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List Of Computing Engineering Dissertation Topics In the UK
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1. Impact of artificial intelligence on cybersecurity
Aim
The main aim of studying this topic is to examine that how AI technologies could be utilized to enhance the measures of cybersecurity.
Objectives
- To identify how AI could be utilized to identify and prevent cyber threats more efficiently.
- To examine the potential risk and limitation of relying on AI for cybersecurity.
- To identify the challenges and problems in implementing AI based cybersecurity solutions in different industries.
- To identify how AI assist in mitigating and identifying insider threats.
2. Exploring the potential of blockchain technology in supply chain management
Aim
The main aim of studying this topic is to understand that how blockchain could improve and revolutionise several perspective of supply chain operations.
Objectives
- To identify how blockchain improves traceability and transparency in supply chain management.
- To identify the barriers and challenges to implement blockchain in supply chain management.
- To identify how blockchain optimize inventory management and reduce inefficiencies in supply chain.
- To identify the implications of blockchain for regulatory compliance in supply chain process.
3. Enhancing cloud computing security using ML algorithms
Aim
The main aim of conducting this study is to leverage ML methods and techniques in order to strengthen the security defenses and measures in cloud computing environments.
Objectives
- To identify how ML techniques be used to prevent and detect unauthorized access in cloud environment.
- To identify the limitations and challenges of implementing ML based security solutions in cloud computing.
- To identify how machine learning technique enhance the mitigation and identification of DDoS attack in cloud environment.
- To identify the implications of using machine learning for real time monitoring and incident response in cloud security.
4. Investigating the use of quantum computing in cryptography
Aim
The main aim of conducting this research is to discover that how quantum computing could affect the crptography field and create new cryptographic methods that can standby quantum attacks.
Objectives
- To identify how quantum computing affect the security of current cryptographic algorithms.
- To identify the limitations and challenges of implementing quantum resistant cryptography.
- To identify the potential benefits and risks of adopting quantum resistant cryptography.
- To identify the vulnerabilities of traditional cryptographic system to quantum attacks.
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5. Developing efficient algorithms for big data processing in IoT applications
Aim
The main aim of exploring this topic is to create algorithms which helps to manage the large volume of data generated by IoT devices in resource and timely efficient manner.
Objectives
- To identify how to optimize the processing speed of big data in an IoT application.
- To identify the methods and techniques that could be employed to manage the scalability challenges of processing large volume of data.
- To identify the data structure or algorithm that could be utilized to effectively retrieve and store data in IoT application.
- To identify what techniques could be employed to ensure the privacy and security of big data in IoT application during processing.
6. Analysing the role of edge computing in enhancing real time data anlytics
Aim
The main aim of conducting this research is to understand that how edge computing could improve the efficiency and speed of analyzing and processing data in real time scenarios.
Objectives
- To identify how edge computing improves the responsiveness and speed of real time data analytics.
- To identify the benefits of analyzing and processing data at the edge compared to traditional cloud based approaches.
- To identify the limitations and challenges of implementing edge computing for real time data analytics.
- To identify the privacy and security implications of using edge computing for real time data analytics.
7. Designing energy efficient algorithms for wireless sensor network
Aim
The main aim of conducting this research is to create a computational approach that helps to reduce the energy consumption of individual sensor nodes while maintaining network performance
Objectives
- To identify how to optimize the energy consumption of individual sensor nodes during data transmission.
- To identify what strategies should be implemented in order to reduce energy usage during routing in the wireless sensor network.
- To identify how to handle the data traffic in the network to reduce energy consumption.
8. Investigating the challenges and solutions for data privacy in IoT era
Aim
The main aim of studying this topic is to address and understand the potential vulnerabilities and risk connected with the storage, sharing, and collection of data in terms of IoT.
Objectives
- To identify the main privacy risk and concerns connected with the collection and use of data in IoT devices.
- To identify the potential threats and vulnerabilities that can compromise data privacy in IoT network.
- To identify the regulations and policies required to be put in place to ensure data privacy in the era of IoT.
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9. Impact of optimizing resource allocation in cloud computing environment
Aim
The main aim of exploring this topic is to examine that how effectively allocating resources could improve the scalability, cost-effectiveness, and performance of cloud based services and applications.
Objectives
- To identify how resource allocation impact the scalability and performance of cloud based applications.
- To identify the trade-offs between cost effectiveness and resource allocation efficiency in cloud computing.
- To identify the role of virtualization technology in optimizing resource allocation in cloud computing.
10. Impact of ML in improving medical diagnosis
Aim
The main aim of studying this topic is to observe that how machine learning techniques and methods could enhance the effectiveness, accuracy, and efficiency of diagnosing several medical conditions
Objectives
- To identify how machine learning techniques trained accurately to analyse medical data and help in diagnosing disease.
- To identify the potential limitations or challenges of implementing machine learning in medical diagnosis.
- To identify the kinds of medical data could be efficiently interpreted and processed by machine learning methods for diagnosis.
