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Naresh S Iyer

from Ballston Spa, NY
Age ~53
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Related to:
Ashley HamiltonSoundra Hamilton, 42Ashley R Hamilton, 32Susan Alexson, 71Deomon Hamilton, 34
Connected to:
Abhishek Iyer, 36Akshaya S Iyer, 30Anish V Iyer, 28Eashwer B Iyer, 53Gopal N Iyer, 71Harsha S IyerKanak S Iyer, 66Lakhu C Iyer, 56Manny S Iyer, 68Nalini Iyer, 58

Naresh Iyer Phones & Addresses

  • Ballston Spa, NY
  • 125 Union St, Saratoga Spgs, NY 12866 (518) 584-2575
  • Saratoga Springs, NY
  • Tampa, FL
  • 120 Lane Ave, Columbus, OH 43201
  • 1456 Neil Ave, Columbus, OH 43201 (614) 294-7637
  • 1524 Neil Ave, Columbus, OH 43201 (614) 294-7637
  • 168 Eastwood Dr, Clifton Park, NY 12065 (518) 373-8280
  • 168D Eastwood Dr, Clifton Park, NY 12065 (518) 373-8280
  • Halfmoon, NY
  • Schenectady, NY
  • 28 Featherbed Ln, Ballston Spa, NY 12020 (518) 524-6300

Education

Degree: Associate degree or higher

Publications

Wikipedia

Naresh Iyer

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Naresh Iyer (born 3 January 1981) is a playback singer from Mumbai, India. Naresh Iyer has rendered film songs in several Indian languages and has several chart

Us Patents

Method And Apparatus For Signal Signature Analysis For Event Detection In Rotating Machinery

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US Patent:
7317994, Jan 8, 2008
Filed:
Aug 10, 2005
Appl. No.:
11/200156
Inventors:
Naresh Sundaram Iyer - Clifton Park NY, US
John Erik Hershey - Ballston Lake NY, US
James Kenneth Aragones - Clifton Park NY, US
Kai Frank Goebel - Ballston Lake NY, US
Weizhong Yan - Clifton Park NY, US
Piero Patrone Bonissone - Schenectady NY, US
Charles Terrance Hatch - Gardnerville NV, US
Assignee:
General Electric Company - Schenectady NY
International Classification:
G01H 9/00
US Classification:
702 56, 702183, 702185, 702190, 340680, 73579, 73659, 73660
Abstract:
A method for analyzing vibration including: acquiring a vibration signal; isolating a vibration signal event in the acquired signal; determining a frequency of a damped sinusoid of the vibration signal event, wherein the damped sinusoid characterizes the vibration signal event, and using the characteristic damped sinusoid to identify an occurrence of the vibration signal event in another vibration signal.

System And Process For A Fusion Classification For Insurance Underwriting Suitable For Use By An Automated System

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US Patent:
7383239, Jun 3, 2008
Filed:
Apr 30, 2003
Appl. No.:
10/425721
Inventors:
Piero Patrone Bonissone - Schenectady NY, US
Kareem Sherif Aggour - Niskayuna NY, US
Rajesh Venkat Subbu - Troy NY, US
Weizhong Yan - Clifton Park NY, US
Naresh Sundaram Iyer - Clifton Park NY, US
Anindya Chakraborty - Schenectady NY, US
Assignee:
Genworth Financial, Inc. - Richmond VA
International Classification:
G06F 17/00
G06N 5/02
US Classification:
706 46, 706 20, 706 47
Abstract:
A method and system for fusing a collection of classifiers used for an automated insurance underwriting system and/or its quality assurance is described. Specifically, the outputs of a collection of classifiers are fused. The fusion of the data will typically result in some amount of consensus and some amount of conflict among the classifiers. The consensus will be measured and used to estimate a degree of confidence in the fused decisions. Based on the decision and degree of confidence of the fusion and the decision and degree of confidence of the production decision engine, a comparison module may then be used to identify cases for audit, cases for augmenting the training/test sets for re-tuning production decision engine, cases for review, or may simply trigger a record of its occurrence for tracking purposes. The fusion can compensate for the potential correlation among the classifiers. The reliability of each classifier can be represented by a static or dynamic discounting factor, which will reflect the expected accuracy of the classifier.

