Hi, Kiranbir.

For an MSC Computer Engineering dissertation at Solent University, it is essential to choose a subject that is both relevant to current technological developments and allows for thorough research and inventive problem-solving. Here are a few recommendations from available literatures for prospective dissertation topics, along with the accompanying difficulties and recommended solutions.

Note: I have extensively refined the majority of this content using AI to enhance its academic tone.

Title: Enhancing Internet of Things (IoT) Security Through Blockchain Technology

Problem: IoT devices often lack robust security, making them vulnerable to cyberattacks. The centralized nature of traditional IoT networks exacerbates this issue.

Solution: Implement a decentralized security system using blockchain technology to enhance security and integrity in IoT networks. This project would involve developing a prototype to demonstrate the feasibility of blockchain in mitigating security risks.

Title: Machine Learning Optimization for Autonomous Vehicle Navigation

Problem: Autonomous vehicles (AVs) face challenges in dynamic environments due to limitations in current machine learning models that impact decision-making under uncertain conditions.

Solution: Develop and test new machine learning algorithms that enhance the accuracy and efficiency of AV navigation systems in complex, unpredictable scenarios. This could involve simulations and real-world testing to validate the improvements.

Title: Development of a Smart Health Monitoring System Using Wearable Technology

Problem: Current health monitoring systems are often invasive, expensive, and not user-friendly, limiting their widespread adoption for continuous health monitoring.

Solution: Design a non-invasive, cost-effective wearable device that utilizes advanced sensors and data analytics to monitor vital health parameters in real-time. The project would also include developing an associated app for data visualization and health management.

Title: Advanced Deep Learning Models for Early Detection of Cybersecurity Threats

Problem: As cyber threats evolve, existing security systems struggle to detect new and sophisticated threats in a timely manner.

Solution: Utilize deep learning techniques to develop predictive models that can identify potential cybersecurity threats before they cause damage. This involves training models on large datasets of security incidents to improve threat detection capabilities.

Title: Energy-Efficient Computing for Sustainable Data Centers

Problem: Data centers consume a significant amount of energy, contributing to high operational costs and environmental impact.

Solution: Investigate and implement energy-efficient computing strategies, such as server virtualization, advanced cooling mechanisms, and renewable energy integration. The dissertation would include modeling and simulation to assess the impact of these strategies on energy consumption and sustainability.

Dear Kiranbir Kaur,

This answer deals with a research area that has been my central one for many decades. I do recommend thinking about and considering working in complex systems. There are many existing research areas that require solid programs as tools to study the properties of complex systems. 

Personally, I do recommend this area as it has a huge potential to work on a vital research problem, which will be interesting to many non-programming researchers. 

Program prototypes of even more advanced software are highly welcomed by many researchers who are not IT specialists. Examples follow. In collaboration with Jakub Tkac during his master degree in IT, the old program on dynamic recrystallization was rewritten into C++ and Qt using OOP. There is quite a huge interest in it in the community of researchers working on metal-forming models. 

Another example is the GoL-N24 software that is used to simulate an extended 'Game of Life' cellular automaton to search for emergents. This is gradually gaining quite some traction and is used to perform research about emergent information processing, which can help bring more light into the functioning of not only biological systems. 

Another vital area of research can be agent-based modeling, network dynamics, bioelectricity of living cells with respect to morphology, and the list goes on. In my review of complex systems in biology and medicine, I have systematically reviewed all major methods on which you can work. 

The best would be to contact some active complex systems researchers and offer cooperation on the development of some software. 

Good luck. :-) 🙏