Theodoros Georgiou

Leiden University, Heriot-Watt University

Papers

Total Citations

248

H-Index

About

Theodoros Georgiou’s research sits at the intersection of computer vision, deep learning, and human-robot interaction, with a focus on making visual search and assistive robotics more intelligent and accessible. His most influential work, the comprehensive survey “Deep Learning for Instance Retrieval: A Survey” (2022), has garnered 174 citations, establishing him as a leading voice in the field of visual instance retrieval. In this work, Georgiou systematically maps the landscape of deep learning methods for searching large-scale image databases—a critical task for applications ranging from social media to medical imaging and robotics. He further consolidates this expertise in his earlier survey “Deep Image Retrieval: A Survey” (2021, 51 citations), providing a foundational resource for researchers tackling content-based image search challenges. Beyond vision, Georgiou applies participatory design methods to socially assistive robotics, notably exploring how these robots could aid stroke survivors (2020). He also tackles practical healthcare challenges with “Small Robots With Big Tasks” (2020), a proof-of-concept fall alert system for the elderly. Through his work, Georgiou bridges cutting-edge deep learning techniques with real-world, human-centered applications, making him a versatile and impactful researcher in both theoretical and applied domains.