Leuven, Belgium

Dimitrios Rodopoulos

USPTO Granted Patents = 4 

 

Average Co-Inventor Count = 3.3

ph-index = 2

Forward Citations = 7(Granted Patents)


Location History:

  • Leuven, BE (2019 - 2022)
  • Athens, GR (2023)

Company Filing History:


Years Active: 2019-2023

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4 patents (USPTO):

Title: The Innovative Contributions of Dimitrios Rodopoulos

Introduction

Dimitrios Rodopoulos is a notable inventor based in Leuven, Belgium. He has made significant contributions to the field of electronic circuit simulation and neural networks. With a total of four patents to his name, Rodopoulos has demonstrated a commitment to advancing technology through his innovative ideas.

Latest Patents

Rodopoulos's latest patents include a method for complexity-reduced simulation of circuit reliability. This system allows for the simulation of electronic circuits by creating a finite set of circuit or device parameter points within an n-dimensional parameter space. The method determines the corresponding response values of performance metrics and their probabilities of occurrence. Additionally, he has developed a convolution engine for neural networks. This method and hardware system facilitate the mapping of input maps of convolutional neural network layers to output maps, utilizing an array of processing elements to support unidirectional dataflows.

Career Highlights

Throughout his career, Dimitrios Rodopoulos has worked with esteemed organizations such as Imec Vzw and Katholieke Universiteit Leuven. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking research in his field.

Collaborations

Rodopoulos has collaborated with notable colleagues, including Francky Catthoor and Praveen Raghavan. These partnerships have further enriched his work and expanded the impact of his inventions.

Conclusion

Dimitrios Rodopoulos is a distinguished inventor whose work in electronic circuit simulation and neural networks has paved the way for future innovations. His patents reflect a deep understanding of complex systems and a dedication to enhancing technological capabilities.

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