Sharad C Sundararajan

8527920, Sep 3, 2013

Jan 29, 2013

13/752934

Ruchir Puri - Baldwin Place NY, US
Subhendu Roy - Austin TX, US
Sharad C. Sundararajan - Astoria NY, US

International Business Machines Corporation - Armonk NY

G06F 17/50

716104

A method for automated synthesis of a parallel prefix device includes determining structural constraints for a given parallel prefix device; generating a plurality of candidate prefix graphs for the parallel prefix device by performing a search of possible prefix graphs meeting the constraints; performing physical synthesis of each of the plurality of candidate prefix graphs to generate performance information for each candidate prefix graph; and determining one or more of the plurality of candidate prefix graphs that meet performance criteria for incorporation into the parallel prefix device.

20230069549, Mar 2, 2023

Nov 30, 2021

17/537956

- New York NY, US
ADITYA VEMPATY - Yorktown Heights NY, US
SHARAD SUNDARARAJAN - Union City NJ, US
SATYA V. NITTA - Cross River NY, US
LATHA RAMANAN - Menlo Park CA, US
JUAN ERNESTO PENARRIETA CORNEJO - Washington WA, US
RAJKUMAR CHANDRASEKARAN - San Ramon CA, US
HELENE ALONSO - New York NY, US
PAUL V. HALEY - Sewickley PA, US
TAMER ABUELSAAD - Fishkill NY, US
PRASENJIT DEY - Kolkata, IN

G06F 9/451
G06F 3/16

A data management server computer (“server”) is disclosed. The server receives action data associated with one or more users identifying a plurality of actions performed through one or more computer devices in a multi-modal networked environment, identifies useful sequences of actions as compound actions, and generates deep links representing the compound actions as UI elements which when invoked cause execution of the represented compound actions.

20210056046, Feb 25, 2021

Nov 6, 2020

17/091407

- Nyack NY, US
ROBERT SMITH - New York NY, US
SHOM PONOTH - Irvine CA, US
SHARAD SUNDARARAJAN - Union City CA, US
RAVINDRANATH KOKKU - Yorktown Heights NY, US
ROBERT HUTTER - Burlingame CA, US
SATYA NITTA - Cross River NY, US

G06F 13/10

A device management server computer (“server”) and processing methods are disclosed. In some embodiments, the server is programmed to manage a plurality of input devices and output devices in a physical room. The server is programmed to analyze media data capturing actions performed by a user in real time as a participant in the physical room, determine how the user would like to connect at least one of the input devices and one of the output devices from the analysis, and enable the connection. The sever is programmed to interpret the actions and derive commands for connecting two or more devices based on predetermined data regarding the input devices and output devices and rules for referring to and connecting these devices.

20200341912, Oct 29, 2020

Apr 26, 2019

16/396622

- Nyack NY, US
ROBERT SMITH - New York NY, US
SHOM PONOTH - Irvine CA, US
SHARAD SUNDARARAJAN - Union City CA, US
RAVINDRANATH KOKKU - Yorktown Heights NY, US
ROBERT HUTTER - Burlingame CA, US
SATYA NITTA - Cross River NY, US

G06F 13/10

A device management server computer (“server”) is programmed to manage a plurality of input devices and output devices in a physical room. The server is programmed to analyze media data capturing actions performed by a user in real time as a participant in the physical room, determine how the user would like to connect at least one of the input devices and one of the output devices from the analysis, and enable the connection. The sever is programmed to interpret the actions and derive commands for connecting two or more devices based on predetermined data regarding the input devices and output devices and rules for referring to and connecting these devices.

20200211406, Jul 2, 2020

Jan 2, 2019

16/238510

- Nyack NY, US
JIEHUA LI - Highland MD, US
AMOL NAYATE - Yorktown Heights NY, US
SATYA V. NITTA - Cross River NY, US
SEAN O'HARA - Fort Montgomery NY, US
SHOM PONOTH - Irvine CA, US
SHARAD SUNDARARAJAN - Union City NJ, US

G09B 5/14
G09B 5/06
G09B 5/10

A room and activity management server computer (“server”) and processing methods are disclosed. In some embodiments, the server is programmed to manage multi-role activities collaboratively performed by multiple participants in a physical room with multiple media communications. For each activity, the server is configured to assign roles to participants and enforce rules that govern how the participants in given roles interact with one another or engage with the room at given times. In enforcing the rules, the server is programmed to improve such interaction and engagement through multimedia communications.

20200193853, Jun 18, 2020

Feb 26, 2020

16/802491

- Armonk NY, US
Maria D. Chang - Irvington NY, US
Sharad Sundararajan - Yorktown Heights NY, US
Ravi Tejwani - Cambridge MA, US
Patrick D. Watson - Montrose NY, US

G09B 5/12
G09B 5/06
G09B 7/02

A method and system of providing education content to a student is provided. A topic to be taught to a student is received. A user model of the student is identified. An electronic content model for the topic is determined. One or more presentation templates are identified based on the electronic content model. A concept map is determined based on the one or more presentation templates. A presentation template is selected from the one or more presentation templates. A segment of an educational content of the topic is provided to a user device of the student, based on the selected presentation template.

20200081966, Mar 12, 2020

Nov 19, 2019

16/688102

- Armonk NY, US
Jason Crawford - Yorktown Heights NY, US
Jonathan Lenchner - Yorktown Heights NY, US
Satya V. Nitta - Yorktown Heights NY, US
Christian Makaya - Summit NJ, US
Sharad C. Sundararajan - Yorktown Heights NY, US

G06F 17/24
G06F 17/27

A meeting summarization method, system, and computer program product, include capturing notes of a user including a time stamp from the user associated with a meeting, synchronizing an agenda of the meeting and the notes of the user based on a correlation between a time stamp of a topic on the agenda and a time stamp of the notes of the user, and analyzing the synchronized topic and the notes to determine highlights of the meeting based on a co-occurrence of the time stamp of the notes of the user and the time stamp of the topic on the agenda.

20190213256, Jul 11, 2019

Jan 11, 2018

15/868399

- Armonk NY, US
Maria D. CHANG - Irvington NY, US
Jae-Wook AHN - Nanuet NY, US
Sharad SUNDARARAJAN - Yorktown Heights NY, US
Tengfei MA - White Plains NY, US

G06F 17/27
G06F 17/30
G06N 3/04
G06N 3/08

Method and apparatus for generating natural language observations using sequence-to-sequence models are provided. The method includes receiving a first electronic document and dynamically generating, without requiring user intervention, a first natural language observation corresponding to a first portion of the first electronic document by processing the first portion of the first electronic document using a first sequence-to-sequence model. A second natural language observation is received for the first portion of the first electronic document, and the generated first natural language observation and the authoritative natural language observation are provided. The method further includes receiving an evaluation of the first natural language observation and the second natural language observation, and refining the first sequence-to-sequence model based on the evaluation of the first natural language observation and second natural language observation.