Alper Yilmaz

Lewis Center, OH, United States of America

Alper Yilmaz

This inventor holds 12 USPTO granted patents and 4 published patent applications. Top assignees: The Ohio State University, Tireaudit.com, Inc.. Active years: 2016-2025.

USPTO Granted Patents = 12 

% Patents Active = 100.0

Average Co-Inventor Count = 2.5

ph-index = 4

Forward Citations = 115(Granted Patents)


Company Filing History:


Years Active: 2016-2025

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12 patents (USPTO):Explore Patents

Title: Alper Yilmaz: Innovator in Localization and Data Processing Technologies

Introduction

Alper Yilmaz is a prominent inventor based in Lewis Center, OH (US). He has made significant contributions to the fields of localization and real-time data processing, holding a total of 12 patents. His innovative work focuses on utilizing deep learning and neural networks to enhance object localization and emergency planning.

Latest Patents

One of Yilmaz's latest patents is titled "Systems, methods and devices for map-based object's localization deep learning and object's motion trajectories on geospatial maps using neural network." This invention addresses the challenge of determining an object's initial unknown position on a map by establishing its motion trajectory. The method reduces spatial uncertainty to a single location that aligns with a specific map trajectory. By employing an artificial neural network model, the system learns from object motion across various map topologies, enabling end-to-end positioning based on embedded map topologies and object motion. The approach includes learning potential motion patterns and performing trajectory classification in the map's edge-space, utilizing both angle representation and augmented angle representation.

Another notable patent is "Systems and methods for real-time data processing and for emergency planning." This invention describes a method for collecting real-time scenario test data to identify anomalies that may indicate imminent dangers. The computer-implemented method filters various test scenarios to identify subsets with similar behavior characteristics. A trained neural network is then used to identify which scenarios are most likely to lead to undesirable outcomes, enhancing emergency planning capabilities.

Career Highlights

Alper Yilmaz has worked with reputable organizations, including The Ohio State University and Tireaudit.com, Inc. His experience in these institutions has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.

Collaborations

Yilmaz has collaborated with notable individuals in his field, including Jack Marshall Zoken and Richard Denning. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and innovation.

Conclusion

Alper Yilmaz is a distinguished inventor whose work in localization and data processing technologies has made a significant impact. His innovative patents and collaborations reflect his commitment to advancing technology for practical applications.

Profile summary based on public USPTO records.
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