Poughkeepsie, NY, United States of America

Lisander Lopez


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Lisander Lopez

Introduction

Lisander Lopez is a notable inventor based in Poughkeepsie, NY. He has made significant contributions to the field of machine learning, particularly in the area of system debugging. His innovative approach has led to the development of a unique patent that enhances the efficiency of fault location prediction in complex systems.

Latest Patents

Lisander holds a patent for a process titled "Machine learning model training to assist in system debug." This invention involves training a machine learning model to predict fault locations within a system. The process includes generating a data set by injecting test faults into a simulation of the system and recording the respective error syndromes. By repeating this process at various locations, the model is trained to assist in debugging by predicting fault locations based on generated error syndromes. This patent showcases Lisander's expertise in integrating machine learning with practical applications in system maintenance.

Career Highlights

Lisander Lopez is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to collaborate with leading experts in the field, further enhancing his skills and contributions to technology. His dedication to innovation is evident in his patent and ongoing projects.

Collaborations

Lisander has worked alongside talented colleagues such as Uma Srinivasan and Akil Khamisi Sutton. Their collaborative efforts have fostered an environment of creativity and innovation, leading to advancements in machine learning applications.

Conclusion

Lisander Lopez is a pioneering inventor whose work in machine learning and system debugging is making a significant impact in the technology sector. His patent reflects his commitment to innovation and problem-solving in complex systems.

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