In the Conceptual Modeling Group we perform research and development on model-based analysis and design of modern information systems. Our current focal points are:
- Goal modeling and analysis
- Developing tools and techniques for identifying and analyzing agent goals. Contexts and purposes include requirements engineering, reinforcement learning agent design, security workflow assembly, and explainability service analysis and design.
- Empirical studies in conceptual modeling.
- Exploring novel metrics, tools, and techniques for conceptualizing modeling language quality and systematizing and streamlining its empirical measurement.
- Blockchain and cryptocurrency modeling, simulation, and analysis.
- Special focus on evaluating the quality of consensus algorithms via event-driven simulation.
Members of our lab include graduate and undergraduate students of Information Technology, Computer Science and Behavioral Sciences working on their graduate theses or independent paid, for-credit or volunteering projects. For more information, please look at our current opportunities and openings or contact us directly.
