Intro
Welcome to my website! I am an applied AI and R&D scientist at the Okinawa Institute of Science and Technology (OIST), with a background in electrical engineering, neuroscience, and machine learning. My work focuses on developing intelligent sensing and AI technologies for real-world applications, spanning computer vision, biodiversity monitoring, and animal behavior analysis.
I currently lead R&D projects involving deep learning, neural architecture search, bioacoustics, and 3D animal tracking. My experience extends from designing and evaluating novel algorithms to developing validated prototypes on resource-constrained hardware. Beyond technical research, I am interested in translating scientific discoveries into validated prototypes, with experience in project leadership, competitive research funding, and early-stage commercialization.
Open to new opportunities: I am exploring industry R&D roles in applied AI, intelligent sensing, computer vision, and Edge AI, particularly in environmental and biomedical applications. I welcome opportunities to contribute to innovative technologies with real-world impact and high social value.
Get in touch at deligkarisk[at]gmail.com.
Research Highlights
How do social hierarchies emerge from physical interactions? We address this through high-resolution 3D tracking of zebrafish aggressive behavior, capturing 173 experiments across health and disease states. Our dataset reveals fine-grained dynamics of dominance establishment, from initial confrontation to stable hierarchies, providing a foundation for understanding the physical principles underlying social behavior.
Published in Nature Scientific Data
Dataset available in Zenodo
Deep learning enables scalable biodiversity monitoring through automated acoustic species identification. Our FrogAI system analyzes frog mating calls to distinguish Okinawa's endemic and invasive amphibian species, transforming hours of field recordings into real-time conservation data. This bioacoustic approach provides a non-invasive foundation for continuous ecosystem health monitoring and early detection of environmental change.
Pre-print available on biorxiv
