Mumbai, India

Kritika Lodha

This inventor holds 1 USPTO granted patent. Top assignee: Tata Consultancy Services Limited. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kritika Lodha. Retrieved from https://idiyas.com/inventor/kritika-lodha

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Kritika Lodha - Innovator in Vehicle Utilization and Optimization

Introduction

Kritika Lodha is a talented inventor based in Mumbai, India. She has made significant contributions to the field of vehicle utilization and optimization through her innovative patent. Her work focuses on leveraging machine learning to enhance transportation planning based on real-time conditions.

Latest Patents

Kritika holds a patent for a "Self-learning based mechanism for vehicle utilization and optimization." This invention addresses the lack of mechanisms for effective vehicle utilization and optimization through continuous and incremental planning. The system she developed utilizes a self-learning mechanism that dynamically associates users with vehicles based on previously learned patterns and real-time data. This innovative approach ensures optimal vehicle allocation while considering various social and vehicle constraints.

Career Highlights

Kritika is currently employed at Tata Consultancy Services Limited, where she applies her expertise in machine learning and optimization. Her work at TCS allows her to collaborate with other professionals in the field and contribute to cutting-edge projects.

Collaborations

Some of Kritika's coworkers include Pranav Champaklal Shah and Sudhakara Deva Poojary. Their collaboration fosters a creative environment that encourages innovation and the development of new ideas.

Conclusion

Kritika Lodha is a remarkable inventor whose work in vehicle utilization and optimization showcases the potential of machine learning in real-world applications. Her contributions are paving the way for more efficient transportation solutions.

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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