Ann Arbor, MI, United States of America

Michael John Cafarella

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: University of Michigan. Active years: 2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael John Cafarella. Retrieved from https://idiyas.com/inventor/michael-john-cafarella

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2019

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2 patents (USPTO):Explore Patents

Title: Michael John Cafarella: Innovator in Hardware Acceleration and Pattern Detection

Introduction

Michael John Cafarella is a notable inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of hardware acceleration and pattern detection, holding a total of 2 patents. His work focuses on enhancing the efficiency of data querying and symbol pattern recognition.

Latest Patents

Cafarella's latest patents include innovative technologies that improve the performance of data processing. One of his patents, titled "Querying Input Data," describes a hardware accelerator designed to perform queries on indexed text log files. This invention utilizes multiple hardware execution units, known as text engines, which execute partial query programs on the same set of input data. These programs can switch between different query algorithms, optimizing the querying process on a per-character basis. The hardware execution units also support a number match program instruction, which identifies numeric variables and determines their values within a character sequence.

Another significant patent is focused on "Detecting at Least One Predetermined Pattern in Stream of Symbols." This apparatus features pattern matching circuitry that detects instances of predetermined symbol patterns within a subject stream. The encoding circuitry generates an encoded stream from the input stream, mapping consecutive repetitions of patterns to a single instance in the encoded stream, along with a repetition indicator. This innovation enhances the efficiency of processing symbol streams.

Career Highlights

Cafarella is affiliated with the University of Michigan, where he continues to advance his research and development in hardware technologies. His work has garnered attention for its practical applications in data processing and analysis.

Collaborations

Throughout his career, Cafarella has collaborated with esteemed colleagues, including Thomas Friedrich Wenisch and Vaibhav Gogte. These partnerships have contributed to the development of cutting-edge technologies in their respective fields.

Conclusion

Michael John Cafarella stands out as an influential inventor whose work in hardware acceleration and pattern detection has the potential to transform data processing methodologies. His contributions are significant in advancing technology and improving efficiency in various applications.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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