Patents by Inventor Alexey Varganov

Alexey Varganov 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).

  • METHOD AND APPARATUS TO GENERATE BREATH VOC SIGNATURES THAT CAN BE CORRELATED TO PHYSIOLOGICAL METRICS INDICATIVE OF SPECIFIC MEDICAL CONDITIONS
    Publication number: 20210247368
    Abstract: A novel approach, based on hybrid nanostructure gas sensors, to correlate metrics related to specific medical conditions to a signature created by the sensor's response to the Volatile Organic Compounds (VOCs) contained in human breath.
    Type: Application
    Filed: April 15, 2021
    Publication date: August 12, 2021
    Inventors: Sundip R. DOSHI, Heng Chia SU, Albert CHEN, Alexey VARGANOV, Moazzem HOSSAIN, Herve LAMBERT
  • Anomaly detection in cybersecurity and fraud applications
    Patent number: 11005872
    Abstract: A technique includes acquiring a plurality of records, each record having a corresponding number of attributes determining, based on local density measurements for numeric and normally distributed attribute value frequency measure for categorical attributes tags in the training portion of the plurality of records which is then used in probabilistic classifier for anomaly detection. A second set of implementations is proposed using ensemble method of combining deep learning algorithms for the same.
    Type: Grant
    Filed: May 31, 2019
    Date of Patent: May 11, 2021
    Assignee: GURUCUL SOLUTIONS, LLC
    Inventors: Nilesh Dherange, Saryu Nayyar, Naveen Vijayaraghavan, Puneet Gajria, Alexey Varganov
  • ANOMALY DETECTION IN CYBERSECURITY AND FRAUD APPLICATIONS
    Publication number: 20200382536
    Abstract: A technique includes acquiring a plurality of records, each record having a corresponding number of attributes determining, based on local density measurements for numeric and normally distributed attribute value frequency measure for categorical attributes tags in the training portion of the plurality of records which is then used in probabilistic classifier for anomaly detection. A second set of implementations is proposed using ensemble method of combining deep learning algorithms for the same.
    Type: Application
    Filed: May 31, 2019
    Publication date: December 3, 2020
    Inventors: Nilesh Dherange, Saryu Nayyar, Naveen Vijayaraghavan, Puneet Gajria, Alexey Varganov
  • PATTERN RECOGNITION ALGORITHM FOR IDENTIFYING AND QUANTIFYING SINGLE AND MIXED CONTAMINANTS IN AIR WITH AN ARRAY OF NANOMATERIAL-BASED GAS SENSORS
    Publication number: 20200064291
    Abstract: A method is described for identifying and quantifying single and mixed contaminants in air by reading nanohybrid gas sensors multivariate output and processing it inside the algorithm. The algorithm analyzes sensor signal in real time and outputs estimated values for concentrations of target gases.
    Type: Application
    Filed: August 21, 2019
    Publication date: February 27, 2020
    Inventors: Alexey Varganov, Sundip R. Doshi
  • NANO GAS SENSOR SYSTEM BASED ON A HYBRID NANOSTRUCTURE SENSOR ARRAY, ELECTRONICS, ALGORITHMS, AND NORMALIZED CLOUD DATA TO DETECT, MEASURE AND OPTIMIZE DETECTION OF GASES TO PROVIDE HIGHLY GRANULAR AND ACTIONABLE GAS SENSING INFORMATION
    Publication number: 20200064294
    Abstract: A gas sensor architecture and implementation, based on hybrid nanostructures, combining a plurality of inter-dependent technologies, including chemical engineering and material science, embedded electronics at board and IC level, MEMS, data science, mobile and Cloud-based applications, to deliver a combination of performance and functional attributes in a solution that is manufacturable in very high volume and will enable the collection of highly granular information related to the presence and concentration of target gases in ambient air.
    Type: Application
    Filed: August 21, 2019
    Publication date: February 27, 2020
    Inventors: Sundip R. DOSHI, Heng Chia SU, Albert CHEN, Alexey VARGANOV, Moazzem HOSSAIN, Herve LAMBERT