Creating and sharing knowledge for telecommunications
... Francesco Renna

Francesco Renna

Former IT academic position: Researcher
Joining/Leaving IT dates: 15-01-2012 / 15-02-2022
Roles held in IT:
Former IT thematic line: Networks and Services
Group: Networked Systems – Po

Scientific Achievements

  • PhD, Università di Padova, 14-04-2011
  • MSc, Università di Padova, 18-12-2006
  • Licenciatura, Università di Padova, 29-09-2004
  • Physical layer security, MIMO communications, compressive sensing, signal processing
  • IEEE - Institute of Electrical and Electronics Engineers, 27-07-2019,
  • IEEE, 01-01-2008,
Supervision of theses
  • M. Rodrigues, F. Renna, M. Nokleby, A. R. C. Calderbank, Compressive Classification: Where Wireless Communications Meets Machine Learning, Chapter in, Compressed Sensing and its Applications, Springer International Publishing, Heidelberg, 2015
  • J. Oliveira, F. Renna, P. Costa, D. Nogueira, C.O Oliveira, C.F. Ferreira, A. Jorge, S. Mattos, T. Hatem, T. Tavares, A. Elola, A. Rad, R. Sameni, G. Clifford, M. Coimbra, The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification, IEEE Journal of Biomedical and Health Informatics, Vol. X, No. X, pp. 1 - 1, December, 2021 | BibTex
  • J. Arribas, G. Antonelli, L. Frazzoni, L. Fuccio, A. Ebigbo, F. Sommen, N. Ghatwary, C. Palm, M. Coimbra, F. Renna, J. Bergman, P. Sharma, H. Messmann, C. Hassan, M. Dinis-Ribeiro Ribeiro, Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis, Gut, Vol. XX, No. XX, pp. XX - XX, October, 2020 | Full text (PDF 2 MBs) | BibTex
  • A. Ferreira, L. Silva, F. Renna, H. Brandl, J. Renoult, D. Farine, R. Covas, C. Doutrelant, Deep learning‐based methods for individual recognition in small birds, Methods in Ecology and Evolution, Vol. 00, No. 00, pp. 1 - 14, July, 2020 | Full text (PDF 1 MB) | BibTex
  • Z. S. Sabetsarvestani, F. Renna, F. Kiraly, M. Rodrigues, Source Separation with Side Information Based on Gaussian Mixture Models With Application in Art Investigation, IEEE Transactions on Signal Processing, Vol. X, No. X, pp. 1 - 1, January, 2020 | Full text (PDF 1 MB) | BibTex
  • J. Oliveira, F. Renna, M. Coimbra, A Subject-Driven Unsupervised Hidden Semi-Markov Model and Gaussian Mixture Model for Heart Sound Segmentation, IEEE Journal on Selected Topics in Signal Processing, Vol. 1, No. 1, pp. 1 - 3, March, 2019 | Full text (PDF 336 KBs) | BibTex
  • F. Renna, J. Oliveira, M. Coimbra, Deep Convolutional Neural Networks for Heart Sound Segmentation, IEEE Journal of Biomedical and Health Informatics, Vol. xx, No. xx, pp. 1 - 1, January, 2019 | Full text (PDF 435 KBs) | BibTex
  • M. Gataric, G. S. D. Gordon, F. Renna, A. R. Ramos, M. P. Alcolea, S. Bohndiek, Reconstruction of optical vector-fields with applications in endoscopic imaging, IEEE Transactions on Medical Imaging, Vol. X, No. X, pp. X - X, October, 2018 | Full text (PDF 6 MBs) | BibTex
  • J. Oliveira, F. Renna, T.M Mantadelis, M. Coimbra, Adaptive Sojourn Time HSMM for Heart Sound Segmentation, IEEE Journal of Biomedical and Health Informatics, Vol. 1, No. 1, pp. 1 - 2, June, 2018,
    | Abstract
    | Full text (PDF 342 KBs) | BibTex
  • MR Baldi, F. Chiaraluce, N. Laurenti Laurenti, S. T. Tomasin, F. Renna, Secrecy transmission on parallel channels: Theoretical limits and performance of practical codes, IEEE Transactions on Information Forensics and Security, Vol. 9, No. 11, pp. 1765 - 1779, November, 2014 | Full text (PDF 1 MB) | BibTex
  • F. Renna, A. R. C. Calderbank, L. Carin, M. Rodrigues, Reconstruction of Signals Drawn from a Gaussian Mixture via Noisy Compressive Measurements, IEEE Transactions on Signal Processing, Vol. 62, No. 9, pp. 2265 - 2277, May, 2014 | Full text (PDF 4 MBs) | BibTex
  • F. Renna, M.Bloch Bloch, N. Laurenti Laurenti, Semi-Blind Key-Agreement over MIMO Fading Channels, IEEE Transactions on Communications, Vol. 61, No. 2, pp. 620 - 627, February, 2013 | BibTex
  • F. Renna, N. Laurenti Laurenti, H. V. Poor Poor, Physical layer secrecy for OFDM transmissions over fading channels, IEEE Transactions on Information Forensics and Security, Vol. 7, No. 4, pp. 1354 - 1367, August, 2012,
    | Abstract
    | Full text (PDF 1 MB) | BibTex

