. D.. "Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification". IEEE Transactions on Signal Processing 64 12 (2016): 3035-3050. http://dx.doi.org/10.1109/tsp.2016.2537272.
    10.1109/tsp.2016.2537272
  24. Baldi, Marco; Chiaraluce, Franco; Laurenti, Nicola; Tomasin, Stefano; Renna, Francesco. "Secrecy Transmission on Parallel Channels: Theoretical Limits and Performance of Practical Codes". IEEE Transactions on Information Forensics and Security 9 11 (2014): 1765-1779. http://dx.doi.org/10.1109/tifs.2014.2348915.
    10.1109/tifs.2014.2348915
  25. Renna, Francesco; Calderbank, Robert; Carin, Lawrence; Rodrigues, Miguel R. D.. "Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements". IEEE Transactions on Signal Processing 62 9 (2014): 2265-2277. http://dx.doi.org/10.1109/tsp.2014.2309560.
    10.1109/tsp.2014.2309560
  26. Renna, Francesco; Bloch, Matthieu R.; Laurenti, Nicola. "Semi-Blind Key-Agreement over MIMO Fading Channels". IEEE Transactions on Communications 61 2 (2013): 620-627. http://dx.doi.org/10.1109/tcomm.2012.102512.120084.
    10.1109/tcomm.2012.102512.120084
  27. Renna, Francesco; Laurenti, Nicola; Poor, H. Vincent. "Physical-Layer Secrecy for OFDM Transmissions Over Fading Channels". IEEE Transactions on Information Forensics and Security 7 4 (2012): 1354-1367. http://dx.doi.org/10.1109/tifs.2012.2195491.
    10.1109/tifs.2012.2195491
  28. Renna, F.; Marsili, S.. "A Gaussian Approximation of High-Order Distortion Spectrum in Broadband Amplifiers". IEEE Transactions on Circuits and Systems II: Express Briefs 55 7 (2008): 700-704. http://dx.doi.org/10.1109/tcsii.2008.921583.
    10.1109/tcsii.2008.921583
Online resource
  1. Cardoso, Ana; Renna, Francesco. Deep learning for cultural ecosystem services. 2021. https://github.com/anasccardoso/Deep-learning-for-cultural-ecosystem-services.

Intellectual property

Patent
  1. Gaudio, Alex; Renna, Francesco; Emil Schmidt, Samuel; Coimbra, Miguel T.. 2024. "EXPLAINABLE DEEP LEARNING METHOD FOR NON-INVASIVE DETECTION OF PULMONARY HYPER- TENSION FROM HEART SOUNDS".

Other

Dataset
  1. The CirCor DigiScope Phonocardiogram Dataset.
    https://doi.org/10.13026/cy60-yn18
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2024/02 AI Challenges in heart sound processing for cardiac diagnosis AI METHODS for BIOENGINEERING CHALLENGES
Politecnico di Milano
2023/09 Artificial intelligence in cardiovascular healthcare: Importance and limitations – The case of cardiac auscultation XV Encontro Coração e Família
Fundação Portuguesa de Cardiologia
2022/11 Recent challenges in cardiovascular disease screening via digital auscultation EAI International Conference on Smart Object and Technologies for Social Good (GoodTechs)
2022/02 AI challenges in biomedical image reconstruction AI Methods for Bioengineering challenges
Politecnico di Milano (Milano, Italy)
2021/01 Deep learning for image reconstruction XXV International School of Pure and Applied Biophysics on quantitative analysis of optical imaging for Medicine and Biophysics: Foundations, applications and perspectives
Università di Milano-Bicocca (Milano, Italy)
2019/12 Introduction to deep learning and convolutional neural networks Invited class, Data Mining I
Universidade do Porto, Faculdade de Ciências
2019/11 Introduction to deep learning and convolutional neural networks Invited class, Computer VIsion
Universidade do Porto Faculdade de Ciências
2019/11 Deep learning for biomedical engineering: Fundamentals and some successful applications Seminários em Engenharia Biomédica
Universidade do Porto Faculdade de Engenharia
2018/11 Introduction to deep learning and convolutional neural networks Invited class, Computer Vision
Universidade do Porto Faculdade de Ciências
2018/11 Tudo o que alguma vez quis saber sobre Deep Learning mas teve medo de perguntar Ciclo de Palestras em Informática Médica
Universidade do Porto Faculdade de Ciências
2018/03 Cardiac Auscultation Challenges in the Digital Era Global Medical Engineering Physics Exchange (GMPE) Conference 2018 (Plenary Session)
2018/03 Data-Driven Segmentation for Heart Sound Analysis International Meeting of Medical Technology and Healthcare Business
Politécnico do Porto
2017/06 A Data-Driven Feature Extraction Method for Enhanced Phonocardiogram Segmentation Summer School 2017: Biomedical Signal Processing
Universidade do Porto Faculdade de Medicina
2017/03 Can we screen 40k children per year using DigiScope? Jornadas de Engenharia Eletrotécnica
Instituto Politécnico de Leiria
2016/06 Bayesian compressed sensing of GMM signals Invited Class, Compressed Sensing
University of Cambridge, Department of Applied Mathematics and Theoretical Physics
2013/03 Fundamental limits in compressive sensing of GMM sources
Università degli Studi di Padova
2011/05 The jamming game in an OFDM environment
Georgia Institute of Technology, (Georgia Tech Lorraine campus)
2010/09 Semi-blind key agreement over MIMO fading channels Newcom++/GDR ISIS Physical Layer Security Workshop

