Rajeev Kumar

US Patent:

20050042641, Feb 24, 2005

Filed:

May 25, 2004

Appl. No.:

10/854777

Inventors:

Vivek Mittal - Syosset NY, US
Rajeev Kumar - Great Falls MT, US

Assignee:

Cold Spring Harbor Laboratory - Cold Spring Harbor NY

International Classification:

C12Q001/68

US Classification:

435006000

Abstract:

In mammalian systems, RNA interference (RNAi)-based suppression of target gene expression may be activated by delivery of RNAi probes such as double stranded small interfering RNA (siRNA) molecules or short hairpin RNAs (shRNAs), where the RNAi probe sequence is homologous to the target gene. A reliable and quantitative method is provided for the rapid and efficient identification of RNAi probes that are most effective in providing RNAi-mediated suppression of target gene expression. This method may be used for high-throughput screens to identify effective RNAi probes.

US Patent:

20080300145, Dec 4, 2008

Filed:

Oct 30, 2007

Appl. No.:

11/981269

Inventors:

Vivek Mittal - Syosset NY, US
Rajeev Kumar - Great Falls MT, US

Assignee:

Cold Spring Harbor Laboratory - Cold Spring Harbor NY

International Classification:

C40B 30/06
C12Q 1/68

US Classification:

506 10, 435 6

Abstract:

In mammalian systems, RNA interference (RNAi)-based suppression of target gene expression may be activated by delivery of RNAi probes such as double stranded small interfering RNA (siRNA) molecules or short hairpin RNAs (shRNAs), where the RNAi probe sequence is homologous to the target-gene. A reliable and quantitative method is provided for the rapid and efficient identification of RNAi probes that are most effective in providing RNAi-mediated suppression of target gene expression. This method may be used for high-throughput screens to identify effective RNAi probes.

US Patent:

20220360973, Nov 10, 2022

Filed:

May 5, 2021

Appl. No.:

17/308970

Inventors:

- San Diego CA, US
Gavin Bernard HORN - La Jolla CA, US
Taesang YOO - San Diego CA, US
Tingfang JI - San Diego CA, US
Rajeev KUMAR - San Diego CA, US
Shankar KRISHNAN - San Diego CA, US
Eren BALEVI - San Diego CA, US
Aziz GHOLMIEH - Del Mar CA, US

International Classification:

H04W 8/24
H04W 76/25
H04B 7/06
G06N 20/00

Abstract:

This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for a UE capability for AI/ML. A UE may receive a request from a network to report a UE capability for at least one of an AI procedure or an ML procedure. The UE may transmit to the network, based on the request to report the UE capability, an indication of one or more of an AI capability, an ML capability, a radio capability associated with the at least one of the AI procedure or the ML procedure, or a core network capability associated with the at least one of the AI procedure or the ML procedure.

US Patent:

20220190990, Jun 16, 2022

Filed:

Dec 16, 2020

Appl. No.:

17/247574

Inventors:

- San Diego CA, US
Rajeev KUMAR - San Diego CA, US
Shankar KRISHNAN - San Diego CA, US
Taesang YOO - San Diego CA, US
Mutaz Zuhier Afif SHUKAIR - San Diego CA, US
Gavin Bernard HORN - La Jolla CA, US
Aziz GHOLMIEH - Del Mar CA, US
Luis Fernando Brisson LOPES - Swindon, GB

International Classification:

H04L 5/00
H04W 24/02
G06N 20/00
G06N 3/08

Abstract:

Various aspects of the present disclosure generally relate to wireless communication and training a model. In some aspects, a user equipment (UE) may receive, from a base station, configuration information for performing a BS-configured training procedure associated with optimizing a network parameter. The UE may perform the BS-configured training procedure based at least in part on the configuration information. Numerous other aspects are provided.

