Luiz Desuó Neto
PhD candidate
Researcher
Technical Skills:
- Probabilistic models
- Bayesian inference
- Structured probabilistic models
- Programming skills
- Probabilistic programming
- Python programming and packaging
- CI/CD workflows automation
- Data pipeline automation
- Statistical signal processing
- Optimization and metaheuristics
- Geoprocessing
- Networked systems
Education
-
Ph.D., Electrical Engineering - Dynamic Systems University of São Paulo (present) -
M.Sc., Electrical Engineering - Dynamic Systems University of São Paulo (2021) -
B.E., Electrical and Electronics Engineering University of São Paulo (2016)
Experience
- Signal Processing Laboratory (2019 - present)
- Center for Artificial Intelligence - C4AI (2022 - present)
Packages
Latest Published
- A Multilayer Resilience Assessment of Power Distribution Systems with Reliability Models, Service Restoration, and Dynamic Bayesian Networks (Energy System Resilience and Distributed Generation - 2024)
- A Bayesian Hierarchical Model to create synthetic Power Distribution Systems (Electric Power Systems Research - 2024)
- Intelligent Resource Allocation in Power Grids: Leveraging Variable Neighborhood Search for Optimal Switch Allocation (IEEE International Conference on Evolving and Adaptive Intelligent… - 2024)
- Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation (Reliability Engineering & System Safety - 2024)
- A stochastic Bayesian artificial intelligence framework to assess climatological water balance under missing variables for evapotranspiration estimates (Agronomy - 2023)