Amin Abbosh
YOU?
Author Swipe
Perspective on the Role of AI in Shaping Human Cognitive Development Open
The fourth industrial revolution, driven by Artificial Intelligence (AI) and Generative AI (GenAI), is rapidly transforming human life, with profound effects on education, employment, operational efficiency, social behavior, and lifestyle.…
The Impact of Dual-Wavefront Propagation of Electromagnetic Waves in Bio-Tissues on Imaging and In-Body Communications Open
Understanding how electromagnetic (EM) waves travel through different tissues is important for EM medical imaging, sensing, and in-body communication. It is known that EM waves in lossy bio-tissues are nonuniform and do not strictly follow…
Optically Controlled Bias-Free Frequency Reconfigurable Antenna Open
A bias-free antenna tuning technique that eliminates conventional DC biasing networks is presented. The tuning mechanism is based on a Light-Dependent Resistor (LDR) embedded within the antenna structure. Optical illumination is used to mo…
Non-Uniform Antenna Array for Enhanced Medical Microwave Imaging Open
A non-uniform antenna array is proposed to enhance the accuracy of medical microwave imaging systems by increasing the amount of useful information captured about the imaged domain without increasing the number of antennas. These systems h…
Mechanically Scanned Leaky-Wave Pillbox K-Band Antenna With Dual Radiating Layers Using Variable Permittivity Substrate and Nonuniform Patches Open
A low-profile, high-gain leaky-wave pillbox K-band antenna with mechanical beam scanning is presented. The antenna consists of three layers: one feeding network layer and two radiating layers. A substrate-integrated waveguide wide-angle H-…
Synthetic Microwave Focusing Techniques for Medical Imaging: Fundamentals, Limitations, and Challenges Open
Synthetic microwave focusing methods have been widely adopted in qualitative medical imaging to detect and localize anomalies based on their electromagnetic scattering signatures. This paper discusses the principles, challenges, and limita…
SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study Open
Multiple pathologic conditions can lead to a diseased and symptomatic glenohumeral joint for which total shoulder arthroplasty (TSA) replacement may be indicated. The long-term survival of implants is limited. With the increasing incidence…
View article: Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion
Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion Open
Deep learning (DL) in orthopaedics has gained significant attention in recent years. Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks, including fracture detection, bone tumour diagnosis, implant re…
View article: Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images
Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images Open
Musculoskeletal conditions affect an estimated 1.7 billion people worldwide, causing intense pain and disability. These conditions lead to 30 million emergency room visits yearly, and the numbers are only increasing. However, diagnosing mu…
Clinical electromagnetic brain scanner Open
Stroke is a leading cause of death and disability worldwide, and early diagnosis and prompt medical intervention are thus crucial. Frequent monitoring of stroke patients is also essential to assess treatment efficacy and detect complicatio…
Wide-Angle Beam Steering Closed-Form Pillbox Antenna Fed by Substrate-Integrated Waveguide Horn for On-the-Move Satellite Communications Open
Wide-angle mechanical beam steering for on-the-move satellite communications is presented in this paper based on a closed-form pillbox antenna system. It includes three main parts: a fixed-feed part, which is a substrate-integrated wavegui…
View article: Shielded Cone Coil Array for Non-Invasive Deep Brain Magnetic Stimulation
Shielded Cone Coil Array for Non-Invasive Deep Brain Magnetic Stimulation Open
Non-invasive deep brain stimulation using transcranial magnetic stimulation is a promising technique for treating several neurological disorders, such as Alzheimer’s and Parkinson’s diseases. However, the currently used coils do not demons…
Training Universal Deep-Learning Networks for Electromagnetic Medical Imaging Using a Large Database of Randomized Objects Open
Deep learning has become a powerful tool for solving inverse problems in electromagnetic medical imaging. However, contemporary deep-learning-based approaches are susceptible to inaccuracies stemming from inadequate training datasets, prim…
View article: A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications Open
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a large amount of data to achieve exceptional performance. Unfortunately, many applications have small or inadequate data to train DL frameworks. Usuall…
Authors Index Open
Noise Temperature Testing of the Low-Noise Amplifiers for the Parkes
View article: Lorentz-Invariant Meshless Vector Basis Function for Translational Motion of Coordinates in Computational Electromagnetics
Lorentz-Invariant Meshless Vector Basis Function for Translational Motion of Coordinates in Computational Electromagnetics Open
