Centurion Patentors as of November 12, 2024

Ning Bi

VP of Engineering at Qualcomm Technologies, Inc.

Patent №: 12142084 (November 12, 2024) – Apparatus and methods for spoofing detection using machine learning processes.

This system analyzes spoofed images with a trained convolutional neural network (CNN) that generates intensity values. Based on these values, the system identifies spoofing and stores the result.

Sandeep Kumar Chauhan

Innovative technology leader with a Ph.D. in Computer Science and over two decades of IT experience in Banking, Payment, and Retail Systems.

Patent №: 12142268 (November 12, 2024) – Multicomputer system providing voice enabled event processing.

This voice-enabled system allows a self-service kiosk to connect with a user’s mobile device, receive a spoken request, process it, and execute commands to complete actions like distributing funds or activating a deposit slot.

Serge Francois Drogi

C.T.O. at Quantance, Inc.

Patent №: 12143132 (November 12, 2024) – Power amplifier systems with non-linear antenna impedance for load compensation.

This system uses non-linear antenna impedance to compensate for load changes in a power amplifier as signal power varies during RF transmission in a mobile device.

Patent №: 12143069 (November 12, 2024) – Multi-level envelope tracking systems with adjusted voltage steps. This multi-level envelope tracking system includes two power amplifiers for amplifying RF signals, each powered by a modulated supply voltage based on their respective envelope signals. An envelope tracker adjusts these voltages through modulators and a switching circuit that adapts voltage levels based on RF power.

Nalini Kanta Ratha

Research Staff Member at the IBM Thomas J. Watson Research Center, Yorktown Heights, New York.

Nalini K. Ratha led the research effort in enhancing the security of biometrics systems and performance evaluation. He focuses on extending the techniques to build robust and trustworthy AI systems. 

Patent №: 12143465 (November 12, 2024) – Searching over encrypted model and encrypted data using secure single-and multi-party learning based on encrypted data. This disclosure describes creating and training ML models using encrypted (FHE) data from users, where each FHE domain corresponds to a specific user. The trained models perform inference using additional encrypted user data to produce results. Based on these results, the system checks for objectionable content or unauthorized data release by the models and takes corrective actions if needed.

Philipp Helle

Philipp Helle received a Dipl.-Ing. degree in computer engineering from the Technical University of Berlin, Berlin, Germany, in 2009.

From 2004 to 2008, he worked for MikroM—Mikroelektronik für Multimedia GmbH, Berlin, designing software and hardware components for digital cinema video decoders.

Since 2008, Philipp has been with Video Coding and Analytics Group, Fraunhofer Institute for Telecommunications—Heinrich Hertz Institute, Berlin. His current research interests include video coding and machine learning.

Patent №: 12143591 (November 12, 2024) – Multi-hypothesis prediction. This video encoder encodes video into a data stream using motion-compensated prediction for inter-predicted blocks. It includes a hypothesis number control to manage the number of prediction hypotheses within a specific video segment to meet a set criterion.

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Angelina Kushnarova

Angelina Kushnarova (Sverediuk) was born in Ukraine. She graduated from Ternopil Medical University with a specialization in Medicine and completed an internship in Radiology at Lviv University. She worked as a Radiologist, while also working as a web developer.

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