This inventor holds 6 USPTO granted patents. Top assignees: The University of New Mexico, Other. Active years: 2015-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Albuquerque, NM (US) (2015 - 2017)
- Clawson, MI (US) (2020 - 2024)
Company Filing History:

Years Active: 2015-2024
Title: Innovations of Daniel Rolando Llamocca Obregon
Introduction
Daniel Rolando Llamocca Obregon is an accomplished inventor based in Albuquerque, NM. He has made significant contributions to the field of computing, particularly in the area of convolutions and transforms. With a total of five patents to his name, his work has advanced the efficiency and scalability of computational methods.
Latest Patents
Among his latest patents is a system and methods for computing 2-D convolutions and cross-correlations. This innovation features fast and scalable architectures that adapt to available resources. It computes 2-D convolutions using 1-D convolutions, provides fast transposition and accumulation of results, and enables parallel computations through pipelined 1-D convolvers. Another notable patent involves the computation of the forward and inverse discrete periodic Radon transform on GPUs and CPUs. This patent outlines fast and scalable algorithms that distribute the computation of the Radon transform across multicore CPUs and utilize parallel, distributed computations on GPU cores.
Career Highlights
Daniel has worked with various organizations, including Stc.unm, where he has further honed his skills and expertise. His innovative approaches have led to advancements in computational methods that are widely applicable in various fields.
Collaborations
Throughout his career, Daniel has collaborated with notable individuals such as Marios Stephanou Pattichis and Cesar Carranza. These collaborations have contributed to the development of his groundbreaking patents and innovations.
Conclusion
Daniel Rolando Llamocca Obregon is a prominent inventor whose work in computational methods has made a significant impact. His patents reflect a commitment to innovation and efficiency in technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile