Specializes in Telecommunications, Digital Systems, Coding, Optimizations and Stochastic Process
20+ years of teaching and research experience
Research Guidance & Topics
Steps to Select a Research Topic
Use the steps below to guide you through the process of selecting a research topic:
Brainstorm for ideas
Read General Background Information
Focus on Your Topic
Make a List of Useful Keywords
Be Flexible
Define Your Topic as a Focused Research Question
Research and Read More About Your Topic
Formulate a Thesis Statement
Research Topics for MSc/PhD Students (Class A)
[Admission of new students has been frozen]
This class of topics is a preliminary list of updated generic researches that are available for MSc or PhD students.
Dynamic Pricing to Maximize Network Revenue
Cooperative Spectrum Sensing for Cognitive Radio Network
Cell-Free Massive MIMO: Scalability, Power Control, and Throughput Optimization in 5G Networks
Improving Accuracy for Indoor Position System Based on Machine learning Model
Low-Density Parity-Check codes (LDPCC) for 5G
Low Density Parity Check (LDPC) codes have acquired considerable attention due to its powerful channel coding technique, with an adequately long codeword length. The performance of LDPC codes has been investigated in many events of interests and is encountered to outperform turbo codes with good error correction.
Millimeter Wave Mobile Communications for 5G Cellular
There is little knowledge about cellular mm-wave propagation in densely populated indoor and outdoor environments. Obtaining this information is very important for the design and operation of 5G cellular networks that use the mm-wave spectrum. There is motivations to study this new mm-wave cellular systems and offer a variety of measurement in the band of 28 and 38 GHz frequencies can be used when employing steerable directional antennas at base stations and mobile devices.
Analyze and Improve the Performance of Wireless Communication Networks Using Non-Orthogonal Multiple Access Technology
The study’s significance rests in its potential to change wireless networks. By lowering latency, it can support more users, and increase spectral efficiency by utilizing NOMA. This research will assist network operators, device manufacturers, and end-users alike. It is in line with the worldwide movement for sustainable and effective communication technologies.
Real-Time Signal Recovery in High-Mobility MIMO-OFDM Systems Under AWGN and Rayleigh Fading Using Hybrid Deep Learning Models
Wireless communication systems in high-mobility environments face significant challenges due to rapid channel variations, affecting signal quality, particularly in OFDM systems. Traditional signal recovery techniques struggle under fast time-varying Rayleigh fading and low SNR conditions, while deep learning models, though powerful, often lack interpretability and require extensive training data. This research highlights the need for a robust, adaptive signal recovery framework that can effectively handle AWGN and Rayleigh fading in real-time. A hybrid deep learning approach, merging classic signal processing with neural networks, could offer enhanced accuracy and efficiency over existing methods.
Research Topics for BSc Students (Class B)
This class of topics is a list of updated generic researches that are available for BSc students.
"Power Control Optimization in Cellular Network based on Machine Learnings" (Abdulaziz Kshidan and Abdulkhaleq Aldaqdaq, Graduated-March 2023)
"Implementing Zigbee Networks for Monitoring and Tracking Electricity Meters" (Mohammed Altayib and Milad Azzoka, Graduated-April 2024)
"Performance Analysis of Different Diversity Combining Techniques in Wireless Communication Systems" (Ahmed Abdelsalam Al-Daimi and Hamad Abubaker Ali
, Graduated-July 2025)
"Design and Implementation of a Smart Patient Monitoring System Based on IoT with Remote Alerting " (Sara Miftah AbuAisha, Montha Ebrahim Abdulhafeed and Nora Matoq Ehmeda, Graduated-January 2026)
Digital Watermarking Techniques for Video Copyright Protection
Satellite Communications
Designing satellite communication systems to reach remote areas
Improving data transfer speeds in space communications
Studying the impact of weather conditions on signal quality in satellite communications
Artificial Neural Networks in Communication Optimization
Using artificial intelligence to improve data routing in networks.
Applying deep learning to detect faults in communication
networks.
Enhancing Quality of Service (QoS) using neural networks.
Optical Communications (Li-Fi)
Comparing Li-Fi and Wi-Fi technologies in terms of speed and
security.
Designing optical communication systems for indoor use.
networks.
Studying the impact of optical interference on communication
quality in Li-Fi
Deep Space Communications
Studying the challenges of communications in deep space.
Designing wireless communication systems for deep space missions
Improving data transfer speeds between Earth and spacecrafft
Communications in Autonomous Vehicles
Designing Vehicle-to-Vehicle (V2V) communication systems to improve road
safety.
Studying the impact of communication delays on the performance of
autonomous vehicles.
Developing wireless communication protocols for smart vehicles.
Energy Efficiency in Communication Networks
Designing communication systems that rely on renewable energy.
Techniques to reduce energy consumption in wireless communication stations.
Studying the impact of energy-saving technologies on service quality.
Integrate Artificial Intelligence and Voiceprint Technology as Biometric Authentication Methods
Hand Gestures: Recognition and Interpretation using Nural Networks
Class Attendance System based on Bluetooth in Smart Devices
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