Patents by Inventor Siavosh Rezvan Behbahani
Siavosh Rezvan Behbahani 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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Patent number: 11773455Abstract: Methods, compositions, and systems are provided for detecting one or more effects of antibiotic usage for an infectious disease or other health condition on the microbiome of an individual, monitoring such effects, and/or determining, displaying, or promoting a therapy for such an effect. Methods, compositions, and systems are also provided for generating and comparing microbiome composition and/or functional diversity datasets. Methods, compositions, and systems are also provided for generating a characterization model for antibiotic usage.Type: GrantFiled: September 9, 2016Date of Patent: October 3, 2023Assignee: Psomagen, Inc.Inventors: Zachary Apte, Jessica Richman, Daniel Almonacid, Siavosh Rezvan Behbahani
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Patent number: 11741274Abstract: Fast simulation of a scenario (e.g., simulating the scenario once as opposed to multiple times) to determine performance metric(s) of a configuration of one or more components of an autonomous vehicle may include training a perception error model based at least in part on a difference between a prediction output by a perception component associated with a future time and a perception output associated with that future time once that future time has arrived. A contour or heat map output by the perception error model may be used to determine one or more performance metric(s) associated with a component of the autonomous vehicle and identify which component may cause a degradation of a performance metric.Type: GrantFiled: November 20, 2020Date of Patent: August 29, 2023Assignee: Zoox, Inc.Inventors: Andrew Scott Crego, Sai Anurag Modalavalasa, Subhasis Das, Siavosh Rezvan Behbahani, Aditya Pramod Khadilkar
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Patent number: 11697412Abstract: Techniques and methods for performing collision monitoring using error models. For instance, a vehicle may generate sensor data using one or more sensors. The vehicle may then analyze the sensor data using systems in order to determine parameters associated with the vehicle and parameters associated with another object. Additionally, the vehicle may process the parameters associated with the vehicle using error models associated with the systems in order to determine a distribution of estimated locations associated with the vehicle. The vehicle may also process the parameters associated with the object using the error models in order to determine a distribution of estimated locations associated with the object. Using the distributions of estimated locations, the vehicle may determine the probability of collision between the vehicle and the object.Type: GrantFiled: November 13, 2019Date of Patent: July 11, 2023Assignee: Zoox, Inc.Inventors: Andrew Scott Crego, Ali Ghasemzadehkhoshgroudi, Sai Anurag Modalavalasa, Andreas Christian Reschka, Siavosh Rezvan Behbahani, Lingqiao Qin
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Patent number: 11648939Abstract: Techniques and methods for performing collision monitoring using system data. For instance, a vehicle may generate sensor data using one or more sensors. The vehicle may then analyze the sensor data using systems in order to determine parameters associated with the vehicle and parameters associated with another object. Additionally, the vehicle may determine uncertainties associated with the parameters and then process the parameters using the uncertainties. Based at least in part on the processing, the vehicle may determine a distribution of estimated locations associated with the vehicle and a distribution of estimated locations associated with the object. Using the distributions of estimated locations, the vehicle may determine the probability of collision between the vehicle and the object.Type: GrantFiled: November 13, 2019Date of Patent: May 16, 2023Assignee: Zoox, Inc.Inventors: Andrew Scott Crego, Siavosh Rezvan Behbahani, Ali Ghasemzadehkhoshgroudi, Sai Anurag Modalavalasa, Andreas Christian Reschka, Lingqiao Qin
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Patent number: 11628850Abstract: Techniques associated with generating simulation scenarios for simulating a vehicle controller are discussed herein. Log data may include sensor data captured by sensors of a vehicle. The log data may represent objects in an environment. Objects may be associated with a region of a discretized representation of the environment relative to the vehicle. Specific states of objects (relative position in a region type, velocity, classification, size, etc.) may represent an instance of an occupation. Log data can be aggregated based on similar region type and/or object state. A statistical model over object states can be determined for each region type and can later be sampled to determine simulation parameters. A simulation scenario can be generated based on the simulation parameters, and a vehicle controller can be evaluated based on the simulation scenario.Type: GrantFiled: May 5, 2020Date of Patent: April 18, 2023Assignee: Zoox, Inc.Inventors: Gerrit Bagschik, Andrew Scott Crego, Aditya Pramod Khadilkar, Muhammad Farooq Rama, Siavosh Rezvan Behbahani
