Patents by Inventor Hareesh

Hareesh 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: 20210125709
    Abstract: An apparatus (10) includes at least one electronic processor (20) programmed to: display, on a display device (24), at least one workflow (27) corresponding to an imaging examination order (11) for a patient, the workflow including a set of phases (31) over predicted time windows for the workflow, each phase in the set of phases including one or more steps (33) to be performed in the workflow; and dynamically update the at least one workflow on the display device with additional data related to one or more steps of the phases of the at least one workflow.
    Type: Application
    Filed: October 14, 2020
    Publication date: April 29, 2021
    Inventors: Yuechen QIAN, Ranjith Naveen TELLIS, Sandeep Madhukar DALAL, Olga STAROBINETS, Hareesh CHAMARTHI, Vjay PARTHASARATHY
  • Patent number: 10977520
    Abstract: Provided is a process that includes: determining that a training set lacks an image of an object with a given pose, context, or camera; composing, based on the determination, a video capture task; obtaining a candidate video; selecting a subset of frames of the candidate video as representative; determining that a given frame among the subset depicts the object from the given pose, context, or camera; and augmenting the training set with the given frame.
    Type: Grant
    Filed: December 18, 2019
    Date of Patent: April 13, 2021
    Assignee: Slyce Acquisition Inc.
    Inventors: Adam Turkelson, Kyle Martin, Christopher Birmingham, Sethu Hareesh Kolluru
  • Publication number: 20210097021
    Abstract: Described herein are systems and methods for providing a correlated content organization in a content management system based upon a training set. In accordance with an embodiment, the systems and methods described herein can build a training set based upon observations of received inputs to determine patterns that are used often in content merges. Once a pattern is established, the systems and methods can provide indications of proposed merges based upon the training set and rules established therefrom that fit the same, or similar (e.g., within a defined variant) of the pattern. The system can then receive an indication of whether the suggestion is accepted or rejected, and such decision can be fed back into the learning system.
    Type: Application
    Filed: January 17, 2020
    Publication date: April 1, 2021
    Inventors: Hareesh S. Kadlabalu, Bhageerath Arasachetty, Praveen Kumar Jayaram, Shyam Babu Prasad
  • Publication number: 20210081469
    Abstract: Described herein are systems and methods for providing custom component compilation within a cloud-based content hub environment. In accordance with an embodiment, embodiments can allow developers to work with a variety of technologies and optimize a page or site for runtime performance, including in some instances the use of a custom (component) compiler, for use during compilation of a particular component of a website.
    Type: Application
    Filed: September 11, 2020
    Publication date: March 18, 2021
    Inventors: Robin Fisher, David Peterson, Hareesh S. Kadlabalu
  • Publication number: 20210081470
    Abstract: Described herein are systems and methods automatic selection for dynamic site compilation in a cloud-based content hub environment. In accordance with an embodiment, embodiments provide an artificial intelligence/machine learning (AI/ML) engine that monitors and collects both content and consumption analytics associated with content items on a webpage. Based upon an analysis of such metrics, automatic suggestions can be generated for content to be tagged such that the content item can be statically compiled with the website (optimized for viewing speed and user experience), or dynamically fetched/loaded on a load or refresh of the website.
    Type: Application
    Filed: September 11, 2020
    Publication date: March 18, 2021
    Inventors: Robin Fisher, David Peterson, Hareesh S. Kadlabalu
  • Publication number: 20210081471
    Abstract: Described herein are systems and methods automatic selection for dynamic site compilation in a cloud-based content hub environment. In accordance with an embodiment, embodiments provide an artificial intelligence/machine learning (AI/ML) engine that monitors and collects both content and consumption analytics associated with content items on a webpage. Based upon an analysis of such metrics, content can be automatically tagged such that the content item can be statically compiled with the website (optimized for viewing speed and user experience), or dynamically fetched/loaded on a load or refresh of the website.
    Type: Application
    Filed: September 11, 2020
    Publication date: March 18, 2021
    Inventors: Robin Fisher, David Peterson, Hareesh S. Kadlabalu
  • Publication number: 20210084120
    Abstract: Described herein are systems and methods for providing a user interface for dynamic site compilation in a cloud-based content hub environment. In accordance with an embodiment, embodiments provide a user interface that allows a non-technical user, as well as technical users, such as website developers, to “mark”, or flag, various components of a website or page. One category of such marks or flags can indicate that such items marked or flagged with this category of are to be dynamically loaded upon website access (e.g., fetched from a source and then loaded into a website for viewing), while another category of mark or flag can indicate items so marked to be fixed at compile time (e.g., static cache, that is the content is compiled within the published website).