US Patent:

20230100253, Mar 30, 2023

Filed:

Sep 24, 2021

Appl. No.:

17/484580

Inventors:

- San Diego CA, US
Gavin Bernard HORN - La Jolla CA, US
Rajat PRAKASH - San Diego CA, US
Rajeev KUMAR - San Diego CA, US
Shankar KRISHNAN - San Diego CA, US
Taesang YOO - San Diego CA, US
Eren BALEVI - San Diego CA, US
Aziz GHOLMIEH - Del Mar CA, US

International Classification:

G06N 3/04
H04W 24/02

Abstract:

A method of wireless communication by a base station includes receiving a user equipment (UE) radio capability and a UE machine learning capability. The method also includes determining a neural network function (NNF) based on the UE radio capability. The method includes determining a neural network model. The neural network model includes a model structure and a parameter set, based on the NNF, the UE machine learning capability, and a capability of a network entity. The method also includes configuring the network entity with the neural network model.

US Patent:

20230088234, Mar 23, 2023

Filed:

Sep 17, 2021

Appl. No.:

17/478214

Inventors:

- San Diego CA, US
Xipeng Zhu - San Diego CA, US
Prasad Reddy Kadiri - San Diego CA, US
Rajeev Kumar - San Diego CA, US
Xiaoxia Zhang - San Diego CA, US

International Classification:

H04W 24/10
H04W 4/06
H04W 36/08

Abstract:

Methods, systems, and devices for wireless communication are described. A user equipment (UE) may receive control signaling indicating a measurement configuration for minimization of drive test measurement and reporting supporting broadcast receptions within a single-frequency network. The UE may determine, based at least in part on the measurement configuration, a set of measurements for the single-frequency network. The UE may transmit a minimization of drive test report indicating the set of measurements.

US Patent:

20230078374, Mar 16, 2023

Filed:

Sep 13, 2021

Appl. No.:

17/473892

Inventors:

- San Diego CA, US
Luis Fernando Brisson LOPES - Swindon, GB
Rajeev KUMAR - San Diego CA, US
Xipeng ZHU - San Diego CA, US
Ozcan OZTURK - San Diego CA, US
Rajat PRAKASH - San Diego CA, US

International Classification:

H04W 24/08
H04W 24/10
H04W 36/08
H04W 36/00

Abstract:

Aspects present herein relate to methods and devices for wireless communication including an apparatus, e.g., a UE and/or a base station. The apparatus may receive, from a base station, a logged measurement configuration including a PLMN ID and a NID, the logged measurement configuration further including at least one of a trace reference, a logging area, a MDT PLMN list, or a MDT NPN list. The apparatus may also store the PLMN ID and the NID based on the received logged measurement configuration. Additionally, the apparatus may compare the PLMN ID and the NID to an MDT SNPN list to identify if the PLMN ID and the NID are included in the MDT SNPN list. The apparatus may also transmit, to the base station, an availability indicator if the PLMN ID and the NID are included in the MDT SNPN list.

US Patent:

20230075276, Mar 9, 2023

Filed:

Sep 3, 2021

Appl. No.:

17/467156

Inventors:

- San Diego CA, US
Gavin Bernard Horn - La Jolla CA, US
Vanitha Aravamudhan Kumar - San Diego CA, US
Vishal Dalmiya - San Diego CA, US
Shankar Krishnan - San Diego CA, US
Rajeev Kumar - San Diego CA, US
Taesang Yoo - San Diego CA, US
Eren Balevi - San Diego CA, US
Aziz Gholmieh - Del Mar CA, US
Rajat Prakash - San Diego CA, US

International Classification:

H04L 12/24
H04W 88/08

Abstract:

Methods, systems, and devices for wireless communications are described. In some examples, a wireless communications system may support machine learning and may configure a user equipment (UE) for machine learning. The UE may transmit, to a base station, a request message that includes an indication of a machine learning model or a neural network function based at least in part on a trigger event. In response to the request message, the base station may transmit a machine learning model, a set of parameters corresponding to the machine learning model, or a configuration corresponding to a neural network function and may transmit an activation message to the UE to implement the machine learning model and the neural network function.