SEMLA 2025

The SEMLA 2025 symposium focuses on two themes: redefining how we design, develop, and operate AI-driven software systems. The first theme, AgentOps, focuses on the emerging discipline of operationalizing intelligent agents within software pipelines; agents that can not only generate and evaluate code but also support debugging, validation, and continuous deployment. The second theme, Intelligent Systems, highlights the role of Digital Twins as powerful tools for modeling, simulating, and optimizing real-world systems in real time. In particular, Digital Twins are becoming essential in driving sustainable development, offering actionable insights for infrastructure, energy, and environmental applications.

As software systems grow increasingly complex and autonomous, Agentic AI is shifting the role of the software engineer from sole author to collaborator. Agents powered by large language models (LLMs) are now deeply embedded in the development lifecycle, assisting in everything from code generation and repair to testing and operations. This transformation requires not just new tools, but new ways of thinking about reliability, trust, and human-agent interaction. As our keynote speaker, Abhik Roychoudhury articulates in his work Agentic AI Software Engineer: Programming with Trust: "In the era of Agentic AI, the future of programming is not just about scale; it's about trust. Software engineers won't just write code; they'll collaborate with intelligent agents to build systems we can believe in."

At the same time, the rise of Digital Twins is transforming how we approach sustainability and system intelligence. By offering dynamic, AI-enhanced representations of physical systems, Digital Twins enable more informed decisions, predictive modeling, and efficient management, bridging the physical and digital worlds to support long-term resilience and impact.

Topics of Interest Include:

• Agent operations (AgenOps) and lifecycle management
• Interfacing with LLMs and agent-driven user experiences
• Modern data platforms that support intelligent querying and data acquisition 
• Building contextual agents
• Cognitive Digital Twins
• AI-enhanced Digital Twins for sustainability, energy, and infrastructure
• Verification, validation, and trust in AI systems
• Ethics, governance, and explainability in agentic workflows

SEMLA 2025 brings together researchers, engineers, and innovators at the intersection of software engineering and machine learning to explore how agentic and intelligent systems are shaping the future. Join us as we define the next generation of trustworthy, operational, and sustainable AI-driven software.