Vijay Desai
15Patents
6h-index
30Co-inventors
62Inventor score
Filing activity: Sep 6, 2007 → Nov 15, 2021
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US8015133B1 | Computer-implemented modeling systems and methods for analyzing and predicting computer network intrusions | Electricity | 275 | Active |
| US8805737B1 | Computer-implemented multiple entity dynamic summarization systems and methods | Physics | 96 | Active |
| US8346691B1 | Computer-implemented semi-supervised learning systems and methods | Physics | 38 | Active |
| US10452441B1 | Determining an allocation of computing resources for a job | Physics | 20 | Active |
| US9231979B2 | Rule optimization for classification and detection | Electricity | 13 | Active |
| US10127125B2 | Application monitoring and failure prediction | Physics | 10 | Active |
| US8768866B2 | Computer-implemented systems and methods for forecasting and estimation using grid regression | Physics | 4 | Active |
| US11392843B2 | Utilizing a machine learning model to predict a quantity of cloud resources to allocate to a customer | Electricity | 3 | Active |
| US11175953B2 | Determining an allocation of computing resources for a job | Physics | 2 | Active |
| US10771562B2 | Analyzing device-related data to generate and/or suppress device-related alerts | Electricity | 2 | Active |
| US8190512B1 | Computer-implemented clustering systems and methods for action determination | Physics | 1 | Active |
| US11314542B2 | Prescriptive analytics based compute sizing correction stack for cloud computing resource scheduling | Physics | 0 | Active |
| US10719344B2 | Prescriptive analytics based compute sizing correction stack for cloud computing resource scheduling | Physics | 0 | Active |
| US11836578B2 | Utilizing machine learning models to process resource usage data and to determine anomalous usage of resources | Physics | 0 | Active |
| US11967165B2 | Artificial intelligence (AI) based document processing and validation | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.