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2024/01 - Current Uncertainty Quantification in Semantic Segmentation
Co-supervisor
Universidade do Porto, Portugal
2023 - Current Non-invasive assessment of cardiac function from synchronous heart sounds and electrocardiogram signals
Supervisor
Universidade do Porto, Portugal
2022/03 - Current Semi-supervised deep learning for anatomical landmark detection in upper endoscopy
Supervisor
2022/01 - Current Listening for wolf conservation: Deep learning for automated howl recognition and classification
Co-supervisor
2022 - Current Low-dose contrast CT reconstruction with side information
Supervisor
Universidade do Porto, Portugal
2022 - Current Deep learning for heart sound and electrocardiogram signal analysis: On the impact of multimodal data for explainable AI
Supervisor
Universidade do Porto, Portugal
2021 - Current Hybrid Deep Learning Models for Anatomical Landmark Detection in Endoscopy
Supervisor
2022 - 2023 Novel deep learning methods for characterization of precancerous tissue in endoscopic narrow-band images
Supervisor
Universidade do Porto, Portugal
2021 - 2023 Multimodal deep learning for heart sound/electrocardiogram classification
Supervisor
Universidade do Porto, Portugal
2021 - 2022 Automatic contrast generation from contrastless CTs
Supervisor
Universidade do Porto, Portugal
2020 - 2022 Construction of a three-dimensional segmentation algorithm from images obtained by computerized axial tomography
Supervisor
Universidade do Porto, Portugal
2020 - 2021 The dark side of e-commerce: Tracking illegal trade of pangolin species on social media
Co-supervisor
Universidade do Porto Faculdade de Ciências, Portugal
2020 - 2021 Deep learning for gastric cancer detection
Supervisor
Universidade do Porto Faculdade de Ciências, Portugal
2020 - 2021 Deep convolutional neural network for gastric landmark detection
Co-supervisor
Universidade de Aveiro, Portugal
2019 - 2020 Creation of machine learning algorithms for tissue identification in hysteroscopies
Co-supervisor
Universidade do Porto Departamento de Ciência de Computadores, Portugal
2019 - 2020 Deep learning for cultural eco-system services
Co-supervisor
Universidade do Porto Faculdade de Ciências, Portugal
2019 - 2020 Deep Learning para desenvolvimento de um sistema capaz detetar a presença de Parkinson
Supervisor
Universidade do Porto, Portugal
2018 - 2019 Medical images analysis using deep learning - A skin cancer screening system
Supervisor
Universidade do Porto Faculdade de Ciências, Portugal

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2024/06 - Current The 14th ACM Conference on Data and Application Security and Privacy. June 19 – 21, 2024. Porto, Portugal. Proceedings Chair. (2024/06)
Conference (Member of the Organising Committee)
2023/11 - Current EAI MobiHealth 2023, EAI International Conference on Wireless Mobile Communication and Healthcare, Vila Real, Portugal, 29 - 30 de novembro de 2023. Technical Program Committee Co-Chair. (2023/11)
Conference (Member of the Organising Committee)
2022/12 - Current EAI MobiHealth 2022, EAI International Conference on Wireless Mobile Communication and Healthcare, Vila Real, Portugal, 30 de novembro – 2 de dezembro de 2022. Technical Program Committee Co-Chair. (2022/12)
Conference (Member of the Organising Committee)
2022/09 - Current CinC 2022, Computing in Cardiology, Tampere, Finland, 4-7 de setembro de 2022. Chair of the special session “Non-invasive blood pressure monitoring”. (2022/09)
Conference (Other)
2019/10/31 - 2019/10/31 Member of the organizing committee of RecPad 2019, 25th Portuguese Conference on Pattern Recognition (2019/10/31 - 2019/10/31)
Conference (Member of the Organising Committee)
 Universidade do Porto, Portugal

Jury of academic degree

Topic
Role 		Candidate name (Type of degree)
Institution / Organization
2024/03/01 Multimodal Cervical Cancer Diagnosis: Deep Learning for Automatic Decision Support
(Thesis) Arguer
 Tomé Mendes Albuquerque (PhD)
Universidade do Porto Faculdade de Engenharia, Portugal
2023/09 A wearable multi-sensor array for the home prevention of acute heart failure: From conceptualization to pre-clinical validation
(Thesis) Arguer
 Noemi Giordano (PhD)
Politecnico di Torino, Italy

