Company Filing History:
Years Active: 2018
Title: Inventor Mandoye Ndoye: Innovations in Image Data Processing
Introduction
Mandoye Ndoye, an accomplished inventor based in Silver Spring, MD, has made significant contributions to the field of image data processing. With two patents to his name, his work primarily focuses on improving the efficiency and quality of image data estimation from large datasets.
Latest Patents
Mandoye Ndoye's latest patents showcase his innovative applications of the majorize-minimize (MM) mathematical principle. His first patent involves utilizing the MM-principle to achieve fast image data estimation from large image data sets. This approach effectively addresses least squares regularization estimation problems, allowing for efficient processing of image data which in turn yields high-quality images. Notably, this method is advantageous in ground penetrating radar applications, where it reduces processing time and memory usage by considering the symmetric nature of radar pulses and discrete time delays during transmission and reflection.
In his second patent, Ndoye again employs the MM-principle, this time to enforce a sparsity constraint on image data estimation. This innovation processes backscatter data to produce reliable images using minimal memory and processing resources. A significant aspect of this patent is the iterative derivation of estimated image values for each voxel, through a method that addresses a maximum a posteriori (MAP) estimation problem linked to a mathematical model. The application of prior probability density functions assumes that most reflection coefficients are small, promoting sparse solutions that are automatically estimated from the collected data.
Career Highlights
Mandoye Ndoye is currently associated with Howard University, where he continues to advance his research in image processing technologies. His academic background and ongoing research at the university underscore his commitment to developing cutting-edge solutions in the field.
Collaborations
Throughout his career, Mandoye has collaborated with notable colleagues, including John M M Anderson and Oludotun Ode. These partnerships reflect a strong synergy in their research endeavors and contribute to the innovative work being conducted at Howard University.
Conclusion
Mandoye Ndoye's contributions to image data processing through his patented inventions exemplify the impact of mathematical principles in technological advancements. His work not only enhances the quality of imaging techniques but also addresses critical efficiency challenges in processing large datasets. As he continues his research at Howard University, his advancements will undoubtedly pave the way for further innovations in the field.