Patents by Inventor Rahul Garg

Rahul Garg 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: 20190251515
    Abstract: The present disclosure envisages an automated system for onboarding. The system comprising a database to store details of existing employees, a vacancy repository to store details related to vacant positions within an organization, a recruitment module to receive candidate application details corresponding to a plurality of candidates, a test module to provide test case to candidates, an assessment module to provide assessment score, a selection module to select candidate based on the assessment score, a pre-boarding module to identify and receive missing details of the selected candidates to obtain complete details, a verifier module to verify the complete details of the selected candidates to obtain verified details, an onboarding module to receive verified details and facilitate onboarding of the selected candidates.
    Type: Application
    Filed: July 18, 2017
    Publication date: August 15, 2019
    Applicant: Reliance Industries Limited
    Inventors: Harjeet Singh Khanduja, Ashish Kukreja, Rahul Mukherjee, Kaushik Chaniyara, Ramamurthy Srinivasan, Parul Garg, Hitesh Wankhede, Kuldeep Sharma, Mayank Garg, Navneet Tewani, Neha Sahai, Riddhi Naik, Hardik Dave
  • Publication number: 20190214076
    Abstract: Disclosed is a memory system comprising a sense amplifier electrically coupled to a first bitline and a second bitline associated with a column of a memory array, a bl transistor electrically coupled to the first bitline, wherein the bl transistor is configured to receive as input a first electrical signal from the first bitline, and a blb transistor electrically coupled to the second bitline, wherein the blb transistor is configured to receive as input a second electrical signal from the second bitline, wherein an output of the bl transistor and an output of the blb transistor are electrically coupled together as a common output, and wherein the sense amplifier is configured to receive as an input the common output of the bl transistor and the blb transistor.
    Type: Application
    Filed: September 18, 2018
    Publication date: July 11, 2019
    Inventors: Harish SHANKAR, Manish GARG, Rahul Krishnakumar NADKARNI, Rajesh KUMAR, Michael PHAN
  • Patent number: 10320633
    Abstract: Techniques for providing insights for web service providers are disclosed. In some embodiments, a system, process, and/or computer program product for providing insights for web service providers includes monitoring user activities on a web site; generating a dashboard for displaying a summary of the monitored user activities on the web site; and generating a recommendation for improving performance of the web site for display on the dashboard. For example, the recommendation can be for improving performance of search results on the web site and/or for improving content navigation on the web site.
    Type: Grant
    Filed: June 8, 2015
    Date of Patent: June 11, 2019
    Assignee: BloomReach Inc.
    Inventors: Wai Hung Wong, Nishant Deshpande, Pradeep Muthukrishnan, Vaibhav Avinash Chidrewar, Charlie Luo, Rahul Bhandari, Ashutosh Garg
  • Publication number: 20190164097
    Abstract: A method and system to conduct an audit for control and maintain the quality of a digital facility. The system executes instructions to causes one or more processors to perform a method. The method includes a first step of collecting a first set of data and a second step of creating one or more tasks. The method includes a third step of receiving a second set of data. The method includes a fourth step of analyzing the first set of data and the second set of data and a fifth step of assigning the one or more tasks. The method includes a sixth step of obtaining the third set of data. The method includes a seventh step of determining the deviation in the first set of data and the third set of data and an eighth step of rating a plurality of auditors.
    Type: Application
    Filed: February 15, 2018
    Publication date: May 30, 2019
    Inventors: Sidharth Gupta, Kadam Jeet Jain, Rahul Chaudhary, Punit Garg, Khilan Haria, Ankita Gandhi, Vidit Sinha, Rajdeep Singh, Abhishek Nair, Shashank Rao, Shubhangi Agarwal, Abhishek Malani, Raghavendra Reddy, Ribin Paikattu Kavil, Rahul Boggaram Nagarjuna Gupta
  • Publication number: 20190164105
    Abstract: A method and system for quality control of a facility based on Internet of things. The system obtains data of the facility from plurality of architectural sources. The system creates a digital replica of the facility and defines plurality of control point levels for each region of the plurality of regions. The system allocates plurality of smart devices based on plurality of micro-descriptors. The system collects data associated with the facility and deciphers the data into one or more matrix. The system analyzes data with the pre-defined standard quality matrix in real time. The system assigns a degree of severity of the identified one or more issues. The system apprises one or more workforces associated with the facility to resolve the one or more issues including high degree of severity and the plurality of smart devices to take action to resolve the one or more issues.
