Patents by Inventor Waheed Ahmed

Waheed Ahmed 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: 20250122158
    Abstract: The present invention relates to a novel process for preparing isoxazoline-5,5-vinylcarboxylic acid derivatives of the formula (I)
    Type: Application
    Filed: December 1, 2022
    Publication date: April 17, 2025
    Inventors: Anton LISHCHYNSKYI, Frank MEMMEL, Mark James FORD, Wahed Ahmed MORADI
  • Publication number: 20240294539
    Abstract: The present invention relates to a novel process for preparing substituted cyclohexane amino acid esters and spiroketal-substituted cyclic keto-enols, and to novel intermediates or starting compounds that are passed through or used in the process according to the invention.
    Type: Application
    Filed: April 4, 2024
    Publication date: September 5, 2024
    Inventors: Thomas HIMMLER, Peter BRUECHNER, Werner LINDNER, Julia Johanna HAHN, Wahed Ahmed MORADI, Reiner FISCHER, Michael DOCKNER
  • Patent number: 12006327
    Abstract: The present invention relates to a novel process for preparing substituted cyclohexane amino acid esters and spiroketal-substituted cyclic keto-enols, and to novel intermediates or starting compounds that are passed through or used in the process according to the invention.
    Type: Grant
    Filed: April 3, 2019
    Date of Patent: June 11, 2024
    Assignee: BAYER AKTIENGESELLSCHAFT
    Inventors: Thomas Himmler, Peter Bruechner, Werner Lindner, Julia Johanna Hahn, Wahed Ahmed Moradi, Reiner Fischer, Michael Dockner
  • Patent number: 11704844
    Abstract: Provided are systems and methods for synthesizing novel views of complex scenes (e.g., outdoor scenes). In some implementations, the systems and methods can include or use machine-learned models that are capable of learning from unstructured and/or unconstrained collections of imagery such as, for example, “in the wild” photographs. In particular, example implementations of the present disclosure can learn a volumetric scene density and radiance represented by a machine-learned model such as one or more multilayer perceptrons (MLPs).
    Type: Grant
    Filed: April 18, 2022
    Date of Patent: July 18, 2023
    Assignee: GOOGLE LLC
    Inventors: Daniel Christopher Duckworth, Alexey Dosovitskiy, Ricardo Martin Brualla, Jonathan Tilton Barron, Noha Waheed Ahmed Radwan, Seyed Mohammad Mehdi Sajjadi
  • Patent number: 11691938
    Abstract: The invention relates to a multi-stage process for preparing 2,6-dialkylphenylacetic acids of the general formula (I) by reacting 2,6-dialkylbromobenzenes with (1) magnesium, (2) a formamide, (3) an acid, (4) hydrogenation of the benzaldehyde obtained, (5) activation of the benzyl alcohol obtained, (6) cyanation of the activated benzyl alcohol and (7) hydrolysis of the nitrile obtained.
    Type: Grant
    Filed: April 3, 2019
    Date of Patent: July 4, 2023
    Assignee: Bayer Aktiengesellschaft
    Inventors: Thomas Himmler, Dirk Brohm, Wahed Ahmed Moradi
  • Patent number: 11544869
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating object interaction predictions using a neural network. One of the methods includes obtaining a sensor input derived from data generated by one or more sensors that characterizes a scene. The sensor input is provided to an object interaction neural network. The object interaction neural network is configured to process the sensor input to generate a plurality of object interaction outputs. Each respective object interaction output includes main object information and interacting object information. The respective object interaction outputs corresponding to the plurality of regions in the sensor input are received as output of the object interaction neural network.
    Type: Grant
    Filed: June 8, 2021
    Date of Patent: January 3, 2023
    Assignee: Waymo LLC
    Inventors: Alper Ayvaci, Yu-Han Chen, Ruichi Yu, Chen Wu, Noha Waheed Ahmed Radwan, Jonathon Shlens
  • Publication number: 20220237834
    Abstract: Provided are systems and methods for synthesizing novel views of complex scenes (e.g., outdoor scenes). In some implementations, the systems and methods can include or use machine-learned models that are capable of learning from unstructured and/or unconstrained collections of imagery such as, for example, “in the wild” photographs. In particular, example implementations of the present disclosure can learn a volumetric scene density and radiance represented by a machine-learned model such as one or more multilayer perceptrons (MLPs).
