Patents by Inventor ALIASGHAR RIAHI

ALIASGHAR RIAHI 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: 20250105858
    Abstract: A system and method for data compression with encryption, that produces a conditioned data stream by replacing data blocks within an input data stream to bring the frequency of each data block closer to an ideal value, produces an error stream comprising the differences between the original data and the encrypted data, and compresses the conditioned data.
    Type: Application
    Filed: December 11, 2024
    Publication date: March 27, 2025
    Inventors: Joshua Cooper, Aliasghar Riahi, Mojgan Haddad, Ryan Kourosh Riahi, Razmin Riahi, Charles Yeomans, Grant Fickes
  • Patent number: 12260086
    Abstract: Codebook data compaction using a universal codebook and mismatch probability estimations to improve entropy encoding methods. Training data sets are analyzed to determine the frequency of occurrence of each sourceblock in the training data sets. A mismatch probability estimate is calculated comprising an estimated frequency at which any given data sourceblock received during encoding will not have a codeword in the codebook. Entropy encoding is used to generate codebooks comprising codewords for data sourceblocks based on the frequency of occurrence of each sourceblock. A “mismatch codeword” is inserted into the codebook based on the mismatch probability estimate to represent those cases when a block of data to be encoded does not have a codeword in the codebook.
    Type: Grant
    Filed: November 1, 2023
    Date of Patent: March 25, 2025
    Assignee: ATOMBEAM TECHNOLOGIES INC
    Inventors: Joshua Cooper, Aliasghar Riahi, Charles Yeomans
  • Patent number: 12236089
    Abstract: A system and method for data compaction utilizing distributed codebook encoding to improve entropy encoding methods to account for, and efficiently handle, previously-unseen data in data to be compacted, allow for distributed encoding and decoding capabilities, and allow for parametrized codebook encoding methods. Training data sets are analyzed to determine the frequency of occurrence of each sourceblock in the training data sets. A mismatch probability estimate is calculated comprising an estimated frequency at which any given data sourceblock received during encoding will not have a codeword in the codebook. Further, a codebook and a behavior codebook may both be maintained or altered in a distributed fashion across multiple devices or services, for widespread, or permission-based, or parametrized codebook encoding.
    Type: Grant
    Filed: October 19, 2023
    Date of Patent: February 25, 2025
    Assignee: ATOMBEAM TECHNOLOGIES INC
    Inventors: Joshua Cooper, Aliasghar Riahi
  • Patent number: 12237848
    Abstract: A system and method for encrypted data compression, which uses frequency analysis on data blocks within an input data stream to produce a prefix table, representing a first layer of transformation, and which applies a Burrow's-Wheeler transform (BWT) to the data inside the prefix table, representing a second layer of transformation, and which compresses the transformed data. In some implementations, the system and method may further include applying the BWT to a conditioned stream of genomic data, wherein the conditioned stream of data is accompanied by an error stream comprising the differences between the original data and the encrypted data.
    Type: Grant
    Filed: November 6, 2023
    Date of Patent: February 25, 2025
    Assignee: ATOMBEAM TECHNOLOGIES INC
    Inventors: Joshua Cooper, Aliasghar Riahi, Mojgan Haddad, Ryan Kourosh Riahi, Razmin Riahi, Charles Yeomans
  • Publication number: 20250055476
    Abstract: A system and method for data compression with protocol adaptation, that utilizes a codebook generator which leverages one or more machine/deep learning algorithms trained on at least a plurality of protocol policies in order to generate a protocol appendix and codebook, wherein original data is encoded by an encoder according to the codebook and sent to a decoder, but instead of just decoding the data according to the codebook to reconstruct the original data, data manipulation rules such as mapping and transformation are applied at the decoding stage to transform the decoded data into protocol formatted data.
    Type: Application
    Filed: October 25, 2024
    Publication date: February 13, 2025
    Inventors: Joshua Cooper, Aliasghar Riahi
  • Patent number: 12224775
    Abstract: A system and method for highly efficient encoding of data that includes extended functionality for asymmetric encoding/decoding and network policy enforcement. In the case of asymmetric encoding/decoding the original data is encoded by an encoder according to a codebook and sent to a decoder, but the output of the decoder depends on data manipulation rules applied at the decoding stage to transform the decoded data into a different data set from the original data. In the case of network policy enforcement, a behavior appendix into the codebook, such that the encoder and/or decoder at each node of the network comply with network behavioral rules, limits, and policies during encoding and decoding.
    Type: Grant
    Filed: February 22, 2023
    Date of Patent: February 11, 2025
    Assignee: ATOMBEAM TECHNOLOGIES INC
    Inventors: Joshua Cooper, Aliasghar Riahi, Mojgan Haddad, Ryan Kourosh Riahi, Razmin Riahi, Charles Yeomans
  • Publication number: 20250047297
    Abstract: Data storage, transfer, synchronization, and security using automated system efficacy monitoring and model training is disclosed. Statistical analyses of test datasets are used to determine if the probability distribution of two datasets are within a pre-determined range, and responsive to that determination new encoding and decoding algorithms may be retrained in order to produce new data sourceblocks. The new data sourceblocks may then be processed and assigned new codewords which are compiled into an updated codebook which may be distributed back to encoding and decoding systems and devices.
