Dresden, Germany

Rainer Gemulla


Average Co-Inventor Count = 3.2

ph-index = 2

Forward Citations = 36(Granted Patents)


Location History:

  • Dresden, DE (2009 - 2012)
  • Saarbruecken, DE (2014 - 2015)

Company Filing History:


Years Active: 2009-2015

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6 patents (USPTO):Explore Patents

Title: Rainer Gemulla: Innovator in Optimization Technologies

Introduction

Rainer Gemulla is a prominent inventor based in Dresden, Germany. He has made significant contributions to the field of optimization technologies, holding a total of 6 patents. His work focuses on developing systems and methods that enhance the efficiency of processing optimization problems.

Latest Patents

Among his latest patents, Rainer has developed systems and methods for large-scale randomized optimization for problems with decomposable loss functions. These innovations involve processing optimization problems using loss functions, where a loss function is decomposed into at least one stratum loss function. The approach allows for a decrease in loss for each stratum loss function to a predefined threshold individually using gradient descent. Furthermore, the overall loss is reduced to a predefined threshold for the loss function by appropriately ordering the processing of the strata and allocating suitable processing time in each stratum. Other embodiments and aspects of these methods are also described in his patents.

Career Highlights

Rainer Gemulla is currently associated with the International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to leverage his expertise in optimization technologies and contribute to innovative solutions in the industry.

Collaborations

Rainer has collaborated with notable colleagues, including Peter Haas and John Sismanis. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Rainer Gemulla's contributions to optimization technologies through his patents and collaborations highlight his role as a key innovator in the field. His work continues to influence advancements in processing optimization problems, showcasing the importance of innovation in technology.

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