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This research area focuses on the application of Artificial Intelligence, Large Language Models (LLMs), and intelligent agents in modern software engineering and next-generation development environments. The research explores how AI can support software analysts, architects, and developers during requirements engineering, behavioral modeling, system design, code generation, documentation, testing, and software maintenance…</description>
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This research area focuses on hybrid intelligent systems combining Large Language Models (LLMs), autonomous AI agents, classical Multi-Agent Systems (MAS), symbolic reasoning, and neuro-symbolic supervision mechanisms. The research investigates how LLM-driven agents can be integrated with controlled and verifiable architectures to support safe, explainable, and adaptive decision-making in complex distributed environments.</description>
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This research area focuses on the analysis, modeling, and verification of behavioral processes in software systems, AI-driven environments, intelligent infrastructures, and autonomous agents. Modern digital systems continuously generate event logs and execution traces viewed as the “behavioral fingerprints” of complex systems, capturing how processes, decisions, and interactions evolve over time.</description>
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        <description>Intelligent Environments, Ubiquitous Computing, and Autonomous AI Systems

This research area focuses on intelligent environments, pervasive and ubiquitous computing, ambient intelligence, and context-aware autonomous systems operating in dynamic and distributed environments. The research explores how Artificial Intelligence, Large Language Models (LLMs), intelligent agents, and adaptive decision-support mechanisms can be integrated with real-time contextual information, sensor networks, IoT inf…</description>
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