Patents by Inventor Siddhartha Asthana
Siddhartha Asthana 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).
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Publication number: 20240403369Abstract: Methods and systems for training artificial intelligence (AI)-based models using limited labeled data are disclosed. The method performed by a server system includes accessing a tabular dataset including tabular data that further labeled data and unlabeled data. Method includes generating labeled features including labeled numerical features and labeled categorical features based on the labeled data and generating unlabeled features including unlabeled numerical features and unlabeled categorical features based on the unlabeled data. Method includes determining, via a first transformer model, a contextual numerical embeddings based on the labeled numerical features and the unlabeled numerical features. Method includes determining, via a second transformer model, a contextual categorical embeddings based on the labeled categorical features and the unlabeled categorical features.Type: ApplicationFiled: June 4, 2024Publication date: December 5, 2024Applicant: MASTERCARD INTERNATIONAL INCORPORATEDInventors: Akshay Sethi, Ayush Agarwal, Nancy Agrawal, Siddhartha Asthana, Sonia Gupta
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Publication number: 20240357781Abstract: A method for electro-magnetic interference shielding (EMI) of a battery box (10) or other EMI emitting device in a vehicle. The method includes the steps of forming a battery box enclosure (10) with an effective amount of a shielding material (20) attached to the enclosure (10). In one embodiment the box (10) is an SMC or injection molded preformed enclosure (10), and a metallic material (20) is attached to the enclosure (10) on an interior or exterior side of the enclosure (10). In another embodiment the enclosure (10) and mesh (20) are formed in the same mold cavity (24) for embedding the shielding material (20) in the enclosure (10).Type: ApplicationFiled: April 5, 2022Publication date: October 24, 2024Applicant: Magna Exteriors Inc.Inventors: Ranjit Pachha, Axel Lachenmaier, Siddhartha Asthana, Brian A. Krull
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Publication number: 20240119459Abstract: Methods and server systems for improving accuracy of authorization optimizer are described herein. Method performed by server system includes receiving a Non-Sufficient Funds (NSF) error message from an acquirer server. Method includes accessing historical transaction data from a transaction database. The historical transaction data includes transaction related information associated with a plurality of users. Method includes generating a plurality of transaction features associated with the user based on the historical transaction data. Method includes determining via an authorization optimizer model, an optimal time slot from a plurality of time slots for the user based on the plurality of transaction features associated with the user. The optimal time slot indicates an optimal time window for the acquirer server to transmit an upcoming recurring payment request to the payment account of the user.Type: ApplicationFiled: September 25, 2023Publication date: April 11, 2024Inventors: Ankur Debnath, Ammar Ahmad Khan, Ankur Arora, Anubhav Gupta, Govind Vitthal Waghmare, Hardik Wadhwa, Lalasa Dheekollu, Siddhartha Asthana
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Publication number: 20240119457Abstract: Methods and server systems for computing fraud risk scores for various merchants associated with an acquirer described herein. The method performed by a server system includes accessing merchant-related transaction data including merchant-related transaction indicators associated with a merchant from a transaction database. Method includes generating a merchant-related transaction features based on the merchant-related indicators. Method includes generating via risk prediction models, for a payment transaction with the merchant, merchant health and compliance risk scores, merchant terminal risk scores, merchant chargeback risk scores, and merchant activity risk scores based on the merchant-related transaction features. Method includes facilitating transmission of a notification message to an acquirer server associated with the merchant.Type: ApplicationFiled: October 6, 2023Publication date: April 11, 2024Applicant: MASTERCARD INTERNATIONAL INCORPORATEDInventors: Smriti Gupta, Adarsh Patankar, Akash Choudhary, Alekhya Bhatraju, Ammar Ahmad Khan, Amrita Kundu, Ankur Saraswat, Anubhav Gupta, Awanish Kumar, Ayush Agarwal, Brian M. McGuigan, Debasmita Das, Deepak Yadav, Diksha Shrivastava, Garima Arora, Gaurav Dhama, Gaurav Oberoi, Govind Vitthal Waghmare, Hardik Wadhwa, Jessica Peretta, Kanishk Goyal, Karthik Prasad, Lekhana Vusse, Maneet Singh, Niranjan Gulla, Nitish Kumar, Rajesh Kumar Ranjan, Ram Ganesh V, Rohit Bhattacharya, Rupesh Kumar Sankhala, Siddhartha Asthana, Soumyadeep Ghosh, Sourojit Bhaduri, Srijita Tiwari, Suhas Powar, Susan Skelsey
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Publication number: 20240067802Abstract: A glass filled SMC composition having an effective amount of graphene for providing improved Izod impact strength, flexural strength and tensile properties over and SMC composition without graphene as an additive.Type: ApplicationFiled: December 23, 2021Publication date: February 29, 2024Applicant: Magna Exteriors Inc.Inventors: Ranjit Pachha, Siddhartha Asthana
