Personal profile

Academic Biography

Chidimma (Chi) Opara earned her BTech degree in Mathematics and Computer Science in 2010 from the Federal University of Technology, Owerri, Nigeria, and an MSc in Networks and Information Security in 2015 from Kingston University, London. In 2023, she completed her PhD at Teesside University, Middlesbrough, United Kingdom, where she was granted a scholarship for doctoral research by the Petroleum Technology Development Fund.

During her PhD studies at Teesside University, Chi worked as a part-time lecturer from 2019 to 2021. Between 2021 and 2023, she served as a product manager at one of the top five banks in Canada. She then joined Teesside University as a full-time staff member in 2023. At Teesside University, Chi has taught a variety of modules within the computing program. In recent years, she has focused on teaching IT Ethics and Law and Data Analytics at the master’s level.

Chi holds professional memberships with the British Computer Society (MBCS) and is actively engaged in research, with several peer-reviewed publications in journals and conferences.

Summary of Research Interests

Chi is a committed researcher in the fields of Computer Science and Cybersecurity. Her research interests lie at the intersection of deep learning, web security, and cryptocurrency transactions. Her doctoral research established innovative methodologies in cybersecurity, particularly in phishing detection and cryptocurrency transaction analysis.

Current Research Interests:

  • Machine Learning in Cybersecurity:
    • Applying advanced machine learning models, including deep learning and neural networks, to cybersecurity challenges.
    • Developing algorithms and systems to bolster defences against new cyber threats.
  • Cryptocurrency and Blockchain Security:
    • Investigating transaction patterns in cryptocurrency networks to spot fraud and strengthen blockchain security.
    • Using statistical modelling and machine learning to detect irregularities and secure digital transactions.
  • Interdisciplinary Collaborations:
    • Engaging in cross-disciplinary projects to deepen the application of machine learning in cybersecurity.
    • Integrating insights from computer science, psychology, and social sciences for comprehensive cybersecurity approaches.

 

PhD and Research Opportunities

Chi is eager to mentor prospective PhD students interested in deep learning, web security, and cryptocurrency transactions. She is also keen on research in applying machine learning to various industries, including finance, business, and engineering.

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