The ultimate goal of Service Engineering, as we perceive it at SEE, is to develop scientifically-based design principles and tools (often culminating in software), that support and balance service quality, efficiency and profitability, from the likely conflicting perspectives of customers, servers, managers, and often also society. Successful design, analysis and management of services must often be multi-disciplinary, fusing ingredients from Operations Research, Statistics, Industrial Engineering; Game Theory, Economics; Sociology, Psychology; Management Information Systems, Computer Science, and even more. (As frequent users of services, the relevance of these disciplines should be intuitively clear to most readers. Significantly, all are taught, under a single roof, at the Faculty of Industrial Engineering & Management, Technion.)

However, our background and interests render our research, and hence also our teaching, biased towards Service Operations and their Statistical Inference, viewing these through the mathematical lenses of queueing theory. But the latter must be scientifically-blended with alternative "views", notably those of Marketing, Human-Resources and Information-Systems.