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. Image forensics
a) Image forgery detection. It includes the application of different rotation-shift-blur invariant methods to detect whether any image has undergone any type of forgery.
 
2. Voice disorder classification:
a) Acoustic analysis of medically disordered Arabic voice.
b) Automatic classification of voice disorder.
 
3. Speech / speaker recognition:
a) Arabic speaker recognition.
In these topics, detailed experiments on different types of feature extraction and classification methods are to perform.
 
4. Fingerprint recognition
a) Fingerprint recognition using texture descriptors.
b) Interoperability of fingerprint recognition.
 
5. Face recognition
a) Face feature extraction.
b) Face categorization.
c) Face feature selection
 
6. Biometrics
a) ECG

Ongoing / Past Ph.D. or Master’s Thesis and Project Supervision
 
Ph.D. Supervision
2015-2017
        Investigation of Frequency Regions for Voice Pathology Detection and Classification,  Ahmed Al-nasheri
2009-2013
        A multi-directional feature extraction technique for speaker recognition, Awais Mahmood (co-supervision)
 
Master Thesis / Project 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
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
(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
 
2016-2017
Grasping balls and arranging them in baskets by a mobile robot
Student: Kayed Abdullah Al Qahtani, Hesham Khalid Al Ismail, Luai Abdullah Al Sofyani

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

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