Skip to main content
Home

User account menu

  • Log in

Main navigation

  • Centre
  • Members
  • Publications
    • Publications
    • Lists of publications
    • Preprints
    • Theses
  • Research Groups
  • News & Events
    • News
    • Meetings
    • Seminars
    • Colloquia
    • Outreach
    • Other
  • Projects
  • CMAT-LABs

Cecília Maria Vasconcelos Costa Castro

Assistant Professor

University of Minho

cecilia@math.uminho.pt
(+351) 253 604348
.
ORCID Ciência ID Scopus

Publications

Bayesian Hierarchical Modeling for Parameter Estimation in Normal Distribution with Aggregated Data

cecilia Castro

Lucas Henriques

Felipe Prata

DOI

Blockchain in clinical trials: Bibliometric and network studies of applications, challenges, and future prospects based on data analytics

Computer Methods and Programs in Biomedicine | 2024

cecilia Castro

Victor Leiva

Diego Garrido

Mauricio Huerta

Vinicius Minatogawa

DOI

Combining Advanced Feature-Selection Methods to Uncover Atypical Energy-Consumption Patterns

Future Internet | 2024

Lucas Henriques

Felipe Lima

cecilia Castro

DOI

Comparative Analysis of Normality Tests: Integrating Classical and Contemporary Approaches

cecilia Castro

Lucas Henriques

Felipe Prata

DOI

Efficiency, optimality, and selection in a rigid actuation system with matching capabilities for an assistive robotic exoskeleton

Engineering Science and Technology, an International Journal | 2024

Asim Ghaffar

Muhammad Rahman

Victor Leiva

Carlos Martin-Barreiro

Imran Ali

Xavier Cabezas

cecilia Castro

DOI

Pagination

  • Previous page ‹‹
  • Next page ››

Contacts

Campus de Gualtar
4710 - 057 Braga
Portugal

Phone: +351 253604367 
Email: sec@cmat.uminho.pt

Partially financed by FCT - Fundação para a Ciência e a Tecnologia, I.P., under the scope of the projects:

UID/00013/2025           DOI https://doi.org/10.54499/UID/00013/2025
UID/PRR/00013/2025       DOI https://doi.org/10.54499/UID/PRR/00013/2025. 
UID/PRR2/00013/2025      DOI https://doi.org/10.54499/UID/PRR2/00013/2025. 

This webpage was supported by FCT funds within projects UID/MAT/00013/2013, UIDB/00013/2020 and UIDP/00013/2020.