Ph.D. candidate in Information and Systems Engineering, pursuing a cotutelle between Concordia University, Canada, and the Federal University of Santa Catarina, Brazil. My research focuses on developing optimal controllers for autonomous systems that must follow precise trajectories while respecting constraints, like physical boundaries, speed limits, and disturbances.
As a mathematician with 5+ years of teaching experience, I'm passionate about bridging abstract theory and practical applications. I'm particularly drawn to emerging fields where math plays a central role—from AI and machine learning to robotics and autonomous systems.
Doctor of Philosophy (Ph.D.) - Information and Systems Engineering
Concordia University
Montreal, Quebec, Canada
Federal University of Santa Catarina (UFSC)
Florianópolis, Santa Catarina, Brazil
Licentiate Degree - Mathematics
State University of Paraná (UNESPAR)
Campo Mourão, Paraná, Brazil
2024 American Control Conference (ACC), 1670-1675
IEEE Control Systems Letters 7, 1429-1434, 2023
Simpósio Brasileiro de Automação Inteligente-SBAI 1 (2), 2023
IFAC-PapersOnLine 55 (35), 25-30, 2022
Federal University of Santa Catarina (UFSC), 2021
Concordia University, Montreal, Canada
Supervisors: Dr. Luis Rodrigues, Dr. Walter Lucia, Dr. Eugenio Castelan
State University of Parana, Campo Mourao, Brazil
Supervisors: Dr. Willian Bellini, Dr. Wellington Hermann
Concordia University, Montreal, Canada
2024
Concordia University, Montreal, Canada
2023 - 2024
Concordia University, Montreal, Canada
2023 - 2024
Concordia University, Montreal, Canada
2023 - 2024
Concordia University, Montreal, Canada
2023
State University of Parana, Campo Mourao, Brazil
2017
State University of Parana, Campo Mourao, Brazil
2016
State University of Parana
Topics:
Developing PI-like output feedback tracking controllers for autonomous systems using robust positive invariant sets. Focus on ensuring systems meet constraints while maintaining optimal performance.
Research on robust optimization approaches applied to linear programming problems under uncertainty. Implementation of Soyster's approach and two-stage stochastic programming with recourse.
Incremental output feedback design for discrete-time systems with amplitude and rate control constraints. Novel approaches for handling parameter variations in constrained control systems.