Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Fawwaz Hazzazi

Lecturer

prince sattam bin abdulaziz university

Saudi Arabia

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Articles (20)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Collaborators (3)

Farid Zubir

Assistant Professor

Universiti Teknologi Malaysia

MALAYSIA

View details

Syed Omer Gilani

Associate Professor

Abu Dhabi University

UNITED ARAB EMIRATES

View details

Muhammad Akmal Chaudhary

Professor

UNITED ARAB EMIRATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Fawwaz Hazzazi

Research Interests

Make your next move.

Articles (20)

Evaluating the Effectiveness of Immersive Virtual Reality Rehabilitation Games With Enhanced Visual Training for Hand Motor Function Improvement Using Electromyography: Randomized Controlled Trial

Enhancing ECG disease detection accuracy through deep learning models and P-QRS-T waveform features

Design of an Ultra Compact 180-Degree Ring Coupler With Harmonic Suppression Using Composite Lines for Modern RF Systems

Optimizing DLP 3D printing parameters to enhance fatigue performance of photopolymer resins for orthopedic applications

Advances in carbon-dots based nanomaterials for electrocatalytic water splitting: Fundamental, challenges, and future prospects

Advancing optical neural networks: photonic crystal perceptrons for ultra-fast AI computing

Design and fabrication of a compact microstrip hybrid ring coupler with harmonic reduction for L band radar system

Design of a compact all-optical digital-to-analog converter based on photonic crystals using neural networks

Design of an optical half-adder based on two-dimensional photonic crystals using feedforward neural networks

High entropic engineering for sustainable energy and environmental applications

Identification and quantification of muscular cocontraction for ankle rehabilitation through variational mode decomposition in surface electromyography

Intelligent photonic crystal-based optical sensor for accurate glycerol-water mixture measurement using artificial neural networks

Microstructural-based elastic property analysis in polymer nanocomposites via a fully convolutional semantic segmentation and meta-modeling approaches

Quantitative analysis of tribological performance in polyamide 6/nano--zeolite composites for prosthetic and orthotic applications: Integration of computer vision, numerical modeling, and experimental evaluation

Using a deep neural network for the design of an optical photonic crystal half-subtractor

Design of a Photonic Crystal Exclusive-OR Gate Using Recurrent Neural Networks

A simplified and efficient approach for designing microstrip bandpass filters: Applications in satellite and 5G communications

Deep learning-assisted morphological segmentation for effective particle area estimation and prediction of interfacial properties in polymer composites

Design of a Microwave Quadrature Hybrid Coupler with Harmonic Suppression Using Artificial Neural Networks

Designing process and analysis of a new SOI-MESFET structure with enhanced DC and RF characteristics for high-frequency and high-power applications

Collaborators (3)

Farid Zubir

Syed Omer Gilani

Muhammad Akmal Chaudhary

Make your next move.