Developed a range of perception technologies, including data processing beyond the visible spectrum (such as depth, thermal imaging, multispectral, and hyperspectral images) and algorithm deployment on edge AI embedded systems.
Research Experience
Areas of work include, but are not limited to, image filtering and enhancement, segmentation, navigation, object detection, and tracking with applications in robotics, monitoring, remote sensing, agriculture, and healthcare.
Background
Research interests lie at the intersection of state-of-the-art methods in image processing and machine learning, focusing on extracting meaningful information from images, videos, and signals.
Miscellany
In addition to regular camera images, explores the best solutions using various imaging sensors; optimizes algorithms for edge AI devices, including low-level optimizations, quantization, mixed-precision processing, and the use of efficient runtime environments.