Sotabase

Career

· Assistant Professor, DTU - Technical University of Denmark2024–
· Postdoctoral Researcher, Stanford University2024–2024
· Postdoctoral Researcher, Department Of Computer Science, University of Oxford2021–2023
· Doctor of Science (PhD), Multi-agent optimization, uncertain and stochastic optimization, Control Theory, University of Oxford2017–2021
· PHD Candidate, Department Of Engineering Science, University of Oxford2017–2021
· MS, Electrical Engineering, Control Theory, optimization, Universidade Estadual de Campinas2014–2017
· Scambio Culturale, Ingegneria meccatronica, robotica e dell'automazione, University of Rome Tor Vergata2012–2013
· Bacharelado em Engenharia Elétrica, Mecatrônica, Robótica e Engenharia de Controle e Automação, Universidade Federal de Campina Grande - UFCG2008–2014

Publications (32)

Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal Abstractions
2023
46
cited
On the Exact Feasibility of Convex Scenario Programs With Discarded Constraints
2020
32
cited
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
2022
31
cited
Subgradient averaging for multi-agent optimisation with different constraint sets
2019
16
cited
Data-driven Abstractions via Adaptive Refinements and a Kantorovich Metric
2023
13
cited
State-feedback and filtering problems using the generalized KYP lemma
2016
13
cited
Data-driven memory-dependent abstractions of dynamical systems
2022
12
cited
Distributionally Robust Optimal and Safe Control of Stochastic Systems via Kernel Conditional Mean Embedding
2023
11
cited
Distributed Actuator Selection: Achieving Optimality via a Primal-Dual Algorithm
2018
10
cited
Tight generalization guarantees for the sampling and discarding approach to scenario optimization
2020
9
cited
Inner Approximations of Stochastic Programs for Data-Driven Stochastic Barrier Function Design
2023
8
cited
Formal Controller Synthesis for Markov Jump Linear Systems with Uncertain Dynamics
2022
6
cited
Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples
2021
5
cited
A data-driven approach for safety quantification of non-linear stochastic systems with unknown additive noise distribution
2024
4
cited
Data-driven Interval MDP for Robust Control Synthesis
2024
4
cited
Probabilistic feasibility guarantees for convex scenario programs with an arbitrary number of discarded constraints
2023
4
cited
A Stability-Based Abstraction Framework for Reach-Avoid Control of Stochastic Dynamical Systems with Unknown Noise Distributions
2024
3
cited
Abstracting Linear Stochastic Systems via Knowledge Filtering
2023
2
cited
Bridging conformal prediction and scenario optimization
2025
2
cited
Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets
2019
2
cited
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