Patents by Inventor Mahmoud Al-Qutayri

Mahmoud Al-Qutayri 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).

  • Patent number: 11105937
    Abstract: Devices, systems, and methods of using one or more memristors as a radiation sensor are enabled. A memristor can be attractive as a sensor due to its passive low power characteristics. Medical and environment monitoring are contemplated use cases. Sensing radiation as part of a security system (at an airport for example) and screening food for radiation exposure are also possible uses. The memristor as a radiation sensor may possibly provide an inexpensive and easy alternative to personal thermoluminescent dosimeters (TLD). Memristor devices with high current and low power operation may be attached with wearable plastic substrates. An example device includes two metal strips with a 50 ?m thick layer of TiO2 memristor material. The device may be made large relative to traditional memristors which are nanometers in scale but its increased thickness can significantly increase the probability of radiation interaction with the memristor material.
    Type: Grant
    Filed: December 30, 2016
    Date of Patent: August 31, 2021
    Assignee: Khalifa University of Science and Technology
    Inventors: Baker Mohammad, Maguy Abi Jaoude, Heba Abunahla, Mahmoud Al-Qutayri, Curtis O'Kelly
  • Patent number: 11051747
    Abstract: An electrocardiogram (ECG) processor is disclosed. The ECG processor includes ECG sampling circuitry configured in a first mode to acquire a continuous ECG sample set from an ECG signal by digitally sampling the ECG signal at a Nyquist rate for a first predetermined number of heartbeats and in a second mode to acquire a non-continuous ECG sample set from the ECG signal for a second predetermined number of heartbeats by digitally sampling active regions of the ECG signal that contain a PQRST complex and not from silent regions between adjacent PQRST complexes. The ECG processor also includes processing circuitry configured to determine from the continuous ECG sample set relative locations of the active regions and provide the relative locations of the active regions to the ECG sampling circuitry for sampling the ECG signal in the second mode.
    Type: Grant
    Filed: September 27, 2017
    Date of Patent: July 6, 2021
    Assignee: Khalifa University of Science and Technology
    Inventors: Hamza Yacoub Al Maharmeh, Hani Hasan Mustafa Saleh, Baker Mohammad, Mohammed Ismail Elnaggar, Mahmoud Al-Qutayri
  • Publication number: 20210116410
    Abstract: A glucose sensor includes an insulating metal oxide layer and at least one pair of metallic electrodes arranged on the insulating metal oxide layer and separated by a gap containing the metal oxide layer. In operation, a probe including a voltage supply and current sensor can provide a voltage difference across the first and second metallic electrodes while a sample is present across the gap between the electrodes. A measured current between the first and second metallic electrodes when the voltage difference is provided can be correlated to a glucose level of the sample.
    Type: Application
    Filed: June 3, 2019
    Publication date: April 22, 2021
    Inventors: Heba ABUNAHLA, Baker MOHAMMAD, Anas ALAZZAM, Maguy Abi JAOUDE, Mahmoud AL-QUTAYRI
  • Publication number: 20200284924
    Abstract: Devices, systems, and methods of using one or more memristors as a radiation sensor are enabled. A memristor can be attractive as a sensor due to its passive low power characteristics. Medical and environment monitoring are contemplated use cases. Sensing radiation as part of a security system (at an airport for example) and screening food for radiation exposure are also possible uses. The memristor as a radiation sensor may possibly provide an inexpensive and easy alternative to personal thermoluminescent dosimeters (TLD). Memristor devices with high current and low power operation may be attached with wearable plastic substrates. An example device includes two metal strips with a 50 ?m thick layer of TiO2 memristor material. The device may be made large relative to traditional memristors which are nanometers in scale but its increased thickness can significantly increase the probability of radiation interaction with the memristor material.
    Type: Application
    Filed: December 30, 2016
    Publication date: September 10, 2020
    Inventors: Baker Mohammad, Maguy Abi Jaoude, Heba Abu Hahla, Mahmoud Al-Qutayri, Curtis O'Kelly
  • Patent number: 10735753
    Abstract: Data compression using a memristive crossbar is enabled. Conductances of memristors may be set such that the memristors of the crossbar act as coefficients of a wavelet transformation coefficient matrix with respect to voltage signals applied to input rows of the crossbar. The memristors may act as coefficients of the transpose of the wavelet transformation coefficient matrix when voltage signals are applied to input columns of the crossbar. Hence, the memristive crossbar may be used to implement a two dimensional (2D) discrete wavelet transform (DWT) on two dimensional data (e.g., image data) encoded in the voltage signals. The resulting currents in the columns of the memristive crossbar may be integrated and converted to voltage signals that are fed back into columns of the memristive crossbar such that the rows of the memristive crossbar output electronic signals that correspond to the image data compressed in accordance with Haar 2D-DWT image compression.
