Alina Miron

Papers

Total Citations

115

H-Index

About

Alina Miron is a researcher whose work bridges the frontiers of computational intelligence and human-computer interaction. Her primary research areas include swarm intelligence, particularly particle swarm optimization (PSO), and computer vision, with a focus on human gesture analysis. Miron’s most significant contribution is her comprehensive survey on PSO, which has garnered 107 citations. This work provides an exhaustive overview of the original algorithm, its numerous variants, and the evolving landscape of applications and trends, serving as a critical resource for researchers tackling complex optimization problems. In the domain of computer vision, Miron has advanced the automatic recognition of human gestures. Her work on gesture correctness estimation employs deep neural networks combined with rough path descriptors to analyze sequences of body joint positions captured by sensors. This approach addresses the classical challenge of identifying and evaluating motions from video data, with applications in areas like sports training and rehabilitation. By integrating cutting-edge deep learning with mathematical descriptors, Miron’s research demonstrates a powerful methodology for interpreting human movement, marking her as a versatile and impactful contributor to both optimization theory and practical vision systems.