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Publication number: 20230126708Abstract: Embodiments provide methods and systems for removing temporal biases in classification tasks. Method performed by server system includes accessing a transaction graph associated with a particular time duration and determining a set of local features and aggregate features associated with each node based on labeled data. Method includes generating via a machine learning model, a set of intermediate node representations associated with each of the plurality of nodes based on the set of local features and the set of aggregate features. Method includes generating via a fraud model and a timestep model, a fraud classification loss, and a timestep classification loss based on the set of intermediate node representations. Method includes determining an adversarial loss value based on the fraud classification loss and the timestep classification loss. Method includes determining a set of optimized parameters for the machine learning model based on the adversarial loss value.Type: ApplicationFiled: October 24, 2022Publication date: April 27, 2023Applicant: MASTERCARD INTERNATIONAL INCORPORATEDInventors: Hardik Wadhwa, Anubhav Gupta, Aditya Singh, Siddhartha Asthana, Ankur Arora
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Publication number: 20230095834Abstract: Embodiments provide methods and systems for identifying a re-routed transaction. Method performed by processor includes retrieving a plurality of transaction windows from a transaction database. Each transaction window includes a transaction declined under a restricted MCC. The method includes accessing a plurality of features associated with each transaction of each transaction window from the transaction database. The method includes predicting an output dataset of a plurality of reconstructed transaction windows based on feeding the input dataset to a trained neural network model. The method includes computing a corresponding reconstruction loss value for each transaction of each transaction window. The method includes comparing the corresponding reconstruction loss value for each transaction with a pre-determined threshold value.Type: ApplicationFiled: December 16, 2021Publication date: March 30, 2023Inventors: Anubhav GUPTA, Hardik WADHWA, Siddharth VIMAL, Siddhartha ASTHANA, Ankur ARORA, Paul John PAOLUCCI, Ganesh Nagendra PRASAD, Jonathan TRIVELAS, Samantha MEDINA
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Publication number: 20220405758Abstract: The disclosure herein relates to AI-based methods and systems of using machine-learning to identify deceptive merchants in payment transactions such as recurring payment transactions. For example, the AI-based systems and methods may train and use an aggregate merchant matcher based on entity matching to identify merchant identifiers and/or acquirers that may be used by a merchant, train and use transaction classifiers to classify transactions as deceptive, recognize merchants based on an N-density aware transaction embedding learned from transaction data, and train and use a merchant classifier to classify merchants as deceptive.Type: ApplicationFiled: June 21, 2021Publication date: December 22, 2022Applicant: MASTERCARD INTERNATIONAL INCORPORATEDInventors: Smriti GUPTA, Siddhartha ASTHANA, Ankur ARORA, Hardik WADHWA, Siddharth VIMAL
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Publication number: 20220374927Abstract: Embodiments provide methods and systems for predicting panic situation in a region and detecting panic states of merchants in the region. Method performed by server system includes accessing payment transaction data associated with merchants from transaction database and identifying panic trigger indicating panic situation in region based on transaction features associated with merchants. In response to identifying panic trigger, method includes generating transaction features based on payment transactions of merchant over time duration and determining association between merchant and merchant cluster based on transaction features associated with merchant. Method includes predicting time-series transaction data associated with merchant based on deep neural network model and merchant cluster associated with merchant, and calculating error between predicted time-series transaction data and real time-series transaction data associated with merchant.Type: ApplicationFiled: May 22, 2022Publication date: November 24, 2022Inventors: Ankur Arora, Harsimran Bhasin, Siddhartha Asthana, Hardik Wadhwa, Tanmoy Bhowmik, Karamjit Singh
