David Wei Wang

7721278, May 18, 2010

May 27, 2005

11/140192

Bilal Alam - Sammamish WA, US
Erik B. Olson - Sammamish WA, US
Anil K. Ruia - Issaquah WA, US
Michael D. Volodarsky - Seattle WA, US
David Wang - Issaquah WA, US
Jaroslav Dunajsky - Redmond WA, US

Microsoft Corporation - Redmond WA

G06F 9/44
G06F 9/45
G06F 3/00

717167, 717131, 719332

Methods are provided for utilizing a modular server architecture for processing requests for services, such as authorization and authentication, in a web server. The modular server architecture includes self-contained modular components that can be plugged in and out of the web server, as needed, to provide requested web services. The modular server architecture is also extensible in that it provides set of server APIs for processing requests for supporting built-in server functionality as well as functionality provided by third party modular components. The modular server architecture also supports the integration of request processing tasks for both native and managed modular components, such as ASP. NET modules, by virtue of a managed module host component. The modular server architecture also optimizes server performance by only providing modular component functionality when needed.

20190339751, Nov 7, 2019

May 2, 2018

15/969634

- Redmond WA, US
David WANG - Redmond WA, US

G06F 1/20
G05B 15/02
G05D 22/02
G05D 7/06
G05D 23/19

A server testing apparatus that exposes an operating server to a configured fluid flow rate (e.g., airflow) and temperature. After the server is docked within the server testing apparatus, a software load is applied to the server to mimic actual operation in the target environment. Then, fluid flow is applied into the inlet of the server at a designated flowrate and temperature. By testing the server for both fluid flowrate as well as temperature in a single apparatus at the same time, significant time may be saved. This is due largely to the fact that the server testing takes significant time to ensure that the server can operate long term in the environment in which that server or similar servers may be installed. Furthermore, the testing more accurately represents the operation of the server in the actual environment, thereby leading to better testing for the server.

20190116265, Apr 18, 2019

Dec 6, 2018

16/212137

- Redmond WA, US
Salman Zafar - Redmond WA, US
David Wang - Issaquah WA, US
John King Fredrick Tait - Kirkland WA, US

H04M 3/523
H04L 12/58

Non-limiting examples of the present disclosure describe insight-based routing that is used to improve processing of a service request through a help desk service. A request for support (e.g. technical support) can be received through a modality of a help desk service. The request is evaluated, where an evaluation of the request comprises analyzing an issue associated with the request as well as user-specific signal data associated with a customer and generating insights. A support agent is matched to the customer based on an evaluation of the request. The support agent is selected from a pool of support agents based on application of a model that analyzes support agent data in correlation with the generated insights. An interaction between the matched support agent and the customer may be initiated through a modality of the help desk service.

20190052754, Feb 14, 2019

Oct 18, 2018

16/163883

- Redmond WA, US
Salman Zafar - Redmond WA, US
David Wang - Issaquah WA, US
John King Fredrick Tait - Kirkland WA, US

H04M 3/51
H04L 29/06
H04M 3/523
G06Q 10/06

Non-limiting examples of the present disclosure describe insight-based routing that is used to improve processing during a communication of a help desk service. Real-time signal data is collected from a communication between a customer and a first support agent. The real-time signal data is evaluated to generate real-time insights for the communication. A determination is made as to whether the first needs assistance based on an evaluation of the real-time insights. A second support agent is identified to assist the first support agent based on a determination that the first support agent needs assistance. The second support agent is identified based on an application of a model that analyzes support agent data for a pool of support agents in correlation with the real-time insights. The second agent is then added to the communication to provide additional assistance in resolving a help desk case.

20180278748, Sep 27, 2018

Mar 24, 2017

15/469050

- Redmond WA, US
Salman Zafar - Redmond WA, US
David Wang - Issaquah WA, US
John King Fredrick Tait - Kirkland WA, US

H04M 3/51
G06Q 10/06
H04L 29/06
H04M 3/523
H04M 3/56

Non-limiting examples of the present disclosure describe insight-based routing that is used to improve processing during a communication of a help desk service. Real-time signal data is collected from a communication between a customer and a first support agent. The real-time signal data is evaluated to generate real-time insights for the communication. A determination is made as to whether the first needs assistance based on an evaluation of the real-time insights. A second support agent is identified to assist the first support agent based on a determination that the first support agent needs assistance. The second support agent is identified based on an application of a model that analyzes support agent data for a pool of support agents in correlation with the real-time insights. The second agent is then added to the communication to provide additional assistance in resolving a help desk case.

20180278750, Sep 27, 2018

Mar 24, 2017

15/469279

- Redmond WA, US
Salman Zafar - Redmond WA, US
David Wang - Issaquah WA, US
John King Fredrick Tait - Kirkland WA, US

H04M 3/523
H04M 3/51
H04L 12/58
H04M 3/56

Non-limiting examples of the present disclosure describe insight-based routing that is used to improve processing of a service request through a help desk service. A request for support (e.g. technical support) can be received through a modality of a help desk service. The request is evaluated, where an evaluation of the request comprises analyzing an issue associated with the request as well as user-specific signal data associated with a customer and generating insights. A support agent is matched to the customer based on an evaluation of the request. The support agent is selected from a pool of support agents based on application of a model that analyzes support agent data in correlation with the generated insights. An interaction between the matched support agent and the customer may be initiated through a modality of the help desk service.

20170274046, Sep 28, 2017

Jun 8, 2017

15/617968

- Seattle WA, US
David Boyu Wang - Seattle WA, US

UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION - Seattle WA

A61K 38/17
A01K 67/027
A61K 9/00
C07K 14/47
G01N 33/68
A61K 48/00

Provided herein are methods, assays and compositions relating to the treatment of neurological diseases and disorders, particularly by modulating expression and/or activity of Bif-1.

20160030517, Feb 4, 2016

Oct 10, 2013

14/434867

- Seattle WA, US
David Boyu WANG - Seattle WA, US

UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION - Seattle WA

A61K 38/17
G01N 33/68

Provided herein are methods, assays and compositions relating to the treatment of neurological diseases and disorders, particularly by modulating expression and/or activity of Bif-1.