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Rajesh V Subbu

from Avon, CT
Age ~54
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Also known as:
Raj V Subbu, Rajesh V Ubbu, Subbu Subbu, Rajesh Subba
Phone and address:
25 Cranbrook, Avon, CT 06001
Related to:
Raj Subbu
Connected to:
Ramesh B Subburaj, 42Sandy J Subcleff, 64Samad S Subedar, 43Yeun J Subedar, 53Anjana X Subedi, 37Ayush Subedi, 34Bijaya Subedi, 35Bimal R Subedi, 35Binaya Subedi, 56Hemanta Subedi, 42

Rajesh Subbu Phones & Addresses

  • 25 Cranbrook, Avon, CT 06001
  • 11 Dawson Ln, Clifton Park, NY 12065 (518) 877-0000
  • 400 Mcchesney Ave, Troy, NY 12180
  • 190 25Th St, Troy, NY 12180 (518) 270-0848
  • 5 25Th St #A, Troy, NY 12180 (518) 268-4281
  • 65 25Th St, Troy, NY 12180 (518) 270-0848
  • Chattanooga, TN
  • Gold Bar, WA
  • Columbus, OH
  • Euclid, OH

Publications

Us Patents

Systems And Methods For Multi-Level Optimizing Control Systems For Boilers

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US Patent:
7389151, Jun 17, 2008
Filed:
Mar 6, 2006
Appl. No.:
11/276559
Inventors:
Vivek Venugopal Badami - Schenectady NY, US
Rajesh Venkat Subbu - Clifton Park NY, US
Avinash Vinayak Taware - Niskayuna NY, US
Piero Patrone Bonissone - Schenectady NY, US
Neil Colin Widmer - San Clemente CA, US
Assignee:
General Electric Company - Schenectady NY
International Classification:
G05B 13/02
G05D 3/12
US Classification:
700 28, 700286
Abstract:
Systems and methods for multi-level optimization of emission levels and efficiency for a boiler system that includes creating both boiler-level models and burner-level models and receiving a plurality of boiler-level system variables. The received system variables are used along with boiler system constraints to optimize boiler-level setpoints. Once the boiler-level setpoints have been optimized they are sent to the burner level of a hierarchical control system, where they are used to optimize burner-level setpoints. Once the burner-level setpoints have been optimized they are sent to the burner control loops of the plant control system to be implemented.

Systems And Methods For Efficient Frontier Supplementation In Multi-Objective Portfolio Analysis

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US Patent:
7469228, Dec 23, 2008
Filed:
Feb 20, 2004
Appl. No.:
10/781897
Inventors:
Piero Patrone Bonissone - Schenectady NY, US
Srinivas Bollapragada - Niskayuna NY, US
Kete Charles Chalermkraivuth - Niskayuna NY, US
Neil Holger White Eklund - Clifton Park NY, US
Naresh Sundaram Iyer - Clifton Park NY, US
Rajesh Venkat Subbu - Clifton Park NY, US
Assignee:
General Electric Company - Niskayuna NY
International Classification:
G06Q 40/00
US Classification:
705 36R
Abstract:
The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method comprising: performing a first multi-objective optimization process, based on competing objectives, to generate an efficient frontier of possible solutions; observing the generated efficient frontier; based on the observing, identifying an area of the efficient frontier in which there is a gap; and effecting a gap filling process by which the efficient frontier is supplemented in the area of the gap, the efficient frontier being used in investment decisioning.

Method And System For Performing Model-Based Multi-Objective Asset Optimization And Decision-Making

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US Patent:
7536364, May 19, 2009
Filed:
Apr 28, 2005
Appl. No.:
11/116920
Inventors:
Rajesh V. Subbu - Clifton Park NY, US
Piero P. Bonissone - Schenectady NY, US
Neil H. Eklund - Schenectady NY, US
Naresh S. Iyer - Clifton Park NY, US
Rasiklal P. Shah - Latham NY, US
Weizhong Yan - Clifton Park NY, US
Chad E. Knodle - Dayton NV, US
James J. Schmid - Kirkland WA, US
Assignee:
General Electric Company - Schenectady NY
International Classification:
G06N 7/00
G05B 13/04
US Classification:
706 13, 700 28, 700 29, 700 30, 700 32, 700 33, 700 34
Abstract:
A method and system for performing model-based multi-objective asset optimization and decision-making is provided. The method includes building at least two predictive models for an asset. The building includes categorizing operational historical data via at least one of: controllable variables, uncontrollable variables, output objectives, and constraints. The building also includes selecting at least two output objectives or constraints, and identifying at least one controllable or uncontrollable variable suitable for achieving the at least two output objectives or constraints. The method also includes validating each predictive model and performing multi-objective optimization using the predictive models. The multi-objective optimization includes specifying search constraints and applying a multi-objective optimization algorithm. The method further includes generating a Pareto Frontier, and selecting a Pareto optimal input-output vector.

Systems And Methods For Multi-Objective Portfolio Optimization

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US Patent:
7542932, Jun 2, 2009
Filed:
Feb 20, 2004
Appl. No.:
10/781780
Inventors:
Kete Charles Chalermkraivuth - Niskayuna NY, US
Srinivas Bollapragada - Niskayuna NY, US
Piero Patrone Bonissone - Schenectady NY, US
Michael Craig Clark - Glen Ellyn IL, US
Neil Holger White Eklund - Clifton Park NY, US
Naresh Sundaram Iyer - Clifton Park NY, US
Rajesh Venkat Subbu - Clifton Park NY, US
Assignee:
General Electric Company - Niskayuna NY
International Classification:
G06Q 40/00
US Classification:
705 35, 705 7, 705 10, 705 36 R, 708130, 708131, 708132, 708134, 434107, 434108, 434191, 434211
Abstract:
The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method comprising: generating an initial population of solutions of portfolio allocations; performing a first multi-objective process, based on the initial population and the competing objectives, to generate a first interim efficient frontier; performing a second multi-objective process, based on the initial population and the competing objectives, to generate a second interim efficient frontier; and fusing the first interim efficient frontier with the second interim efficient frontier to create an augmented efficient frontier for use in investment decisioning.

