Nitin V Patel

US Patent:

20090307033, Dec 10, 2009

Filed:

May 21, 2009

Appl. No.:

12/470088

Inventors:

Ivan S. J. Pais - North Andover MA, US
Nitin Patel - Andover MA, US
David G. St. Pierre - North Andover MA, US

Assignee:

Greenfield Online - North Andover MA

International Classification:

G06Q 10/00
G06F 17/30

US Classification:

705 7, 707 3, 7071041, 707E17044, 707E17014

Abstract:

A system and method for detecting and avoiding attempts at taking the same survey by the same respondent. A respondent is assigned a Global unique identifier (GUID) and the encrypted global identifier is inserted in a “cookie” stored on the user's computer. Each time a respondent attempts to take a survey, a respondent is identified using a mechanism such as e-mail, computer identifier or the like and a Survey Management system checks to see if this respondent should have a global identifier encoded in a cookie. Based on this review, the Survey Management system can determine whether or not this particular user, whether using different computer systems or under different user accounts has previously taken the survey.

US Patent:

20210319158, Oct 14, 2021

Filed:

Jun 22, 2021

Appl. No.:

17/354639

Inventors:

- Waltham MA, US
James Bolognese - Woodbridge NJ, US
Alexandre Buer - Holliston MA, US
Eric Edwards - Nolensville TN, US
Stanley Y. Huang - Wellesley MA, US
Yannis Jemiai - Arlington MA, US
Cyrus Mehta - Cambridge MA, US
Nitin Patel - Cambridge MA, US
Anne Pelz - Arlington MA, US
Ajay Prabhakar Sathe - Pune, IN
Joshua A. Schultz - Boston MA, US
Pralay Senchaudhuri - Cambridge MA, US

International Classification:

G06F 30/27
G06K 9/62
G16H 10/20

Abstract:

A method, according to some implementations, includes generating a plurality of base datasets using a random number generator and determining scenario specifications. The method may further include identifying at least one transformation function for at least one of the plurality of base datasets based on the scenario specifications and transforming the at least one of the plurality of base datasets using the at least one transformation function. In some cases, the method may also include generating scenario parameters based on the at least one transformed datasets.

US Patent:

20210240883, Aug 5, 2021

Filed:

Jan 30, 2021

Appl. No.:

17/163424

Inventors:

- Waltham MA, US
James Bolognese - Woodbridge NJ, US
Alexandre Buer - Holliston MA, US
Eric Edwards - Nolensville TN, US
Stanley Y. Huang - Wellesley MA, US
Yannis Jemiai - Arlington MA, US
Cyrus Mehta - Cambridge MA, US
Nitin Patel - Cambridge MA, US
Anne Pelz - Arlington MA, US
Ajay Prabhakar Sathe - Pune, IN
Joshua A. Schultz - Boston MA, US
Pralay Senchaudhuri - Cambridge MA, US

International Classification:

G06F 30/20
G16H 10/20
G06F 30/12

Abstract:

A method, according to some implementations, includes obtaining a criteria for a trial design study, determining permutations for designs in response to the criteria, and determining permutations for scenarios in response to the criteria. The method may further include generating combinations of the permutations for the designs and the permutations for the scenarios, simulating designs corresponding to the generated combinations, and determining performance of the simulated designs.

US Patent:

20210240884, Aug 5, 2021

Filed:

Jan 30, 2021

Appl. No.:

17/163429

Inventors:

- Waltham MA, US
James Bolognese - Woodbridge NJ, US
Alexandre Buer - Holliston MA, US
Eric Edwards - Nolensville TN, US
Stanley Y. Huang - Wellesley MA, US
Yannis Jemiai - Arlington MA, US
Cyrus Mehta - Cambridge MA, US
Nitin Patel - Cambridge MA, US
Anne Pelz - Arlington MA, US
Ajay Prabhakar Sathe - Pune, IN
Joshua A. Schultz - Boston MA, US
Pralay Senchaudhuri - Cambridge MA, US

International Classification:

G06F 30/20
G16H 10/20

Abstract:

A method, according to some implementations, includes obtaining trial design simulation results for a set of trial designs and determining a score for each trial design based on a performance criteria. The method may further include evaluating the designs in the set of trial designs to determine a convex hull for the set of trial designs, filtering designs based on the convex hull, and communicating the convex hull designs.

