• A Safety-Based Architectural Design Method for Software Product Lines 

  Suliman, Mozamil Ebnauf Elgodbe; Supervisor, - Hany H. Ammar; Co-Supervisor, - Aisha Hassan (Sudan University of Science and Technology, 2022-12-12)

  The safety is considered one of the most critical issues in the design of the modern systems (e.g. cyber-physical systems). With the increasing attention of software safety, how to improve software safety has already become ...
• Enhanced Deep Learning Framework for Face Verification Across Age Progression 

  Osman, Areeg Mohammed; Supervisor, -Serestina Viriri, Professor (Sudan University of Science & Technology, 2023-01-19)

  Facial aging is a texture and shape variations that affect the human face as time progresses. Current face verification across age systems lack the required efficiency to recognize facial shape and texture variations at ...
• A Machine Learning Holistic Strategy for miRNA-mRNA Module Discovery 

  Shommo, Ghada Ali Mohamed; Supervisor, -Bruno Apolloni (Sudan University of Science and Technology, 2022-12-22)

  microRNA (abbreviated miRNA) is a small non-coding molecule, that is made up of approximately 22 nucleotides, found in plants, animals, and some viruses. They act as regulators by binding their targets to degrade or ...
• Developing a Model for Optimizing Video Streaming Quality of Experience in Software-defined Networks 

  Ali, Majda Omer Elbasheer; Supervisor, -Jaime Lloret Mauri (Sudan University of Science and Technology, 2022-08-20)

  In recent years, video streaming has become widely widespread, especially with the growth of users, mobile devices, and the availability and diversity of multimedia applications. Real-time video communications require ...
• Developing An Optimized Type 2 Fuzzy Logic ModelBased for Prediction of Basel Metabolic Rate Diet Recommendation System for Diabetes in Sudan 

  Mohammed, Heba Abdelgader; Supervisor, -Hani Hagras (Sudan University of Science & Technology, 2022-08-15)

  Diabetes is one of metabolic diseases which effects on productivity and lowers the human resources quality. This disease can be controlled by maintaining and regulating a balanced and healthy lifestyle especially, for daily ...
• An Optimized Type-2 Fuzzy Logic Model Based on Weighted Random Early Detection for Congestion Detection in Wired Networks 

  Alhassan, Maha SalahEldeen Elbadawy; Supervisor, -Hani Hagras (Sudan University of Science & Technology, 2022-11-18)

  Congestion is the greatest challenge facing the transmission of data packets across computer networks. Congestion in the router buffer increases packet loss. Packet loss is a major problem of networks and their control and ...
• A Comparative Study of Optimization Techniques for Minimizing Fuel Cost in the Smart Grid 

  ALhuruk, Alaa Siddig Ali Mohammed Ahmed; Supervisor, -Alaa Sheta (Sudan University of Science & Technology, 2022-09-26)

  The design of a smart electric power grid is a challenge. One of the famous problems in this field is the Economic load dispatch (ELD) problem. ELD is a challenge optimization problem to minimize the total cost of the ...
• Flood Water Analysis Using LiDAR DEMs Study Area (Sudan - Khartoum- Azozab) 

  Siddiq, Fatma Ibrahim Abdelmoutalib; Supervisor, - Dieter Fritsch (Sudan University of Science and Technology, 2022-09-01)

  Flood is the deadliest type of severe weather. A flood is an overflow of water that submerges land that is usually dry. Floods can also come on quickly or build gradually. It is a well-known fact that the use of Geographic ...
• Development of an Automatic Segmentation Model for Quran Verses at phoneme level 

  Ali, Alaa Ehab Mohamed Elsaied; Supervisor, -Mohsen Rashwan (Sudan University of Science & Technology, 2022-06-26)

  In this research, two models were built to obtain automatic segmentation of the verses of the Holy Quran at the phoneme level, in the first model the Hidden Markov Model Tool Kit HTK was used, the second model was built ...
• Development of Deep Neural Networks Framework for Travel User Interest Discovery from Visual Shared Data in Social Networks (Case Study Facebook, Sudan) 

  Mostafa, Fatima Mohamed Yassin; Supervisor, - Adel M. Alimi (Sudan University of Science & Technology, 2022-08-01)

