loadpatents
Patent applications and USPTO patent grants for Subrahmanya; Niranjan A..The latest application filed is for "hybrid computational materials fabrication".
Patent | Date |
---|---|
Automated seismic interpretation using fully convolutional neural networks Grant 11,119,235 - Liu , et al. September 14, 2 | 2021-09-14 |
Geophysical inversion with convolutional neural networks Grant 10,996,372 - Denli , et al. May 4, 2 | 2021-05-04 |
Adaptive PID controller tuning via deep reinforcement learning Grant 10,915,073 - Badgwell , et al. February 9, 2 | 2021-02-09 |
Automated well test validation Grant 10,480,305 - El-Bakry , et al. Nov | 2019-11-19 |
Hybrid Computational Materials Fabrication App 20190278880 - Ma; Ning ;   et al. | 2019-09-12 |
Adaptive Pid Controller Tuning Via Deep Reinforcement Learning App 20190187631 - Badgwell; Thomas A. ;   et al. | 2019-06-20 |
Automated Seismic Interpretation Using Fully Convolutional Neural Networks App 20190064378 - LIU; Wei D. ;   et al. | 2019-02-28 |
Geophysical Inversion with Convolutional Neural Networks App 20190064389 - DENLI; Huseyin ;   et al. | 2019-02-28 |
Automated Well Test Validation App 20170058659 - EL-BAKRY; Amr ;   et al. | 2017-03-02 |
Method for automatic control and positioning of autonomous downhole tools Grant 9,328,578 - Kumaran , et al. May 3, 2 | 2016-05-03 |
Method for Automatic Control and Positioning of Autonomous Downhole Tools App 20130255939 - Kumaran; Krishnan ;   et al. | 2013-10-03 |
Determining Interwell Communication App 20130110485 - Li; Weichang ;   et al. | 2013-05-02 |
uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.
While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.
All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.