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For the Inventor, By the Inventor

Leonberg, Germany

Christian Daniel

USPTO Granted Patents = 6

 

Average Co-Inventor Count = 3.7

ph-index = 1


Company Filing History:

goldMedal6 out of 29,302 
 
Robert Boschgmbh
 patents
silverMedal1 out of 1,288 
 
Max-planck-gesellschaft Zur Forderung Der Wissenschaften E.v.
 patents
where one patent can have more than one assignee

Years Active: 2021-2025

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):
1. 12455556 - Device and method for scheduling a set of jobs for a plurality of machines (2025-10-28),
2. 12158734 - Method and device for determining model parameters for a control strategy for a technical system with the aid of a Bayesian optimization method (2024-12-03),
3. 12020166 - Meta-learned, evolution strategy black box optimization classifiers (2024-06-25),
4. 11402808 - Configuring a system which interacts with an environment (2022-08-02),
5. 11261774 - Method for ascertaining a NOconcentration and a NHslip downstream from an SCR catalytic converter (2022-03-01),
6. 11093863 - Method for ascertaining a time characteristic of a measured variable, prediction system, actuator control system, method for training the actuator control system, training system, computer program, and machine-readable storage medium (2021-08-17),

Title: Christian Daniel: Innovator in Job Scheduling and Control Strategies

Introduction

Christian Daniel is a notable inventor based in Leonberg, Germany. He has made significant contributions to the fields of job scheduling and control strategies, holding a total of 6 patents. His innovative approaches leverage advanced technologies to optimize processes in technical systems.

Latest Patents

One of Christian's latest patents is a device and method for scheduling a set of jobs for a plurality of machines. This method defines each job by at least one feature that characterizes its processing time. When any of the machines is free, a job from the set is selected for execution. A Graph Neural Network plays a crucial role in this process by receiving input from the set of jobs and the current state of the free machine. The network outputs a reward for the set of jobs, guiding the selection of the job for the free machine based on its output.

Another significant patent involves a method and device for determining model parameters for a control strategy in a technical system using a Bayesian optimization method. This method focuses on creating a control strategy based on model parameters of a control model. It includes providing a quality function that evaluates the quality of control based on these parameters. The Bayesian optimization method is then employed to iteratively ascertain a model parameter set within permissible value ranges.

Career Highlights

Christian Daniel has worked with prominent organizations, including Robert Bosch GmbH and the Max Planck Society for the Advancement of Science. His experience in these esteemed institutions has contributed to his expertise in developing innovative solutions in his field.

Collaborations

Christian has collaborated with notable colleagues such as Edgar Klenske and Andreas Doerr. These partnerships have likely enriched his work and expanded the impact of his inventions.

Conclusion

Christian Daniel stands out as an inventor whose work in job scheduling and control strategies has the potential to transform technical systems. His innovative patents and collaborations reflect his commitment to advancing technology and optimizing processes.

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