Vivek R Kumar

US Patent:

20220347193, Nov 3, 2022

Filed:

Apr 27, 2022

Appl. No.:

17/730358

Inventors:

- Newark NJ, US
Arun Reddy Ravula - Newark NJ, US
Namas Chandra - Newark NJ, US
Venkata Kakulavarapu RamaRao - Newark NJ, US
Vivek Kumar - Newark NJ, US
Zain Siddiqui - Paterson NJ, US

Assignee:

New Jersey Institute of Technology - Newark NJ

International Classification:

A61K 31/65
A61K 9/16
A61K 47/60
A61P 27/16
A61P 25/28
A61K 47/69
A61K 47/64

Abstract:

A composition, and method for a targeted drug delivery is disclosed in treating central nervous system injury, including blast hearing loss, traumatic brain injury (TBI) and the like, by administering a subject with nanoparticle-based minocycline formulations. The formulation contains nanoparticles encapsulating minocycline for neuroprotective effect in TBI. Albumin nanoparticle-based minocycline formulations provide enhanced delivery to brain, and reduced toxicity at minimal dosage for treating a subject suffering from central nervous system injury including blast induced traumatic brain injury (bTBI). Nanoparticle administered at minimal dose in rat blast TBI model crossed blood-brain barrier (BBB) and enhanced therapeutic concentration compared to free minocycline. Provided is an effective and safe minocycline delivery in TBI with minimal or no toxicity for neuroprotective therapy. Studies indicate performance for behavioral (acute and chronic), pathological (chronic) and hearing loss mitigation using the disclosed drug and nanoparticles in rat moderate bTBI model.

US Patent:

20220335925, Oct 20, 2022

Filed:

Aug 18, 2020

Appl. No.:

17/636851

Inventors:

- San Francisco, US
Xiaoyu LIU - San Mateo CA, US
Michael Getty HORGAN - San Francisco CA, US
Vivek Kumar - Foster City CA, US

Assignee:

DOLBY LABORATORIES LICENSING CORPORATION - San Francisco CA

International Classification:

G10L 13/033
G10L 13/047

Abstract:

Novel methods and systems for adapting a voice cloning synthesizer for a new speaker using real speech data are disclosed. Utterances from one or more target speakers are parameterized and are used to initialize an embedding vector for use with a voice synthesizer, by means of clustering the utterance data and determining the centroid of the data, using a speaker identification neural network, and/or by finding the closest stored embedded vector to the utterance data.

US Patent:

20220245506, Aug 4, 2022

Filed:

Jan 30, 2021

Appl. No.:

17/163396

Inventors:

- Bentonville AR, US
Adrian Sonjong Yi - San Francisco CA, US
Peng Yang - San Jose CA, US
Valeriy Pelyushenko - San Jose CA, US
Haibo Yan - San Bruno CA, US
Vivek Kumar - Bellevue WA, US
Jayanth Korlimarla - Sunnyvale CA, US
Rajesh Garigipati - Dublin CA, US

International Classification:

G06N 20/00
G06F 16/903

Abstract:

Systems and methods for selecting items from a pool of items based on comparisons of composite embeddings are disclosed. A first initial embedding is obtained from a first database for each item in a pool of items and a second initial embedding is obtained from a second database for each item in the pool of items. The first initial embedding is generated using a first embedding model and the second initial embedding is generated using a second embedding model. A first composite embedding is generated for each item in the pool of items comprising the first initial embedding and the second initial embedding; and compare the first composite embedding for each item in the pool of items to a first anchor embedding, wherein the first anchor embedding comprises a first initial anchor embedding generated using the first embedding model and a second initial anchor embedding generated using the second embedding model.

US Patent:

20210244173, Aug 12, 2021

Filed:

Jun 7, 2019

Appl. No.:

16/972954

Inventors:

- New Brunswick NJ, US
Vivek Ashok Kumar - Newark NJ, US

International Classification:

A46B 15/00
A46B 9/04
A46B 13/02
A46B 5/00
A61C 17/08
A61C 17/12
A61C 17/22

Abstract:

A suction assembly, toothbrush, and method are provided that suction fluids and debris resulting from brushing. The suction assembly includes a housing configured to couple to the toothbrush so that a portion extends around sides and a back of the toothbrush head and is spaced from the toothbrush head by a gap. The suction assembly further includes a vacuum pump, a collection reservoir, and one or more conduits that couple the vacuum pump, suction head portion, and collection reservoir to apply a suction around the toothbrush head through the gap and deposit suctioned material in the collection reservoir.

