Dr Fabrício de Oliveira Ourique

Profile

Fabrício de Oliveira Ourique is an experienced academic and researcher in Digital Signal Processing (DSP) with a Ph.D. from the University of New Mexico, USA. He currently serves as a lecturer at Queen Mary University of London, where he teaches DSP modules in the Information and Computational Science and Digital Media Technology programmes. Over the course of his career, Fabrício has held several academic positions, including Associate Professor at the Federal University of Santa Catarina, Brazil, where he led research initiatives and supervised numerous Master’s and Ph.D. students. His work spans various areas, including signal acquisition systems, machine learning, and IoT applications

Teaching

QHE5107 Fundamentals of DSP

Research

Research Interests:

Fabrício de Oliveira Ourique’s research initiatives span a diverse range of fields, including Digital Signal Processing (DSP), machine learning, and IoT applications. His work focuses on applying advanced signal processing techniques to real-world problems, such as image watermarking, time series forecasting, and energy monitoring. He has led various research projects, including the development of embedded systems for smart meters, wearable devices for cardiac signal acquisition, and techniques for semi-automatic music transcription.

Publications

T. Crosby, D. Gartner, E. Aspland, F. O. Ourique, P. Harper, E. F. Arruda, and T. England. Resource optimization for cancer pathways with aggregate diagnostic demand: a perishable Inventory approach. IMA Journal of Management Mathematics, dpaa01, 2021

F. Mateus, F. O. Ourique, A. S. Morales, and N. M. da Silva. Implementation of Time series forecasting model to estimate excess deaths in Brazil in 2020. Journal of Health Informatics, 16(1), Jan. 2024.

E.F. Arruda, D.F. Marcelo, and F.O. Ourique. A multi-cluster time aggregation approach for Markov chains. Automatica, 99:382–389, 2019.

• Frigo LB, Cardoso JP, Santos MTS et al. (2025). What Do the Data Reveal About Women and Men in Technology?. 2025 IEEE Global Engineering Education Conference (EDUCON)

  
  

  DOI: 10.1109/educon62633.2025.11016522

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/108231
• Morales AS, Schneider IJC, de Oliveira Ourique F et al. (2024). Internet of Things to enhanced living and care environments for elderly: Applications and challenges. nameOfConference

  
  

  DOI: 10.1016/bs.adcom.2023.10.005

  
  

  QMRO: qmroHref
• Morales AS, de Abreu D´Aquino C, Klaus RBP et al. (publicationYear). Internet of Things experimental platform for real-time water monitoring: a case study of the Araranguá River estuary. nameOfConference

  
  

  DOI: 10.4025/actascitechnol.v45i1.63130

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/108140
• Moro FF, Padilha RO, Frigo LB et al. (publicationYear). The Influence of the Meninas Digitais UFSC Project on the Professional Life of Graduated Girls in Technology Undergraduate Courses. nameOfConference

  
  

  DOI: 10.5753/jis.2022.2846

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/108137
• Morales AS, de Oliveira Ourique F, Morás LD et al. (2022). A Biomarker-Based Model to Assist the Identification of Stress in Health Workers Involved in Coping with COVID-19. nameOfConference

  
  

  DOI: 10.1007/978-3-031-10031-4_22

  
  

  QMRO: qmroHref
• Romancini EMR, Zanon VR, Morales AS et al. (publicationYear). Monitoramento inteligente do consumo de energia elétrica em residências utilizando recursos de IoT. Anais do XIII Computer on the Beach - COTB'22

  
  

  DOI: 10.14210/cotb.v13.p134-141

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/108232
• Morales AS, de Oliveira Ourique F, Morás LD et al. (2022). Exploring Interpretable Machine Learning Methods and Biomarkers to Classifying Occupational Stress of the Health Workers. nameOfConference

  
  

  DOI: 10.1007/978-3-030-97516-6_6

  
  

  QMRO: qmroHref
• Ghedin SCD, Pedroso GJ, C. B. Neto J et al. (publicationYear). Processing of pyrite derived from coal mining waste by density separation technique using lithium heteropolytungstate (LST). nameOfConference

  
  

  DOI: 10.1590/1517-7076-rmat-2022-0169

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/108138
• Zanon VR, Romancicni EMR, de Oliveira Ourique F et al. (publicationYear). Dispositivo com Interface Vestível para a Aquisição, Processamento e Transmissão do Sinal Cardíaco em Exame de Eletrocardiograma. Anais do XXI Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2021)

  
  

  DOI: 10.5753/sbcas.2021.16052

  
  

  QMRO: qmroHref
• Morales AS, Ourique FDO, Cazella SC (2021). A Comprehensive Review on the Challenges for Intelligent Systems Related with Internet of Things for Medical Decision. nameOfConference

  
  

  DOI: 10.1007/978-3-030-70111-6_11

  
  

  QMRO: qmroHref