Ahmed Sayed, Ph.D
Associate Professor | Milwaukee School of Engineering
Milwaukee, WI, UNITED STATES
Dr. Ahmed Sayed is an associate professor in the biomedical engineering department at Milwaukee School of Engineering.
Education, Licensure and Certification (3)
Ph.D., Mechanical and Aerospace Engineering: West Virginia University 2013
B.S., Systems and Biomedical Engineering: Cairo University 2003
M.S., Systems and Biomedical Engineering: Cairo University 2008
Biography
Dr. Sayed is an associate professor in the Electrical, Computer and Biomedical Engineering department and has been a faculty member at MSOE since 2019.
From 2017 to 2019 he was a research associate at Bascom Palmer Eye Institute, University of Miami. He received his B.Sc. and M.Sc. degrees in systems and biomedical engineering from Cairo University, Egypt in 2003 and 2008, respectively. He received his Ph.D. in Mechanical Engineering from West Virginia University in 2013. From 2013 to 2017 he worked at different health care facilities as a medical technology consultant and as a Biomedical engineering lecturer at various Universities.
He is the author/co-author of more than 40 publications in international peer-reviewed journals and conferences. He is listed as a co-inventor for 9 granted US patents in the field of bioinstrumentation. He serves as an expert reviewer for several top-tier journals including IEEE Transactions on Biomedical Engineering and IEEE Transactions on Ultrasonics, Ferroelectrics, And Frequency. His fields of research interest are image processing, bioinstrumentation, ultrasonics, biomechanics, finite-element modeling, and development of computer algorithms.
Areas of Expertise (6)
Biomechanics
Biomedical Instrumentation
Forensics Biomedical Engineering
Medical Image Processing and Segmentation
Ultrasound Elastography
Tumor Diagnosis
Accomplishments (3)
Elsevier Expert Reviewer Awards
American Physical Society 2016, 2018, 2022
Mayor Honorary Citizenship
Morgantown, WV 2013
Expert Reviewer
Grant proposals: Chilean national agency for research and development, FONDECYT program. Journal of IEEE Transactions on Biomedical Engineering. Journal of IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. Elsevier Journal of Ultrasonics. Archives of Medical Science Journal
Affiliations (4)
- Institute of Electrical and Electronics Engineers (IEEE): Senior Member (2021-Present)
- Association for Research in Vision and Ophthalmology (ARVO): Member (2018-Present)
- Institute of Electrical and Electronics Engineers (IEEE): Member (2013-2020)
- Egyptian Engineering Syndicate: Member (2003-Present)
Languages (1)
- Arabic
Media Appearances (1)
Repeatability Assessment of Monocular and Binocular Visual Field Measurements with a Head Mounted Display
The Association for Research in Vision and Ophthalmology
May 2022
Event and Speaking Appearances (6)
Repeatability Assessment of Monocular and Binocular Visual Field Measurements with a Head Mounted Display
The Association for Research in Vision and Ophthalmology May 2022
Digital Glasses for Visual Rehabilitation of Glaucoma Patients suffering from Visual Fields Defects
The Association for Research in Vision and Ophthalmology Vancouver, Canada
Digital Glasses for Visual Rehabilitation of Glaucoma Patients with Visual Fields Defects: Pilot Study
American Academy of Ophthalmology Chicago
Modeling Procedures for Breast Cancer Diagnosis Based On Clinical Elastography Images
IEEE 12th International Conference on Computer Engineering and Systems Cairo
A New Method for Biomechanical Data Acquisition in Remote Laboratory Delivery During the COVID-19 Pandemic
ASEE North Midwest Section Annual Conference Ames, IA 2020
The effect of see-through digital spectacles on eye scanning behavior of patients with peripheral visual field losses
The Association for Research in Vision and Ophthalmology, ARVO Baltimore, Maryland 2020
Teaching Areas (3)
Biomechanics
This course presents the fundamentals of human biomechanics and introduces multiple applications to sports, rehabilitation, and occupational biomechanics. The course starts with the study of engineering dynamics parameters and the forces and moments causing motion. Studies of linear motion, rotational motion, dynamic force analysis, work and energy, and impulse and momentum problems are illustrated. The course then discusses the application of kinematic and kinetic analyses of major human joint motions. Topics include anthropometry, mechanical work and energy, muscle mechanics, synthesis of human movement, repetitive motion, and introduction to the design of prosthetic devices.
Biomedical Instrumentation I
This course focuses on the fundamental devices, circuitry, and techniques needed to acquire and preprocess biomedical signals. Operating principles of basic semiconductor devices as well as their application are explained. The electrical characteristics of diodes, photodiodes, Zener diodes, LED, regulators, and BJT transistors are covered. Switched mode power supplies are introduced as an application. Filtering principles and filer types are demonstrated in detail. Additionally, operational amplifiers are studied and used in multiple amplifier and filter circuits to preprocess signals. Non-ideal op amp properties are treated in sufficient depth to permit design of high gain circuits capable of handling small DC and low frequency biomedical signals.
