Lisbon, Portugal

Miguel Lourenco

This inventor holds 1 USPTO granted patent. Top assignee: Definedcrowd Corporation. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Miguel Lourenco. Retrieved from https://idiyas.com/inventor/miguel-lourenco

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


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Miguel Lourenco: Innovator in Automated Data Generation

Introduction

Miguel Lourenco is a prominent inventor based in Lisbon, Portugal. He has made significant contributions to the field of automated data generation and machine learning. His innovative approach combines technology and human input to optimize workflows in crowdsourcing systems.

Latest Patents

Miguel holds a patent for "Automated data generation, post-job validation and agreement voting using automatic results generation and humans-in-the-loop." This patent describes systems and methods that utilize machine learning to enhance the execution of micro-tasks. The system intelligently combines automatic decision-making with human involvement to generate annotated task instances. It computes the crowd effort required for data generation and validation, allowing for more efficient workflows.

Career Highlights

Miguel is currently employed at DefinedCrowd Corporation, where he continues to develop innovative solutions in the field of data generation. His work focuses on creating systems that leverage both machine learning and human expertise to improve task execution and validation processes.

Collaborations

Miguel collaborates with talented individuals such as Joao Freitas and Rui Correia, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Miguel Lourenco's contributions to automated data generation and machine learning exemplify the intersection of technology and human collaboration. His work continues to influence the efficiency of workflows in crowdsourcing systems, showcasing the potential of innovative solutions in today's digital landscape.

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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