Laws of physics remain unchanged under translational motion of coordinates. To guarantee the above postulate in electromagnetics, Lorenz gauge eliminates the additional terms generated in the wave equation of magnetic vector potential duri…
View article: Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements
Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements Open
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic decision‐making (DM), these systems have found wide‐ranging applications across diverse fields, including education, business, healthcare industri…
View article: Quasi-Gradient Nonlinear Simplex Optimization Method in Electromagnetics
Quasi-Gradient Nonlinear Simplex Optimization Method in Electromagnetics Open
Particle swarm optimization (PSO), genetic algorithm (GA), and nonlinear simplex optimization method (SOM) are some of the most prominent gradient-free optimization algorithms in engineering. When it comes to a common group of electromagne…
Combating Coronavirus Using Resonant Electromagnetic Irradiation Open
The interaction of electromagnetic (EM) waves with the COVID-19 virus is studied to define the frequencies that cause maximum energy absorption by the virus and the power level needed to cause a lethal temperature rise. The full-wave EM si…
View article: Effect of Choke Placement on Common-Mode Noise in Three-Phase Variable Speed Drives
Effect of Choke Placement on Common-Mode Noise in Three-Phase Variable Speed Drives Open
Three-phase variable speed drives play a key role in energy conversion systems. To comply with the electromagnetic compatibility standards for the 0–2 kHz frequency range, magnetic chokes are typically placed at the dc or ac sides of the d…
View article: Next-Generation Healthcare: Enabling Technologies for Emerging Bioelectromagnetics Applications
Next-Generation Healthcare: Enabling Technologies for Emerging Bioelectromagnetics Applications Open
Rapid advances in antennas, propagation, electromagnetics, and materials are opening new and unexplored opportunities in body area sensing and stimulation. Next-generation wearables and implants are seamlessly providing round-the-clock mon…
Sub-6 GHz and mm-Wave 5G Vehicle-to-Everything (5G-V2X) MIMO Antenna Array Open
A multi-beam and multi-polarized Multiple-Input Multiple-Output (MIMO) antenna system, which operates at Sub-6 GHz and mm-wave frequency bands is realized for 5G Vehicle-to-Everything (5GV2X) application. Since the vehicle needs to communi…
Focused Planar Electromagnetic Waves for Enhanced Near-Field Microwave Imaging With Verification Using Tapered Gradient-Index Lens Antenna Open
Radar-based algorithms for electromagnetic (EM) imaging are developed based on the assumption that EM has a local planar wave front inside the imaging domain. However, this might not be the case for majority of utilized antennas as the ima…
View article: Transistor Laser Antenna: Electromagnetic Model in Transmit and Receive Modes
Transistor Laser Antenna: Electromagnetic Model in Transmit and Receive Modes Open
Transistor laser can drive recent innovative technologies like optical antennas and rectennas. To this end, this semiconductor device requires an accurate electromagnetic model capable of determining the antenna characteristics like radiat…
View article: Case Report: Preliminary Images From an Electromagnetic Portable Brain Scanner for Diagnosis and Monitoring of Acute Stroke
Case Report: Preliminary Images From an Electromagnetic Portable Brain Scanner for Diagnosis and Monitoring of Acute Stroke Open
Introduction: Electromagnetic imaging is an emerging technology which promises to provide a mobile, and rapid neuroimaging modality for pre-hospital and bedside evaluation of stroke patients based on the dielectric properties of the tissue…
View article: Brain Injury Localization in Electromagnetic Imaging using Symmetric Crossing Lines Method
Brain Injury Localization in Electromagnetic Imaging using Symmetric Crossing Lines Method Open
To avoid death or disability, patients with brain injury should undertake a diagnosis at the earliest time and accept frequent monitoring after starting any medical intervention. This paper presents a novel approach to localize brain injur…
Operational Learning-Based Boundary Estimation in Electromagnetic Medical Imaging Open
Incorporating boundaries of the imaging object as a priori information to imaging algorithms can significantly improve the performance of electromagnetic medical imaging systems. To avoid overly complicating the system by using different s…
Operational Learning-based Boundary Estimation in Electromagnetic Medical Imaging Open
Incorporating boundaries of the imaging object as a priori information to imaging algorithms can significantly improve the performance of electromagnetic medical imaging systems. To avoid overly complicating the system by using different s…
Introducing: DeepHead, Wide-band Electromagnetic Imaging Paradigm Open
Electromagnetic medical imaging in the microwave regime is a hard problem notorious for 1) instability 2) under-determinism. This two-pronged problem is tackled with a two-pronged solution that uses double compression to maximally utilizin…