Lasers: Medical Applications
Lasers have become increasingly utilized in many disciplines. This course will provide answers to questions such as: Why lasers? How do lasers work? How does laser light interact with living tissues and other materials? The course will demonstrate the basic mechanisms of light propagation in tissues and all laser tissue interactions (photo-chemical, photo-thermal, photo-ablation, and photo-mechanical interactions). The influence of laser wavelengths and pulse durations on the interaction process will be studied. In addition, diagnostic and therapeutic laser applications will be discussed. Selected laser medical applications in ophthalmology, urology, gynecology, and dentistry will be demonstrated throughout this course. Other interesting applications of lasers in data transmission, modulation, astronomy, and weaponry will also be illustrated.
Patents (7)
System and Device for Tumor Characterization Using Nonlinear Elastography Imaging
US11090025B2
2021-08-01
The present invention provides a method and a device to image and characterize human tumors, and to classify the tumors as either malignant or benign. The method includes using a multi-compression technique upon the tissue or organ combined with a 3D ultrasound strain imaging of the compressed tissue or organ for acquiring raw data and analyzing the raw data using a computer processing unit equipped with a nonlinear biomechanical tissue model for tumor classification. A device is provided having a compression stage for delivering multi-compression with continuous force measurements, and a 3D ultrasound transducer strain imaging probe, wherein the imaging probe and the compression stage are in communication with a computer processing unit.
Field of view enhancement via dynamic display portions
US10955678B2
2021-03-01
In certain embodiments, enhancement of a field of view of a user may be facilitated via one or more dynamic display portions. In some embodiments, one or more changes related to one or more eyes of a user may be monitored. Based on the monitoring, one or more positions of one or more transparent display portions of wearable device may be adjusted, where the transparent display portions enable the user to see through the wearable device. A live video stream representing an environment of the user may be obtained via the wearable device. A modified video stream derived from the live video stream may be displayed on one or more other display portions of the wearable device.
Field of view enhancement via dynamic display portions
US20190227327A1
2019-07-25
In certain embodiments, enhancement of a field of view of a user may be facilitated via one or more dynamic display portions. In some embodiments, one or more changes related to one or more eyes of a user may be monitored. Based on the monitoring, one or more positions of one or more transparent display portions of a screen of wearable device may be adjusted, where the transparent display portions enable the user to see through the screen of the wearable device. A live video stream representing an environment of the user may be obtained via the wearable device. An enhanced video stream derived from the live video stream may be displayed on one or more other display portions of the screen of the wearable device.
Visual enhancement for dynamic vision defects
US10409071B2
2019-09-10
In certain embodiments, live image data modifications may be facilitated for dynamic vision defects. In some embodiments, one or more eyes of a user may be monitored while a set of stimuli are displayed to the user. Feedback related to the set of stimuli may be obtained, where the feedback indicates (i) whether or how the user sees one or more stimuli of the set and (ii) one or more characteristics related to the eyes that occurred when such stimuli are displayed. A set of modification profiles associated with the user may be generated based on the feedback, where each modification profile of the set (i) is associated with eye-related characteristics and (ii) includes modification parameters to be applied to an image to modify the image for the user when eye-related characteristics of the user matches the associated eye-related characteristics.
Field of view enhancement via dynamic display portions for a modified video stream
US10481402B1
2019-11-19
In certain embodiments, enhancement of a field of view of a user may be facilitated via one or more dynamic display portions. In some embodiments, one or more changes related to one or more eyes of a user may be monitored. Based on the monitoring, one or more positions of one or more transparent display portions of wearable device may be adjusted, where the transparent display portions enable the user to see through the wearable device. A live video stream representing an environment of the user may be obtained via the wearable device. A modified video stream derived from the live video stream may be displayed on one or more other display portions of the wearable device.
Vision defect determination and enhancement using a prediction model
US10389989B2
2019-08-20
In certain embodiments, enhancement of a vision of a user may be facilitated. In some embodiments, a visual test presentation including a set of stimuli may be provided to a user. Feedback related to the set of stimuli may be obtained during the visual test presentation. The feedback may be provided to a prediction model, and the prediction model may be configured based on the feedback. Subsequent to the configuring of the prediction model, live video stream data, eye characteristic information, or other information may be provided to the prediction model to obtain a set of modification parameters. An enhanced image may be generated and displayed to the user based on the live video stream and the set of modification parameters.
Vision defect determination and enhancement using a prediction model
US10485421B1
2019-11-26
In certain embodiments, enhancement of a vision of a user may be facilitated. In some embodiments, a visual test presentation including a set of stimuli may be provided to a user. Feedback related to the set of stimuli may be obtained during the visual test presentation. The feedback may be provided to a prediction model, and the prediction model may be configured based on the feedback. Subsequent to the configuring of the prediction model, live video stream data, eye characteristic information, or other information may be provided to the prediction model to obtain a set of modification parameters. A modified version of the live video stream data may be generated and displayed to the user based on the live video stream and the set of modification parameters.