Università degli Studi di Torino, Italy
2023/07 Explainable Deep Machine Learning for Medical Image Analysis
(Thesis) Arguer
 Alex Gaudio (PhD)
Carnegie Mellon University, United States

Universidade do Porto, Portugal
2022/06 Machine Learning Models for Predicting Disease-related Biological Interactions
(Thesis) Arguer
 Iván Marcelo Carrera Izurieta (PhD)
Universidade do Porto, Portugal
2021/12/21 Compressed Sensing and Deep Learning - Investigation of stability properties for linear inverse problems
(Thesis) Main arguer
 Andras Filip Plaian (Master)
Universitetet i Oslo Matematisk Institutt, Norway
2021/12/20 On Recent Advances in Compressive Sensing
(Thesis) Main arguer
 Teah Kaasa McLean (Master)
Universitetet i Oslo Matematisk Institutt, Norway
2021/07/13 Multi-Modal/Tasking for Skin Lesion Classification using DNN
(Thesis) Main arguer
 Rafaela Garrido Ribeiro de Carvalho (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2021/07/13 Learning Representations and Generative Models for 3D Breast Data
(Thesis) Main arguer
 Maria de Fátima da Silva Barros (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2021/01/26 Can everything be learned? Recovery of highly sparse images using deep neural networks
(Thesis) Main arguer
 Jon Audun Baar (Master)
Universitetet i Oslo Matematisk Institutt, Norway
2019/12/10 Processing technical drawings using deep learning
(Thesis) Main arguer
 Norberto Carlos Saraiva Martins (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2019/10/02 GaitGate – Towards a multiscenario clinical gait characterization system for neurological diseases
(Thesis) Main arguer
 Joana Catarina Moreira Rodrigues (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2019/07/12 Man-machine symbiosis: EEG and other biosignals man-machine interaction
(Thesis) Main arguer
 Vitor Daniel Veigas Minhoto (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2019/06/12 Stability of Adaptive Neural Networks for Image Reconstruction
(Thesis) Main arguer
 Kristian Monsen Haug (Master)
Universitetet i Oslo Matematisk Institutt, Norway
2019/06/11 Parseval Reconstruction Networks - Improving Robustness of Deep Learning Based MRI Reconstruction Towards Adversarial Attacks
(Thesis) Main arguer
 Mathias Lohnes (Master)
Universitetet i Oslo Matematisk Institutt, Norway

Committee member

Activity description
Role 		Institution / Organization
2022/01 - Current EURASIP Technical Area Committee on Signal and Data Analytics for Machine Learning
Member
 European Association for Signal Processing, Belgium

