
About
Prof. Adrian Horzyk is a distinguished academic at AGH University of Science and Technology, where he leads research in Artificial Intelligence, Associative Systems, and Biocybernetics within the Department of Biocybernetics and Biomedical Engineering. His work bridges Neural Networks, Knowledge Graphs, and Biomedical Applications, with a focus on associative computing and computational intelligence.
- Key Roles: Professor, AGH University of Science and Technology
- Labs: Biocybernetics, Cognitive Science, and Artificial Intelligence Laboratory
Horzyk's research explores associative knowledge graphs (ANAKG/LANAKG), self-optimizing neural networks (ASONN), and graph-based data structures (AGDS). He investigates how neural plasticity, synaptic delays, and semantic memory can enhance AI systems, including applications in medical diagnostics (e.g., Fetal Alcohol Syndrome classification) and emotional state analysis via chatbots.
His recent publications span topics like ECG signal compression, stock market forecasting, and associative reasoning in neural networks. He has developed AVB+ trees for data structure optimization and DASNG (Deep Associative-Semantic Neural Graphs) for efficient data representation.
Scientific Collaborations:
- Collaborated with leaders in AI, including Prof. Leszek Rutkowski and Prof. Ryszard Tadeusiewicz
- Contributed to international competitions and publications, including monographs like Artificial Associative Systems and Associative Artificial Intelligence (EXIT Publishing, 2013)
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