    Type: Grant
    Filed: October 29, 2018
    Date of Patent: August 4, 2020
    Assignee: KHALIFA UNIVERSITY OF SCIENCE AND TECHNOLOGY
    Inventors: Yasmin Halawani, Baker Mohammad, Mahmoud Al-Qutayri
  • Patent number: 10456027
    Abstract: Architecture and a method for maximally stable extremal regions (MSERs)-based detection of exudates in an ocular fundus is disclosed. The architecture includes a communication interface to receive pixels of an ocular fundus image. The architecture further includes processing circuitry that is coupled to the communication interface. The processing circuitry is configured to automatically provide labels for light image regions and dark image regions within the ocular fundus image for a given intensity threshold and find MSERs within the ocular fundus image based on the labels. The architecture also determines MSER regions based on the MSER criteria and then highlights the pixels of the ocular fundus image that are located within MSER regions to indicate the exudates in the ocular fundus. The architecture is further configured to determine MSER ellipses parameters based on MSER regions and MSER criteria and then highlight the locations of the exudates in the ocular fundus.
    Type: Grant
    Filed: April 26, 2017
    Date of Patent: October 29, 2019
    Assignee: Khalifa University of Science and Technology
    Inventors: Ehab Najeh Salahat, Hani Hasan Mustafa Saleh, Andrzej Stefan Sluzek, Mahmoud Al-Qutayri, Baker Mohammad, Mohammed Ismail Elnaggar
  • Publication number: 20190132602
    Abstract: Data compression using a memristive crossbar is enabled. Conductances of memristors may be set such that the memristors of the crossbar act as coefficients of a wavelet transformation coefficient matrix with respect to voltage signals applied to input rows of the crossbar. The memristors may act as coefficients of the transpose of the wavelet transformation coefficient matrix when voltage signals are applied to input columns of the crossbar. Hence, the memristive crossbar may be used to implement a two dimensional (2D) discrete wavelet transform (DWT) on two dimensional data (e.g., image data) encoded in the voltage signals. The resulting currents in the columns of the memristive crossbar may be integrated and converted to voltage signals that are fed back into columns of the memristive crossbar such that the rows of the memristive crossbar output electronic signals that correspond to the image data compressed in accordance with Haar 2D-DWT image compression.
    Type: Application
    Filed: October 29, 2018
    Publication date: May 2, 2019
    Inventors: Yasmin Halawani, Baker Mohammad, Mahmoud Al-Qutayri
  • Publication number: 20190090773
    Abstract: An electrocardiogram (ECG) processor is disclosed. The ECG processor includes ECG sampling circuitry configured in a first mode to acquire a continuous ECG sample set from an ECG signal by digitally sampling the ECG signal at a Nyquist rate for a first predetermined number of heartbeats and in a second mode to acquire a non-continuous ECG sample set from the ECG signal for a second predetermined number of heartbeats by digitally sampling active regions of the ECG signal that contain a PQRST complex and not from silent regions between adjacent PQRST complexes. The ECG processor also includes processing circuitry configured to determine from the continuous ECG sample set relative locations of the active regions and provide the relative locations of the active regions to the ECG sampling circuitry for sampling the ECG signal in the second mode.
    Type: Application
    Filed: September 27, 2017
    Publication date: March 28, 2019
    Inventors: Hamza Yacoub Al Maharmeh, Hani Hasan Mustafa Saleh, Baker Mohammad, Mohammed Ismail Elnaggar, Mahmoud Al-Qutayri
  • Patent number: 10228443
    Abstract: The various embodiments herein provide a Uniform Circular Displaced Sensor Array (UC-DSA) system and method for measuring/estimating Direction of Arrival (DOA) of a wireless signal. The UC-DSA system comprises at least a set of two circular antenna arrays. The two circular antenna arrays have a number of elements. A Radio frequency (RF) receiver captures a wireless signal incident on a circular antenna array. A Direction of Arrival (DOA) estimator processes a received input signal and a Triangulation system provides the exact location of the source of the wireless signal. The two circular antenna arrays with the same number of elements are placed on different radii, and are shifted to have equal separation between inner elements and outer elements.
    Type: Grant
    Filed: December 2, 2012
    Date of Patent: March 12, 2019
    Assignee: Khalifa University of Science and Technology
    Inventors: Ahmed Rashed Kulaib, Jason Wee Peng Ng, Raed M Shubair, Mahmoud A Al-Qutayri
  • Patent number: 10194821
    Abstract: A medical device having automated electrocardiogram (ECG) feature extraction is disclosed. The medical device includes input circuitry configured to receive an ECG signal. Processing circuitry coupled to the input circuitry is configured to identify at least one fiducial point of heartbeat signature of the ECG signal. The processing circuitry is further configured to perform substantially simultaneously both a discrete wavelet transform (DWT) and a curve length transform (CLT) to identify the at least one fiducial point.
