The research group Stochastic Modeling and Analysis of Communication Systems (SMACS) is part of the Department of Telecommunications and Information Processing (TELIN-EA07) of the Faculty of Engineering and Architecture. The group covers the whole spectrum of scientific research in the area of stochastic modeling and analysis of communication systems, from very fundamental theoretical research on stochastic modeling in general and (discrete-time) queueing theory in particular, to more applied research with respect to the performance evaluation of all kinds of engineering systems that are amenable to stochastic modeling, such as telecommunication networks, production systems, health care, etc. Some specific research lines are: Fundamental theoretical: - general queueing theory - discrete-time queueing models and analysis - modeling with Markov chains - modeling with probability-generating functions - novel paradigms for the service process in queueing models - queueing systems with variable number of servers - queueing models with innovative population-based service mechanisms - queueing models with impatient customers - queueing models with deadlines - scheduling algorithms for queueing systems - joint analysis of multiple queueing systems - queueing systems with multiple customer types (multiclass systems) - "class clustering" and "global FCFS" in multiclass service systems - multiclass queueing models with alternating service or alternating priorities - queueing systems with interdependent arrival processes Applied research: - design and analysis of generic (Markovian) traffic and buffer models for communication systems - optical buffers and switching systems - scheduling and wavelength conversion in optical packet switching and optical burst switching - traffic aspects of "cognitive radio" networks - analytical study of packet loss and packet delay (variation) in buffers for 5G - patient scheduling and resource allocation and optimization in health care - modelling of call centers and logistic distribution centers - analysis of data-backup scheduling techniques - analysis of "generalized processor sharing" (GPS) scheduling