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For the Inventor, By the Inventor

Cary, NC, United States of America

Mahesh V Joshi

This inventor holds 15 USPTO granted patents, primarily in Forecasting Techniques. Top assignee: Sas Institute Inc.. Active years: 2011-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mahesh V Joshi. Retrieved from https://idiyas.com/inventor/mahesh-v-joshi

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

Calculating rank
USPTO Granted Patents = 15

% Patents Active = 100.0

Average Co-Inventor Count = 2.4

ph-index = 5

Forward Citations = 120(Granted Patents)


Company Filing History:

goldMedal15 out of 810 
 
Sas Institute Inc.
 patents

Years Active: 2011-2025

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Areas of Expertise:
ARIMA Models
Outlier Detection
Distributed Estimation
Forecast Reconciliation
Compound Probability Distribution
Hierarchical Modeling
Empirical Samples
Data Processing
Visual Forecasting
Scalable Parallel Processing
Paginated Search Results
Product Attribute Estimation
15 patents (USPTO):Explore Patents
1. 12380369 - Hyperparameter tuning in autoregressive integrated moving average (ARIMA) models (2025-08-05),
2. 12340445 - Hierarchical modeling node for visual forecasting (2025-06-24),
3. 12298963 - Optimized hampel filtering for outlier detection (2025-05-13),
4. 12282753 - External-language execution node for visual forecasting (2025-04-21),
5. 10664555 - Two-stage distributed estimation system (2020-05-26),
6. 10565085 - Two-stage distributed estimation system (2020-02-18),
7. 10325008 - Techniques for estimating compound probability distribution by simulating large empirical samples with scalable parallel and distributed processing (2019-06-18),
8. 10019411 - Techniques for compressing a large distributed empirical sample of a compound probability distribution into an approximate parametric distribution with scalable parallel processing (2018-07-10),
9. 9928320 - Techniques for estimating compound probability distribution by simulating large empirical samples with scalable parallel and distributed processing (2018-03-27),
10. 9665669 - Techniques for estimating compound probability distribution by simulating large empirical samples with scalable parallel and distributed processing (2017-05-30),
11. 9563725 - Techniques for estimating compound probability distribution by simulating large empirical samples with scalable parallel and distributed processing (2017-02-07),
12. 8489622 - Computer-implemented systems and methods for providing paginated search results from a database (2013-07-16),
13. 8364517 - Computer-implemented systems and methods for forecast reconciliation (2013-01-29),
14. 8112302 - Computer-implemented systems and methods for forecast reconciliation (2012-02-07),
15. 8065203 - Computer-implemented systems and methods for product attribute estimations (2011-11-22),

Title: Mahesh V Joshi: Innovator in Forecasting Technologies

Introduction

Mahesh V Joshi is a prominent inventor based in Cary, NC (US), known for his significant contributions to forecasting technologies. With a total of 15 patents to his name, he has made remarkable advancements in the field of time series analysis and modeling.

Latest Patents

Among his latest patents is a system and method for hyperparameter tuning in autoregressive integrated moving average (ARIMA) models. This innovative approach involves tuning hyperparameters using a derivative-free method, which includes determining initial hyperparameter values, fitting an ARIMA model, and selecting a tuning method. The process computes objective function values from time-series data and determines when to stop tuning based on specific criteria. Another notable patent is for a hierarchical modeling node for visual forecasting. This system generates a graphical user interface (GUI) that allows users to define a time series hierarchy and customize level pipelines for each hierarchy level. The system executes these pipelines to generate multiple forecasts and reconciles them to produce visualizations of the results.

Career Highlights

Mahesh currently works at SAS Institute Inc., a leading company in analytics and business intelligence. His work focuses on enhancing forecasting methodologies and improving the accuracy of predictive models. His innovative contributions have positioned him as a key figure in the field of data science and analytics.

Collaborations

Throughout his career, Mahesh has collaborated with notable professionals, including Michele Angelo Trovero and Richard Potter. These collaborations have further enriched his work and contributed to the development of advanced forecasting solutions.

Conclusion

Mahesh V Joshi's innovative work in forecasting technologies and his numerous patents highlight his expertise and dedication to advancing the field. His contributions continue to influence the way time series data is analyzed and utilized in various applications.

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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