    Type: Grant
    Filed: October 29, 2015
    Date of Patent: February 5, 2019
    Assignee: Khalifa University of Science and Technology
    Inventors: Temesghen Tekeste Habte, Nourhan Yahya Bayasi, Hani Hasan Mustafa Saleh, Ahsan Habib Khandoker, Baker Mohammad, Mahmoud Al-Qutayri, Mohammed Ismail Elnaggar
  • Publication number: 20180310817
    Abstract: Architecture and a method for maximally stable extremal regions (MSERs)-based detection of exudates in an ocular fundus is disclosed. The architecture includes a communication interface to receive pixels of an ocular fundus image. The architecture further includes processing circuitry that is coupled to the communication interface. The processing circuitry is configured to automatically provide labels for light image regions and dark image regions within the ocular fundus image for a given intensity threshold and find MSERs within the ocular fundus image based on the labels. The architecture also determines MSER regions based on the MSER criteria and then highlights the pixels of the ocular fundus image that are located within MSER regions to indicate the exudates in the ocular fundus. The architecture is further configured to determine MSER ellipses parameters based on MSER regions and MSER criteria and then highlight the locations of the exudates in the ocular fundus.
    Type: Application
    Filed: April 26, 2017
    Publication date: November 1, 2018
    Inventors: Ehab Najeh Salahat, Hani Hasan Mustafa Saleh, Andrzej Stefan Sluzek, Mahmoud Al-Qutayri, Baker Mohammad, Mohammed Ismail Elnaggar
  • Patent number: 9639951
    Abstract: Methods and systems for detecting and/or tracking one or more objects utilize depth data. An example method of detecting one or more objects in image data includes receiving depth image data corresponding to a depth image view point relative to the one or more objects. A series of binary threshold depth images are formed from the depth image data. Each of the binary threshold depth images is based on a respective depth. One or more depth extremal regions in which image pixels have the same value are identified for each of the binary depth threshold images. One or more depth maximally stable extremal regions are selected from the identified depth extremal regions based on change in area of the one or more respective depth extremal regions for different depths.
    Type: Grant
    Filed: October 23, 2014
    Date of Patent: May 2, 2017
    Assignee: KHALIFA UNIVERSITY OF SCIENCE, TECHNOLOGY & RESEARCH
    Inventors: Ehab Najeh Salahat, Hani Hasan Mustafa Saleh, Safa Najeh Salahat, Andrzej Stefan Sluzek, Mahmoud Al-Qutayri, Baker Mohammad, Mohammed Ismail Elnaggar
  • Patent number: 9489578
    Abstract: Hardware architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes a communication interface and processing circuitry that are configured in hardware to receive a data stream of an intensity image in real-time and provide labels for image regions within the intensity image that match a given intensity threshold. The communication interface and processing circuitry are also configured in hardware to find extremal regions within the intensity image based upon the labels and to determine MSER ellipses parameters based upon the extremal regions and MSER criteria. In at least one embodiment, the MSER criteria include minimum and maximum MSER areas, and an acceptable growth rate value for MSER area. In another embodiment, the MSER criteria include a nested MSER tolerance value.
    Type: Grant
    Filed: September 10, 2014
    Date of Patent: November 8, 2016
    Assignee: Khalifa University of Science, Technology and Research
    Inventors: Ehab Najeh Salahat, Hani Hasan Mustafa Saleh, Andrzej Stefan Sluzek, Mahmoud Al-Qutayri, Baker Mohammad, Mohammed Ismail Elnaggar
  • Publication number: 20160120431
    Abstract: A medical device having automated electrocardiogram (ECG) feature extraction is disclosed. The medical device includes input circuitry configured to receive an ECG signal. Processing circuitry coupled to the input circuitry is configured to identify at least one fiducial point of heartbeat signature of the ECG signal. The processing circuitry is further configured to perform substantially simultaneously both a discrete wavelet transform (DWT) and a curve length transform (CLT) to identify the at least one fiducial point.
