Research

You can also find my articles on DBLP or Google Scholar.

2026

A Fast Quantitative Analyzer for NetKAT
Thomas Lu, Qiancheng Fu, Kevin Batz, Oliver Bøving, Tiago Ferreira, Mark Moeller, Nate Foster, and Alexandra Silva.
arXiv preprint 2026
Weighted NetKAT: A Programming Language for Quantitative Network Verification
Emmanuel Suárez Acevedo, Tiago Ferreira, Kevin Batz, Oliver Bøving, Nate Foster, and Alexandra Silva.
PLDI 2026
SMT-Based Active Learning of Weighted Automata
Tiago Ferreira, Kevin Batz, and Alexandra Silva.
CAV 2026

2025

RFSeek and Ye Shall Find
Noga H. Rotman, Tiago Ferreira, Hila Peleg, Mark Silberstein, and Alexandra Silva.
arXiv preprint 2025
Active Learning of Symbolic NetKAT Automata
Mark Moeller, Tiago Ferreira, Thomas Lu, Nate Foster, and Alexandra Silva.
PLDI 2025

2023

Conflict-Aware Active Automata Learning
Tiago Ferreira, Léo Henry, Raquel Fernandes da Silva, and Alexandra Silva.
GandALF 2023

2022

Tree-Based Adaptive Model Learning
Tiago Ferreira, Gerco van Heerdt, and Alexandra Silva.
A Journey from Process Algebra via Timed Automata to Model Learning 2022

2021

PROGNOSIS: Closed-Box Analysis of Network Protocol Implementations
Tiago Ferreira, Harrison Brewton, Loris D'Antoni, and Alexandra Silva.
ACM SIGCOMM 2021

2019

Symbolic Register Automata
Loris D'Antoni, Tiago Ferreira, Matteo Sammartino, and Alexandra Silva.
Computer Aided Verification 2019