    Type: Application
    Filed: October 18, 2024
    Publication date: February 6, 2025
    Inventors: Joshua Cooper, Aliasghar Riahi, Mojgan Haddad, Ryan Kourosh Riahi, Razmin Riahi, Charles Yeomans
  • Publication number: 20250047300
    Abstract: A system and method for highly efficient encoding of data that includes extended functionality for asymmetric encoding/decoding and network policy enforcement. In the case of asymmetric encoding/decoding the original data is encoded by an encoder according to a codebook and sent to a decoder, but the output of the decoder depends on data manipulation rules applied at the decoding stage to transform the decoded data into a different data set from the original data. In the case of network policy enforcement, a behavior appendix into the codebook, such that the encoder and/or decoder at each node of the network comply with network behavioral rules, limits, and policies during encoding and decoding.
    Type: Application
    Filed: October 25, 2024
    Publication date: February 6, 2025
    Inventors: Joshua Cooper, Aliasghar Riahi, Mojgan Haddad, Ryan Kourosh Riahi, Razmin Riahi, Charles Yeomans
  • Patent number: 12218695
    Abstract: A system and method for data storage, transfer, synchronization, and security using automated system efficacy monitoring and model training, wherein statistical analyses of test datasets are used to determine if the probability distribution of two datasets are within a pre-determined range, and responsive to that determination new encoding and decoding algorithms may be retrained in order to produce new data chunklets. The new data chunklets may then be processed and assigned new codewords which are compiled into an updated codebook which may be distributed back to encoding and decoding systems and devices.
    Type: Grant
    Filed: January 29, 2023
    Date of Patent: February 4, 2025
    Assignee: ATOMBEAM TECHNOLOGIES INC.
    Inventors: Joshua Cooper, Aliasghar Riahi, Mojgan Haddad, Ryan Kourosh Riahi, Razmin Riahi, Charles Yeomans
  • Patent number: 12218696
    Abstract: A system and method for data compression with protocol adaptation, that utilizes a codebook generator which leverages one or more machine/deep learning algorithms trained on at least a plurality of protocol policies in order to generate a protocol appendix and codebook, wherein original data is encoded by an encoder according to the codebook and sent to a decoder, but instead of just decoding the data according to the codebook to reconstruct the original data, data manipulation rules such as mapping and transformation are applied at the decoding stage to transform the decoded data into protocol formatted data.
    Type: Grant
    Filed: January 25, 2024
    Date of Patent: February 4, 2025
    Assignee: ATOMBEAM TECHNOLOGIES INC
    Inventors: Joshua Cooper, Aliasghar Riahi
  • Publication number: 20250036599
    Abstract: A system and methods for bandwidth-efficient data encoding comprising a sequence analyzer configured to: analyze a received sequence dataset to determine a sequence dataset file type, scan the sequence dataset to maintain a count of unique characters contained therein, identify positions where the unique character count increases by a power of two, deconstruct the sequence dataset into a plurality of sourceblocks at the identified positions, and encode the plurality of sourceblocks using a data deconstruction engine and library management module to assign each sourceblock a reference code.
    Type: Application
    Filed: October 11, 2024
    Publication date: January 30, 2025
    Inventors: Joshua Cooper, Aliasghar Riahi
  • Publication number: 20250028687
    Abstract: A system and method for securing high-speed communications between processing units on computer chips, wherein a training data set is used to find patterns and associated smaller indices, or codewords, which are stored in a reference codebook library, and where reconstruction and deconstruction algorithms are used to encode and decode data as it is received. The codebook and algorithms may be stored in the firmware of a semiconductor which enable reduced resources and cost when transmitting data between or among devices that utilize such semiconductors.
    Type: Application
    Filed: October 2, 2024
    Publication date: January 23, 2025
    Inventors: Joshua Cooper, Charles Yeomans, Aliasghar Riahi, Gregory Caltabiano, Mojgan Haddad
  • Patent number: 12191890
    Abstract: A system and method for data compression with encryption, that produces a conditioned data stream by replacing data blocks within an input data stream to bring the frequency of each data block closer to an ideal value, produces an error stream comprising the differences between the original data and the encrypted data, and compresses the conditioned data.
    Type: Grant
    Filed: November 21, 2023
    Date of Patent: January 7, 2025
    Assignee: ATOMBEAM TECHNOLOGIES INC
    Inventors: Joshua Cooper, Aliasghar Riahi, Mojgan Haddad, Ryan Kourosh Riahi, Razmin Riahi, Charles Yeomans, Grant Fickes
  • Patent number: 12189581
    Abstract: A system and method for securing high-speed communications between processing units on computer chips, wherein a training data set is used to find patterns and associated smaller indices, or codewords, which are stored in a reference codebook library, and where reconstruction and deconstruction algorithms are used to encode and decode data as it is received. The codebook and algorithms may be stored in the firmware of a semiconductor which enable reduced resources and cost when transmitting data between or among devices that utilize such semiconductors.