Closed Projects3

Acronym Name Funding Agency Start date Ending date
DigiScope2 Digitally Enhanced Stethoscope for Clinical Usage FCT/POCI 01-07-2018 30-06-2021
NanoSTIMA NanoSTIMA – Macro-to-Nano Human Sensing: Towards Integrated Multimodal Health Monitoring and Analytics Norte2020 - Programa Operacional Regional do Norte 01-07-2015 01-12-2018
SmartHeart Smarter Cardiac Sensing via Integrated Signal Processing IT 01-01-2017 01-03-2018
  • F. Renna, IEEE Communications Letters: Exemplary Reviewer Award, Awarded by the Editor in Chief of the IEEE Communications Letters for review activity of 2017, 01-01-2018
  • F. Renna, IEEE Communications Letters: Exemplary Reviewer Award, Awarded to less than 3% of all reviewers in 2014 of the IEEE Communication Letters., 01-01-2015
  • A. Martins, F. Renna, M. Gotseva, H. Ferreira, M. Coimbra, Deep Learning Algorithms for Tissue Identification in Hysteroscopies, Portugal, 10-2020
  • A. Cardoso, A. Vaz, F. Renna, Deep learning to automate the assessment of cultural ecosystem services from social media data, Portugal, 10-2020
  • J. Resisinho, F. Renna, M. Coimbra, F. Vicente, Benchmarking of deep learning strategies for use in a skin cancer screening system, Portugal, 10-2019
  • F. Renna, M. Coimbra, Separation of the aortic and pulmonary components of the second heart sound using Gaussian mixture models, Portugal, Porto, 10-2019
  • F. Renna, M. Coimbra, DATA-DRIVEN SOURCE SEPARATION OF THE SECOND HEART SOUND, Portugal, Lisboa, 02-2019
  • C. Ramos, F. Renna, M. Coimbra, HEALTHCARE TRANSFORMED: DIAGNOSTICS ANYWHERE WITH LOW-COST, LOW-ENERGY, AND HIGH-PERFORMANCE DEEP LEARNING EMBEDDED SYSTEMS, Portugal, Lisboa, 02-2019
  • J. Reisinho, F. Renna, F. Vicente, Medical image analysis using deep learning - a skin lesion malignancy classification system, Portugal, Lisboa, 02-2019
  • F. Renna, J. Oliveira, M. Coimbra, Generalization performance of convolutional neural networks for heart sound segmentation, Portugal, Coimbra, 10-2018
  • J. Oliveira, F. Renna, T.M Mantadelis, P. G. Gomes, M. Coimbra, On modifying the temporal modeling of HSMMs for pediatric heart sound segmentation, Portugal, 10-2018
  • F. Renna, J. Oliveira, M. Coimbra, Information Discriminant Analysis for Improved Feature Extraction in Heat Sound Segmentation, Portugal, Amadora, 10-2017
  • J. Oliveira, T.M Mantadelis, F. Renna, P. G. Gomes, On modifying the temporal modeling of HSMMs for pediatric heart sound segmentation, France, 10-2017
  • J. Oliveira, F. Renna, M. Coimbra, Using semi-hidden Markov models and Gaussian mixtures for heart sound segmentation, Portugal, Lisboa, 10-2017
  • F. Renna, J. Oliveira, M. Coimbra, A Data-Driven Feature Extraction Method for Enhanced Phonocardiogram Segmentation, France, Rennes, 09-2017
  • IEEE International Conference on Communications - ICC, Technical Programme Committee, 2018
  • IEEE Global Communications Conference - GLOBECOM, Technical Programme Committee, 2017
  • ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems MSWiN, Technical Programme Committee, 2017
  • IEEE International conference on Telecommunications ICT, Technical Programme Committee, 2017
  • IEEE International Conference on Communications - ICC, Technical Programme Committee, 2014