MODELSWARD 2026

The International Conference on Model-Based Software and Systems Engineering provides a platform for participants from all over the world to present research results and application experience in using model-based techniques for developing all sorts of systems. Model-based software engineering has emerged over many years as an approach for developing IT systems in which models take a central role, not only for the analysis of these systems but also for their construction.

ERSA'25

4th International Workshop on Explainability of Real-time Systems and their Analysis (ERSA 2025) at the IEEE Real-Time Systems Symposium (RTSS 2025) in Boston, MA, USA. Today, almost all verification techniques provide answers to questions but do not provide explanations. We will address that.

SEAMS 2026

SEAMS is a CORE-A ranked conference that applies software engineering methods, techniques, processes, and tools to support the construction of safe, performant, and cost-effective self-adaptive and autonomous systems that provide self-* properties like self-configuration, self-healing, self-optimization, and self-protection.

Position Opening: Experimental Quantum Science at Princeton University

Position Opening: Experimental Quantum Science at Princeton University

The Princeton Quantum Initiative (PQI) and the Department of Physics at Princeton University seek applications for a tenure-track assistant professor faculty position in experimental quantum science. Candidates in all areas of experimental quantum science, including quantum information processing, sensing, computing, and networks, who research different experimental platforms, are encouraged to apply. 

Submitted by Regan Williams on

New Edition: The Next Wave, Vol. 26, No. 1, 2025

New Edition: The Next Wave, Vol. 26, No. 1, 2025

Artificial Intelligence (AI) has garnered significant attention in recent years, but its roots extend deep into the past. Fundamental AI concepts emerged in the 1950s, with the first neural network constructed from vacuum tubes in 1951 and the concept of training models from data defined in 1958.

Submitted by Regan Williams on
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