System For Case-Based Insurance Underwriting Suitable For Use By An Automated System

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US Patent:
7630910, Dec 8, 2009
Filed:
Jun 14, 2002
Appl. No.:
10/170471
Inventors:
Piero Patrone Bonissone - Schenectady NY, US
Richard Paul Messmer - Rexford NY, US
Dan Yang - Westborough MA, US
Marc Pavese - Saratoga Spring NY, US
Angela Neff Patterson - Blacksburg VA, US
Anil Varma - Clifton Park NY, US
William Michael Durham - Concord VA, US
Diane Marie Russell - Lynchburg VA, US
Rajesh Venkat Subbu - Troy NY, US
Assignee:
Genworth Financial, Inc. - Richmond VA
International Classification:
G06Q 10/00
US Classification:
705 4, 705 2, 705 3
Abstract:
A system for at least a partial underwriting of insurance policies is described. based on the similarity to previous insurance applications, a decision on the current request for underwriting may be made. this decision-making process represents an analogical approach to the placement of an insurance application to an underwriting category, whereby a given insurance application request is compared to previous requests.

Systems And Methods For Multi-Objective Portfolio Analysis And Decision-Making Using Visualization Techniques

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US Patent:
7630928, Dec 8, 2009
Filed:
Feb 20, 2004
Appl. No.:
10/781871
Inventors:
Piero Patrone Bonissone - Schenectady NY, US
Srinivas Bollapragada - Niskayuna NY, US
Kete Charles Chalermkraivuth - Niskayuna NY, US
Neil Holger White Eklund - Clifton Park NY, US
Naresh Sundaram Iyer - Clifton Park NY, US
Rajesh Venkat Subbu - Clifton Park NY, US
Assignee:
General Electric Company - Niskayuna NY
International Classification:
G06Q 40/00
US Classification:
705 36R
Abstract:
The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method sequentially comprising: generating a non-dominated solution set in a space; applying a first set of user-specified constraints to reduce the solutions in the non-dominated solution set to a solution subset; and executing a series of local tradeoffs on the solution subset to result in a resulting solution subset, the local tradeoffs being performed in a lower dimension performance space as compared to the space, and the solution subset being used in investment decisioning.

Air Traffic Demand Prediction

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US Patent:
7664596, Feb 16, 2010
Filed:
Jun 29, 2006
Appl. No.:
11/427728
Inventors:
Gerald Bowden Wise - Clifton Park NY, US
John Michael Lizzi - Wilton NY, US
Louis John Hoebel - Burnt Hills NY, US
Rajesh Venkat Subbu - Clifton Park NY, US
Daniel Joseph Cleary - Schenectady NY, US
Liviu Nedelescu - Arlington VA, US
Paul W. Mettus - Gaithersburg MD, US
Bradley A. Culbertson - Gaithersburg MD, US
Jonathan Dehn - Damascus MD, US
Assignee:
Lockheed Martin Corporation - Bethesda MD
International Classification:
G06F 17/00
G06F 19/00
US Classification:
701120, 701202
Abstract:
Systems and methods for airspace demand prediction with improved sector level demand prediction are provided. In one embodiment, an air traffic demand prediction system () operable to predict demand within an airspace divided into sectors includes an expanded route predictor () operable to generate predicted two-dimensional expanded route information () associated with at least one requested flight (), a trajectory modeler () operable to generate predicted four-dimensional expanded route information (), a sector crossing predictor () operable to generate predicted sector crossing information (), a departure time predictor () operable to generate predicted departure time information (), and a demand modeler () operable to generate a demand model (), the demand model () including predicted time intervals associated with the at least one requested flight indicating when it is expected to be present within one or more sectors of the airspace.

System And Method For Implementing A Multi Objective Evolutionary Algorithm On A Programmable Logic Hardware Device

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US Patent:
7809657, Oct 5, 2010
Filed:
Jul 12, 2006
Appl. No.:
11/485101
Inventors:
Rajesh Venkat Subbu - Clifton Park NY, US
Stefano Romoli Bonissone - Schenectady NY, US
Assignee:
General Electric Company - Niskayuna NY
International Classification:
G06N 5/00
US Classification:
706 13, 706 20, 706 45
Abstract:
A system for implementing a multi objective evolutionary algorithm (MOEA) on a programmable hardware device is provided. The system comprises a random number generator, a population generator, a crossover/mutation module, a fitness evaluator, a dominance filter and an archive. The random number generator is configured to generate a sequence of pseudo random numbers. The population generator is configured to generate a population of solutions based on the output from the random number generator. The crossover/mutation module is configured to adapt the population of solutions to generate an adapted population of solutions. The fitness evaluator is configured to evaluate each member comprising the population of solutions and the adapted population of solutions. The fitness evaluator is implemented on the programmable hardware device. The dominance filter is configured to select a subset of members from the population of solutions and the adapted population of solutions and generate a filtered population of solutions.
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Rajesh V Subbu from Avon, CT, age ~54 Get Report