I am Joshua Moerman, PhD student at the Radboud University in Nijmegen (the Netherlands) at the computer science department iCIS. I am currently doing research in the field active automata learning and also a bit of PAC learning. My interests also include algorithms, functional programming, homotopy theory, coalgebra and category theory. Some of the software I write during my research can be found on Gitlab. Other bits and pieces of software can be found on Github.
(2017) Learning Nominal Automata - Joshua Moerman, Matteo Sammartino, Alexandra Silva, Bartek Klin and Michał Szynwelski. POPL 2017. [ Abstract ]
(2016) Minimal Separating Sequences for All Pairs of States - Rick Smetsers, Joshua Moerman and David N. Jansen. LATA 2016. [ Abstract ]
(2015) Applying Automata Learning in Embedded Control Software - Wouter Smeenk, Joshua Moerman, Frits Vaandrager and David N. Jansen. Presented at ICFEM 2015. [ Abstract ]
Master Mathematics (algebra and topology) 2013 - 2015, Radboud University. My master thesis was on Rational Homotopy Theory, supervised by Ieke Moerdijk.
Bachelor Computer Science 2009-2013, Radboud University.
Bachelor Mathematics 2009-2013, Radboud University.