Tarun Kumar

US Patent:

7835891, Nov 16, 2010

Filed:

Mar 13, 2008

Appl. No.:

12/047705

Inventors:

Tarun Kumar - Ossining NY, US
Gyana Ranjan Parija - Briarcliff Manor NY, US
Haifeng Xi - Yorktown Heights NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/50
G06F 7/60

US Classification:

703 2

Abstract:

A computer implemented method for determining an alternative representation of an optimization model reduces model input through compact representation of model parameters. Model generation is performed at varying levels of complexity (approximation) depending on pre-defined, business approved thresholds. The computer receives a set of functions representing a set of events where each function includes sets of first and second axis coordinate values. Each of the functions are transformed to a compacted function which includes a set of pieces including an anchor point, break points, and slopes. Successive pieces having the same slope value are removed. Alternate optimization models are generated based on the set of pieces representing a compacted function and on a predetermined accuracy value.

US Patent:

7917380, Mar 29, 2011

Filed:

Mar 28, 2008

Appl. No.:

12/058098

Inventors:

Tarun Kumar - Ossining NY, US
Gyana Ranjan Parija - Haryana, IN
Haifeng Xi - Yorktown Heights NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 9/44

US Classification:

705 7, 705 8

Abstract:

The present invention provides a system and method for strategic budgeting of initial response for managing wildfires. According to the present invention, stochastic-integer-programming-based constrained optimization techniques are employed to develop a strategic budget by optimally allocating disaster management resources to disaster events belonging to scenarios associated with occurrence probabilities. According to the invention, certain machine-readable data describing fires may be subjected to computerized data processing, ultimately producing a determination of valid disaster management resources for each fire event, which may be used for strategic budgeting of initial responses for managing wildfires.

US Patent:

8036921, Oct 11, 2011

Filed:

Sep 16, 2004

Appl. No.:

10/942040

Inventors:

Tarun Kumar - Ossining NY, US
Gyana R. Parija - Poughkeepsie NY, US
Haifeng Xi - Yorktown Heights NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06Q 10/00

US Classification:

705 711

Abstract:

A method (and system) of providing optimization repeatability in an on-demand computing environment removes variability in an optimization model instance and can be exemplarily implemented in a service architecture. The method and system receives a plurality of physical data instances, which are different representations of the same logical data model, and transforms the plurality of physical data instances into a normalized physical data instance, which can be combined with an optimization model to form a unique optimization model instance, thereby providing repeatability in solving optimization problems.

US Patent:

8392926, Mar 5, 2013

Filed:

Apr 6, 2010

Appl. No.:

12/755089

Inventors:

Tracy J. Kimbrel - Cortlandt Manor NY, US
Tarun Kumar - Mohegan Lake NY, US
Kevin D. McKenzie - Poughkeepsie NY, US
Maxim Sviridenko - New York NY, US
Debra Tomkowid - Poughkeepsie NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 9/46

US Classification:

718103

Abstract:

A system and method that provides an automated solution to obtaining quality scheduling for users of computing resources. The system, implemented in an enterprise software test center, collects information from test-shop personnel about test machine features and availability, test jobs, and tester preferences and constraints. The system reformulates this testing information as a system of constraints. An optimizing scheduling engine computes efficient schedules whereby all the jobs are feasibly scheduled while satisfying the users' time preferences to the greatest extent possible. The method and system achieves fairness: if all preferences can not be meet, it is attempted to evenly distribute violations of preferences across the users. The test scheduling is generated according to a first application of a greedy algorithm that finds an initial feasible assignment of jobs. The second is a local search algorithm that improves the initial greedy solution.

US Patent:

20060161467, Jul 20, 2006

Filed:

Jan 14, 2005

Appl. No.:

11/035931

Inventors:

Tarun Kumar - Ossining NY, US
Gyana Parija - South City-1, IN
Haifeng Xi - Yorktown Heights NY, US

International Classification:

G06F 9/46

US Classification:

705008000

Abstract:

The present invention provides a system and method for strategic budgeting of initial response for managing wildfires. According to the present invention, stochastic-integer-programming-based constrained optimization techniques are employed to develop a strategic budget by optimally allocating disaster management resources to disaster events belonging to scenarios associated with occurrence probabilities. According to the invention, certain machine-readable data describing fires may be subjected to computerized data processing, ultimately producing a determination of valid disaster management resources for each fire event, which may be used for strategic budgeting of initial responses for managing wildfires.

US Patent:

20070162162, Jul 12, 2007

Filed:

Jan 9, 2006

Appl. No.:

11/328023

Inventors:

Tarun Kumar - Ossining NY, US
Gyana Parija - Briarcliff Manor NY, US
Haifeng Xi - Yorktown Heights NY, US

International Classification:

G05B 13/02

US Classification:

700029000

Abstract:

A method for determining an alternative representation of an optimization model reduces model input through compact representation of model parameters. Model generation is performed at varying levels of complexity (approximation) depending on pre-defined, business approved thresholds.

US Patent:

20080167929, Jul 10, 2008

Filed:

Jan 10, 2007

Appl. No.:

11/621942

Inventors:

Heng Cao - Yorktown Heights NY, US
Daniel Patrick Connors - Pleasant Valley NY, US
Donna L. Gresh - Cortlandt Manor NY, US
Meng-Chen Hsieh - Elmhurst NY, US
Jianying Hu - Bronx NY, US
Chen Jiang - Mohegan Lake NY, US
Tarun Kumar - Mohegan Lake NY, US
Yang Liu - Mohegan Lake NY, US
Yingdong Lu - Yorktown Heights NY, US
Aleksandra Mojsilovic - New York NY, US
Ana Radovanovic - New York NY, US
Mark S. Squillante - Pound Ridge NY, US
Yichong Yu - Yorktown Heights NY, US

International Classification:

G06Q 10/00

US Classification:

705 8

Abstract:

A method (and structure) for end-to-end workforce management, includes identifying sources of data that together reflect data of substantially the entirety of a workforce of an organization, identifying service components related to the workforce, and combining the data sources and service components into an integrated framework to support an end-to-end workforce management cycle.

US Patent:

20090271240, Oct 29, 2009

Filed:

Apr 28, 2008

Appl. No.:

12/110855

Inventors:

Tarun Kumar - Mohegan Lake NY, US
Sameep Mehta - New Delhi, IN
Vinayaka D. Pandit - New Delhi, IN
Gyana R. Parija - Gurgaon, IN
Anupam Saronwala - New Delhi, IN
Rashmi Singh - New Delhi, IN

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06Q 30/00
G06F 9/46

US Classification:

705 8

Abstract:

A method and system are disclosed for planning a workforce headcount for a given business process. The method comprises the steps of providing as inputs, i) productivity ramp-ups to model the level of experience and to measure the performance of both new hires and current employees, and ii) industry/market attrition rates for employees; and performing an evaluation, using said inputs, of at least one given management objective. On the basis of this evaluation, a future hiring and transition plan is provided for the given business process for a defined period of time. In the preferred embodiment of the invention, uncertainty is associated with one or more of the inputs, and the future hiring and transition plan is provided by using stochastic programming to model the uncertainty associated with at least one of said one or more of the inputs.