    Type: Application
    Filed: April 18, 2022
    Publication date: July 28, 2022
    Inventors: Daniel Christopher Duckworth, Alexey Dosovitskiy, Ricardo Martin Brualla, Jonathan Tilton Barron, Noha Waheed Ahmed Radwan, Seyed Mohammad Mehdi Sajjadi
  • Publication number: 20220036602
    Abstract: Provided are systems and methods for synthesizing novel views of complex scenes (e.g., outdoor scenes). In some implementations, the systems and methods can include or use machine-learned models that are capable of learning from unstructured and/or unconstrained collections of imagery such as, for example, “in the wild” photographs. In particular, example implementations of the present disclosure can learn a volumetric scene density and radiance represented by a machine-learned model such as one or more multilayer perceptrons (MLPs).
    Type: Application
    Filed: July 30, 2021
    Publication date: February 3, 2022
    Inventors: Daniel Christopher Duckworth, Seyed Mohammad Mehdi Sajjadi, Jonathan Tilton Barron, Noha Waheed Ahmed Radwan, Alexey Dosovitskiy, Ricardo Martin-Brualla
  • Publication number: 20210403406
    Abstract: The invention relates to a multi-stage process for preparing 2,6-dialkylphenylacetic acids of the general formula (I) by reacting 2,6-dialkylbromobenzenes with (1) magnesium, (2) a formamide, (3) an acid, (4) hydrogenation of the benzaldehyde obtained, (5) activation of the benzyl alcohol obtained, (6) cyanation of the activated benzyl alcohol and (7) hydrolysis of the nitrile obtained.
    Type: Application
    Filed: April 3, 2019
    Publication date: December 30, 2021
    Inventors: Thomas HIMMLER, Dirk BROHM, Wahed Ahmed MORADI
  • Patent number: 11161840
    Abstract: The present invention relates to a process for producing compounds of formula (I) in which R1, A, X and Z are as defined in the description by reaction of compounds of formula (II) or salts thereof with 2-chloro-5-chloromethylpyridine in a nonpolar aliphatic or aromatic solvent, preferably in the presence of a phase transfer catalyst.
    Type: Grant
    Filed: May 26, 2017
    Date of Patent: November 2, 2021
    Assignee: Bayer CropScience Aktiengesellschaft
    Inventors: Stefan Antons, Martin Littmann, Joerg Schulz, Wahed Ahmed Moradi, Thomas Geller
  • Patent number: 11130735
    Abstract: The present invention relates to an improved process for the preparation of substituted pyridylmethyl-benzamide derivatives of formula (I), in particular 2,6-Dichloro-N-{[3-chloro-5-(trifluoromethyl)-2-pyridyl]methyl}benzamide (Fluopicolide), from substituted 2-(Aminomethyl)pyridine derivatives which are obtained by Raney-Nickel hydrogenation.
    Type: Grant
    Filed: November 21, 2018
    Date of Patent: September 28, 2021
    Inventors: Wahed Ahmed Moradi, Albert Schnatterer
  • Publication number: 20210295555
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating object interaction predictions using a neural network. One of the methods includes obtaining a sensor input derived from data generated by one or more sensors that characterizes a scene. The sensor input is provided to an object interaction neural network. The object interaction neural network is configured to process the sensor input to generate a plurality of object interaction outputs. Each respective object interaction output includes main object information and interacting object information. The respective object interaction outputs corresponding to the plurality of regions in the sensor input are received as output of the object interaction neural network.
    Type: Application
    Filed: June 8, 2021
    Publication date: September 23, 2021
    Inventors: Alper Ayvaci, Yu-Han Chen, Ruichi Yu, Chen Wu, Noha Waheed Ahmed Radwan, Jonathon Shlens
  • Publication number: 20210261507
    Abstract: Disclosed are a crystalline form of fluopyram according to formula (1), a process for its preparation agrochemical formulations having the crystalline form, and its use in plant protection applications. Further, an X-ray powder diffractogram at 25° C. and Cu—K? 1 radiation of the compound displays at least the following reflections, quoted as 2? value±0.2°: 10.8; 11.5, and 13.5.
    Type: Application
    Filed: July 23, 2019
    Publication date: August 26, 2021
    Inventors: Britta Olenik, Birgit Keil, Sylvia Dworacek, Malcolm Faers, Wahed Ahmed Moradi, Rolf Gertzmann
  • Publication number: 20210261536
    Abstract: The present invention relates to a process for producing compounds of formula (I) in which R1, A, X and Z are as defined in the description by reaction of compounds of formula (II) or salts thereof with 2-chloro-5-chloromethylpyridine in a nonpolar aliphatic or aromatic solvent, preferably in the presence of a phase transfer catalyst.
