Alon Tairy

Designed and implemented end-to-end computer vision and machine learning systems, specializing in remote sensing and geospatial analysis. Expert in real-time computing and high-performance systems, with extensive experience in mentoring and project implementation.

Designed and implemented end-to-end computer vision and machine learning systems, specializing in remote sensing and geospatial analysis. Developed real-time applications and optimized high-performance computing solutions.

Developed remote sensing algorithms for image processing and analysis, focusing on multi-sensor image fusion and target recognition.

Developed remote sensing algorithms including image mosaicing and multi-sensor image fusion.

Led the development of 3D reconstruction algorithms from structured light, resulting in a software product for accurate 3D modeling.

Led the development of 3D reconstruction algorithms from structured light, resulting in a software product for detailed 3D modeling.

Worked on visual object recognition and image matching algorithms, optimizing processes for large volumes of digital images.

Focused on visual object recognition and image matching, developing algorithms for processing large volumes of digital images.

Developed remote sensing and computer vision algorithms for land-cover classification and anomaly detection.

Developed remote sensing and computer vision algorithms for land-cover classification and anomaly detection.

Designed and implemented advanced signal processing algorithms for imaging radar systems, focusing on data acquisition and visualization.

Designed advanced signal processing algorithms for 4D imaging radar systems and developed software architecture tools.

Led software development for autonomous driving algorithms, optimizing code from Python to C++/CUDA and implementing coding standards.

Led software development for autonomous driving algorithms, optimizing code for performance and implementing coding standards.

Led a team in developing advanced computer vision and machine learning techniques for real-time video processing applications.

Led a team in developing advanced computer vision and machine learning techniques for real-time video processing and object tracking.

Conducted analysis of algorithms and software for performance improvement, collaborating with teams to optimize software and algorithm performance.

Conducted analysis of algorithms and software for performance improvements, collaborating with teams to optimize software and migrate systems across platforms.

Focused on high-performance algorithm and software design, with an emphasis on large-scale inference acceleration.

Focused on high-performance algorithm and software design, with an emphasis on large-scale inference acceleration.

Ph.D. candidate in Electrical and Computer Engineering focusing on Semantic Segmentation of Spatial Scenes using Heterogeneous Imaging Sensor Fusion. Research interests include Remote Sensing, Computer Vision, Machine Learning, and Deep Learning.

Ph.D. candidate in Electrical and Computer Engineering focusing on Semantic Segmentation of Spatial Scenes using Heterogeneous Imaging Sensor Fusion. Research interests include Remote Sensing, Computer Vision, Machine Learning, and Deep Learning.

Master's degree in Electrical and Computer Engineering with a thesis on Large Scale Machine Learning Methods Applied to Object Recognition in Multidimensional Geospatial Imaging.

Bachelor's degree in Electrical and Computer Engineering specialized in Signal and Image Processing, Communication, and Computers. Final project involved Multi-Sensor Image Registration with Relaxation-Based Point Pattern Matching.

Master's degree in Electrical and Computer Engineering with a thesis on Large Scale Machine Learning Methods Applied to Object Recognition in Multidimensional Geospatial Imaging.

Bachelor's degree in Electrical and Computer Engineering, specialized in Signal and Image Processing, Communication, and Computers. Final project focused on Multi-Sensor Image Registration with Relaxation-Based Point Pattern Matching.