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For the Inventor, By the Inventor

Jeddah, Saudi Arabia

Muhammad Moinuddin

USPTO Granted Patents = 24

Average Co-Inventor Count = 4.4

ph-index = 2

Forward Citations = 18(Granted Patents)


Company Filing History:

goldMedal24 out of 587 
 
King Abdulaziz University
 patents

Years Active: 2021-2023

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24 patents (USPTO):Explore Patents
1. 11657504 - System and method for computationally efficient artificial intelligence based point-of-care ultrasound imaging healthcare support (2023-05-23),
2. 11642067 - System and method for unsupervised adaptive threshold neurofeedback treatment (2023-05-09),
3. 11559232 - GRU based real-time mental stress assessment (2023-01-24),
4. 11483183 - Blind method of equalizing signals in filter bank multi-carrier communications (2022-10-25),
5. 11424906 - Secure encryption and decryption method and system (2022-08-23),
6. 11368349 - Convolutional neural networks based computationally efficient method for equalization in FBMC-OQAM system (2022-06-21),
7. 11356155 - Method of optimizing multi-cell association in downlink multi-user, multiple-input, multiple-output (MU-MIMO) systems via statistical beamforming (2022-06-07),
8. 11349206 - Robust linearly constrained minimum power (LCMP) beamformer with limited snapshots (2022-05-31),
9. 11348591 - Dialect based speaker identification (2022-05-31),
10. 11347190 - Method for robust liquid level control based on artificial time-delay control using IMC feedback (2022-05-31),
11. 11344248 - Wearable stress assessment system with EEG sensors (2022-05-31),
12. 11337639 - System for mental stress assessment (2022-05-24),
13. 11329705 - Low-complexity robust beamforming for a moving source (2022-05-10),
14. 11311220 - Deep learning model-based identification of stress resilience using electroencephalograph (EEG) (2022-04-26),
15. 11308627 - Method for 3D ultrasound reconstruction of supraspinatus (SSP) tendon (2022-04-19),

Title: Muhammad Moinuddin: Innovator in Healthcare Technology

Introduction

Muhammad Moinuddin is a distinguished inventor based in Jeddah, Saudi Arabia, with a remarkable portfolio of 24 patents. His innovative contributions primarily focus on advancements in healthcare technology, particularly leveraging artificial intelligence (AI) for improved diagnostic processes.

Latest Patents

Among his latest innovations, Moinuddin has developed a "System and method for computationally efficient artificial intelligence based point-of-care ultrasound imaging healthcare support." This system incorporates reduced computation for managing point-of-care ultrasound (POC ULS) imaging resources, utilizing a convolutional neural network (CNN) for denoising tissue reflection images. The efficient management allows for real-time visual rendering of ultrasound image data, significantly enhancing diagnostic capabilities in healthcare settings.

Additionally, he has patented a "System and method for unsupervised adaptive threshold neurofeedback treatment." This innovative approach involves receiving and storing EEG measurements of brain wave frequencies during neurofeedback training sessions. By automatically adjusting the reward threshold based on neuromarker values, this method offers a sophisticated way to enhance neurofeedback training, leading to potentially improved treatment outcomes for subjects.

Career Highlights

Moinuddin is currently affiliated with King Abdulaziz University, where he dedicates his expertise to advancing research in healthcare technologies. His strong focus on integrating AI into medical applications has placed him at the forefront of innovations in the field, making a significant impact on patient care and treatment methods.

Collaborations

Throughout his career, Moinuddin has collaborated with esteemed colleagues, including Ubaid M Al-Saggaf and Abdulrahman U Alsaggaf. These partnerships reflect a shared commitment to enhancing healthcare solutions through innovative technology and collaborative research efforts.

Conclusion

In summary, Muhammad Moinuddin stands out as a leading inventor, contributing significantly to healthcare technology through his patents and research. His work exemplifies the intersection of artificial intelligence and medical innovation, paving the way for future advancements that can transform patient care.

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