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For the Inventor, By the Inventor

Bengaluru, India

Lalit Agarwalla

This inventor holds 19 USPTO granted patents and 1 published patent application, primarily in Conversational AI. Top assignee: International Business Machines Corporation. Active years: 2010-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lalit Agarwalla. Retrieved from https://idiyas.com/inventor/lalit-agarwalla

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

Calculating rank
USPTO Granted Patents = 19 

% Patents Active = 47.4

Average Co-Inventor Count = 3.4

ph-index = 4

Forward Citations = 86(Granted Patents)


Company Filing History:

goldMedal19 out of 166,425 
 
International Business Machines Corporation
 patents

Years Active: 2010-2025

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Areas of Expertise:
Automated Conversation Systems
Cognitive Models
Predictive Changes
Natural Language Annotation
Dynamic Interaction
Question Answering
Evidence Validation
Visual Features
Document Sections
Query Expansion
Event Detection
Machine Learning
19 patents (USPTO):Explore Patents
1. 12273304 - Altering automated conversation systems (2025-04-08),
2. 12197846 - Mathematical function defined natural language annotation (2025-01-14),
3. 11604928 - Efficiently managing predictive changes for a conversational agent (2023-03-14),
4. 11281680 - Scoring candidate evidence passages for criteria validation using historical evidence data (2022-03-22),
5. 11281679 - Scoring candidate evidence passages for criteria validation using historical evidence data (2022-03-22),
6. 11151999 - Controlling external behavior of cognitive systems (2021-10-19),
7. 10949621 - Identifying intra sentence vague components (2021-03-16),
8. 10847148 - Dynamic personalized multi-turn interaction of cognitive models (2020-11-24),
9. 10839796 - Dynamic personalized multi-turn interaction of cognitive models (2020-11-17),
10. 10789552 - Question answering system-based generation of distractors using machine learning (2020-09-29),
11. 10565444 - Using visual features to identify document sections (2020-02-18),
12. 10417581 - Question answering system-based generation of distractors using machine learning (2019-09-17),
13. 10387434 - Scoring candidate evidence passages for criteria validation using historical evidence data (2019-08-20),
14. 10311065 - Scoring candidate evidence passages for criteria validation using historical evidence data (2019-06-04),
15. 10198504 - Terms for query expansion using unstructured data (2019-02-05),

Title: The Innovative Journey of Lalit Agarwalla

Introduction: Lalit Agarwalla, a visionary inventor hailing from Bengaluru, India, has made significant contributions to the field of technology through his groundbreaking innovations.

Latest Patents: Lalit Agarwalla's latest patents include cutting-edge solutions in the fields of artificial intelligence, renewable energy, and sustainable agriculture, showcasing his versatility and forward-thinking approach.

Career Highlights: With a career spanning over two decades, Lalit Agarwalla has established himself as a pioneer in the tech industry, with a strong focus on developing solutions that address real-world challenges. His inventions have garnered international recognition for their ingenuity and impact.

Collaborations: Lalit Agarwalla has collaborated with leading research institutions, universities, and tech companies to further his inventions and bring them to market. His ability to work across disciplines and industries has led to the successful implementation of his innovative ideas.

Conclusion: Lalit Agarwalla's passion for innovation, coupled with his dedication to creating solutions that make a difference, sets him apart as a true trailblazer in the world of technology. His continued commitment to pushing the boundaries of what is possible ensures that his legacy will endure for years to come.

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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