Stephen W Buckley

8442563, May 14, 2013

Dec 11, 2009

12/636163

Chun-Yang Chen - Holbrook NY, US
Russell Gulli - Mount Sinai NY, US
Christopher Passaretti - Smithtown NY, US
Chingfa Wu - Smithtown NY, US
Stephen Buckley - Stony Brook NY, US

Avaya Inc. - Basking Ridge NJ

H04W 4/00

455466, 4554121, 4554122, 4554141

Automated text-based messaging interaction using natural language understanding technologies enables text-based messages to be received from users and interpreted by a self-service application platform so that the self-service application platform can respond to the text-based messages in an automated manner. The characters and strings of characters contained within the text message are interpreted to extract words, which are then processed using a natural language understanding engine to determine the content of the text-based message. The content is used to generate a response message from static and/or dynamic grammars to automate the process of interacting with a user via text-based messages. Multiple text-based message formats are supported, including text messages transmitted using Short Messaging Service (SMS), instant messaging, chat, and e-mail.

8494975, Jul 23, 2013

Jun 30, 2004

10/879350

Young Min Lee - Old Westbury NY, US
Stephen John Buckley - White Plains NY, US

International Business Machines Corporation - Armonk NY

G06Q 99/00

705330, 705331, 705332, 705333, 705337

A method and tool for estimating a ship date profile for a business (e. g. , a business that is not in operation), includes simulating a plurality of dynamic events to estimate the ship date profile for the business. The plurality of dynamic events may include, for example, at least one of stochastic customer shopping traffic, an uncertainty of order size, a customer preference of a product feature and demand forecast, an inventory policy, a sourcing policy and a supply planning policy, and a manufacturing lead time.

20070282618, Dec 6, 2007

May 31, 2006

11/443068

Francisco Barahona - White Plains NY, US
Stephen John Buckley - White Plains NY, US
Pawan Raghunath Chowdhary - Montrose NY, US
John Joseph Forrest - Peekskill NY, US
Tracy Jay Kimbrel - Cortlandt Manor NY, US
Laszlo Ladanyi - Peekskill NY, US
Baruch Menachem Schieber - White Plains NY, US
Maxim Ivanovich Sviridenko - New York NY, US
Grzegorz Michal Swirszcz - Ossining NY, US

International Business Machines Corporation - Armonk NY

G06Q 10/00
G06Q 30/00

705 1

A method of scheduling delivery of at least one of goods (e.g., repair parts) and services (e.g., repair services) includes inputting a performance objective (e.g., a plurality of performance objectives), and network data pertaining to a network of mobile points, and generating (e.g., by utilizing the input network data and the performance objective) a delivery schedule for a delivery vehicle (e.g., one or more delivery vehicles) to deliver the at least one of the goods and services.

20080195431, Aug 14, 2008

Feb 12, 2007

11/673877

Naoki Abe - Rye NY, US
Ramakalyani Tirumala Akkiraju - Yorktown Heights NY, US
Stephen John Buckley - White Plains NY, US
Markus Ettl - Yorktown Heights NY, US

International Business Machines Corporation - Armonk NY

G06Q 10/00

705 7

A system and method for correlating business metrics and business transformations includes correlating metrics between a first level and a second level within a business metric hierarchy, and correlating at least one business transform and at least one metric at the first of the plurality of levels.

20080255910, Oct 16, 2008

Apr 16, 2007

11/735699

Sugato Bagchi - White Plains NY, US
Stephen Buckley - White Plains NY, US
Lea A. Deleris - Scarsdale NY, US
Shubir Kapoor - Shrub Oak NY, US
Kaan Katircioglu - Yorktown Heights NY, US
Richard B. Lam - Danbury CT, US

G06F 9/46

705 8

A computer implemented method for improving project risk management based on (a) a quantitative analysis of risks affecting activities, i.e., the root factors leading to cost and time overruns on an activity by activity basis, and (b) an optimization of the resources allocation to each activity in the project plan, is employed to maximize the probability of completing projects on time and within-budget. The method can be employed prior to proceeding with one or more projects, but is also advantageous in that it is adaptive in the sense that more information can be learned during the course of a project about the risk factors present in the project, and this information is used to enable dynamically re-allocating resources to ensure a better outcome given an updated risk profile. Preferably, a Bayesian Belief Network (BBN) is used to capture how risk factors identified by project managers influence individual activity durations.

20190046439, Feb 14, 2019

Oct 15, 2018

16/160044

- Apex NC, US
Kristin DAUGHERTY - Lakewood Ranch FL, US
Tatjana BOHINC - Cary NC, US
Stephen BUCKLEY - New York NY, US

A61K 9/107
A61K 9/08
A61K 47/44
A61K 47/02
A61K 47/36
A61K 47/12
A61K 47/18

A stabilized composition for the controlled delivery of probiotics includes an aqueous solution of crystalloids and colloids comprised of water insoluble polymers with the ability to de-swell upon electrical charge. The composition further includes a plurality of oil droplets and a base solution. The composition further include a destabilizing solution comprising a solvent, nitrogen, a natural acid sufficient to produce a pH of about 3.0 to about 4.5, and a sufficient amount of a salt to contribute to an osmolality between about 190 mOsm/L and about 900 mOsm/L. The composition further includes a plurality of microencapsulated probiotic beads, wherein the plurality of microencapsulated probiotic beads comprises between about 0.01% to about 20% of the composition by weight.