Christopher M Wynnyk

20130262039, Oct 3, 2013

Mar 28, 2012

13/432615

William Justin BARNES - Oklahoma City OK, US
Adric Carlyle Eckstein - Sterling VA, US
Michael John Mills - Alexandria VA, US
Christopher Michael Wynnyk - Washington DC, US

The MITRE Corporation - McLean VA

G06F 17/50
G06F 9/44

703 1, 717104, 717105

A flight procedure criteria prototyping system and method is described herein. According to embodiments, the system is configured to generate a prototype, generate a dependency tree based on the prototype, wherein the dependency tree is comprised of one or more dependency tree nodes, translate the dependency tree into one or more construction steps, wherein there is a mapping between the one or more dependency tree nodes and the one or more construction steps, maintain an ordered list of the one or more construction steps, and generate one or more software specifications based on the one or more construction steps.

20110246005, Oct 6, 2011

Mar 31, 2010

12/751612

Robert Dean King - Schenectady NY, US
Lembit Salasoo - Schenectady NY, US
Gary Raymond Kilinski - Scotia NY, US
Christopher Michael Wynnyk - Albany NY, US

G06F 19/00

701 22, 180 65265

An apparatus includes a transmission, an engine coupled to an input side of the transmission, and an electromechanical device coupled to an output side of the transmission. The apparatus also includes a differential coupled to the output side of the electromechanical device and a controller coupled to the electromechanical device. The controller is programmed to receive a travel range estimate and control operation of the electromechanical device based on the travel range estimate.

20220215349, Jul 7, 2022

Mar 25, 2022

17/656497

- Denver CO, US
Casey Patton - London, GB
Christopher Wynnyk - Washington DC, US
Kayo Teramoto - Washington DC, US

G06Q 10/10
G06F 3/0482

A data analysis system is disclosed that receives data from a master data system to enable useful and efficient rescheduling of items, taking into account effects of various rescheduling options on various metrics related to the items and/or the scheduling. The data analysis system includes sophisticated data analysis and interactive graphical user interface functionality to enable efficient, multi-variable evaluation of various rescheduling options. The interactive graphical user interface includes interactive functionality for suggesting rescheduling options in view of the effects of those changes on various metrics, evaluating various rescheduling options in view of effects on the various metrics, adjusting instances of metrics related to items/timelines in view of scheduling changes, and the like. Once a set of schedule modifications are determined by the data analysis system, the data analysis system can push the schedule modifications back to the master data system for implementation.

20230090443, Mar 23, 2023

Nov 23, 2022

18/058624

- Denver CO, US
Casey Patton - London, GB
Christopher Wynnyk - Washington DC, US
Kayo Teramoto - Washington DC, US

G06Q 10/10
G06F 3/0482

A data analysis system is disclosed that receives data from a master data system to enable useful and efficient rescheduling of items, taking into account effects of various rescheduling options on various metrics related to the items and/or the scheduling. The data analysis system includes sophisticated data analysis and interactive graphical user interface functionality to enable efficient, multi-variable evaluation of various rescheduling options. The interactive graphical user interface includes interactive functionality for suggesting rescheduling options in view of the effects of those changes on various metrics, evaluating various rescheduling options in view of effects on the various metrics, adjusting instances of metrics related to items/timelines in view of scheduling changes, and the like. Once a set of schedule modifications are determined by the data analysis system, the data analysis system can push the schedule modifications back to the master data system for implementation.

20200336394, Oct 22, 2020

Jun 8, 2020

16/895621

- Palo Alto CA, US
Andrew Ash - San Carlos CA, US
Anuraag Bahl - New York NY, US
Andy Chen - New York NY, US
Aydin Keskin - Jersey City NJ, US
Christopher Rogers - Brooklyn NY, US
Anshuman Prasad - New York NY, US
Ankit Shankar - Redwood City CA, US
Casey Patton - London, GB
Christopher Wynnyk - Washington DC, US
Joanna Peller - London, GB
Jonathan Victor - New York NY, US
Mackenzie Bohannon - San Rafael CA, US
Mitchell Skiles - New York NY, US
Nikhil Taneja - New York NY, US
Ryan Norris - London, GB
Scott Adams - London, GB
Samuel Sinensky - New York NY, US
Sri Krishna Vempati - Santa Clara CA, US
Thomas Mathew - New York NY, US
Vinoo Ganesh - New York NY, US
Rahij Ramsharan - London, GB

H04L 12/24
G06K 9/62

A system for troubleshooting network problems is disclosed. A model can use demographic information, network usage information, and network membership information to determine an importance of a problem. The importance of the problem for the user who reported the problem, a number of other users affected by the problem, and the importance of the problem to the other users can be used to determine a priority for resolving the problem. Before and after a work order is executed to resolve the problem, network metrics can be gathered, including aggregate network metrics, and automatically presented in various user interfaces. The analysis of the metrics can be used to update a database of which work orders are assigned in response to which problems.