A5101942828- Plasmonic and Surface Plasmon Research
- Advanced biosensing and bioanalysis techniques
- Metamaterials and Metasurfaces Applications
- Advanced Fiber Optic Sensors
- Photonic Crystal and Fiber Optics
- Photonic and Optical Devices
- Optical Network Technologies
- Gold and Silver Nanoparticles Synthesis and Applications
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Molecular Communication and Nanonetworks
- Photonic Crystals and Applications
- COVID-19 diagnosis using AI
- COVID-19 Clinical Research Studies
- Thermal Radiation and Cooling Technologies
- Advanced Biosensing Techniques and Applications
- Advanced Optical Network Technologies
- Advanced Photonic Communication Systems
- Blockchain Technology Applications and Security
- Testicular diseases and treatments
- Biochemical and Structural Characterization
- Advanced Wireless Communication Technologies
- Big Data Technologies and Applications
- Power System Optimization and Stability
- Heme Oxygenase-1 and Carbon Monoxide
Umm al-Qura University
2008-2025
King Fahad Hospital Jeddah
2021-2023
Saudi Center for Disease Prevention and Control
2020-2021
We have investigated graphene-based three various refractive index sensors (split ring resonator (SRR), split with thin wire (SRRTW), and (TW) sensors) for the encoding sensing-based applications. The are designed to detect presence of hemoglobin biomolecules high sensitivity. results analyzed in form transmittance, electric field detailed sensitivity analysis is also carried out proposed four concentrations biomolecules. sensor’s performance terms quality factor, Q, figure merit...
A secure, smart and peer-to-peer transactions framework can be developed by Blockchain. Blockchain has enormous potential to turn health care systems as a horizontal technology, which changed many fields of industry. The aim this article is critically review 50 papers published between 2015 2020 on blockchain-based systems. 36 these were journal papers; 7 from conferences, 4 various symposiums; 3 seminars 1 chapter was written in the book. Three key questions will answered report. Firstly,...
Abstract This study aimed to identify significant gene expression profiles of the human lung epithelial cells caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. We performed a comparative genomic analysis show observations between SARS-CoV and SARS-CoV-2. A phylogenetic tree has been carried for that confirmed variance Transcriptomic analyses have SARS-CoV-2 infection responses pulmonary arterial hypertension (PAH) patients’ lungs as number patients identified...
Abstract Antimicrobials are molecules that prevent the formation of microorganisms such as bacteria, viruses, fungi, and parasites. The necessity to detect antimicrobial peptides (AMPs) using machine learning deep arises from need for efficiency accelerate discovery AMPs, contribute developing effective therapies, especially in face increasing antibiotic resistance. This study introduced AMP-RNNpro based on Recurrent Neural Network (RNN), an innovative model detecting which was designed with...
The traditional molecular-based identification (TMID) technique of new infections from genome sequences (GSs) has made significant contributions so far. However, due to the sensitive nature medical data, TMID transferring patient's data central machine or server may create severe privacy and security issues. In recent years, progression deep federated learning (DFL) its remarkable success in many domains guided as a potential solution this field. Therefore, we proposed dependable...
The emergence of the novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in late months 2019 had officials to declare a public health emergency leading global response. Public measurements rely on an accurate diagnosis individuals infected with virus by using real-time reverse transcriptase-polymerase chain reaction (RT-PCR). aim our study is relate fundamental clinical and analytical performance SARS-CoV-2 (RT-PCR) commercial kits. A total 94 samples were...
Visually impaired people are facing difficulties during day-to-day activities in terms of traveling and receiving accurate information from their surroundings. Most the time, visually persons need to rely on others. Blind cannot walk without support a cane. Artificial intelligence things (AIoT) is solution designing smart devices for impaired. We propose stick that overcomes most problems person. The actually helps detect obstacles faced life. person can also recognize objects currency with...
The solar spectrum energy absorption is very important for designing any absorber. need absorbing visible, infrared, and ultraviolet regions increasing as most of the absorbers absorb visible regions. We propose a metasurface absorber based on Ge2Sb2Te5 (GST) substrate which increases in infrared GST phase-changing material having two different phases amorphous (aGST) crystalline (cGST). also analyzed using machine learning algorithm to predict values wavelengths. showing an ultra-broadband...