    Type: Application
    Filed: May 26, 2017
    Publication date: August 26, 2021
    Inventors: Stefan ANTONS, Martin LITTMANN, Joerg SCHULZ, Wahed Ahmed MORADI, Thomas GELLER
  • Patent number: 11043003
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating object interaction predictions using a neural network. One of the methods includes obtaining a sensor input derived from data generated by one or more sensors that characterizes a scene. The sensor input is provided to an object interaction neural network. The object interaction neural network is configured to process the sensor input to generate a plurality of object interaction outputs. Each respective object interaction output includes main object information and interacting object information. The respective object interaction outputs corresponding to the plurality of regions in the sensor input are received as output of the object interaction neural network.
    Type: Grant
    Filed: November 18, 2019
    Date of Patent: June 22, 2021
    Assignee: Waymo LLC
    Inventors: Alper Ayvaci, Yu-Han Chen, Ruichi Yu, Chen Wu, Noha Waheed Ahmed Radwan, Jonathon Shlens
  • Publication number: 20210150752
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating object interaction predictions using a neural network. One of the methods includes obtaining a sensor input derived from data generated by one or more sensors that characterizes a scene. The sensor input is provided to an object interaction neural network. The object interaction neural network is configured to process the sensor input to generate a plurality of object interaction outputs. Each respective object interaction output includes main object information and interacting object information. The respective object interaction outputs corresponding to the plurality of regions in the sensor input are received as output of the object interaction neural network.
    Type: Application
    Filed: November 18, 2019
    Publication date: May 20, 2021
    Inventors: Alper Ayvaci, Yu-Han Chen, Ruichi Yu, Chen Wu, Noha Waheed Ahmed Radwan, Jonathon Shlens
  • Publication number: 20210032262
    Abstract: The present invention relates to a novel process for preparing substituted cyclohexane amino acid esters and spiroketal-substituted cyclic keto-enols, and to novel intermediates or starting compounds that are passed through or used in the process according to the invention.
    Type: Application
    Filed: April 3, 2019
    Publication date: February 4, 2021
    Inventors: Thomas HIMMLER, Peter BRUECHNER, Werner LINDNER, Julia Johanna HAHN, Wahed Ahmed MORADI, Reiner FISCHER, Michael DOCKNER
  • Patent number: 10807955
    Abstract: Described is a process for the preparation of a N-[2-(2-pyridinyl)ethyl]carboxamide derivative of general formula (I) or a salt thereof.
    Type: Grant
    Filed: December 12, 2017
    Date of Patent: October 20, 2020
    Assignee: BAYER CROPSCIENCE AKTIENGESELLSCHAFT
    Inventors: Wahed Ahmed Moradi, Albert Schnatterer, Dietmar Bielefeldt, Rolf Gertzmann, Dirk Havekost
  • Patent number: 10781176
    Abstract: The present invention relates to novel processes for the preparation of substituted pyridyl-methylbenzamide derivatives of formula (I), in particular 2,6-dichloro-N-{[3-chloro-5-(trifluoromethyl)-2-pyridyl]methyl}benzamide (Fluopicolide), and for the catalytic hydrogenation of substituted cyanopyridine derivatives, in particular 3-chloro-2-cyano-5-trifluoromethylpyridine [=Py-CN] to the corresponding substituted 2-methylaminopyridine derivatives, in particular 2-aminomethyl-3-chloro-5-trifluoromethylpyridine [=Py-methylamine] or salts thereof in the presence of metal catalysts such as in particular palladium catalysts, catalytic modifiers and acids.
    Type: Grant
    Filed: April 26, 2016
    Date of Patent: September 22, 2020
    Assignee: BAYER CROPSCIENCE AKTIENGESELLSCHAFT
    Inventors: Wahed Ahmed Moradi, Günter Schlegel, Albert Schnatterer, Frank Volz
  • Publication number: 20200283388
    Abstract: The present invention relates to an improved process for the preparation of substituted pyridylmethyl-benzamide derivatives of formula (I), in particular 2,6-Dichloro-N-{[3-chloro-5-(trifluoromethyl)-2-pyridyl]methyl}benzamide (Fluopicolide), from substituted 2-(Aminomethyl)pyridine derivatives which are obtained by Raney-Nickel hydrogenation.
    Type: Application
    Filed: November 21, 2018
    Publication date: September 10, 2020
    Inventors: Wahed Ahmed MORADI, Albert SCHNATTERER