Research Grants (1)
Solution for Non-invasive Breast Tissue Classification using Ultrasound Imaging
TIEC £1 million EGP
Co-PI Egypt 2017
Selected Publications (8)
A comparison of measurements based on visual field testing with a novel algorithm on an augmented reality headset to standard automated perimetry
Journal of GlaucomaCatherine Johnson, Ahmed M. Sayed, John McSoley, Mary Durbin, Rashed Kashem, Alexandra Nicklin, Valeria Lopez, Georgeana Mijares, Michael Chen, Abdulla Shaheen, Steven Segarra, Christian Andres Duque, Mohamed Abou Shousha
May 2023 This study of inter-test comparability of a novel visual field application installed on an augmented-reality portable headset and Humphrey field analyzer Swedish interactive thresholding algorithm (SITA) Standard visual field test demonstrates the excellent correlation of mean deviation (MD) and mean sensitivity (MS).
Correcting Higher Order Aberrations Using Image Processing
IEEE Transactions on Image ProcessingOlga Jumbo, Shihab Asfour, Ahmed M. Sayed, Mohamed Abdel-Mottaleb
January 2021 Higher Order Aberrations (HOAs) are complex refractive errors in the human eye that cannot be corrected by regular lens systems. Researchers have developed numerous approaches to analyze the effect of these refractive errors; the most popular among these approaches use Zernike polynomial approximation to describe the shape of the wavefront of light exiting the pupil after it has been altered by the refractive errors. We use this wavefront shape to create a linear imaging system that simulates how the eye perceives source images at the retina. With phase information from this system, we create a second linear imaging system to modify source images so that they would be perceived by the retina without distortion. By modifying source images, the visual process cascades two optical systems before the light reaches the retina, a technique that counteracts the effect of the refractive errors. While our method effectively compensates for distortions induced by HOAs, it also introduces blurring and loss of contrast; a problem that we address with Total Variation Regularization. With this technique, we optimize source images so that they are perceived at the retina as close as possible to the original source image. To measure the effectiveness of our methods, we compute the Euclidean error between the source images and the images perceived at the retina. When comparing our results with existing corrective methods that use deconvolution and total variation regularization, we achieve an average of 50% reduction in error with lower computational costs.
Mobility improvement of patients with peripheral visual field losses using novel see-through digital spectacles
PLOS ONEAhmed M. Sayed, Mohamed Abou Shousha, MD Baharul Islam, Taher K. Eleiwa, Rashed Kashem, Mostafa Abdel-Mottaleb, Eyup Ozcan, Mohamed Tolba, Jane C. Cook, Richard K. Parrish II
2020 Purpose: To evaluate see-through Augmented Reality Digital spectacles (AR DSpecs) for improving the mobility of patients with peripheral visual field (VF) losses when tested on a walking track.
Expansion of Peripheral Visual Field with Novel Virtual Reality Digital Spectacles
American Journal of OphthalmologyAhmed M Sayed, Mostafa Abdel-Mottaleb, Rashed Kashem, Vatookarn Roongpoovapatr, Mohamed Abdel-Mottaleb, Richard K Parrish II, Mohamed F Abou Shousha
2020 Purpose: To examine an image remapping method for peripheral visual field (VF) expansion with novel virtual reality digital spectacles (DSpecs) to improve visual awareness in glaucoma patients.
Quantitative Assessment of Gingival Inflammation Using HighResolution Ultrasound Ex Vivo
Journal of Mechanics in Medicine and BiologyThis study investigates the feasibility of using high-resolution ultrasound imaging echogenicity to quantitatively diagnose gingival inflammation. Gingival samples were extracted from the study participants during gingivectomy procedures. Ultrasound mechanical scanning of the samples was immediately conducted ex-vivo to render cross-sectional images of high resolution, at different locations. Samples’ histological preparation and analysis was followed after performing ultrasound imaging.
Automatic Segmentation of Corneal Microlayers on Optical Coherence Tomography Images
Translational Vision Science & TechnologyTo propose automatic segmentation algorithm (AUS) for corneal microlayers on optical coherence tomography (OCT) images.
Automatic Classification of Breast Tumors Using Features Extracted from Magnetic Resonance Images
Procedia Computer ScienceBreast cancer is considered as the second leading cause of cancer deaths among women in the United States. Early detection of cancer is crucial in order to reduce its negative effects.
3-D Visualization and Non-linear Tissue Classification of Breast Tumors Using Ultrasound Elastography In Vivo
Ultrasound in Medicine & BiologyThe goal of the study described here was to introduce new methods for the classification and visualization of human breast tumors using 3-D ultrasound elastography. A tumor's type, shape and size are key features that can help the physician to decide the sort and extent of necessary treatment.
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