I am Dr. Rebecca Jeyavadhanam Balasundaram, a Lecturer in Computer Science/Data Science at York St John University, London Campus. I specialise in Machine Learning, Big Data Analytics, and Artificial Intelligence, with extensive experience in higher education teaching, research, and academic leadership. I hold a PhD in Machine Learning, along with postgraduate qualifications in Computer Science and Education.
My academic interests lie in the application of AI and data analytics to real-world challenges, particularly in medical image processing, predictive modelling, and emerging technologies such as Metaverse-based and immersive learning environments. I have strong expertise in Machine Learning, Deep Learning, and data analysis, with a focus on developing innovative and impactful solutions.
In my current role, I serve as Module Director for Machine Learning and Big Data, as well as a Dissertation and Postgraduate Research Supervisor, supporting student learning and research development.
I lead the MetaLearn AI Innovators Research Group at York St John University and actively contribute to interdisciplinary research through national and international collaborations. My work integrates teaching, research, and innovation to support student learning and advance knowledge in data-driven technologies.
I teach postgraduate (Level 7) modules in Machine Learning and Big Data, supporting a diverse cohort of international students from varied academic and professional backgrounds. My teaching approach emphasises inclusive, student-centred, and practice-oriented learning, enabling students to develop strong analytical, computational, and problem-solving skills.
Key contributions:
- Curriculum design and module leadership aligned with current AI and data science developments
- Dissertation and postgraduate research supervision supporting high-quality student outcomes
- Application of innovative pedagogies, including research-informed and immersive learning approaches
As a Module Director, I lead the design, delivery, and continuous enhancement of modules. I also supervise postgraduate dissertations, guiding students through the research process and supporting them in producing impactful work.
I am committed to research-informed teaching and continuous innovation to enhance student engagement and learning outcomes.
With a decade of dedicated research experience, I have made substantial contributions to peer-reviewed journals, both at the international and national levels. Additionally, I have presented my work at conferences worldwide and authored chapters in esteemed books.
I have filed five patents for my original research, featuring novel and innovative solutions, with one successfully granted at the national level.
I have created opportunities for my students as researchers through SAAR projects and successfully secured in-house project funding from the Quality Research Funding at York St John University in 2023.
Recent publications
My Professional Qualifications and Development:
- Fellowship of the Higher Education Academy (FHEA, D2 Experiential Route)
- Level 7 Postgraduate Diploma in Education and Training (PDET)
- Certified Master Class in Data Science and AI Innovations, enhancing expertise in advanced AI and data science methodologies
