Prabhdeep Singh
44Patents
6h-index
45Co-inventors
69Inventor score
Filing activity: Apr 5, 2004 → Mar 4, 2024
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US8103662B2 | Knowledge archival and recollection systems and methods | Electricity | 95 | Active |
| US10963231B1 | Using artificial intelligence to select and chain models for robotic process automation | Physics | 79 | Active |
| US8219531B2 | Knowledge archival and recollection systems and methods | Electricity | 23 | Active |
| US7801905B1 | Knowledge archival and recollection systems and methods | Physics | 14 | Active |
| US10361981B2 | Automatic extraction of commitments and requests from communications and content | Electricity | 11 | Active |
| US8078571B2 | Knowledge archival and recollection systems and methods | Electricity | 7 | Active |
| US11301269B1 | Determining sequences of interactions, process extraction, and robot generation using artificial intelligence / machine learning models | Physics | 6 | Active |
| US11440201B2 | Artificial intelligence-based process identification, extraction, and automation for robotic process automation | Physics | 5 | Active |
| US11347613B2 | Inserting probabilistic models in deterministic workflows for robotic process automation and supervisor system | Physics | 5 | Active |
| US11170293B2 | Multi-model controller | Physics | 4 | Active |
| US11340917B2 | Determining sequences of interactions, process extraction, and robot generation using artificial intelligence / machine learning models | Physics | 3 | Active |
| US11571811B2 | Process evolution for robotic process automation and workflow micro-optimization | Physics | 3 | Active |
| US10474950B2 | Training and operation of computational models | Physics | 2 | Active |
| US11488015B2 | Artificial intelligence layer-based process extraction for robotic process automation | Physics | 2 | Active |
| US10956433B2 | Performing an operation relative to tabular data based upon voice input | Physics | 2 | Active |
| US11782739B2 | Determining sequences of interactions, process extraction, and robot generation using artificial intelligence / machine learning models | Physics | 1 | Active |
| US10579423B2 | Resource scheduling using machine learning | Physics | 0 | Active |
| US11893371B2 | Using artificial intelligence to select and chain models for robotic process automation | Physics | 0 | Active |
| US12263593B2 | Process evolution for robotic process automation and workflow micro-optimization | Physics | 0 | Active |
| US11734066B2 | Resource scheduling using machine learning | Physics | 0 | Active |
| US11836626B2 | Artificial intelligence layer-based process extraction for robotic process automation | Physics | 0 | Active |
| US10318864B2 | Leveraging global data for enterprise data analytics | Physics | 0 | Active |
| US12147898B2 | Artificial intelligence layer-based process extraction for robotic process automation | Physics | 0 | Active |
| US11803397B2 | Determining sequences of interactions, process extraction, and robot generation using artificial intelligence / machine learning models | Physics | 0 | Active |
| US11815880B2 | Human-in-the-loop robot training for robotic process automation | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.