US Patent:

20210240885, Aug 5, 2021

Filed:

Jan 30, 2021

Appl. No.:

17/163430

Inventors:

- Waltham MA, US
James Bolognese - Woodbridge NJ, US
Alexandre Buer - Holliston MA, US
Eric Edwards - Nolensville TN, US
Stanley Y. Huang - Wellesley MA, US
Yannis Jemiai - Arlington MA, US
Cyrus Mehta - Cambridge MA, US
Nitin Patel - Cambridge MA, US
Anne Pelz - Arlington MA, US
Ajay Prabhakar Sathe - Pune, IN
Joshua A. Schultz - Boston MA, US
Pralay Senchaudhuri - Cambridge MA, US

International Classification:

G06F 30/20
G16H 10/20

Abstract:

A method for trial design with pareto techniques is provided. The method includes obtaining trial design simulation results for a set of trial designs and determining a score for each trial design based on a performance criteria. The method further includes evaluating Pareto optimality for each design in the set of trial designs to determine a Pareto frontier, filtering designs that are not on the Pareto frontier, and communicating the Pareto frontier designs.

US Patent:

20210240886, Aug 5, 2021

Filed:

Jan 30, 2021

Appl. No.:

17/163435

Inventors:

- Waltham MA, US
James Bolognese - Woodbridge NJ, US
Alexandre Buer - Holliston MA, US
Eric Edwards - Nolensville TN, US
Stanley Y. Huang - Wellesley MA, US
Yannis Jemiai - Arlington MA, US
Cyrus Mehta - Cambridge MA, US
Nitin Patel - Cambridge MA, US
Anne Pelz - Arlington MA, US
Ajay Prabhakar Sathe - Pune, IN
Joshua A. Schultz - Boston MA, US
Pralay Senchaudhuri - Cambridge MA, US

International Classification:

G06F 30/20
G06F 30/12

Abstract:

A method, according to some implementations, includes displaying an interface structured to evaluate design data by a group of users and identifying user parameters for each user in the group. The method ma further include configuring the interface for each user in the group based at least in part on the user parameters, receiving, via the interface, user input data from one or more users in the group, and scoring designs based on the user input and user parameters.

US Patent:

20210241144, Aug 5, 2021

Filed:

Jan 30, 2021

Appl. No.:

17/163427

Inventors:

- Waltham MA, US
James Bolognese - Woodbridge NJ, US
Alexandre Buer - Holliston MA, US
Eric Edwards - Nolensville TN, US
Stanley Y. Huang - Wellesley MA, US
Yannis Jemiai - Arlington MA, US
Cyrus Mehta - Cambridge MA, US
Nitin Patel - Cambridge MA, US
Anne Pelz - Arlington MA, US
Ajay Prabhakar Sathe - Pune, IN
Joshua A. Schultz - Boston MA, US
Pralay Senchaudhuri - Cambridge MA, US

International Classification:

G06N 5/04
G06F 30/10

Abstract:

A method, according to some implementations, includes obtaining trial design simulation results for a set of trial designs and determining a set of Pareto designs in the set of trial designs based at least in part on the trial design simulation results and one or more performance parameters. The method further includes determining a set of convex hull designs in the set of trial designs, determining a set of recommended designs based at least in part on the set of Pareto designs and the set of convex hull designs, and transmitting the set of recommended designs.

US Patent:

20210241859, Aug 5, 2021

Filed:

Jan 30, 2021

Appl. No.:

17/163423

Inventors:

- Waltham MA, US
James Bolognese - Woodbridge NJ, US
Alexandre Buer - Holliston MA, US
Eric Edwards - Nolensville TN, US
Stanley Y. Huang - Wellesley MA, US
Yannis Jemiai - Arlington MA, US
Cyrus Mehta - Cambridge MA, US
Nitin Patel - Cambridge MA, US
Anne Pelz - Arlington MA, US
Ajay Prabhakar Sathe - Pune, IN
Joshua A. Schultz - Boston MA, US
Pralay Senchaudhuri - Cambridge MA, US

International Classification:

G16H 10/20
G06F 30/20

Abstract:

A method for determining trial designs is provided. The method includes obtaining simulation data for a set of trial designs. The simulation data includes performance parameters and performance parameter values associated with each design in the set of designs for a set of criteria; determining an optimality criteria for evaluating the trial designs; searching, within the set of trial designs, for globally optimum designs based on the optimality criteria; and recommending globally optimum designs.