Isidoros Perikos

Research Academic Computer Technology Institute, University of Patras

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About

Isidoros Perikos is a researcher whose work bridges the critical domains of natural language processing and autonomous systems. His primary research areas include semantic text analysis, artificial intelligence, and intelligent drone navigation. Perikos made a significant contribution to natural language understanding with his work on "Using Siamese BiLSTM Models for Identifying Text Semantic Similarity" (2023, 6 citations), where he advanced techniques for detecting semantic equivalence between text pairs—a fundamental challenge in AI-driven language tasks. In the field of autonomous robotics, he developed "A Methodology For Drones to Learn How to Navigate And Avoid Obstacles Using Decision Trees" (2020, 4 citations), addressing one of the most pressing operational challenges for UAVs: safe, efficient navigation in real-world environments. This work highlights his ability to apply machine learning to practical, high-impact problems. Perikos’s research demonstrates a versatile expertise, combining deep learning architectures with decision-making algorithms to solve complex, real-world problems in both language and robotics.