    Type: Application
    Filed: February 15, 2018
    Publication date: May 30, 2019
    Inventors: Sidharth Gupta, Kadam Jeet Jain, Rahul Chaudhary, Punit Garg, Khilan Haria, Ankita Gandhi, Vidit Sinha, Rajdeep Singh, Abhishek Nair, Shashank Rao, Shubhangi Agarwal, Abhishek Malani, Raghavendra Reddy, Ribin Paikattu Kavil, Rahul Boggaram Nagarjuna Gupta
  • Publication number: 20190165966
    Abstract: A method and system for quality control of a digital facility based on machine learning. The system connects a plurality of elements associated with a plurality of regions of the digital facility. The system allocates a unique identity to the plurality of elements. The system receives a set of data associated with the plurality of regions. The system collects a set of data associated with a plurality of micro descriptors. The system processes the second set of data to discover a plurality of patterns. The system predicts issues associated with the plurality of elements. The system assigns high severity issue to the one or more severe issues. The system stores information associated with the digital facility. The system updates the patterns associated with the plurality of elements. The system recommends characteristic parameters to the plurality of elements. The system notifies manpower associated with the digital facility.
    Type: Application
    Filed: February 15, 2018
    Publication date: May 30, 2019
    Inventors: Sidharth Gupta, Kadam Jeet Jain, Rahul Chaudhary, Punit Garg, Khilan Haria, Ankita Gandhi, Vidit Sinha, Rajdeep Singh, Abhishek Nair, Shashank Rao, Shubhangi Agarwal, Abhishek Malani, Raghavendra Reddy, Ribin Paikattu Kavil, Rahul Boggaram Nagarjuna Gupta
  • Publication number: 20190164104
    Abstract: A system for quality control of a facility based on feedback from multiple sources. The system receives data of the facility from plurality of data sources. The system creates one or more digital replica of the facility and classifies each region of the plurality of regions into plurality of checkpoint levels. The system assigns a plurality of micro-descriptors to the last level of the plurality of checkpoint levels and collects a feedback for the plurality of micro-descriptors from plurality of sources. The system collects data associated with the facility including facility-specific matrix and manpower specific matrix. The system maps the facility specific matrix with pre-defined quality specific matrix and evaluates deviation of the mapped data to identify one or more issues associated with the facility. The system assigns degree of severity to the identified issue and alerts if degree of severity is high.
    Type: Application
    Filed: February 15, 2018
    Publication date: May 30, 2019
    Inventors: Sidharth Gupta, Kadam Jeet Jain, Rahul Chaudhary, Punit Garg, Khilan Haria, Ankita Gandhi, Vidit Sinha, Rajdeep Singh, Abhishek Nair, Shashank Rao, Shubhangi Agarwal, Abhishek Malani, Raghavendra Reddy, Ribin Paikattu Kavil, Rahul Boggaram Nagarjuna Gupta
  • Publication number: 20190050062
    Abstract: Systems and methods for context-sensitive hand interaction with an immersive environment are provided. An example method includes determining a contextual factor for a user and selecting an interaction mode based on the contextual factor. The example method may also include monitoring a hand of the user to determine a hand property and determining an interaction with an immersive environment based on the interaction mode and the hand property.
    Type: Application
    Filed: August 10, 2018
    Publication date: February 14, 2019
    Inventors: Shiqi Chen, Jonathan Tompson, Rahul Garg
  • Publication number: 20190033988
    Abstract: A method for controller tracking with multiple degrees of freedom includes generating depth data at an electronic device based on a local environment proximate the electronic device. A set of positional data is generated for at least one spatial feature associated with a controller based on a pose of the electronic device, as determined using the depth data, relative to the at least one spatial feature associated with the controller. A set of rotational data is received that represents three degrees-of-freedom (3DoF) orientation of the controller within the local environment, and a six degrees-of-freedom (6DoF) position of the controller within the local environment is tracked based on the set of positional data and the set of rotational data.
    Type: Application
    Filed: July 26, 2017
    Publication date: January 31, 2019
    Inventors: Joel Hesch, Shiqi Chen, Johnny Lee, Rahul Garg
  • Patent number: 10139917
    Abstract: Systems and methods are disclosed for gesture-initiated actions in videoconferences. In one implementation, a processing device receives content streams during a communication session, identifies a request for feedback within one of the content streams, based on an identification of the request for feedback, processes the content streams to identify one or more gestures within at least one of the content streams, and based on a determination that a first gesture of the one or more gestures is relatively more prevalent across the content streams than one or more other gestures, initiates an action with respect to the communication session.