  Social networks are virtual environments where users express their opinions, preferences and interests. All shared information in Social Networks like Facebook, Twitter, LinkedIn can be very useful to understand citizen’s ...
• An Optimized Type-2 Fuzzy Logic Based System for Detection of Financial Defaults in Sudanese Banking Sector 

  Abdelazez, Ahmed Salih Mohamed; Supervisor, -Hani Hagras (Sudan University of Science & Technology, 2022-03-28)

  The recent global financial-economic crisis has led to the collapse of several companies from all over the world. This has created the need for powerful models which can predict and reduce potential risks in financial ...
• A ConceptualFramework of Digital Government for the Success of Whistleblowing in Public Organizations 

  Walle, Yelkal Mulualem; Supervisor, -Tomasz Janowski; Co- Supervisor, -Elsa Estevez (Sudan University of Science & Technology, 2022-10-28)

  In recent years, there has been an increase in the development and adoption of Digital Government (DGOV) - the use of digital technology to transform public sector organizations and their interaction and engagement with ...
• A Development of Directional Gradient Local Ternary Pattern for Facial Expression Recognition 

  Nour, Nahla Abdellatif Elmobark; Supervisor, - SERESTINA VIRIRI (Sudan University of Science and Technology, 2022-03-23)

  Humans can easily determine ones’ gender, identity and ethnicity with highest accuracy as compared to face expression recognition.. This makes development of automatic face expression recognition techniques that surpass ...
• Lightweight and Efficient Cluster-based Routing Protocol for Wireless Sensor Networks 

  Yagoub, MudathirFadoulSayed; Supervisor, -Joel JoséPuga Coelho Rodrigues (Sudan University of Science & Technology, 2022-03-12)

  Wireless Sensor Networks (WSNs) has gained a great significance from researchers and industry due to its wide applications. The discovery of effective service and removing redundancy area key to achieve a higher level of ...
• A Novel Image Steganography Method Using Fuzzy Logicand Edge Detection 

  Salih, Hala Salih Yusuf; Supervisor, -Hani Hagras (Sudan University of Science & Technology, 2022-03-23)

  Steganography is one of the information hiding techniques that hides a message inside another message without drawing any suspicion. For hiding messages, various types of media are used. Image steganography is the technique ...
• A New Model to Enhance the Automatic LiverSegmentation based on U-net Architecture 

  Mohammed, Fatima Abdalbagi; Supervisor, -Serestina Viriri (Sudan University of Science & Technology, 2022-03-12)

  In computer vision, image segmentation is defined as the process of partitioning an image into several regions with homogeneous features. The region of our interest here in this thesis is the liver. The main goal of the ...
• Developing a Deep Machine Learning Model for Offline Arabic HandwrittenScripts Recognition 

  Ahmed, Rami Saad Eldin Alfaki Mohamed; Supervisor, -Amir Hussain (Sudan University of Science & Technology, 2022-02-22)

  Boosted performance in Offline Arabic Handwritten Recognition (OAHR) models have recently gained significance due to the variety of the growth of the real-world applications in the pattern recognition domain. However, OAHR ...
• A Model to Measure the Impact of Teacher-Student Communication and its Effects on the Educational Process 

  Hassan, Mohamed Ibrahim Alsaid; Supervisor, -Piet Kommers (Sudan University of Science & Technology, 2021-02-20)

  The revolutionary developments in the field of information and communication technology, especially the disciplines related to computers, mobile phones, and the Internet - have brought a renaissance in educational technology, ...
• A comparison of Improved Meta-Heuristic Optimisation Based Speech-Enhancement Systems 

  Taha, Taiser Mirgahni Fath Elrahman; Supervisor, -Amir Hussain (Sudan University of Science & Technology, 2021-02-26)

  Speech enhancement has become an area of interest to researchers in the field of machine learning as a result of the development of digital signal processing applications. The goal of speech enhancement is to increase the ...
• Development of Bayesian Optimization Convolutional Neural Network model for Face Age Estimation 

  Ahmed, Marwa Jamal Eldein Salih; Supervisor, -Serestina Viriri (Sudan University of Science & Technology, 2021-04-13)

  Age estimation of unrestricted imaging circumstances has attracted an augmented recognition as it is applicable in several real-world applications such as security control, multimedia communication, human computer interaction, ...

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