Harshit Kumar
18Patents
1h-index
54Co-inventors
49Inventor score
Filing activity: Feb 12, 2016 → Jan 26, 2024
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US11502894B2 | Predicting performance of a network order fulfillment system | Electricity | 2 | Active |
| US11645188B1 | Pull request risk prediction for bug-introducing changes | Physics | 1 | Active |
| US11544478B2 | Generating dialog system workspaces | Physics | 1 | Active |
| US11423219B2 | Generation and population of new application document utilizing historical application documents | Physics | 1 | Active |
| US11409593B1 | Discovering insights and/or resolutions from collaborative conversations | Physics | 1 | Active |
| US10560536B2 | Simplifying user interactions with decision tree dialog managers | Electricity | 1 | Active |
| US12001785B2 | Mining multi-party collaboration platforms to create triaging trees and playbooks | Physics | 0 | Active |
| US10055332B2 | Variable detection in source code to reduce errors | Physics | 0 | Active |
| US12282476B1 | Determination of hierarchical codes | Physics | 0 | Active |
| US12287696B1 | Dynamically adjusting observability based on real-time performance | Physics | 0 | Active |
| US11816437B2 | Automatical process application generation | Physics | 0 | Active |
| US12314291B1 | Lossless compression of system log information | Physics | 0 | Active |
| US10936801B2 | Automated electronic form generation with context cues | Physics | 0 | Active |
| US11829338B2 | Unlabeled log anomaly continuous learning | Physics | 0 | Active |
| US12277025B2 | Dynamic alert suppression policy management | Physics | 0 | Active |
| US11645563B2 | Data filtering with fuzzy attribute association | Physics | 0 | Active |
| US11816080B2 | Severity computation of anomalies in information technology operations | Physics | 0 | Active |
| US11874730B2 | Identifying log anomaly resolution from anomalous system logs | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.