About

I am a finishing Computer Science PhD student at Radboud University Nijmegen. My work involves model learning techniques and their application to real-world systems. With my PhD drawing to a close (and my defense date set for April 2018), I decided to try my hands in industry as a Software Developer at a nice company. Research is still close to my heart however, and it's what I will mostly cover here. Aside from research and developing (research/industry) software, I am always looking to improve my knowledge on computers, programming... That is, when I'm not singing (most likely in a choir), browsing Internet overloading my mind with irrelevant information...

Research Interest

As previously mentioned, my research area is model learning and its application. In particular, my focus is on developing model learning techniques for Extended Finite State Machines, formalisms that allow the representation of data flow. A side goal is to apply model learning to practical software, like network protocols.

More generally, my research interests lie in:

Software

I contributed to several software projects. Among these I mention:

Teaching

I assisted with the following courses at Radboud University:

Publications

A listing of all my scientific contributions:

[1] F. Aarts, P. Fiterāu-Brostean, H. Kuppens, and F. W. Vaandrager. Learning register automata with fresh value generation. In ICTAC 2015, volume 9399 of LNCS, pages 165-183. Springer, 2015. [ bib ][ pdf ]
[2] F. Aarts, P. Fiterāu-Brostean, H. Kuppens, and F. W. Vaandrager. Learning register automata with fresh value generation. Submitted to MSCS, 2016. [ bib ]
[3] P. Fiterāu-Brostean, R. Janssen, and F.W. Vaandrager. Learning fragments of the TCP network protocol. In FMICS 2014, volume 8718 of LNCS, pages 78-93. Springer, 2014. [ bib ][ pdf ]
[4] P. Fiterāu-Brostean, R. Janssen, and F.W. Vaandrager. Combining model learning and model checking to analyze TCP implementations. In CAV 2016, volume 9780 of LNCS, pages 454-471. Springer, 2016. [ bib ][ pdf ]
[5] Paul Fiterāu-Brostean and Falk Howar. Learning-based testing the sliding window behavior of TCP implementations. In Critical Systems: Formal Methods and Automated Verification, pages 185-200. Springer, 2017. [ bib ][ pdf ]
[6] R. Smetsers, P. Fiterāu-Brostean, and F.W. Vaandrager. Model learning as a satisfiability modulo theories problem Work in progress, 2017. [ bib ]
[7] P. Fiterāu-Brostean, T. Lenaerts, J. de Ruiter, E. Poll, F.W. Vaandrager, and P. Verleg. Model learning and model checking of ssh implementations. In Proceedings of the 24th ACM SIGSOFT International SPIN Symposium on Model Checking of Software, SPIN 2017, pages 142-151. ACM, 2017. [ bib ][ pdf ]

This list cannot be complete without my (due to be defended) PhD thesis which mostly stitches these works together. A copy of the thesis can be found here. What might be interesting to readers is the introduction, which gives a unified overview of all the work done during my PhD. My thesis also features on the IPA website.

Hobbies

I love singing, staying informed (thanks BBC), gaming and just going for a walk. Also do running, more for keeping my health in check than for the love of it.

The publications section was generated with the help of bibtex2html 1.95.