I am a Ph.D. student at the University of Stuttgart at the Institute of Communication Networks and Computer Engineering (IKR). I am interested in intent-driven networking and how Bayesian statistics and Reinforcement Learning can be used in this field to tackle common challenges.
MINDFul.jl is a tool to research coordination mechanisms and intent-driven algorithms for multi-domain IP-Optical networks. It combines modern paradigms like Software Defined Networking (SDN) and Intent-Based Networking (IBN) to build a novel flexible architecture, which is appropriate but not limited to decentralized control. It provides a stateful representation of common metro/core network equipment and facilitates event-based simulations with a hackable interface and visualization support.