    Type: Grant
    Filed: September 12, 2016
    Date of Patent: November 27, 2018
    Assignee: Google LLC
    Inventors: Mehul Nariyawala, Rahul Garg, Navneet Dalal, Thor Carpenter, Gregory Burgess, Timothy Psiaki, Mark Chang, Antonio Bernardo Monteiro Costa, Christian Plagemann, Chee Chew
  • Publication number: 20180253663
    Abstract: The present disclosure discloses method and system for extracting relevant entities from a text corpus. The method comprises receiving, by the entity extraction computing device, a text corpus and an entity, determining at least one feature for each block of text from the text corpus, where the at least one feature corresponds to predefined one or more feature heads, calculating a score for each block of text from the text corpus based on training of the entity extraction system, determining a template from one or more templates based on the score, where the one or more templates are generated based on the training of the entity extraction system, and extracting at least one relevant entity from the text corpus, with respect to the entity, based on the template. The method and system disclosed in the present disclosure may be used to extract relevant entities across various domains by training the system.
    Type: Application
    Filed: March 20, 2017
    Publication date: September 6, 2018
    Inventors: Arthi Venkataraman, Ajay Anantha, Kanika Singla, Rahul Garg
  • Patent number: 9916618
    Abstract: A method, system and computer program product for conducting an online auction of a plurality of heterogeneous items between a plurality of selling and potential purchasing parties. The method includes the steps of accepting an offer in respect of an item, accepting one or more subsequent offers that is/are preferable to a previously accepted offer, and rejecting the previously accepted offer. While the offer/s is/are binding on a party making the offer, acceptance of the offer/s is/are not binding on a party accepting the offer. Classes of “seller strategies”, for offering items to potential purchasing parties, and “buyer strategies”, to decide which offers to accept, are also disclosed. As a result of the interaction of the buyer and seller strategies, the auction mechanism converges to an allocation of items to buyers at particular prices and assists in discovering a free and fair competitive equilibrium price.
    Type: Grant
    Filed: December 21, 2012
    Date of Patent: March 13, 2018
    Assignee: Ebay, Inc.
    Inventors: Rahul Garg, Debasis Mishra
  • Publication number: 20170038830
    Abstract: In one aspect, a method and system are described for receiving input for a virtual user in a virtual environment. The input may be based on a plurality of movements performed by a user accessing the virtual environment. Based on the plurality of movements, the method and system can include detecting that at least one portion of the virtual user is within a threshold distance of a collision zone, the collision zone being associated with at least one virtual object. The method and system can also include selecting a collision mode for the virtual user based on the at least one portion and the at least one virtual object and dynamically modifying the virtual user based on the selected collision mode.
    Type: Application
    Filed: August 4, 2016
    Publication date: February 9, 2017
    Inventors: Manuel Christian CLEMENT, Alexander James FAABORG, Rahul GARG, Jonathan TOMPSON, Shiqi CHEN
  • Publication number: 20160378204
    Abstract: A system for tracking a first electronic device, such as a handheld electronic device, in a virtual reality environment generated by a second electronic device, such as a head mounted display may include the fusion of data collected by sensors of the electronic device with data collected by sensors of the head mounted display, together with data collected by a front facing camera of the electronic device related to the front face of the head mounted display.
    Type: Application
    Filed: June 20, 2016
    Publication date: December 29, 2016
    Inventors: Shiqi CHEN, Rahul GARG, Christian PLAGEMANN, Dominik Philemon KAESER, Pierre GEORGEL
  • Patent number: 9454641
    Abstract: Systems and methods for modeling functional magnetic resonance image datasets using a multivariate auto-regressive model which captures temporal dynamics in the data, and creates a reduced representation of the dataset representative of functional connectivity of voxels with respect to brain activity. Raw spatio-temporal data is processed using a multivariate auto-regressive model, wherein coefficients in the model with high weights are retained as indices that best describe the full spatio-temporal data. When there are a relatively small number of temporal samples of the data, sparse regression techniques are used to build the model. The model coefficients are used to perform data processing functions such as indexing, prediction, and classification.
