عادل محمد عطيه العطوي
I joined Tabuk University in 2013 as a lecturer (Communication/Information Engineering) in the Faculty of Engineering I got my doctorate degree in 2018, and till today, my work allocation is comprised of teaching, research and administration I have been teaching courses related to Digital Signal Processing at Tabuk University since 2013 I have been carrying out research in the areas of speech processing and machine learning since 2014 My research interests include speech recognition, speech coding, speech enhancement, speaker recognition, image coding, bioinformatics, machine learning and artificial neural networks
الخبرات والمناصب الإدارية
- Vice-Rector Assistant
المؤهلات العلمية
- Bachelor degree
- Master degree
- Doctorate degree
الاهتمامات البحثية
Automatic Speech Recognition
Speech Coding
Artificial Neural Networks
Signal Processing
Data Mining
Machine Learning
Speech Enhancement
اليوم | المادة | الوقت |
---|---|---|
الأحد | Digital Signal Processing | 02:00 - 05:00 |
الثلاثاء | Digital Signal Processing | 02:00 - 05:00 |
- Silicon Germanium Dioxide and Aluminum Indium Gallium Aarsenide Based Acoustic Optic Modulators for Upgrading Transmission Performance Characteristics
- RZ Line Coding Scheme With Direct Laser Modulation Response Measured for Upgrading Optical Transmission Systems
- Wavelength Division Multiplexing Techniques Based on Multi Transceiver in Low Earth Orbit Intersatellite Systems
- Different Modulations Schemes for Direct and External Modulators Based On Various Laser Sources
- High-Speed Signal Processing and Wide Band Optical Semiconductor Amplifier in the Optical Communication Systems
- Four Bits Data Sequence Generators Based Ytterbium Doped Fiber Amplifiers for Upgrading Max Q factor and Min BER
- Beam Divergence and Operating Wavelength Bands Effects on Free Space Optics Communication Channels in Local Access Networks
- The Effects of Adding Different Adhesive Layers with a Microstructure Fiber Sensor Based on Surface Plasmon Resonance: A Numerical Study
- Differential Optical Absorption Spectroscopy-Based Refractive Index Sensor for Cancer Cell Detection
- Extremely Sensitive Photonic Crystal Fiber Based Cancer Cell Detector in Terahertz Regime
- Design and analysis of a single elliptical channel photonic crystal fiber sensor for potential malaria detection
- High Speed Modulated Wavelength Division Optical Fiber Transmission Systems Performance Signature