Maria Clara Assunção – Marcos M. Raimundo

School of Mechanical Engineering - Universidade Estadual de Campinas

Maria Clara Assunção is an MSc candidate in Mechanical Engineering at the School of Mechanical Engineering at the Universidade Estadual de Campinas (FEM - UNICAMP). She is co-advised by Professor Dr. Marcos Medeiros in her dissertation, which focuses on enhancing machine learning techniques for applications in Prognostics and Health Management (PHM).

Interests

Machine Learning
Data Science
Condition Monitoring

Education

MSc in Mechanical Engineering, 2025 Universidade Estadual de Campinas

BSc in Applied Math, 2022 Universidade Federal do Espírito Santo

Publications

Aprimoramento de técnicas de feature engineering para aplicação em prognóstico e gestão da saúde de máquinas

Maria Clara Assunção Viana (2025). [sn].

Identifying grain size in ASTM A36 steel using ultrasonic backscattered signals and machine learning

Maria Clara Assunção Viana, P Pereira, Alexandre Aparecido Buenos, AA Santos (2024). NDT & E International.

Measuring vertical track irregularities from instrumented heavy haul railway vehicle data using machine learning

Arthur Cancellieri Pires, Maria Clara Assunção Viana, Lorenzo M Scaramussa, Guilherme Fabiano Mendonça do Santos, Paola Gonzalez Ramos, AA Santos (2024). Engineering Applications of Artificial Intelligence.

Generation of Realistic Artificial Track Irregularities for Multibody Simulation usina Measure Geométrica Data - from Mid-Chord to Space-Curve

G.F.M. Santos and A.A Santos M.C.A. Viana, P.G. Ramos, A.J.C.R. Tameirao, A.C. Pires (2023). Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance.

Comparação entre modelo dinâmico e quase-estático para análise de contatos roda-trilho

Thiago Leister Sá, Paola Gonzalez Ramos, Philipe Augusto de Paula Pacheco, Maria Clara Assunção Viana, Guilherme Fabiano Mendonça dos Santos, Auteliano Antunes dos Santos Junior, Alfredo Gay Neto (2022). Anais.