    Type: Application
    Filed: September 11, 2020
    Publication date: March 18, 2021
    Inventors: Robin Fisher, David Peterson, Hareesh S. Kadlabalu
  • Publication number: 20210057044
    Abstract: A method for sequence typing using whole-genome sequence data, comprising: receiving a plurality of gene marker sets, each gene marker set comprises sequence data for a plurality of gene markers from an organism, and comprising a plurality of alleles for each gene marker; generating a set of machine learning models for each gene marker in the gene marker set configured to predict an allele value for a gene marker when sequence data for that gene marker is missing or unusable; receiving whole-genome sequence data for the organism, comprising missing or unusable sequence data for a gene marker in the plurality of gene markers; analyzing, using the set of machine learning models, the received whole-genome sequence data to determine one or more probable allele values for that gene maker; and displaying the one or more probable allele values.
    Type: Application
    Filed: July 9, 2020
    Publication date: February 25, 2021
    Inventors: Reza Sharifi Sedeh, Yu Fan, Hareesh Chamarthi, Andrew G. Hoss
  • Publication number: 20210026817
    Abstract: A code generator platform may receive source metadata and a target data model. The code generator platform may determine a parameter, of the target data model, that is associated with the attribute. The code generator platform may map, based on the attribute and the source metadata, the data to the parameter of the target data model. The code generator platform may generate, based on mapping the data to the parameter, data transformation code associated with the data and the target data model, wherein the data transformation code, when executed, generates target data that corresponds to the data according to the target data model. The code generator platform may perform an action associated with the data transformation code to permit the data transformation code to be executed in order to update a target database with the target data.
    Type: Application
    Filed: December 13, 2019
    Publication date: January 28, 2021
    Inventors: Manigandan ESWARAN, Surya Ram Hareesh VEMULA, Ramesh Babu Singamsetty, Pratap Kumar Mittapally, Gauri Kelkar, SaiPriya Rayala, Vibha Mohan, Alagushankar Sathasivam
  • Publication number: 20210016227
    Abstract: A reverse osmosis unit for processing a feed solution is provided. The unit includes a pressure vessel includes an inlet end, an outlet end, and a vessel body extending between the inlet end and the outlet end. The reverse osmosis unit further includes a plurality of first membrane modules positioned within the pressure vessel. Each first membrane module of the plurality of first membrane modules has a first salt permeance value. At least one second membrane module is positioned within the pressure vessel and coupled in flow communication to the plurality of first membrane modules. The at least one second membrane module has a second salt permeance value that is different from the first salt permeance value.
    Type: Application
    Filed: October 1, 2020
    Publication date: January 21, 2021
    Inventors: Hua WANG, Hareesh Kumar Reddy KOMMEPALLI, Andrew Philip SHAPIRO
  • Publication number: 20210004589
    Abstract: Provided is a technique for determining a context of an image and an object depicted by the image based on the context. A trained context classification model may determine a context of an image, and a trained object recognition model may determine an object depicted by the image based on the image and the context. Provided is also a technique for determining an object depicted within an image based on an input location of an input detected by a display screen. An object depicted within an image may be detected based on a distance in feature space between an image feature vector of an image and a feature vector of the object, and a distance in pixel-space between an input location of an input and location of the object within the image.
    Type: Application
    Filed: August 17, 2020
    Publication date: January 7, 2021
    Inventors: Adam Turkelson, Kyle Martin, Sethu Hareesh Kolluru
  • Patent number: 10854719
    Abstract: The present invention provides a metal nitride platform for semiconductor devices, including, a pre-defined array of catalyst sites, disposed on a substrate. Metal nitride islands with lateral to vertical size ratios of at least greater than one (1) are disposed on the array of catalyst sites, where the surfaces of the metal nitride islands are with reduced dislocation densities and side walls with bending of dislocations. The platform of metal nitride islands is further used to build electrically and optically-active devices. The present invention also provides a process for the preparation of a metal nitride platform, selectively, on the array of catalyst sites, in the presence of a reactive gas and precursors and under preferred reaction conditions, to grow metal nitride islands with lateral to vertical size ratios of at least greater than one (1).
    Type: Grant
    Filed: March 17, 2017
    Date of Patent: December 1, 2020
    Assignee: Indian Institute of Science
    Inventors: Srinivasan Raghavan, Hareesh Chandrasekar, Nagaboopathy Mohan, Dhayalan Shakthivel
  • Patent number: 10828605
    Abstract: A reverse osmosis unit for processing a feed solution is provided. The unit includes a pressure vessel includes an inlet end, an outlet end, and a vessel body extending between the inlet end and the outlet end. The reverse osmosis unit further includes a plurality of first membrane modules positioned within the pressure vessel. Each first membrane module of the plurality of first membrane modules has a first salt permeance value. At least one second membrane module is positioned within the pressure vessel and coupled in flow communication to the plurality of first membrane modules. The at least one second membrane module has a second salt permeance value that is different from the first salt permeance value.
    Type: Grant
    Filed: March 13, 2015
    Date of Patent: November 10, 2020
    Assignee: BL TECHNOLOGIES, INC.
