Leuven, Belgium

Luis Diego Leon Hoffman



Average Co-Inventor Count = 2.4

ph-index = 1


Company Filing History:


Years Active: 2018-2024

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2 patents (USPTO):Explore Patents

Title: Innovations of Luis Diego Leon Hoffman

Introduction

Luis Diego Leon Hoffman is an accomplished inventor based in Leuven, Belgium. He has made significant contributions to the field of brain interaction technologies, holding a total of 2 patents. His work focuses on developing advanced systems that enhance the interaction between technology and the human brain.

Latest Patents

Hoffman's latest patents include a "Brain interaction apparatus, cranial anchor, and related systems and methods." This innovative apparatus comprises a plurality of filaments and a brain invasive launcher with multiple launching channels. Each channel is designed to hold one of the filaments, which may include a steering tip for precise navigation. The steering tip is uniquely designed with a tapered portion that is rotationally asymmetrical, allowing for enhanced control during brain interaction procedures. Another notable patent is the "Optical stimulation device," which features a probe with a grating coupler for light coupling. This device is equipped with an optical source that aligns with the grating coupler, facilitating effective optical stimulation.

Career Highlights

Throughout his career, Luis Diego Leon Hoffman has worked with prominent organizations such as Imec Vzw and Katholieke Universiteit Leuven. His experience in these institutions has allowed him to develop cutting-edge technologies that push the boundaries of brain-computer interaction.

Collaborations

Hoffman has collaborated with talented individuals in his field, including Sebastian Haesler and Dries Braeken. These partnerships have contributed to the advancement of his innovative projects and patents.

Conclusion

Luis Diego Leon Hoffman is a notable inventor whose work in brain interaction technologies has led to significant advancements in the field. His patents reflect a commitment to innovation and a deep understanding of the complexities of brain-computer interfaces.

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