Conference scientific committee

Conference name Conference host
2023/09 - Current EUSIPCO 2023, European Signal Processing Conference
2023/05 - Current IEEE ICC 2023, IEEE International Conference on Communications,¿Wireless Communications Symposium
2023/02 - Current IbPRIA 2023, Iberian Conference on Pattern Recognition and Image Analysis
2024/08/26 - 2024/08/30 EUSIPCO 2024, European Signal Processing Conference
2024/06/25 - 2024/06/27 MELECON - Mediterranean Electrotechnical Conference
2023/10/01 - 2023/10/04 CinC - Computing in Cardiology
2022/06 - 2022/06 IEEE ICC 2022, IEEE International Conference on Communications,¿ Wireless Communications Symposium
2021/11 - 2021/11 ACM MSWiM 2021, ACM International Conference on Modeling, Analysis and Simulations of Wireless and Mobile Systems
2021/06 - 2021/06 IEEE ICC 2021, IEEE International Conference on Communications,¿ Wireless Communications Symposium
2021/03 - 2021/03 IEEE WCNC 2021, IEEE Wireless Communications and Networking Conference
2020/12 - 2020/12 IEEE GLOBECOM 2020, IEEE Global Communications Conference, Symposium on Next Generation Networking and Internet,
2020/06 - 2020/06 ICIAR 2020, International Conference on Image Analysis and Recognition
2020/06 - 2020/06 IEEE ICC 2020, IEEE International Conference on Communications, Wireless Communications Symposium
2019/11 - 2019/11 ACM MSWiM 2019, ACM International Conference on Modeling, Analysis and Simulations of Wireless and Mobile Systems
2019/05 - 2019/05 IEEE ICC 2019, IEEE International Conference on Communications, Wireless Communications Symposium
2019/04 - 2019/04 ICT 2019, International Conference on Telecommunications
2019/04 - 2019/04 IEEE WCNC 2019, IEEE Wireless Communications and Networking Conference
2018/12 - 2018/12 IEEE GLOBECOM 2018, IEEE Global Communications Conference, Symposium on Next Generation Networking and Internet
2018/11 - 2018/11 ACM MSWiM 2018, ACM International Conference on Modeling, Analysis and Simulations of Wireless and Mobile Systems
2018/09 - 2018/09 EUSIPCO 2018, European Signal Processing Conference, special session on Understanding and Design of Deep Neural Networks
2018/06 - 2018/06 IEEE CBMS 2018, IEEE International Symposium on Computer-Based Medical Systems
2018/05 - 2018/05 IEEE ICC 2018, IEEE International Conference on Communications, Wireless Communications Symposium
2017/12 - 2017/12 IEEE GLOBECOM 2017, IEEE Global Communications Conference, track on Next Generation Networking and Internet
2017/12 - 2017/12 IEEE GLOBECOM 2017, IEEE Global Communications Conference, Workshop on Low Power Wide area networking technologies for emerging Internet of Things
2017/12 - 2017/12 IEEE GLOBECOM 2017, IEEE Global Communications Conference, Workshop on Trusted Communications with Physical Layer Security
2017/12 - 2017/12 IEEE GLOBECOM 2017, IEEE Global Communications Conference, Workshop on Next Generation Networking and Internet
2017/11 - 2017/11 ACM MSWiM 2017, ACM International Conference on Modeling, Analysis and Simulations of Wireless and Mobile Systems
2017/05 - 2017/05 ICT 2017, International Conference on Telecommunications
2017/05 - 2017/05 IEEE INFOCOM 2017, IEEE International Conference on Computer Communications, Workshop on Communication and Networking Techniques for Contemporary Video
2016/12 - 2016/12 IEEE GLOBECOM 2016, IEEE Global Communications Conference, Workshop on Trusted Communications with Physical Layer Security
2016/05 - 2016/05 IEEE ICC 2016, IEEE International Conference on Communications, Workshop on Wireless Physical Layer Security
2016/05 - 2016/05 ICT 2016, International Conference on Telecommunications, special session on big data analytics driven by Internet-of-Things technologies: Big things have small beginnings
2015/12 - 2015/12 IEEE GLOBECOM 2015, IEEE Global Communications Conference, Workshop on Trusted Communications with Physical Layer Security
2015/12 - 2015/12 IEEE GLOBECOM 2015, IEEE Global Communications Conference, Communication QoS, Reliability and Modeling
2015/06 - 2015/06 IEEE ICC 2015, IEEE International Conference on Communications, Workshop on Wireless Physical Layer Security
2015/06 - 2015/06 IEEE ICC 2015, IEEE International Conference on Communications,¿Wireless Communications Symposium
2015/05 - 2015/05 IEEE INFOCOM 2015, IEEE International Conference on Computer Communications, Workshop on Communication and Networking Techniques for Contemporary Video
2014/09 - 2014/09 WCS 2014, Workshop on Communication Security
2014/06 - 2014/06 IEEE ICC 2014, IEEE International Conference on Communications, Workshop on Wireless Physical Layer Security
2011/05 - 2011/05 VALUETOOLS 2011, International ICST Conference on Performance Evaluation Methodologies and Tools, Workshop on Secure Wireless Networks

Journal scientific committee

Journal title (ISSN) Publisher
2022/01 - 2023/02 MDPI Mathematics (2227-7390)
2021/02 - 2023/02 MDPI Sensors (1424-8220)

Other jury / evaluation

Activity description Institution / Organization
2023 - Current Portuguese Association of Pattern Recognition. Best MSc Thesis Award. Member of the jury.
2022 - Current Portuguese Association of Pattern Recognition. Best MSc thesis award. Member of the jury.
2021 - Current IEEE Portuguese Chapter. IEEE Outstanding MSc Thesis Award 2021. Member of the jury.
2020/11 - 2020/11 IEEE Portuguese Chapter. IEEE Outstanding MSc Thesis Award 2020. Member of the jury.
2020/10 - 2020/10 Portuguese Association of Pattern Recognition. Best MSc Thesis Award. Member of the jury.
Distinctions

Award

2021 Bill and Gary Sanders Best Poster Award
2017 Exemplary Reviewer Award - IEEE Communications Letters
IEEE Communications Society, United States
2016 Exemplary Reviewer Award - IEEE Communications Letters
IEEE, United States
2015 Exemplary Reviewer Award - IEEE Communications Letters
IEEE, United States
2014 Exemplary Reviewer Award - IEEE Communications Letters
IEEE, United States

Title

2019 IEEE Senior Member
IEEE, United States

Other distinction

2017 Auxiliary Researcher Contract within the FCT Scientific Employment Stimulus program
Fundação para a Ciência e a Tecnologia, Portugal
2015 Marie Sklodowska-Curie Individual Fellowship
European Commission, Belgium