Koushik Kar

7929527, Apr 19, 2011

Apr 18, 2008

12/148410

Kadangode K. Ramakrishnan - Berkeley Heights NJ, US
Shivkumar Kalyanaraman - Niskayuna NY, US
Koushik Kar - Hawthorne NY, US
Vicky Sharma - Troy NY, US

H04L 12/56

370389, 370536, 370542, 714746

A transport protocol that achieves improved performance in an environment where paths are lossy and a plurality of paths are employed to transfer data, essentially in parallel, from a source to a destination. The protocol is implemented with the aid of an aggregate flow manager (AFM) at the source that considers and controls the data flow through the plurality of paths. With some preselected regularity the AFM determines a number of packets to be included in a Forward Error Correction (FEC) block of packets, creates the block, and transmits the segments of the block over the plurality of paths. As necessary, the destination sends information to the source of what additional information needs to be sent. This additional information might be reactive error correcting (RFEC) packets, or a retransmission of the missed packets.

20030227877, Dec 11, 2003

Feb 4, 2003

10/357558

Koushik Kar - Troy NY, US
Muralidharan Kodialam - Marlboro NJ, US

H04L012/26

370/252000, 370/216000, 370/254000, 370/238000

A packet network employs restorable routing with service level guarantees. Restorable routing generates two disjoint paths through a network of nodes interconnected by links for a connection request demand between and ingress-egress node pair. Restorable routing employs minimum interference criteria to generate the two disjoint paths such that two disjoint paths cause little or no interference with demands of future connection requests between different ingress-egress pairs. Restorable routing generates maximum 2-route flows for the network ingress-egress node pairs to determine corresponding sets of 2-critical links. A reduced network is formed, its links are weighted based on criticality indices generated from the sets of 2-critical links, and the relatively optimal two disjoint paths are computed for the connection request. One of the two disjoint paths is selected as an active path for routing data of the connection request, and the other disjoint path is selected as the backup path.

20220366231, Nov 17, 2022

Apr 27, 2021

17/241790

- Armonk NY, US
- Troy NY, US
Aparna Gupta - Latham NY, US
Sai Radhakrishna Manikant Sarma Palepu - Troy NY, US
Koushik Kar - Waterford NY, US
Lucian Popa - San Jose CA, US
Kumar Bhaskaran - Englewood Cliffs NJ, US
Nitin Gaur - Round Rock TX, US

G06N 3/08
G06N 3/04

A graph neural network can be built and trained to predict a risk of an entity. A multi-relational graph network can include a first graph network and a second graph network. The first graph network can include a first set of nodes and a first set of edges connecting some of the nodes in the first set. The second graph network can include a second set of nodes and a second set of edges connecting some of the nodes in the second set. The first set of nodes and the second set of nodes can represent entities, the first set of edges can represent a first relationship between the entities and the second set of edges can represent a second relationship between the entities. A graph convolutional network (GCN) can be structured to incorporate the multi-relational graph network, and trained to predict a risk associated with a given entity.

20170211837, Jul 27, 2017

Aug 14, 2015

15/327701

- Troy NY, US
Koushik Kar - Waterford NY, US
Sandipan Mishra - Troy NY, US
John T. Wen - Melrose NY, US

F24F 11/00
G05B 19/042
G05D 23/19

A collaborative energy management system, method and program product for a multi-zone space. A system is disclosed including: a plurality of environment sensors located throughout the multi-zone space; an adaptive learning system that collects environment data from the environment sensors and generates a correlation model that correlates historical environment data with HVAC settings; and an optimization system that utilizes the correlation model, inputted preferences received from a plurality of occupants within the multi-zone space, and energy usage goals to periodically generate new HVAC settings for controlling an HVAC system for the multi-zone space.