Sandeep Gupta

US Patent:

20030039949, Feb 27, 2003

Filed:

Apr 19, 2002

Appl. No.:

10/125890

Inventors:

David Cappellucci - Wayland MA, US
Kirby Mansfield - Pepperell MA, US
Sandeep Gupta - Somerville MA, US

International Classification:

G09B007/00

US Classification:

434/362000

Abstract:

The present invention is directed to a scalable method and system for efficiently correlating large volumes of information resources. In an e-learning system many large and disparate of educational information resources can be combined and accessed quickly and efficiently. The system made very scalable by the use of central database of learning objectives referred to as a set of Master Learning Objectives or MLOs. Each information object and element of each information resource can be correlated to one or more MLOs in order to establish a link or relationship between the information object or element and the MLO. Once an information object or element is linked to an MLO, additional information objects and elements corresponding to the same subject as the first information object or element can be located by searching for all other information objects and elements linked to the same MLO. In addition, the MLOs can be hierarchically arranged in tree structure in order to further facilitate identifying information objects and elements that correspond to a given MLO or subset of MLOs.

US Patent:

20030078934, Apr 24, 2003

Filed:

Apr 19, 2002

Appl. No.:

10/125891

Inventors:

David Cappellucci - Wayland MA, US
Kirby Mansfield - Pepperell MA, US
Sandeep Gupta - Somerville MA, US

International Classification:

G06F007/00

US Classification:

707/101000

Abstract:

The present invention is directed to a scalable method and system for providing large groups of users with access to a large group of disparate information resources. The system is highly scalable and provide for a layered architecture that enables rapid application development, high availability and strong system security. The method and system can also provide the ability to customize the information provided by allowing the user to locate, assemble, format and combine information elements from diverse information resources in real time.

US Patent:

20100273776, Oct 28, 2010

Filed:

Mar 29, 2007

Appl. No.:

12/294893

Inventors:

Susan L. Lindquist - Chestnut Hill MA, US
Tiago Outeiro - Cambridge MA, US
James Fleming - Somerville MA, US
Christine Ellen Bulawa - Arlington MA, US
Charlotte Weigel - Melrose MA, US
Feng Liang - Sudbury MA, US
Sandeep Gupta - Concord OH, US
Amy Ripka - Winthrop MA, US

Assignee:

FOLDRx PHARMACEUTICALS, INC - Cambridge MA
WHITEHEAD INSTITUTE FOR BIOMEDICAL RESEARCH - Cambridge MA

International Classification:

A61K 31/519
A61K 31/4045
A61K 31/416
A61K 31/454
A61K 31/445
A61K 31/435
A61K 31/55
C07D 487/04
C07D 209/14
C07D 231/56
C07D 471/04
A61P 43/00
A61P 25/16
A61P 25/28
C12N 5/07

US Classification:

514215, 5142621, 514415, 514406, 514303, 514319, 514297, 544262, 548511, 5483611, 546119, 546120, 544280, 435375

Abstract:

Compounds and compositions are provided for treatment or amelioration of one or more symptoms of α-synuclein toxicity, α-synuclein mediated diseases or diseases in which α-synuclein fibrils are a symptom or cause of the disease.

US Patent:

20220369082, Nov 17, 2022

Filed:

Jul 22, 2022

Appl. No.:

17/814445

Inventors:

Sandeep Gupta - Tempe AZ, US
Ayan Banerjee - Tempe AZ, US
Madhurima Pore - Tempe AZ, US

Assignee:

Arizona Board of Regents on Behalf of Arizona State University - Tempe AZ

International Classification:

H04W 4/38
H04W 4/20
H04L 67/10
H04W 76/10
H04W 4/029
G16H 50/80
G06N 20/00
G06N 7/00
H04L 67/5683

Abstract:

Various embodiments of systems and methods for mobile crowd sensing applications are disclosed herein.

US Patent:

20230101696, Mar 30, 2023

Filed:

Sep 30, 2022

Appl. No.:

17/937324

Inventors:

Ayan Banerjee - Gilbert AZ, US
Sandeep Gupta - Phoenix AZ, US
Sameena Hossain - Tempe AZ, US

Assignee:

Arizona Board of Regents on Behalf of Arizona State University - Tempe AZ

International Classification:

G06F 3/01
G09B 21/00

Abstract:

A system examines components of gestures of a gesture-based language for evaluating proper execution of the gesture, and also examines components of new gestures for evaluating lexical similarity with existing gestures of similar meaning or theme.

US Patent:

20230024036, Jan 26, 2023

Filed:

Jul 18, 2022

Appl. No.:

17/813257

Inventors:

Sandeep Gupta - Phoenix AZ, US
Ayan Banerjee - Gilbert AZ, US
Imane Lamrani - Phoenix AZ, US

Assignee:

Arizona Board of Regents on Behalf of Arizona State University - Tempe AZ

International Classification:

G06F 30/27

Abstract:

Safety certification of cyber-physical system (CPS) such as autonomous cars or medical control systems are complicated especially due to the lack of transparency between the manufacturer and certifying authority. The manufacturer has significant restrictions in sharing knowledge with the certification authority. Further, given time constraints, it may not be feasible for the certification authority to examine internal details of the CPS. A system models the safety certification of CPS as an agile iterative game, where a manufacturer agent acting on behalf of the manufacturer and a certifier agent acting on behalf of a third-party certification entity aims to find an optimal subset of operating data to share for accurate safety certification. The certification agent, armed with CPS model mining methods and safety assessment analysis tools, aims to accurately assess safety of the CPS with the information shared.

US Patent:

20230026668, Jan 26, 2023

Filed:

Jul 19, 2022

Appl. No.:

17/813564

Inventors:

Sandeep Gupta - Phoenix AZ, US
Ayan Banerjee - Gilbert AZ, US
Imane Lamrani - Phoenix AZ, US

Assignee:

Arizona Board of Regents on Behalf of Arizona State University - Tempe AZ

International Classification:

G05B 9/02

Abstract:

Complexities arising from interaction between multiple inter-connected components in an autonomous cyber physical system can potentially result in differences in intended and observed operations of a CPS. To perform fault analysis of a CPS it is imperative to explain this discrepancy in terms of the components of CPS control code. A system estimates a “mined” hybrid system representation of a CPS based on observed input/output traces and extracts a state machine representation of the CPS control code. The system compares the “mined” hybrid system representation with the extracted state machine representation simplification of the CPS code to identify discrepancies between expected and observed operation of the CPS. The system explains discrepancies in terms of call conditions as binary or unary operations on input and output variables and status of function call arguments.

US Patent:

20210397266, Dec 23, 2021

Filed:

Jun 21, 2021

Appl. No.:

17/353312

Inventors:

Sandeep Gupta - Tempe AZ, US
Ayan Banerjee - Tempe AZ, US

Assignee:

Arizona Board of Regents on Behalf of Arizona State University - Tempe AZ

International Classification:

G06F 3/01
G06K 9/00
G06N 3/08

Abstract:

Various embodiments of a system and associated method for language-driven gesture understanding are disclosed herein.