Maria Ganzha

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Total Citations

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About

Maria Ganzha is a leading researcher in the fields of artificial intelligence, multi-agent systems, and natural language processing, with a particular focus on embodied AI and human-computer interaction. Her most cited work, "RAI: Flexible Agent Framework for Embodied AI" (2025), introduces a groundbreaking framework that enables adaptive, autonomous agents to operate in physical environments, bridging the gap between virtual intelligence and real-world robotics. This contribution has already garnered 4 citations, signaling its growing influence in the AI community. Ganzha also made significant strides in natural language processing with her 2022 paper on feature extraction for Polish language named entity recognition, designed to enhance Robotic Process Automation applications with self-learning capabilities. This work, cited 2 times, demonstrates her commitment to advancing multilingual AI systems. Her research is characterized by a practical, application-driven approach, aiming to create intelligent assistants that can understand and interact with their surroundings seamlessly. Ganzha’s contributions are pivotal for students and researchers exploring the intersection of AI, robotics, and language technologies, offering innovative solutions for real-world automation challenges.