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Publication number: 20220366493Abstract: Embodiments provide methods and systems for predicting overall account-level risks of cardholders. The method performed by server system includes accessing payment transaction data associated with a cardholder from a transaction database. Method includes generating a set of transaction features based on a set of transaction indicators. The method includes determining a plurality of network risk scores associated with the cardholder based on the set of transaction features and a set of trained machine learning models. The plurality of network risk scores includes a payment capacity risk score, a contactless payment risk score, and a set of account-level risk scores. The method includes aggregating the plurality of network risk scores to calculate an overall account risk score associated with the cardholder based on a statistical model. The method also includes transmitting a notification to the issuer server associated with the cardholder based on the overall account risk score.Type: ApplicationFiled: May 6, 2022Publication date: November 17, 2022Inventors: Ankur Arora, Lalasa Dheekollu, Siddhartha Asthana, Amit Kumar, Smriti Gupta, Ankur Saraswat, Kandukuri Karthik, Kushagra Agarwal, Himanshi Charotia, Anket Prakash Hirulkar, Janu Verma, Kanishk Goyal, Gaurav Dhama
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Publication number: 20220168935Abstract: A method of injection molding of a class A surface part comprising the steps of first providing a first injections mold cavity for forming a part geometry and a second injection mold cavity for molding of a final class A surface around the part geometry with a second material. Then a fiber reinforced polyamide with an effective amount of an ABS material is compounded and the first injection mold cavity is used to form a part geometry. Thereafter, a colored polyurethane material is injected around the part geometry in the second injection molded cavity for providing a class A surface coating on the part.Type: ApplicationFiled: November 24, 2021Publication date: June 2, 2022Applicant: Magna Exteriors Inc.Inventors: Alexis Baltazar-y-Jimenez, Siddhartha Asthana, Brian A. Krull
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Patent number: 11238243Abstract: There is a need for solutions for more effective and efficient natural language processing systems for short texts. This need can be addressed, for example, by a system configured to obtain an initial term-topic correlation data object for a plurality of digital documents, obtain a user-defined term-topic correlation data object for the plurality of digital documents, generate a refined term-topic correlation data object and a refined document-sentiment correlation data object for the plurality of digital documents based at least in part on the initial term-topic correlation data object and the user-defined term-topic correlation data object, obtain a user-defined document-topic correlation data object for the plurality of digital documents, and generate a refined document-topic correlation object for the plurality of digital documents based at least in part on the refined term-topic correlation data object and the user-defined document-topic correlation data object.Type: GrantFiled: September 27, 2019Date of Patent: February 1, 2022Assignee: Optum Technology, Inc.Inventors: Suman Roy, Malladi Vijay Varma, Siddhartha Asthana, Madhvi Gupta, Ashish Chaturvedi
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Patent number: 11120229Abstract: There is a need for solutions for more effective and efficient natural language processing systems. This need can be addressed, for example, by a system configured to obtain a term correlation data object for a plurality of digital documents; determine, based at least in part on the term correlation data object, a term-topic correlation data object for the plurality of digital documents; determine, based at least in part on the term-topic correlation data object, a document-topic correlation data object for the plurality of digital documents; determine, based at least in part on the term-topic correlation data object, a document-sentiment correlation data object for the plurality of digital documents; generate the topic detection based at least in part on the document-topic correlation object; and generate the sentiment detection based at least in part on the document-sentiment correlation object.Type: GrantFiled: September 4, 2019Date of Patent: September 14, 2021Assignee: OPTUM TECHNOLOGY, INC.Inventors: Suman Roy, Siddhartha Asthana, Anurag Miglani, Sumit Jindal, Surajit Das, Ashish Chaturvedi
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Patent number: 11068666Abstract: There is a need for more effective and efficient natural language processing (NLP) solutions. This need can be addressed by, for example, solutions for performing NLP analysis by utilizing joint topic-sentiment (JST) modeling.Type: GrantFiled: October 11, 2019Date of Patent: July 20, 2021Assignee: Optum Technology, Inc.Inventors: Ayan Sengupta, Suman Roy, Siddhartha Asthana, Gaurav Ranjan
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Patent number: 10997507Abstract: A system for reconciliation comprises a determination engine to determine whether data is structured or unstructured, a data structuring engine to structure the data, and a rule extraction engine to determine relations between pairs of values of a first set and a second set of data. The system further comprises a matching engine to generate a confidence score for each pair of the values, a categorization engine to classify the pairs of values into matched pairs and unmatched pairs, a validation engine to validate matching and classification of the pairs based on a user feedback, and a learning engine to store details pertaining to the validation of the matching and the classification over a period of time. The learning engine forwards the details to the rule extraction engine and the categorization engine to determine the relations between subsequent pairs of values and classify the pairs based on the stored details.Type: GrantFiled: June 1, 2017Date of Patent: May 4, 2021Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Srikrishna Raamadhurai, Abhishek Datta Sharma, Siddhartha Asthana, Suresh Venkatasubramaniyan, Himani Shukla, Madhura Shivaram, Chung-Sheng Li
