Patents by Inventor Puneet Sharma

Puneet Sharma has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20190312855
    Abstract: In some examples, a secure compliance protocol may include a virtual computing instance (VCI) deployed on a hypervisor and may be provisioned with hardware computing resources. In some examples the VCI may also include a cryptoprocessor to provide cryptoprocessing to securely communicate with a plurality of nodes, and a plurality of agents to generate a plurality of compliance proofs; the VCI may communicate with a server corresponding to a node of the plurality of nodes; and receive a time stamp corresponding to at least one compliance proof based on a metric of a connected device.
    Type: Application
    Filed: April 6, 2018
    Publication date: October 10, 2019
    Inventors: Puneet Sharma, Arun Raghuramu, David Lee
  • Patent number: 10430417
    Abstract: System and method for visual Bayesian data fusion are disclosed. In an example, a plurality of datasets associated with a topic are obtained from a data lake. Each of the plurality of datasets include information corresponding to various attributes of the topic. Further, the plurality of datasets are joined to obtain a joined dataset. Furthermore, distribution associated with a target attribute is predicted using Bayesian modeling by selecting a plurality of attributes (k) based on mutual information with the target attribute in the joined dataset, learning a minimum spanning tree based Bayesian structure using the selected attributes and the target attribute, learning conditional probabilistic tables at each node of the minimum spanning tree based Bayesian structure; and predicting the distribution associated with the target attribute by querying the conditional probabilistic tables, thereby facilitating visual Bayesian data fusion.
    Type: Grant
    Filed: March 9, 2017
    Date of Patent: October 1, 2019
    Assignee: Tata Consultancy Services Limited
    Inventors: Geetika Sharma, Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal, Aditeya Pandey, Kaushal Ashokbhai Paneri, Gunjan Sehgal
  • Patent number: 10425293
    Abstract: Example implementations disclosed herein can be used to allocate network resources in a software defined network (SDN). In one example implementation, a method can include receiving a plurality of resource allocation proposals from a plurality of controller modules, instructing the controller modules to generate votes for the plurality of resource allocation proposals, and selecting one of the plurality of resource allocation proposals based on the votes to instantiate the selected resource allocation proposal in the SDN.
    Type: Grant
    Filed: July 30, 2014
    Date of Patent: September 24, 2019
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Alvin AuYoung, Yadi Ma, Sujata Banerjee, Junggun Lee, Puneet Sharma, Yoshio Turner
  • Patent number: 10404807
    Abstract: An example method, for implementation by an example notification system, comprises creating a TCP connection between a client device and a cloud device; sending, by the cloud device, a first UDP message to the client device; and waiting, by the client device, to receive the first UDP message until a predetermined time after the creation of the TCP connection. If the client device has not received the first UDP message by the predetermined time, the method comprises sending, by the client device, a second UDP message to the cloud device, wherein sending the second UDP message starts an open time period during which the client device is able to receive UDP messages from the cloud device.
    Type: Grant
    Filed: October 16, 2015
    Date of Patent: September 3, 2019
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Puneet Sharma, Roque Luis Scheer
  • Patent number: 10382580
    Abstract: Examples relate to scaling persistent connections for cloud computing. In some examples, a data packet is used to determine connection information of the first connection. At this stage, server portion of the first connection is closed by using the connection information to send a close command to the cloud server. In response to a keepalive signal from the client computing device, the connection information is used to send a keepalive response to the client computing device to maintain a client portion of the first connection. In response to a service request from the client computing device, a service notification including the service request is sent to the client computing device, where the client computing device initiates a second connection with the cloud server to process the service request.
    Type: Grant
    Filed: August 29, 2014
    Date of Patent: August 13, 2019
    Inventors: Puneet Sharma, Wenjie Lin, David Lee, Subramoniam Iyer, Ajay Gupta, Sarbajit Chatterjee, Deepti Sharma
  • Patent number: 10373700
    Abstract: A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions.
    Type: Grant
    Filed: March 11, 2013
    Date of Patent: August 6, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Puneet Sharma, Lucian Mihai Itu, Ali Kamen, Bogdan Georgescu, Xudong Zheng, Huseyin Tek, Dorin Comaniciu, Dominik Bernhardt, Fernando Vega-Higuera, Michael Scheuering
  • Publication number: 20190237184
    Abstract: A method of generating a first image from a medical text report comprises acquiring a medical text report comprising one or more natural language statements; analysing the medical text report, using a computer-implemented analysis process, to determine for each natural language statement whether the statement satisfies a predetermined criterion with respect to a first medical finding; and responsive to a determination that a said statement satisfies the predetermined criterion, adding an image representing the first medical finding to an image template, to generate the first image. Also disclosed is an apparatus and computer program.
