Thesis and Projects

Prospective Thesis / Project / Independent Research Study Students

Students are welcome to take Ph.D. or Masters Project / Thesis / Independent Research Study with me. Students who are interested in the following area can contact me by email.
1. Medical Image Processing
a) For the application of a smart healthcare framework, where the medical images will be processed and classified using deep learning networks. Medical images can be X-rays, CT scans, ultrasound images, etc.
 
2. 1D Medical Signal Processing:
a) For the application of a smart healthcare framework, where the medical images will be processed and classified using deep learning networks. 1D signals can be EEG (multi-channels), ECG, EOG, EMG, etc. 

3. Deep learning, meta learning, federated learning, reinforcement learning:
a) New approaches to this learning in healthcare and robotics applications.

Ongoing / Past Ph.D. or Master’s Thesis and Project Supervision
 
Ph.D. Supervision

2020-
      Sensor based Human Activity Recognition with Spatio Temporal Deep Learning, Ohoud Nafea Bakeat Almohammadi, (co-supervision)
2019-
      Human Fall Detection Using Multistream Convolutional Neural Networks with Fusion, Thamer Alanazi
2017-2020
       Hand gesture recognition for sign language using deep learning techniques, Muneer Hamid A. Al-Hammadi
2016-2019
        Deep Learning for Brain’s Motor Imagery Activity Classification based on Electroencephalography, Syed Umar Amin, (co-supervision)
        A Novel Tree-Based Deep Convolutional Model, Abduljawad A. Amory, (co-supervision)
2015-2017
        Investigation of Frequency Regions for Voice Pathology Detection and Classification,  Ahmed Al-nasheri
        Automatic Voice Pathology Assessment System for Vocal Fold Disorders, Zulfiqar Ali, (co-supervision), University Teknologi Petronas, Malaysia.
2009-2013
        A multi-directional feature extraction technique for speaker recognition, Awais Mahmood (co-supervision)
 
Master Thesis / Project Supervision
2020-2021
(Thesis) Tuberculosis Detection in Chest Radiograph by Using Convolutional Neural Networks Architecture, Saad Ibrahim Nafisah
2018-2019
(Thesis) A vision system for date harvesting robot, Hamdi Altaheri, (co-supervision)
2013-2014
(Thesis) Image forgery detection based on texture descriptors, Aisha Al-Bogami
(Project) Image forgery detection using MSB and local texture descriptors, Mai  Sulaiman Hamad Altulyan
(Thesis) Detection and/or Classification of Voice Pathology Using Feature Selection, Malak Mohammad AlMojaly
(Thesis) Automatic voice pathology detection based on vocal tract area measurement, Ghadir Ali AlTuwaijri
(Thesis) Automatic Pronunciation Error Detection of Non-native Arabic Speech, Afnan Waheed AlHindi, (co-supervision)
2012-2013
(Thesis) Copy Move Image Forgery Detection Based on Multiresolution Techniques, Muneer Hamid Ahmed Al-Hammadi
(Project) Category Specific Face Recognition Using Bandlets, Faten Abdullah Alomar, (co-supervision)
(Thesis) Voice Pathology Detection Based on MPEG-7 Features, Moutasem Melhim
(Thesis) Automatic Detection of Copy-Move Image Forgery Based on Clustering Technique, Motasem S. Al-Sawadi
(Project) Face Recognition Using Ridgelet Coefficients, Mutib Hamdan AL-Enazi
2011-2012
(Project) Applying Feature Selection on Local Binary Patterns/WLD for Ethnicity classification for Category-specific Face Recognition, Fatimah Alanizi
2009-2010
(Thesis) Feature selection based verification system using palm and fingerprint, Muhanad M. Jazzar
(Project) Extract context from environment sound, Mobarak Obaid Alqahtani
 
 
Ongoing / Past Student Graduation Project Supervision
 
2020-2021
Design of an electroencephalogram (EEG)-based motor imagery classification system
Students: Yazeed Khalid Musallam, Nasser Ibrahim AlFassam, and Khalid Saleh Alshehri

2019-2020
Design of a pair of assistive smart glasses for deaf people to understand speech and speaker
Students: Saud Mohammed Almalek, Naif Ali Alosimi, and Abdulrahman Rashed Alfadhli 

2018-2019
Automatic Emotion Recognition Using Convolutional Neural Network
Students: Abdulaziz Fahad Alajlan and Mohammed Tarek Adnan Khattab

2016-2017
Grasping balls and arranging them in baskets by a mobile robot
Students: Kayed Abdullah Al Qahtani, Hesham Khalid Al Ismail, and Luai Abdullah Al Sofyani

2014-2015
Implementation of face recognition system using local texture descriptors
Students: Mohammed AlNashwan and Hossam AlQahtani
                                                                                                     
2014-2015
Implementation of Voice Pathology Detection System Using EGG Signal
Students: Abdulelah abahussain and Moath alsoweliam

2013-2014
Implementation of Voice Pathology Detection System Using Graphical User Interface
Students: Othman Abdullah Al-Hudaib and Mohammed Salem Al-Farhah
 
2011-2012
Face and Race Recognition Using Face Images
Students: Abdullah Ibrahim Al-Duhaim and Abdullah Abdulaziz Al- Mubarak
 
2010-2011
Implementation of Arabic speaker recognition system
Students: Mohamed Almalki and Abdul Aziz
 
2010-2011
Implementation of automatic diagnostic system for medically disordered voice
Students: Mohammed Alomari and Mohammed Alshehri

2009-2010
Implementation of image forgery detection
Student: Khalid Khawaji
 
2009-2010
Effect of vehicle noise in Arabic speech recognition
Student: Majed Khaled Al Hamsh
 
2009-2010
Environment detection from digital audio
Student: Waleed Al-shaya
 
2009-2010
Study of Pitch Pattern in Saudi Accented Arabic Speech
Student: Mohammed Salih Al-Otaibi
 
2008-2009
Evaluation of Speech Enhancement Algorithms
Student: Mohannad Samir Khattab
 
2008-2009
Removing Noise from Noisy Speech
Students: Khaled Abdullah Al-Otaibi and Hussain Hilal Al-Qurashi