Creating and sharing knowledge for telecommunications
... Francesco Renna

Researcher

Francesco Renna

Academic position: Researcher
Joining date: 15-01-2012
Roles in IT: Researcher
Scientific Area: Networks and Multimedia
Group: Networked Systems – Po

Email: Send Email
Address: IT Branch – Porto
Rua Dr Roberto Frias
Porto
4200-465
Tel: 220413243
Fax:


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

Currently running projects1

Acronym Name Funding Agency Start date Ending date
DigiScope2 Digitally Enhanced Stethoscope for Clinical Usage FCT/POCI 01-07-2018 30-06-2021

Closed Projects2

Acronym Name Funding Agency Start date Ending date
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
  • 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