Associate Professor, University of Porto, Portugal
Paula Manuela Lemos Pereira Milheiro de Oliveira is a distinguished researcher and professor specializing in applied mathematics. She holds a Doctorat de MathĂŠmatiques AppliquĂŠes from UniversitĂŠ de Provence, France, and is currently an Associate Professor at the University of Porto. With an extensive research background in stochastic systems, nonlinear filtering, and mathematical modeling, she has contributed significantly to various international projects and collaborations. Dr. Milheiro Oliveira has authored numerous high-impact publications in computational mathematics, structural engineering, and Bayesian statistical modeling. Her expertise spans fluid dynamics, coastal erosion modeling, and digital concrete. She has collaborated with top research institutions across Europe, including INRIA and CNRS in France. As a key investigator in multiple funded projects, she plays a pivotal role in advancing the fields of applied mathematics and engineering. Her interdisciplinary work has received notable citations, solidifying her reputation as a leading figure in mathematical research.
Profile
Educationđ
Dr. Paula Milheiro Oliveira has a solid academic foundation in mathematics. She earned her Doctorat de MathĂŠmatiques AppliquĂŠes in 1990 from UniversitĂŠ de Provence, Aix-Marseille, France, with a thesis on nonlinear filtering in low-noise environments. She also holds a DEA (Master’s) in Applied Mathematics from the same institution (1987). Before that, she completed her Licenciatura (Bachelor’s) in Mathematics with a specialization in Applied Mathematics at the University of Porto, Portugal, in 1985. In 2024, she achieved the prestigious Agregação (habilitation) in Applied Mathematics from the University of Porto, further strengthening her academic credentials. Her educational background reflects her deep expertise in probability theory, stochastic processes, and computational mathematics. With a strong foundation in mathematical modeling and its engineering applications, Dr. Milheiro Oliveira continues to contribute to cutting-edge research and mentorship, shaping future scholars in mathematics and engineering disciplines.
Experience đŠâđŤ
Dr. Paula Milheiro Oliveira has an extensive career in academia and research. Since 2001, she has been an Associate Professor at the University of Porto, where she teaches and mentors students in applied mathematics. Before this, she was an Assistant Professor at the Faculty of Engineering (1991â2001). Her research career began at INRIA, France (1987â1990), where she worked on stochastic processes. She later joined the Institute of Systems and Robotics in Porto (1993â1997), contributing to advanced robotic modeling. Her international experience includes a visiting researcher role at HR Wallingford Ltd, UK, in 1997. Beyond academia, she served as a Science and Technology Manager at CEC (2002â2008). She is a key investigator in multiple projects involving nonlinear filtering, digital concrete, and climate-resilient structures. With ongoing collaborations in France and Portugal, she remains a leading researcher in stochastic modeling and mathematical applications in engineering.
Research Focus đŹ
Dr. Paula Milheiro Oliveiraâs research primarily focuses on stochastic systems, nonlinear filtering, and computational mathematics. Her work contributes to diverse fields, including probabilistic modeling, Bayesian networks, and uncertainty quantification. She applies mathematical techniques to solve real-world engineering challenges, such as digital concrete design, coastal erosion prediction, and climate-resilient infrastructure. Her expertise extends to numerical methods for nonlinear wave models, high-performance concrete materials, and self-compacting cementitious composites. A significant part of her research addresses the application of stochastic differential equations to structural reliability analysis. She is also involved in machine learning-based predictive modeling for sustainable construction materials. With multiple funded projects, her interdisciplinary approach bridges mathematics, civil engineering, and computational science. Her ongoing work in filtering theory and partial differential equations contributes to advancements in intelligent systems and smart infrastructure solutions.
Publication Top Notesđ
- Stochastic simulation of episodic soft coastal cliff recession
- A methodology to assess robustness of SCC mixtures
- Using Bayesian networks to improve knowledge assessment
- Comparative effects of bevacizumab, ranibizumab and pegaptanib at intravitreal dose range on endothelial cells
- Sleep on the job partially compensates for sleep loss in nightâshift nurses
- Estimation of the tensile strength of UHPFRC layers based on non-destructive assessment of fiber content and orientation
- Design of self-compacting high-performance concrete: Study of mortar phase
- Rheological characterization of SCC mortars and pastes with changes induced by cement delivery
- Interaction diagrams to assess SCC mortars for different cement types
- Robust SCC mixes through mix design
- Queues with server vacations as a model for pre-timed signalized urban traffic
- Exercise templates with Sage
- Modeling and simulation of traffic movements at semi-actuated signalized intersections
- Bayesian statistical methods for modeling and prediction of major landslides in coastal cliffs
- Mathematics or mathematics for engineering?
- Coastal cliff recession: development and application of prediction methods
- Design of eco-efficient ultra-high-performance fiber-reinforced cement-based composite for rehabilitation applications
- Interface evaluation of Portuguese and international news websites
- Eco-efficient high-performance white concrete incorporating waste glass powder
- ModelMaker, a multidisciplinary web application to build question generator models from basic to higher education