    Type: Application
    Filed: October 29, 2015
    Publication date: May 5, 2016
    Inventors: Temesghen Tekeste Habte, Nourhan Yahya Bayasi, Hani Hasan Mustafa Saleh, Ahsan Habib Khandoker, Baker Mohammad, Mahmoud Al-Qutayri, Mohammed Ismail Elnaggar
  • Publication number: 20160113546
    Abstract: Methods and systems process an MRI image to detect cancer. A method includes forming a series of binary threshold intensity images from an MRI image of a patient. Each of the binary threshold intensity images is based on a respective intensity. The binary threshold intensity images are processed to identify one or more bright extremal regions in which image pixels have the same value, and for which corresponding image pixels in the MRI image have a higher intensity than surrounding image pixels in the MRI image. One or more bright maximally stable extremal regions are selected from the identified bright extremal regions based on change in area of one or more respective bright extremal regions for different binary threshold images in the series. At least one of the selected one or more bright maximally stable extremal regions may be identified as potentially cancerous.
    Type: Application
    Filed: October 23, 2014
    Publication date: April 28, 2016
    Inventors: Ehab Najeh Salahat, Hani Hasan Mustafa Saleh, Safa Najeh Salahat, Andrzej Stefan Sluzek, Mahmoud Al-Qutayri, Baker Mohammad, Mohammed Ismail Elnaggar
  • Publication number: 20160117830
    Abstract: Methods and systems for detecting and/or tracking one or more objects utilize depth data. An example method of detecting one or more objects in image data includes receiving depth image data corresponding to a depth image view point relative to the one or more objects. A series of binary threshold depth images are formed from the depth image data. Each of the binary threshold depth images is based on a respective depth. One or more depth extremal regions in which image pixels have the same value are identified for each of the binary depth threshold images. One or more depth maximally stable extremal regions are selected from the identified depth extremal regions based on change in area of the one or more respective depth extremal regions for different depths.
    Type: Application
    Filed: October 23, 2014
    Publication date: April 28, 2016
    Inventors: Ehab Najeh Salahat, Hani Hasan Mustafa Saleh, Safa Najeh Salahat, Andrzej Stefan Sluzek, Mahmoud Al-Qutayri, Baker Mohammad, Mohammed Ismail Elnaggar
  • Patent number: 9311555
    Abstract: Architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes a communication interface and processing circuitry that are configured in hardware to receive a data stream of an intensity image in real-time and provide labels for light image regions and dark image regions within the intensity image that match a given intensity threshold during a single processing pass. The communication interface and processing circuitry are also configured in hardware to find extremal regions within the intensity image based upon the labels and to determine MSER ellipses parameters based upon the extremal regions and MSER criteria. In at least one embodiment, the MSER criteria include minimum and maximum MSER areas, and an acceptable growth rate value for MSER areas. In another embodiment, the MSER criteria include a nested MSER tolerance value.
    Type: Grant
    Filed: September 10, 2014
    Date of Patent: April 12, 2016
    Assignee: Khalifa University of Science, Technology, and Research
    Inventors: Ehab Najeh Salahat, Hani Hasan Mustafa Saleh, Andrzej Stefan Sluzek, Mahmoud Al-Qutayri, Baker Mohammad, Mohammed Ismail Elnaggar
  • Publication number: 20160071280
    Abstract: Hardware architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes a communication interface and processing circuitry that are configured in hardware to receive a data stream of an intensity image in real-time and provide labels for image regions within the intensity image that match a given intensity threshold. The communication interface and processing circuitry are also configured in hardware to find extremal regions within the intensity image based upon the labels and to determine MSER ellipses parameters based upon the extremal regions and MSER criteria. In at least one embodiment, the MSER criteria include minimum and maximum MSER areas, and an acceptable growth rate value for MSER area. In another embodiment, the MSER criteria include a nested MSER tolerance value.
    Type: Application
    Filed: September 10, 2014
    Publication date: March 10, 2016
    Inventors: Ehab Najeh Salahat, Hani Hasan Mustafa Saleh, Andrzej Stefan Sluzek, Mahmoud Al-Qutayri, Baker Mohammad, Mohammed Ismail Elnaggar
  • Publication number: 20160070970
    Abstract: Architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes a communication interface and processing circuitry that are configured in hardware to receive a data stream of an intensity image in real-time and provide labels for light image regions and dark image regions within the intensity image that match a given intensity threshold during a single processing pass. The communication interface and processing circuitry are also configured in hardware to find extremal regions within the intensity image based upon the labels and to determine MSER ellipses parameters based upon the extremal regions and MSER criteria. In at least one embodiment, the MSER criteria include minimum and maximum MSER areas, and an acceptable growth rate value for MSER areas. In another embodiment, the MSER criteria include a nested MSER tolerance value.
    Type: Application
    Filed: September 10, 2014
    Publication date: March 10, 2016
    Inventors: Ehab Najeh Salahat, Hani Hasan Mustafa Saleh, Andrzej Stefan Sluzek, Mahmoud Al-Qutayri, Baker Mohammad, Mohammed Ismail Elnaggar