Multi-Criterial Decision Making System And Method

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US Patent:
7437343, Oct 14, 2008
Filed:
Oct 26, 2006
Appl. No.:
11/553126
Inventors:
John R. Josephson - Worthington OH, US
Balakrishnan Chandrasekaran - Columbus OH, US
Mark Carroll - Columbus OH, US
Naresh Sundaram Iyer - Columbus OH, US
Assignee:
The Ohio State University Research Foundation - Columbus OH
International Classification:
G06F 17/00
G06N 5/04
US Classification:
706 60, 706 11, 706 47
Abstract:
An architecture is disclosed for assistance with exploration of design and other decision spaces and for making decisions. These decision spaces may be very large. The architecture consists of three main components: A Seeker acquires candidates by generating or retrieving them, along with their scores according to one or more criteria. A Filter locates a relatively small number of promising candidates that are retained for further analysis. Various filters may be used to locate the promising candidates. A Viewer allows a user to examine trade-off diagrams, and other linked displays, that present the filtered candidates for evaluation, analysis, further exploration, and narrowing the choice set. The computational load of the Seeker may be distributed among a large number of clients in a client-server computing environment.

Performance Enhancement Of Optimization Processes

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US Patent:
7457786, Nov 25, 2008
Filed:
Aug 23, 2005
Appl. No.:
11/210120
Inventors:
James Kenneth Aragones - Clifton Park NY, US
Naresh Sundaram Iyer - Clifton Park NY, US
Catherine Joyce Lazatin - Mt. Prospect IL, US
Assignee:
General Electric Company - Niskayuna NY
International Classification:
G06F 15/18
G06F 17/00
G06N 3/00
G06N 3/12
G06N 5/02
US Classification:
706 13, 706 45
Abstract:
The performance of optimization algorithms operating with compute-intensive fitness functions is enhanced by constraining time-intensive fitness evaluations for candidate solutions that show low likelihood of being fit at early stages of the fitness evaluation. By prematurely discarding alternatives that could be potentially optimal upon complete fitness evaluation but with low likelihood, the running time of the overall optimization process is advantageously reduced substantially, thereby trading off time complexity for search fidelity.

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 And Process For Dominance Classification For Insurance Underwriting Suitable For Use By An Automated System

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US Patent:
7567914, Jul 28, 2009
Filed:
Apr 30, 2003
Appl. No.:
10/425723
Inventors:
Piero Patrone Bonissone - Schenectady NY, US
Naresh Sundaram Iyer - Clifton Park NY, US
Assignee:
Genworth Financial, Inc. - Richmond VA
International Classification:
G06Q 40/00
US Classification:
705 4, 705 1, 705 2, 705 3, 706 6, 706 46, 706 47
Abstract:
A risk classification technique that exploits the existing risk structure of the decision problem in order to produce risk categorizations for new candidates is described. The technique makes use of a set of candidates for which risk categories have already been assigned (in the case of insurance underwriting, for example, this would pertain to the premium class assigned to an application). Using this set of labeled candidates, the technique produces two subsets for each risk category: the Pareto-best subset and the Pareto-worst subset by using Dominance. These two subsets can be seen as representing the least risky and the most risky candidates within a given risk category. If there are a sufficient number of candidates in these two subsets, then the candidates in these two subsets can be seen as samples from the two hypothetical risk surfaces in the feature space that bound the risk category from above and below respectively. A new candidate is assigned a risk category by verifying if the candidate lies within these two bounding risk surfaces.
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Naresh S Iyer from Ballston Spa, NY, age ~53 Get Report