Dimitrios Makrygiannis
Papers
2
Total Citations
26
H-Index
2
About
Dimitrios Makrygiannis is a researcher at the forefront of human-centered artificial intelligence, specializing in the recognition and forecasting of professional human movements and gestures. His work lies at the critical intersection of computer vision, multivariate time series analysis, and deep learning, with a clear focus on enhancing human-machine collaboration within Industry 4.0 environments. Makrygiannis’s most cited paper (2020, 20 citations) introduces a novel framework for representing human movement on multivariate time series, enabling the recognition of professional gestures and the forecasting of their trajectories—a pivotal contribution for augmenting operator capabilities and improving workplace quality. He further advances this domain with his work on optimal video handling for online hand gesture recognition using Deep Neural Networks (2021, 6 citations), addressing key challenges in real-time human-computer communication from RGB video feeds. By tackling the practical deployment of AI in professional settings, Makrygiannis is helping to shape a future where machines intuitively understand and collaborate with human operators, making his research essential reading for those interested in applied deep learning and the future of intelligent work environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2