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Patent number: 11590969Abstract: Techniques and methods for training and/or using a machine learned model that identifies unsafe events. For instance, computing device(s) may receive input data, such as vehicle data generated by one or more vehicles and/or simulation data representing a simulated environment. The computing device(s) may then analyze features represented by the input data using one or more criteria in order to identify potential unsafe events represented by the input data. Additionally, the computing device(s) may receive ground truth data classifying the identified events as unsafe events or safe events. The computing device(s) may then train the machine learned model using at least the input data representing the unsafe events and the classifications. Next, when the computing device(s) and/or vehicles receive input data, the computing device(s) and/or vehicles may use the machine learned model to determine if the input data represents unsafe events.Type: GrantFiled: December 4, 2019Date of Patent: February 28, 2023Assignee: Zoox, Inc.Inventors: Andrew Scott Crego, Ali Ghasemzadehkhoshgroudi, Sai Anurag Modalavalasa, Andreas Christian Reschka, Siavosh Rezvan Behbahani, Lingqiao Qin
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Patent number: 11338825Abstract: Simulating realistic movement of an object, such as a vehicle or pedestrian, that accounts for unusual behavior may comprise generating an agent behavior model based at least in part on output of a perception component of an autonomous vehicle and determining a difference between the output and log data that includes indications of an actual maneuver of location of an object. Simulating movement of an object may comprise determining predicted motion of the object using the perception component and modifying the predicted motion based at least in part on the agent behavior model.Type: GrantFiled: June 1, 2020Date of Patent: May 24, 2022Assignee: Zoox, Inc.Inventors: Gerrit Bagschik, Andrew Scott Crego, Mahsa Ghafarianzadeh, Siavosh Rezvan Behbahani
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Publication number: 20210370972Abstract: Simulating realistic movement of an object, such as a vehicle or pedestrian, that accounts for unusual behavior may comprise generating an agent behavior model based at least in part on output of a perception component of an autonomous vehicle and determining a difference between the output and log data that includes indications of an actual maneuver of location of an object. Simulating movement of an object may comprise determining predicted motion of the object using the perception component and modifying the predicted motion based at least in part on the agent behavior model.Type: ApplicationFiled: June 1, 2020Publication date: December 2, 2021Inventors: Gerrit Bagschik, Andrew Scott Crego, Mahsa Ghafarianzadeh, Siavosh Rezvan Behbahani
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Publication number: 20210347372Abstract: Techniques associated with generating simulation scenarios for simulating a vehicle controller are discussed herein. Log data may include sensor data captured by sensors of a vehicle. The log data may represent objects in an environment. Objects may be associated with a region of a discretized representation of the environment relative to the vehicle. Specific states of objects (relative position in a region type, velocity, classification, size, etc.) may represent an instance of an occupation. Log data can be aggregated based on similar region type and/or object state. A statistical model over object states can be determined for each region type and can later be sampled to determine simulation parameters. A simulation scenario can be generated based on the simulation parameters, and a vehicle controller can be evaluated based on the simulation scenario.Type: ApplicationFiled: May 5, 2020Publication date: November 11, 2021Inventors: Gerrit Bagschik, Andrew Scott Crego, Aditya Pramod Khadilkar, Muhammad Farooq Rama, Siavosh Rezvan Behbahani
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Publication number: 20210339741Abstract: Techniques and methods associated with performing monitoring associated with operations of autonomous vehicles. For instance, the vehicle may capture sensor data using one or more sensors. The vehicle may then analyze the sensor data using systems in order to determine estimated locations associated with the vehicle and estimated locations associated with situations that may result in a potential unsafe scenario represented by the sensor data. Additionally, the vehicle may determine a distribution of estimated locations associated with the vehicle and using the distributions of estimated locations, the vehicle may determine risk probabilities associated with operations of the vehicle. The vehicle may then redefine or update a route or maneuver to perform when the risk probability exceeds a threshold.Type: ApplicationFiled: April 30, 2020Publication date: November 4, 2021Inventors: Siavosh Rezvan Behbahani, Ali Ghasemzadehkhoshgroudi, Sai Anurag Modalavalasa
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Publication number: 20210139023Abstract: Techniques and methods for performing collision monitoring using error models. For instance, a vehicle may generate sensor data using one or more sensors. The vehicle may then analyze the sensor data using systems in order to determine parameters associated with the vehicle and parameters associated with another object. Additionally, the vehicle may process the parameters associated with the vehicle using error models associated with the systems in order to determine a distribution of estimated locations associated with the vehicle. The vehicle may also process the parameters associated with the object using the error models in order to determine a distribution of estimated locations associated with the object. Using the distributions of estimated locations, the vehicle may determine the probability of collision between the vehicle and the object.Type: ApplicationFiled: November 13, 2019Publication date: May 13, 2021Inventors: Andrew Scott Crego, Ali Ghasemzadehkhoshgroudi, Sai Anurag Modalavalasa, Andreas Christian Reschka, Siavosh Rezvan Behbahani, Lingqiao Qin
