Dr Dimitris Chiotis

Profile

Dr Dimitris Chiotis is a Lecturer in Mathematics at Queen Mary University of London, where he teaches within its transnational education partnership at Queen Mary School Hainan (QMSH). He is a Fellow of the Higher Education Academy and serves as Deputy Chair of the Subject Examination Board.

His educational scholarship explores technology-enhanced mathematics and STEM education, including tablet-based teaching, interactive video learning and gamification. He has presented his work in IEEE and QMUL TNE education conferences. He also supports educational scholarship within the School of Physical and Chemical Sciences as an organiser for the Centre for Education Research seminars and collaborative activities.

Before joining QMSH, Dimitris held positions as a Lecturer in Pure Mathematics and a Postdoctoral Fellow in Function Theory. His mathematical research focuses on analytic approximation of matrix-valued functions, with his most prominent work being the derivation of superoptimal analytic approximants using exterior products of Hilbert spaces.

Teaching

QHM5701 Linear Programming and Games

QHM6704 Algorithmic Graph Theory

QHE6705 Computability, Complexity and Algorithms

Research

Research Interests:

Educational research is focused on technology-enhanced mathematics and STEM learning in higher education. Tablet-based teaching, interactive videos and gamification are evaluated through student perceptions, participation and assessment performance. Similarities between Jupyter Notebook submissions are also investigated through the development of JBEval.

Mathematical research is centred on the analytic approximation of matrix-valued functions, particularly superoptimal analytic approximation. Superoptimal analytic approximants are derived using exterior products of Hilbert spaces, with methods developed for their construction.

Examples of research funding:

• President and Principal Fund, QMUL, £10,000 (2025)
  Role: Collaborator.
  Purpose: Further development and dissemination of JBEval, a tool identifying similarities between Jupyter Notebook submissions to support review of potential collusion.
• Heilbronn Grant, Heilbron Institute of Mathematical Sciences, £2,600 (2024)
  Role: Principal Investigator and main organiser.
  Purpose: Delivery of the Young Functional Analysts’ Workshop, Newcastle, supporting research exchange among PhD students and academics.
• LMS Conference Grant Scheme 8, London Mathematical Society, £2,500 (2023)
  Role: Principal Investigator and main organiser.
  Purpose: Organisation of the Young Functional Analysts’ Workshop 2024 at Newcastle.
• LMS Conference Grant, London Mathematical Society, £4,500 (2018)
  Role: Principal Investigator and main organiser.
  Purpose: Delivery of the Young Functional Analysts’ Workshop, Newcastle, supporting research exchange among PhD students and academics.

Publications

• D. Chiotis, Student perceptions of tablet teaching and learning in TNE settings, IEEE DEMOCON 2026. preprint
• D. Chiotis, E. Burcu, Design and Implementation of Interactive Videos in Undergraduate Transnational Education, IEEE DEMOCON 2026. preprint
• D. Chiotis, N. Viswanathan, M. Mazzamurro, Enhancing student performance and participation using gamification in TNE contexts, IEEE DEMOCON 2026.
• Alshammari, O. Benchiheb, D. Chiotis, A Metric Framework for Approximate Transitivity, Mixing, and Hypercyclicity. preprint
• Bajaj, D. Chiotis, et al., A Tool for Detecting Similarities in Jupyter Notebooks Used as Assessment Reports, IEEE Global Engineering Education Conference (EDUCON), London, UK, pp. 1–5.
• D. Chiotis, Z. A. Lykova, N. J. Young, Exterior products of operators and superoptimal analytic approximation, Transactions of the London Mathematical Society, 8(1).
• D. Chiotis, Z. A. Lykova, N. J. Young, Exterior powers and pointwise creation operators, Complex Analysis and Operator Theory, 15(29).
• D. Chiotis, Superoptimal analytic approximation and exterior products, PhD Thesis, Newcastle University.

Supervision

Main supervisor of Mr Yahya Aden for the MSc in Artificial Intelligence project titled “Multimodal Deep Learning for Early Prediction of Alzheimer’s Disease UsingMRI and Clinical Data”.

Second supervisor of Mr Ammar Aljohani, “On Exponentially Expansive Operators and Their Quasi Extensions in Hilbert Spaces”, Department of Mathematics, College of Science, Jouf University.

Scholarly Contributions

Research Gate Profile