Munich, Germany

Heike Adel


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Heike Adel: Innovator in Deep Learning Applications

Introduction

Heike Adel is a notable inventor based in Munich, Germany. He has made significant contributions to the field of deep learning, particularly in the context of consumer behavior analysis. His innovative approach combines technology with marketing strategies to enhance user experience.

Latest Patents

Heike Adel holds a patent for a "System and method for using deep learning to identify purchase stages from a microblog post." This invention provides a method and system for targeting information to users. The process involves collecting digital posts that identify a product and are linked to a digital account. A neural network identifies the stage of a decision model associated with each post based on a generated feature representation. Subsequently, product-related information is transmitted to the digital account, tailored to the identified stage of the decision model.

Career Highlights

Heike Adel is currently employed at Fujifilm Business Innovation Corporation, where he continues to develop innovative solutions that leverage deep learning technologies. His work focuses on enhancing the intersection of technology and consumer engagement.

Collaborations

Heike collaborates with talented individuals such as Francine R. Chen and Yin-Ying Chen, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Heike Adel's contributions to deep learning and consumer behavior analysis exemplify the potential of technology in enhancing user experiences. His innovative patent reflects a forward-thinking approach that is likely to influence future developments in the field.

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