Mallikarjuna Munugoti

Title: Innovations by Mallikarjuna Munugoti

Introduction

Mallikarjuna Munugoti is an accomplished inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of industrial process automation and control systems. With a total of 2 patents, his work focuses on leveraging machine learning to enhance the efficiency and effectiveness of industrial operations.

Latest Patents

Mallikarjuna's latest patents include innovative systems and methods for controlling industrial process automation. One of his notable inventions is the "Automatic extraction of assets data from engineering data sources." This patent describes how machine learning models can automatically extract plant assets from engineering diagrams and other data sources. The system establishes asset relationships to create a comprehensive plant asset registry and build an asset hierarchy. Additionally, it generates an ontological knowledge base for controlling industrial processes based on this hierarchy.

Another significant patent is the "Distribution of asset model runtime data." This method manages the availability of runtime asset data used by client applications in industrial systems. It involves distributing runtime asset data among various workstations and ensuring that locally stored data is periodically updated to maintain accuracy.

Career Highlights

Mallikarjuna Munugoti is currently employed at Schneider Electric Systems USA, Inc. His role involves developing advanced solutions that integrate machine learning with industrial automation. His expertise in this area has positioned him as a key player in enhancing operational efficiencies within the industry.

Collaborations

Mallikarjuna has collaborated with several professionals in his field, including Sameer Kondejkar and James McIntyre. These collaborations have contributed to the successful development and implementation of innovative solutions in industrial automation.

Conclusion

Mallikarjuna Munugoti's contributions to industrial process automation through his patents demonstrate his commitment to innovation and excellence. His work continues to influence the field, paving the way for more efficient industrial operations.