    Type: Grant
    Filed: July 25, 2014
    Date of Patent: September 27, 2016
    Assignee: International Business Machines Corporation
    Inventors: Guillermo A. Cecchi, Rahul Garg, Ravishankar Rao
  • Patent number: 9445048
    Abstract: Systems and methods are disclosed for gesture-initiated actions in videoconferences. In one implementation, a processing device receives one or more content streams as part of a communication session. The processing device identifies, within the one or more content streams, a request for feedback. The processing device processes, based on an identification of a request for feedback within the one of the plurality of content streams, the one or more content streams to identify a presence of one or more gestures within at least one of the one or more content streams. The processing device initiates, based on an identification of the presence of one or more gestures within at least one of the one or more content streams, an action with respect to the communication session.
    Type: Grant
    Filed: July 29, 2014
    Date of Patent: September 13, 2016
    Assignee: GOOGLE INC.
    Inventors: Mehul Nariyawala, Rahul Garg, Navneet Dalal, Thor Carpenter, Greg Burgess, Tim Psiaki, Mark Chang, Antonio Bernardo Monteiro Costa, Christian Plagemann, Chee Chew
  • Patent number: 9135320
    Abstract: A system and method for data anonymization using hierarchical data clustering and perturbation is provided. The system includes a computer system and an anonymization program executed by the computer system. The system converts the data of a high-dimensional dataset to a normalized vector space and applies clustering and perturbation techniques to anonymize the data. The conversion results in each record of the dataset being converted into a normalized vector that can be compared to other vectors. The vectors are divided into disjointed, small-sized clusters using hierarchical clustering processes. Multi-level clustering can be performed using suitable algorithms at different clustering levels. The records within each cluster are then perturbed such that the statistical properties of the clusters remain unchanged.
    Type: Grant
    Filed: June 13, 2013
    Date of Patent: September 15, 2015
    Assignee: Opera Solutions, LLC
    Inventors: Kanav Goyal, Chayanika Pragya, Rahul Garg
  • Patent number: 9047692
    Abstract: Systems, methods, and computer storage mediums are provided for creating a scene scan from a group of photographic images. An exemplary method includes determining a set of common features for at least one pair of photographic images. The features include a portion of an object captured in each of a first and a second photographic image included in the pair. The first and second photographic images may be captured from different optical centers. A similarity transform for the at least one pair of photographic images is the determined. The similarity transform is provided in order to render the scene scan from each pair of photographic images. At least one of the rotation factor, the scaling factor, or the translation factor associated with the similarity transform is used to position each pair of photographic images such that the set of common features between a pair of, at least in part, align.
    Type: Grant
    Filed: December 20, 2012
    Date of Patent: June 2, 2015
    Assignee: Google Inc.
    Inventors: Steven Maxwell Seitz, Rahul Garg
  • Patent number: 9036921
    Abstract: Systems, methods and articles of manufacture for generating sequences of face and expression aligned images are presented. An embodiment includes determining a plurality of candidate images, computing a similarity distance between an input image and each of the candidate images based on facial features in the input image and the candidate images, comparing the computed similarity distances, selecting a candidate image based on the comparing, and adding the selected candidate image to an image sequence for real-time display. Embodiments select images from the image sequence as they are being added to the image sequence and scale, rotate and translate each image so that a face appearing in a selected image is aligned with a face appearing in a subsequently selected image from the image sequence. In this way, embodiments are able to render arbitrarily large image collections efficiently and in real time to display a face and expression aligned movie.
    Type: Grant
    Filed: February 25, 2014
    Date of Patent: May 19, 2015
    Assignee: Google Inc.
    Inventors: Steven Maxwell Seitz, Rahul Garg, Irena Kemelmaher
  • Publication number: 20140336998
    Abstract: Systems and methods for modeling functional magnetic resonance image datasets using a multivariate auto-regressive model which captures temporal dynamics in the data, and creates a reduced representation of the dataset representative of functional connectivity of voxels with respect to brain activity. Raw spatio-temporal data is processed using a multivariate auto-regressive model, wherein coefficients in the model with high weights are retained as indices that best describe the full spatio-temporal data. When there are a relatively small number of temporal samples of the data, sparse regression techniques are used to build the model. The model coefficients are used to perform data processing functions such as indexing, prediction, and classification.
    Type: Application
    Filed: July 25, 2014
    Publication date: November 13, 2014
    Inventors: Guillermo A. Cecchi, Rahul Garg, Ravishankar Rao