Quantum-Enhanced Smart Data Governance

We are offering a self-funded PhD position with the Brunel Business School, focusing on quantum-enhanced smart data governance.

Applications are accepted on a rolling basis.

If you have any questions about the project or would like to arrange an informal discussion, please reach out to Dr Asieh Hosseini Tabaghdehi at asieh.hosseinitabaghdehi@brunel.ac.uk.

Research area

Immerse yourself in the specialised field of Quantum Computing and Smart Data Governance. This area focuses on leveraging quantum principles such as superposition, entanglement, and quantum parallelism to improve the scalability, processing speed, and complexity of data governance systems. You will have the opportunity to design quantum-enabled smart data models that efficiently process and secure vast and intricate datasets, facilitating better decision-making, enhanced data privacy, and improved predictive analytics.

Project description

You will play a key role in advancing research on how quantum computing can enhance data management, privacy, and security. This project aims to develop new methodologies for creating quantum-enabled smart data models that drive better decision-making and provide a platform for you to develop your skills and make impactful contributions.

Key focus areas

As a PhD candidate, you will focus on:

Quantum Data Encryption and Privacy: Develop quantum encryption techniques that enable secure data storage and transmission, making smart data governance systems more resilient against cyber threats.
Quantum-Optimized Data Processing: Investigate how quantum computing can accelerate data processing tasks in smart data systems, improving efficiency in handling large-scale, high-dimensional datasets in real-time.
Quantum-Enabled Data Governance Frameworks: Create governance frameworks that integrate quantum computing's capabilities for data auditing, access control, and compliance monitoring, ensuring the integrity and ethical use of data.
Quantum Machine Learning for Data Insights: Explore how quantum algorithms can be applied to machine learning models for enhanced data analysis, pattern recognition, and predictive capabilities, unlocking new insights from complex datasets.
Ethical Implications of Quantum-Driven Data Systems: Examine the ethical considerations and potential risks associated with merging quantum technologies with smart data governance, particularly regarding transparency, accountability, and fairness in automated decision-making.

This research area seeks to bridge the gap between quantum computing and modern data governance, aiming to create innovative solutions for data-driven industries while ensuring responsible and sustainable use of emerging technologies.

How to apply

If you are interested in applying for the above PhD topic please follow the steps below:

Contact the supervisor by email or phone to discuss your interest and find out if you would be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.

Good luck!

This is a self funded topic

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: /research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.

Meet the Supervisor(s)

Asieh Hosseini Tabaghdehi - Dr Asieh Tabaghdehi is a Senior Lecturer in Strategy and Business Economy, and Programme Lead for the BSc International Business Programme and Trade2Grow Executive Education Programme at Brunel University of London, as well as, an economist and social impact advisor for the independent NGO, . Asieh is a well-recognised academic in digital transformation, focusing on the strategic integration of artificial intelligence (AI) and digital technologies to advance sustainable business practices and address critical social and economic challenges. From 2021 to 2022, Asieh co-investigated the , funded by the UK Research Institute (UKRI), that explored the ethical implications of digital footprint data on value creation for SMEs. One of the project outputs was the Digital Business Auditing Framework, which has been adopted internationally for smart city initiatives. Asieh has attained an international reputation in the field of ethical integration and deployment of AI, particularly in the contexts of smart data governance. Her research integrates industry collaboration, public engagement, and policy dialogue with an emphasis on the social and economic dimensions of responsible smart city development and innovative healthcare systems. Asieh’s contributions have been widely cited in academic, practitioner, and policy outputs, and her research has informed national and international governments and businesses. Her research on connected technology has been presented as both written and oral evidence to the House of Commons Select Committee at the request of the Department for Digital, Culture, Media and Sport (DCMS) and has been featured in national and international press. She is widely published in academic peer-reviewed journals, the press, is a frequent speaker at academic and industry conferences, and has responded to a number of policy inquiries at national and international level. She is also the author of the book , which addresses multiple facets of the AI ecosystem, including data ethics, governance, and innovation. In collaboration with the Department for Business, Energy & Industrial Strategy (BEIS), Asieh co-designed the "Digital Adoption" module for the UK Government’s Help to Grow Management program, aimed at enhancing the digital capabilities of SMEs. Asieh is a Fellow of the UK Higher Education Academy, a member of the ESRC Review College, the British Academy of Management Review College, and the Energy Institute UK. She also serves as an associate practitioner at Social Value International, an associate member of the Big Innovation Centre, and All-Party Parliamentary Group (APPG)- Artificial Intelligence. She is also a member of the Centre for Artificial Intelligence: Social and Digital Innovation at Brunel University of London. Currently, Asieh serves as the Impact Lead at the Brunel Centre for AI, where she leads the capability area in the Future of Work. Asieh earned her PhD in Economics and Finance (2008) and MSc in International Money, Finance, and Investment (2015), both from 探花视频. She joined Brunel in 2020 after holding academic positions at Regent’s University London, where she also served as Director for the BSc Global Management (Finance Pathway). Prior to her academic career, she gained industry experience as a business analyst, further enriching her interdisciplinary approach to research and teaching.