    Inventors: Hua Wang, Hareesh Kumar Reddy Kommepalli, Andrew Philip Shapiro
  • Publication number: 20200349635
    Abstract: In accordance with an embodiment, described herein is a system and method for providing a content creation tool for use with shoppable content data. A content management system, such as, for example, an Oracle Content and Experience Cloud (OCE) environment, enables the creation of shoppable content that provides a purchasing opportunity directly from the content itself. The system can include, support, or operate in accordance with a content creation tool, that can incorporate aspects of artificial intelligence, for use with shoppable content data, including, for example, performing automatic detection of objects in an image; and automatic discovery of products to be mapped with the shoppable objects or shoppable content; for use in publishing the shoppable content in mobile application, web, or other document formats.
    Type: Application
    Filed: July 22, 2020
    Publication date: November 5, 2020
    Inventors: Sandip Ghoshal, Vinod Kandukuri, Vivek Peter, Hareesh S. Kadlabalu
  • Patent number: 10755128
    Abstract: Provided is a technique for determining a context of an image and an object depicted by the image based on the context. A trained context classification model may determine a context of an image, and a trained object recognition model may determine an object depicted by the image based on the image and the context. Provided is also a technique for determining an object depicted within an image based on an input location of an input detected by a display screen. An object depicted within an image may be detected based on a distance in feature space between an image feature vector of an image and a feature vector of the object, and a distance in pixel-space between an input location of an input and location of the object within the image.
    Type: Grant
    Filed: December 18, 2019
    Date of Patent: August 25, 2020
    Assignee: Slyce Acquisition Inc.
    Inventors: Adam Turkelson, Kyle Martin, Sethu Hareesh Kolluru
  • Publication number: 20200257748
    Abstract: In accordance with an embodiment, described herein is a system and method for delivery of content based on matching of user profiles with content metadata. The system enables delivery of personalized content, without the overhead of managing segment targeting rules, while providing content publishers or marketers with complete control over such personalization. A recommendation service or application program interface, provided by a computer, cloud computing environment, or other type of computer system, enables receipt and processing of requests, from client devices, for personalized content. A recommendation engine delivers content assets in response to a request from a client device. The recommendation engine determines a content channel and a user identity associated with the request, and then delivers content assets based on rules governing the matching of content asset metadata with the user profile. While content classification evolves over time, so also does the personalization of delivered content.
    Type: Application
    Filed: February 7, 2020
    Publication date: August 13, 2020
    Inventors: Kiran Bellare, Hareesh S. Kadlabalu, Kamal Kapur, David Jones, David Kamholz
  • Publication number: 20200256670
    Abstract: Illustrative embodiments of determining characteristics of reflective surfaces and transparent materials are disclosed. In at least one illustrative embodiment, a method of determining characteristics of transparent materials includes using a camera to capture light from a target structure with light regions and dark regions. Before the light is captured by the camera, it passes through a transparent specimen, reflects off of a reflective surface, and passes through the transparent specimen a second time. Deformations in the transparent specimen caused by, e.g., static or dynamic stresses deflect the light passing through it. The amount of the deflection can be used to determine the stresses in the specimen.
    Type: Application
    Filed: April 30, 2020
    Publication date: August 13, 2020
    Inventors: Hareesh V. Tippur, Chengyun Miao
  • Patent number: 10738075
    Abstract: Described herein are new anti-cancer compounds and methods of using such compounds, acting through a new mechanism of action by simultaneous inhibition of leukemia inhibitory factor (LIF) and MDM2.
    Type: Grant
    Filed: July 18, 2018
    Date of Patent: August 11, 2020
    Assignee: Evestra, Inc.
    Inventors: Hareesh Nair, Bindu Santhamma, Klaus Nickisch
  • Patent number: 10728886
    Abstract: A communication device and method adapted for network data decoding and connection modes switching in a mobile communication system consisting of connecting to a network in a first mode comprising decoding data received from the network; receiving a message from the network; transmitting a negative acknowledgement (NACK) for the message to the network; identifying a retransmission of the message from the network; and switching to a second mode comprising skipping data decoding based on the identified retransmission of the message from the network.
    Type: Grant
    Filed: June 24, 2016
    Date of Patent: July 28, 2020
    Assignee: Apple Inc.
    Inventors: Thomas Klingenbrunn, Ravi Gopalan, Lokesh Naidu Royapati, Hareesh Kodali, Phani Boddapati, Pradeep Hosanagara Nagaraja
  • Publication number: 20200231750
    Abstract: A method for preparing a poly(phenylene ether) includes feeding air to a continuous flow reactor that contains a reaction mixture including a phenol, a transition metal catalyst, and an organic solvent; and oxidatively polymerizing the reaction mixture at a specified temperature and pressure to form a poly(phenylene ether). The reaction mixture has a residence time in the continuous flow reactor of less than or equal to 30 minutes. Poly(phenylene ether)s prepared by the method and articles including the poly(phenylene ether)s are also described.
    Type: Application
    Filed: November 14, 2019
    Publication date: July 23, 2020
    Inventors: Sivakumar Sreeramagiri, Samir Anapat, Rajesh Chowdhury, Ravinath Manchana, Bhanu Kiran Vankayala, Hareesh Shamrao Deshpande