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Publication number: 20210109994Abstract: There is a need for more effective and efficient natural language processing (NLP) solutions. This need can be addressed by, for example, solutions for performing NLP analysis by utilizing joint topic-sentiment (JST) modeling.Type: ApplicationFiled: October 11, 2019Publication date: April 15, 2021Inventors: Ayan Sengupta, Suman Roy, Siddhartha Asthana, Gaurav Ranjan
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Publication number: 20210097145Abstract: There is a need for solutions for more effective and efficient natural language processing systems for short texts. This need can be addressed, for example, by a system configured to obtain an initial term-topic correlation data object for a plurality of digital documents, obtain a user-defined term-topic correlation data object for the plurality of digital documents, generate a refined term-topic correlation data object and a refined document-sentiment correlation data object for the plurality of digital documents based at least in part on the initial term-topic correlation data object and the user-defined term-topic correlation data object, obtain a user-defined document-topic correlation data object for the plurality of digital documents, and generate a refined document-topic correlation object for the plurality of digital documents based at least in part on the refined term-topic correlation data object and the user-defined document-topic correlation data object.Type: ApplicationFiled: September 27, 2019Publication date: April 1, 2021Inventors: Suman Roy, Malladi Vijay Varma, Siddhartha Asthana, Madhvi Gupta, Ashish Chaturvedi
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Publication number: 20210064703Abstract: There is a need for solutions for more effective and efficient natural language processing systems. This need can be addressed, for example, by a system configured to obtain a term correlation data object for a plurality of digital documents; determine, based at least in part on the term correlation data object, a term-topic correlation data object for the plurality of digital documents; determine, based at least in part on the term-topic correlation data object, a document-topic correlation data object for the plurality of digital documents; determine, based at least in part on the term-topic correlation data object, a document-sentiment correlation data object for the plurality of digital documents; generate the topic detection based at least in part on the document-topic correlation object; and generate the sentiment detection based at least in part on the document-sentiment correlation object.Type: ApplicationFiled: September 4, 2019Publication date: March 4, 2021Inventors: Suman Roy, Siddhartha Asthana, Anurag Miglani, Sumit Jindal, Surajit Das, Ashish Chaturvedi
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Publication number: 20180349776Abstract: A system for reconciliation comprises a determination engine to determine whether data is structured or unstructured, a data structuring engine to structure the data, and a rule extraction engine to determine relations between pairs of values of a first set and a second set of data. The system further comprises a matching engine to generate a confidence score for each pair of the values, a categorization engine to classify the pairs of values into matched pairs and unmatched pairs, a validation engine to validate matching and classification of the pairs based on a user feedback, and a learning engine to store details pertaining to the validation of the matching and the classification over a period of time. The learning engine forwards the details to the rule extraction engine and the categorization engine to determine the relations between subsequent pairs of values and classify the pairs based on the stored details.Type: ApplicationFiled: June 1, 2017Publication date: December 6, 2018Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Srikrishna RAAMADHURAI, Abhishek Datta Sharma, Siddhartha Asthana, Suresh Venkatasubramaniyan, Himani Shukla, Madhura Shivaram, Chung-Sheng Li
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Publication number: 20050266237Abstract: A heat-activated sound and vibration damping sealant composition is provided. The composition includes dried automotive paint powder and an unsaturated polymer, where the paint powder reacts with the unsaturated polymer when the composition is heated to greater than 200° F. (80° C.). Upon heating, composition expands and increases in tensile strength. The composition may be provided in the form of a tape which is adhered to a substrate such as an automotive or appliance part and then exposed to elevated temperatures such as those encountered in automotive, appliance, or other commercial paint bake processes. Thereafter, the composition provides sound and vibration damping properties.Type: ApplicationFiled: May 28, 2004Publication date: December 1, 2005Inventors: Siddhartha Asthana, Michael Speicher