11. Impact of 5G technology on mobile app development
Aim
The main aim of conducting this research is to examine that how introduction of 5G network could revolutionise the user experience and capabilities of mobile applications.
Objectives
- To identify how can 5G’s lower latency and faster speed enhance the responsiveness and performance of mobile apps.
- To identify the impact of 5G will have on the streaming capabilities of mobile apps like audio streaming and high quality video.
- To identify what considerations and challenges should be checked while optimizing and designing mobile apps for 5G network.
12. Designing intelligent system for autonomous vehicle
Aim
The main aim of conducting this research is to create a technology that could efficiently and safely operate vehicles without the human involvement.
Objectives
- To identify what technology and sensors are needed for the vehicle to collect real time data regarding its environment.
- To identify how could the vehicle efficiently navigate difficult road scenarios like roundabouts, construction zones, and intersections.
- To identify how the vehicle could adapt to changing weather, unexpected obstacles, and road conditions.
13. Impact of cybersecurity threat on critical infrastructure system
Aim
The main aim of exploring this study is to observe the potential vulnerabilities and risk that these infrastructure system faces.
Objectives
- To identify the weak points and potential vulnerabilities in critical infrastructure system that could be exploited by cyber attackers.
- To identify the potential damage and cost connected with a successful cyber attacks on critical infrastructure and how to reduce these risk.
- To identify the regulatory and legal frameworks that govern the protection of critical infrastructure from cyber threats and how can they be strengthened.
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14. Developing algorithms for efficient image and video processing in computer vision
Aim
The main aim of conducting this research is to enhance the efficiency, speed, and accuracy of analyzing visual data.
Objectives
- To identify the methods that could be used to optimize the computational resources needed for video and image processing task.
- To identify the strategies and policies that should be applied to distribute and parallelise video and image processing algorithms across multiple computing resources.
- To identify the current technologies and trends in video and image processing that could be leveraged to create more effective algorithms.
15. Impact of ML in natural language processing
Aim
The main aim of studying this topic is to improve the generation and understanding of human language by computers.
Objectives
- To identify how machine learning improves the effectiveness and accuracy of language understanding and generation in natural language processing task.
- To identify the various machine learning models and algorithms used in natural language processing and how could they contribute to better language processing.
- To identify the new trends and future directions in the intersection of machine learning and natural language processing.
16. Impact of virtual reality in enhancing user experience in gaming
Aim
The main aim of conducting the study “impact of virtual reality in enhancing user experience in gaming” is to create a more interactive and immersive gaming environment.
Objectives
- To identify how the technology of virtual reality improves and enhances realism and immersion of gaming experience.
- To identify the limitations or challenges of implementing virtual reality in gaming and how they could be addressed.
17. Designing secure and privacy preserving protocols for IoT devices
Aim
The main aim of conducting this study is to ensure that the data stored and transmitted by these devices remains protected and confidential from unauthorized access.
Objectives
- To identify the best practices for securely transmitting and storing the data within the IoT ecosystem.
- To identify the data transmission between IoT devices is protected and encrypted from unauthorized access.
- To examine the design protocols that reduces the sharing and collection of personally identifiable information while allowing for effective functionality and communication.
- To identify what measures should be taken to protect IoT devices from common security threats like malware, data breaches, and hacking.
18. Impact of quantum computing on optimization problem
Aim
The main aim of studying this topic is to observe that how quantum computers could potentially resolve difficult optimization problems more effectively as compare to classical computers.
Objectives
- To identify how quantum computers solve optimization problem more effectively as compare to the classical computers.
- To identify the limitations and challenges of using quantum computing for optimization.
- To identify the potential applications of quantum optimization in several fields like machine learning, logistics, and finance.
- To identify the software and hardware necessities for implementing quantum optimization algorithms.
19. Impact of AI in improving healthcare system
Aim
The main aim of conducting this research is to discover that how AI could improve and enhance several perspective of healthcare delivery.
Objectives
- To identify how artificial intelligence assist in enhancing the speed and accuracy of medical diagnosis.
- To identify the role of artificial intelligence in personalized treatment and medicine plans.
- To identify how AI enhances the efficiency of healthcare operations like resource allocation and scheduling.
- To identify the barriers in implementing artificial intelligence in healthcare and ensuring the security and data privacy.
- To identify how artificial intelligence could be utilized to improve patient monitoring and remote healthcare services.
- To examine the potential biases and ethical considerations associated with using artificial intelligence in healthcare.
- To identify the affect of artificial intelligence have on healthcare research and drug discovery.
20. Developing algorithms for optimizing energy consumption in data centers
Aim
The main aim of studying this topic is to identify efficient ways to minimize the energy amount utilized while maintaining the required functionality and performance of data center.
Objectives
- To identify how to accurately monitor and measure energy usage in data centers.
- To identify the main factors contributing to energy consumptions in data centers.
- To identify what policies and strategies should be engaged to optimize server utilization and reduce idle time.
- To identify the process of integration of renewable energy sources into data center operations.
- To identify the potential barriers and implementations to implementing energy optimization algorithms in data centers.