US Patent:

20210082444, Mar 18, 2021

Filed:

Apr 10, 2019

Appl. No.:

17/046284

Inventors:

- San Francisco CA, US
Grant A. DAVIDSON - Burlingame CA, US
Chih-Wei WU - San Francisco CA, US
Vivek KUMAR - Foster City CA, US

Assignee:

Dolby Laboratories Licensing Corporation - San Francisco CA

International Classification:

G10L 19/022
G06F 3/16
G06N 3/08
G06N 3/04

Abstract:

Computer-implemented methods for training a neural network, as well as for implementing audio encoders and decoders via trained neural networks, are provided. The neural network may receive an input audio signal, generate an encoded audio signal and decode the encoded audio signal. A loss function generating module may receive the decoded audio signal and a ground truth audio signal, and may generate a loss function value corresponding to the decoded audio signal. Generating the loss function value may involve applying a psychoacoustic model. The neural network may be trained based on the loss function value. The training may involve updating at least one weight of the neural network.

US Patent:

20200405737, Dec 31, 2020

Filed:

Apr 13, 2020

Appl. No.:

16/846976

Inventors:

- Cambridge MA, US
- Summit NJ, US
Jorge Dimartino - Belmont CA, US
Vivek Saroj Kumar Chopra - South San Francisco CA, US
Kyle J. Macbeth - San Francisco CA, US
Robert Douglas Knight - Berkeley Heights NJ, US
Laurie Kenvin - New Hope PA, US
Qiang Xu - Basking Ridge NJ, US

International Classification:

A61K 31/706
A61K 31/444
A61K 45/06
A61P 35/02

Abstract:

Provided are methods and compositions for treating cancers in patients carrying an IDH1 mutation using a combination of an inhibitor of a mutant IDH1 enzyme and a DNA demethylating agent.

US Patent:

20200410976, Dec 31, 2020

Filed:

Feb 14, 2019

Appl. No.:

16/969950

Inventors:

- San Francisco CA, US
Michael Getty HORGAN - San Francisco CA, US
Vivek KUMAR - Foster City CA, US
Jaime H. MORALES - Alameda CA, US
Cristina Michel VASCO - Austin TX, US

Assignee:

DOLBY LABORATORIES LICENSING CORPORATION - San Francisco CA

International Classification:

G10L 13/02
G10L 25/30
G06F 40/42
G06N 3/08
G06N 3/04

Abstract:

Computer-implemented methods for speech synthesis are provided. A speech synthesizer may be trained to generate synthesized audio data that corresponds to words uttered by a source speaker according to speech characteristics of a target speaker. The speech synthesizer may be trained by time-stamped phoneme sequences, pitch contour data and speaker identification data. The speech synthesizer may include a voice modeling neural network and a conditioning neural network.

US Patent:

20190355001, Nov 21, 2019

Filed:

Nov 21, 2018

Appl. No.:

16/197376

Inventors:

VIVEK KUMAR - murrysville PA, US
DEEPENDRA TEWARI - GHAZIABAD, IN
ASHIMA SOOD - LUDHIANA, IN

International Classification:

G06Q 30/02
H04W 60/00
G06Q 30/00
G06Q 50/12

Abstract:

In one aspect, a computerized process useful for integrating a feedback gathering mechanism into a captive-portal system provided over a radio wireless local area network, includes the step of detecting a user's computing device is connected to the captive-portal system of the radio wireless local area network. The process includes the step of providing a feedback form as an over a captive portal to the user's computing device. The feedback form comprises a set of multiple-choice questions answerable by a user. The process includes the step of linking the multiple-choice questions in a way such that the choice of answer for a question at any stage decides a subsequent question. The process includes the step of implicitly tying the multiple-choice questions to a specified set of categories.