    Type: Grant
    Filed: October 3, 2023
    Date of Patent: January 7, 2025
    Assignee: ATOMBEAM TECHNOLOGIES INC
    Inventors: Joshua Cooper, Charles Yeomans, Aliasghar Riahi, Gregory Caltabiano, Mojgan Haddad
  • Patent number: 12189580
    Abstract: A system and methods for bandwidth-efficient data encoding comprising a sequence analyzer configured to: analyze a received sequence dataset to determine a sequence dataset file type, scan the sequence dataset to maintain a count of unique characters contained therein, identify positions where the unique character count increases by a power of two, deconstruct the sequence dataset into a plurality of sourceblocks at the identified positions, and encode the plurality of sourceblocks using a data deconstruction engine and library management module to assign each sourceblock a reference code.
    Type: Grant
    Filed: August 15, 2023
    Date of Patent: January 7, 2025
    Assignee: ATOMBEAM TECHNOLOGIES INC
    Inventors: Joshua Cooper, Aliasghar Riahi
  • Patent number: 12175638
    Abstract: A system and method are disclosed for low-light image enhancement using denoising preprocessing with wavelet decomposition AI-based techniques to enhance image quality of low-light images. Subsampled images are created from a raw input image. A wavelet decomposition process is performed on each subimage to create multiple frequency domain subimages. Each frequency domain subimage is input into a corresponding neural network. The output of each corresponding network is input to an inverse wavelet module. The output of the inverse wavelet module is a denoised image that is input to an image signal processing pipeline, where additional processing may be performed on the denoised image.
    Type: Grant
    Filed: April 1, 2024
    Date of Patent: December 24, 2024
    Assignee: ATOMBEAM TECHNOLOGIES INC
    Inventors: Joshua Cooper, Aliasghar Riahi, Charles Yeomans, Zhu Li
  • Publication number: 20240419327
    Abstract: Data compaction using codebooks, that applies delta encoding methods to entropy encoding methods to improve data compaction of entropy encoding methods under certain conditions and when compacting data having certain characteristics. Delta encoding may be applied to entropy encoding methods to further compact data sets by reducing the number of sourceblocks included in a codebook to those most commonly encountered in data to be encoded and, where mismatches occur during encoding, using delta encoding of bit differences with existing sourceblocks in the codebook rather than adding new sourceblocks to the codebook.
    Type: Application
    Filed: May 13, 2024
    Publication date: December 19, 2024
    Inventors: Joshua Cooper, Aliasghar Riahi, Mojgan Haddad, Ryan Kourosh Riahi, Razmin Riahi, Charles Yeomans
  • Publication number: 20240364359
    Abstract: Data compression with intrusion detection, that measures in real-time the probability distribution of an encoded data stream, compares the probability distribution to a reference probability distribution, and uses one or more statistical algorithms to determine the divergence between the two sets of probability distributions to determine if an unusual distribution is the result of a data intrusion. The system comprises both encoding and decoding machines, an intrusion detection module, a codebook training module, and various databases which perform various analyses on encoded data streams.
    Type: Application
    Filed: April 30, 2024
    Publication date: October 31, 2024
    Inventors: Joshua Cooper, Aliasghar Riahi, Charles Yeomans
  • Publication number: 20240329836
    Abstract: A system and method for data compaction and encryption of anonymized data records. A dataset may be pre-processed by dividing into sourceblocks at reasonable intervals and tallying each sourceblock's frequency, creating a tally record of tokens and count values. This tally record may then be anonymized and transmitted to a data deconstruction engine which combined with a library manager creates a codebook and performs optimization techniques on the codebook. The data deconstruction engine and library manager may be distributed across multiple nodes or devices. The received anonymized tally record may be parsed into individual tokens by identifying the tokens with the highest count value. The tokens may then be sent descending order of count value to the library manger where each token may be assigned a codeword. A half-backed codebook is then created using the tokens and each token's unique codeword, before sending the half-backed codebook to a system user.
    Type: Application
    Filed: June 7, 2024
    Publication date: October 3, 2024
    Inventors: Joshua Cooper, Aliasghar Riahi, Mojgan Haddad, Ryan Kourosh Riahi, Razmin Riahi, Charles Yeomans
  • Patent number: 12079168
    Abstract: A system and method for error-resilient data reduction, utilizing a phase detector, a data requestor, a multi-phase trainer, a reconstruction engine, a deconstruction engine, and one or more reference codebooks. A multi-phase trainer may be used to train the reconstruction and deconstruction engines on various phase sourceblocks in order recover quickly from corrupted data files that cause the phase alignment of the sourceblocks to become out of phase. A phase detector may determine when the sourceblocks get out of phase and when the return to in-phase by checking if a predetermined threshold probability of correct encoding is met. Data requestor may request for retransmission only the data that was received out of phase.
    Type: Grant
    Filed: September 4, 2023
    Date of Patent: September 3, 2024
    Assignee: ATOMBEAM TECHNOLOGIES INC.
    Inventors: Joshua Cooper, Aliasghar Riahi, Mojgan Haddad, Ryan Kourosh Riahi, Razmin Riahi, Charles Yeomans