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Publication number: 20210139024Abstract: Techniques and methods for performing collision monitoring using system data. For instance, a vehicle may generate sensor data using one or more sensors. The vehicle may then analyze the sensor data using systems in order to determine parameters associated with the vehicle and parameters associated with another object. Additionally, the vehicle may determine uncertainties associated with the parameters and then process the parameters using the uncertainties. Based at least in part on the processing, the vehicle may determine a distribution of estimated locations associated with the vehicle and a distribution of estimated locations associated with the object. Using the distributions of estimated locations, the vehicle may determine the probability of collision between the vehicle and the object.Type: ApplicationFiled: November 13, 2019Publication date: May 13, 2021Inventors: Andrew Scott Crego, Siavosh Rezvan Behbahani, Ali Ghasemzadehkhoshgroudi, Sai Anurag Modalavalasa, Andreas Christian Reschka, Lingqiao Qin
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Patent number: 10793907Abstract: A method for at least one of characterizing, diagnosing, and treating an endocrine system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the endocrine system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the endocrine system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.Type: GrantFiled: July 12, 2016Date of Patent: October 6, 2020Assignee: PSOMAGEN, INC.Inventors: Zachary Apte, Daniel Almonacid, Jessica Richman, Siavosh Rezvan Behbahani
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Patent number: 10777320Abstract: A method for at least one of characterizing, diagnosing, and treating a mental health associated condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the mental health associated condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the mental health associated condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.Type: GrantFiled: April 13, 2016Date of Patent: September 15, 2020Assignee: PSOMAGEN, INC.Inventors: Zachary Apte, Daniel Almonacid, Jessica Richman, Siavosh Rezvan Behbahani
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Patent number: 10755800Abstract: A method for at least one of characterizing, diagnosing, and treating an endocrine system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the endocrine system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the endocrine system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.Type: GrantFiled: July 12, 2016Date of Patent: August 25, 2020Assignee: PSOMAGEN, INC.Inventors: Zachary Apte, Daniel Almonacid, Jessica Richman, Siavosh Rezvan Behbahani
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Publication number: 20190367968Abstract: Methods, compositions, and systems are provided for detecting one or more a bacterial vaginosis issues by characterizing the microbiome of an individual, monitoring such effects, and/or determining, displaying, or promoting a therapy for the bacterial vaginosis issue. Methods, compositions, and systems are also provided for generating and comparing microbiome composition and/or functional diversity datasets. Methods, compositions, and systems are also provided for generating a characterization model and/or therapy model for bacterial vaginosis.Type: ApplicationFiled: September 9, 2016Publication date: December 5, 2019Inventors: Zachary Apte, Jessica Richman, Daniel Almonacid, Siavosh Rezvan Behbahani
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Patent number: 10409955Abstract: A method for at least one of characterizing, diagnosing, and treating a locomotor system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the locomotor system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the locomotor system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.Type: GrantFiled: April 13, 2016Date of Patent: September 10, 2019Assignee: uBiome, Inc.Inventors: Zachary Apte, Daniel Almonacid, Jessica Richman, Siavosh Rezvan Behbahani
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Patent number: 10410749Abstract: A method for at least one of characterizing, diagnosing, and treating a cutaneous condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the cutaneous condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the cutaneous condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.Type: GrantFiled: April 13, 2016Date of Patent: September 10, 2019Assignee: uBiome, Inc.Inventors: Zachary Apte, Daniel Almonacid, Jessica Richman, Siavosh Rezvan Behbahani
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Patent number: 10357157Abstract: A method for at least one of characterizing, diagnosing, and treating a condition associated with microbiome-derived functional features in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.Type: GrantFiled: April 13, 2016Date of Patent: July 23, 2019Assignee: uBiome, Inc.Inventors: Zachary Apte, Daniel Almonacid, Jessica Richman, Siavosh Rezvan Behbahani
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Publication number: 20190211378Abstract: Methods, compositions, and systems are provided for detecting one or more a cognition health issues by characterizing the microbiome of an individual, monitoring such effects, and/or determining, displaying, or promoting a therapy for the cognition health issue. Methods, compositions, and systems are also provided for generating and comparing microbiome composition and/or functional diversity datasets. Methods, compositions, and systems are also provided for generating a characterization model and/or therapy model for insomnia issues, light sleep issues, headache issues, sinusitis issues, and poor concentration issues.Type: ApplicationFiled: September 9, 2016Publication date: July 11, 2019Inventors: Zachary Apte, Jessica Richman, Daniel Almonacid, Siavosh Rezvan Behbahani