Haifa, Israel

Michael Veksler


Average Co-Inventor Count = 1.9

ph-index = 2

Forward Citations = 30(Granted Patents)


Location History:

  • Zichron Ya'akov, IL (2008)
  • Haifa, IL (2006 - 2013)

Company Filing History:


Years Active: 2006-2013

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3 patents (USPTO):

Title: Michael Veksler: Innovator in Computerized Environments

Introduction

Michael Veksler is a notable inventor based in Haifa, Israel. He has made significant contributions to the field of computer science, particularly in the representation of numeric values and constraint satisfaction problems. With a total of 3 patents, Veksler's work showcases his innovative approach to complex computational challenges.

Latest Patents

One of Veksler's latest patents is titled "Representation of a set of numeric values in a computerized environment." This invention involves a data structure that represents numeric values using a graph with a root and leaves. The structure allows for the representation of a mask that corresponds to a set of values, facilitating the modeling of numeric limitations. Another significant patent is "Conditional CSP solving using constraint propagation." This method defines a conditional constraint satisfaction problem (CondCSP) that characterizes a target system through problem variables and constraints. The innovative approach allows for the effective modeling and solving of complex systems.

Career Highlights

Michael Veksler is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to further develop his innovative ideas and contribute to cutting-edge technology in the industry.

Collaborations

Some of Veksler's notable coworkers include Felix Geller and Mati Joshua. Their collaboration in various projects has likely contributed to the advancement of their respective fields.

Conclusion

Michael Veksler's contributions to the field of computer science through his patents and work at IBM highlight his role as an influential inventor. His innovative approaches to numeric representation and constraint satisfaction problems continue to impact the industry positively.

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