    Type: Application
    Filed: January 22, 2019
    Publication date: August 1, 2019
    Inventors: Puneet Sharma, Dominik Neumann, Ruth J. Soenius, Ulrich Hartung
  • Publication number: 20190238497
    Abstract: An example system may comprise a set of network devices in a network topology, the network topology having a plurality of external links that connect to other networks, wherein the system comprises a processing resource to: assign multiple Internet Protocol (IP) addresses to one of the network interfaces of a client device; communicate the multiple IP addresses to a network interface of the client device; receive a packet from the one of the network interfaces, wherein the packet includes a source address that is one of the multiple IP addresses; select an external link of the plurality of external links based on the source address of the packet; and forward the packet via the external link of the plurality of external links.
    Type: Application
    Filed: January 31, 2018
    Publication date: August 1, 2019
    Inventors: Jean Tourrilhes, Puneet Sharma, Yang Zhang
  • Publication number: 20190238567
    Abstract: An example system may comprise a first computing device comprising instructions executable by a hardware processor to: create, responsive to detecting a second computing device initially attempting to connect to a network, an unpopulated baseline profile for the second computing device; populate the baseline profile with initial processes running on the second computing device and initial system calls made by the initial processes during an initial operation time period of the second computing device; monitor, during a subsequent operation time period of the second computing device, subsequent processes running on the second computing device and subsequent system calls made by the subsequent processes; and detect an attack on the second computing device based on a comparison of the subsequent processes and the subsequent system calls to the populated baseline profile.
    Type: Application
    Filed: January 31, 2018
    Publication date: August 1, 2019
    Inventors: Puneet Sharma, Anand Mudgerikar
  • Publication number: 20190238455
    Abstract: An example network controller including: a processing resource; and a memory resource storing machine readable instructions to cause the processing resource to adjust, responsive to a factor whose corresponding value is independent of a traffic state of a particular data path, an availability of the particular data path between two of the plurality of static nodes such that the plurality of static nodes are allowed to communicate within a network via the particular data path made available.
    Type: Application
    Filed: January 31, 2018
    Publication date: August 1, 2019
    Inventors: Mario Sanchez, Kunal Mahajan, Puneet Sharma
  • Publication number: 20190238410
    Abstract: A method for verifying network intents may include decomposing at least one network intent into a plurality of sub-verification tasks, generating a set of normalized configurations for a plurality of network devices in a target network based on a set of current configurations for the plurality of network devices and generating a network graph based on the set of normalized configurations and a topology of the target network. The method may further include analyzing the plurality of sub-verification tasks and the network graph to determine if the set of current configurations for the plurality of network devices satisfies the at least one network intent. If the at least one network intent is not satisfied, a report may be generated indicating that the target network is not in compliance. If the at least one network intent is satisfied, information may be provided indicating that target network is in compliance.
    Type: Application
    Filed: January 31, 2018
    Publication date: August 1, 2019
    Inventors: Joon Myung Kang, Huazhe WANG, Puneet SHARMA
  • Publication number: 20190223819
    Abstract: For non-invasive EP mapping, a sparse number of electrodes (e.g., 10 in a typical 12-lead ECG exam setting) are used to generate an EP map without requiring preoperative 3D image data (e.g. MR or CT). An imager (e.g., a depth camera) captures the surface of the patient and may be used to localize electrodes in any positioning on the patient. Two-dimensional (2D) x-rays, which are commonly available, and the surface of the patient are used to segment the heart of the patient. The EP map is then generated from the surface, heart segmentation, and measurements from the electrodes.
    Type: Application
    Filed: January 24, 2018
    Publication date: July 25, 2019
    Inventors: Tommaso Mansi, Tiziano Passerini, Puneet Sharma, Terrence Chen, Ahmet Tuysuzoglu, Shun Miao, Alexander Brost
  • Patent number: 10354744
    Abstract: A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions.
    Type: Grant
    Filed: November 4, 2013
    Date of Patent: July 16, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Puneet Sharma, Michael Scheuering, Lucian Mihai Itu, Ali Kamen, Bogdan Georgescu, Xudong Zheng, Huseyin Tek, Dorin Comaniciu, Dominik Bernhardt, Fernando Vega-Higuera
  • Patent number: 10350434
    Abstract: In order to provide radiation dose estimation during a treatment, one or more characteristics of the patient are used. A camera captures the patient so that the characteristics (e.g., organ position) may be derived. Radiation exposure and/or absorption are determined from the characteristics. A Monte Carlo, machine-learnt, or other model estimates the dosage for different locations in the patient. During the treatment, the dosage may be presented as a warning when exceeding a threshold or other visualization.
