Natick, MA, United States of America

Sergey Malinchik



Average Co-Inventor Count = 6.2

ph-index = 6

Forward Citations = 162(Granted Patents)


Company Filing History:


Years Active: 2006-2012

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6 patents (USPTO):Explore Patents

Title: The Innovative Mind of Sergey Malinchik

Introduction

Sergey Malinchik is a prominent inventor based in Natick, MA, known for his contributions to the field of evolutionary computing. With a total of six patents to his name, Malinchik has made significant strides in developing methods and systems that enhance the understanding and application of genetic operators in various systems.

Latest Patents

Among his latest patents, one notable invention is titled "Methods and systems for applying genetic operators to determine systems conditions." This patent discloses innovative methods and systems that involve generating a population of genotypes based on stimuli to a system. It also includes measuring responses from the system and applying genetic operators to optimize the population of genotypes iteratively. Another significant patent is "Methods and systems for interactive evolutionary computing (IEC)." This invention outlines a process where candidate molecules are generated based on an evolutionary scheme, allowing user input to refine and update the set of candidate molecules continuously.

Career Highlights

Sergey Malinchik is currently associated with Icosystem Corporation, where he applies his expertise in evolutionary computing to drive innovation. His work focuses on creating systems that leverage genetic algorithms to solve complex problems in various domains.

Collaborations

Throughout his career, Malinchik has collaborated with notable professionals in the field, including Eric Bonabeau and Carl Anderson. These collaborations have further enriched his research and development efforts, leading to groundbreaking advancements in evolutionary computing.

Conclusion

Sergey Malinchik's contributions to the field of evolutionary computing through his patents and innovative methods have positioned him as a key figure in the industry. His work continues to influence the development of systems that utilize genetic algorithms for improved performance and adaptability.

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