    Type: Grant
    Filed: December 11, 2015
    Date of Patent: July 16, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Saikiran Rapaka, Stefan Kluckner, Carol Novak, Puneet Sharma, Dorin Comaniciu
  • Publication number: 20190200880
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Application
    Filed: March 4, 2019
    Publication date: July 4, 2019
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Publication number: 20190205606
    Abstract: Methods and systems for artificial intelligence based medical image segmentation are disclosed. In a method for autonomous artificial intelligence based medical image segmentation, a medical image of a patient is received. A current segmentation context is automatically determined based on the medical image and at least one segmentation algorithm is automatically selected from a plurality of segmentation algorithms based on the current segmentation context. A target anatomical structure is segmented in the medical image using the selected at least one segmentation algorithm.
    Type: Application
    Filed: July 19, 2017
    Publication date: July 4, 2019
    Inventors: Shaohua Kevin Zhou, Mingqing Chen, Hui Ding, Bogdan Georgescu, Mehmet Akif Gulsun, Tae Soo Kim, Atilla Peter Kiraly, Xiaoguang Lu, Jin-hyeong Park, Puneet Sharma, Shanhui Sun, Daguang Xu, Zhoubing Xu, Yefeng Zheng
  • Publication number: 20190197576
    Abstract: The present disclosure generally relates to an electronic system, a computerized method, and a non-transitory computer-readable storage medium for a merchant to rebate customers. The system comprises a merchant server communicatively linked to a payment network.
    Type: Application
    Filed: December 21, 2018
    Publication date: June 27, 2019
    Applicant: Mastercard International Incorporated
    Inventors: Navneet JAIN, Piyush SHARMA, Puneet GANDHI
  • Patent number: 10326638
    Abstract: Systems, methods, and computer-readable executable instructions are provided for implementing an energy proportional network architecture. Implementing an energy proportional network architecture can include determining a number of desired network criteria and a desired number of access ports. A number of switches for the energy proportional network architecture can be calculated from the desired number of access ports and the number of desired network criteria. Implementing an energy proportional network architecture can also include using the number of calculated switches to form the energy proportional network.
    Type: Grant
    Filed: October 31, 2011
    Date of Patent: June 18, 2019
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Sujata Banerjee, Joseph P. Chabarek, Puneet Sharma, Jayaram Mudigonda
  • Publication number: 20190172207
    Abstract: A method of reviewing neural scans includes receiving at least one landmark corresponding to an anatomical region. A plurality of images of tissue including the anatomical region is received and a neural network configured to differentiate between healthy tissue and unhealthy tissue within the anatomical region is generated. The neural network is generated by a machine learning process configured to receive the plurality of images of tissue and generate a plurality of weighting factors configured to differentiate between healthy tissue and unhealthy tissue. At least one patient image of tissue including the anatomical region is received and a determination is made by the neural network whether the at least one patient image of tissue includes healthy or unhealthy tissue.
    Type: Application
    Filed: December 5, 2017
    Publication date: June 6, 2019
    Inventors: Benjamin L. Odry, Hasan Ertan Cetingul, Mariappan S. Nadar, Puneet Sharma, Shaohua Kevin Zhou, Dorin Comaniciu
  • Patent number: 10299862
    Abstract: A medical system is provided for three-dimensional hemodynamic quantification. Comprehensive three-dimensional (3D) plus time (3D+t) assessment of flow patterns inside the heart are provided by a combination of lumped-parameter modeling and computational flow dynamic modeling. Using medical scanning, the lumped parameter model is personalized to a given patient. The personalized lumped-parameter model provides pressure curves (i.e., pressure as a function of time) for one or more locations. Using geometry of the patients heart segmented from the medical scanning and the pressure curves as boundary conditions, the computational flow dynamics model calculates the absolute pressure for any location (e.g., for a three-dimensional field of locations) in the patient heart at any one or more phases of the cardiac cycle. More accurate absolute pressure may be provided without invasive measurement.
    Type: Grant
    Filed: February 5, 2016
    Date of Patent: May 28, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Bogdan Georgescu, Lucian Mihai Itu, Ali Kamen, Tommaso Mansi, Viorel Mihalef, Tiziano Passerini, Rapaka Saikiran, Puneet Sharma