Dr Dimitris Kalogiros
Contact details
About
Overview
Dimitris is the incoming Programme Director for the Foundation Programme. His education leadership interests include Foundation-level teaching, student transition and support, learner engagement analytics, assessment design, academic integrity, AI and data science education, mentoring, and programme-level educational development.
He has experience in student experience leadership, academic advice, curriculum development in data science, machine learning and AI, and evidence-informed approaches to enhancing student learning, progression and confidence. Before joining City St George’s, he was Director of Student Experience for Digital and Technology Solutions Professionals, Academic Advice Champion and led work on Learner Engagement Analytics, focusing on how engagement data can support personalised learning, student progression and educational enhancement.
Dimitris is based in the Department of Mathematics at the School of Science and Technology at City St George's University. He is an Applied Mathematician, i.e. a «storyteller» with «a passion for learning» in Biology, Medicine, Ecology, Epidemiology, Engineering and Finance. He is also a Fellow of the Higher Education Academy (Advance HE) and a Mental Health First Aider (MHFA England).
Before joining City St George's he was a Lecturer in Data Science at Queen Mary University of London and London City Institute of Technology, actively involved in launching new modules in Data Science, Machine Learning and AI at different levels including Foundation programmes.
He was also the Director of Student Experience for the Digital and Technology Solutions Professionals (DA) and Academic Advice Champion. He led the Machine Learning and Data Science Summer School while teaching various modules on Mathematics and Programming aimed at undergraduate as well as postgraduate students along with multiple initiatives on Mathematics and Data Science across the university while supervising students in their projects and dissertations.
Dimitris works at the interface of modelling and data. He loves teaching, i.e. learning and communicating within the university community (universus = all in one, all together). His aim is to empower students to demystify the world of data by setting them free of the fear of mathematics and programming, while using himself as a bridge for them so that they are inspired to immerse themselves into the art of mathematics and data science.
Dimitris really values student support and development, supervision, teaching and mentoring and this is why he takes every opportunity to contribute to student development by applying a well-rounded approach and empowering students to grow, progress and develop professionally through their studies in a higher education institution.
He also loves offering one-to-one careers advice, support and valuable insights helping them broaden their career horizons.
He is really interested in interdisciplinary research and different approaches to teaching mathematics and data science as well as in public engagement projects aimed at students and the general public.
Dimitris was awarded an MEng in Applied Mathematics and Physics from the University of Technology (NTUA) in Athens (Greece) before receiving an MSc in Applied Mathematical Sciences with Biological and Ecological Modelling (with distinction) from Heriot-Watt University in Edinburgh (Scotland, UK). During his studies, he immersed himself in a broad range of topics in the areas of mathematical modelling including mathematical ecology, mathematical biology and medicine, dynamical systems, applied linear algebra, numerical analysis, regression analysis, linear models and designs, computer science along with their applications in physics and engineering.
In late 2012, he joined the University of Dundee, The James Hutton Institute in the UK and Université Catholique de Louvain (UCLouvain) in Belgium to undertake his PhD research in mathematical modelling of plant root systems funded by the European Union forming part of the big EURoot project, when he had the opportunity to work together with ecologists, agronomists, biologists, computer scientists and modellers across 20 research institutes and universities in Europe including Forschungszentrum Jülich (Jülich Research Centre) in Germany as well as ETH in Switzerland, CIRAD (the French agricultural research and cooperation organization working for the sustainable development of tropical and Mediterranean regions) and INRA (French National Institute for Agricultural Research) in France.
After completing his PhD, he continued his studies towards the PG Cert in Teaching and Academic Practice in Higher Education at the Centre for the Enhancement of Academic Skills, Teaching, Learning and Employability at the University of Dundee. In late 2017, he joined the Centre for Mathematical Medicine and Biology at the School of Mathematical Sciences at the University of Nottingham as a Research Fellow in Mathematical Biology. Before joining the School of Physical and Chemical Sciences at Queen Mary University of London, he was a Senior Research Associate in Mathematical Epidemiology at the Bristol Population Health Science Institute at Bristol Medical School and a Teaching Fellow at the School of Mathematical Sciences at Queen Mary University of London.
Dimitris is also interested in development and application of novel mathematical and computational methods in a range of biological, ecological and engineering problems. His research interests and skills focus on innovative mathematical techniques, model parameterisation, model sensitivity analysis, numerical analysis as well as building up integrated pipelines for combining data and mathematical models.
Throughout these years, he has been preparing and delivering lectures, tutorials, lab workshops and seminars on a wide range of undergraduate and postgraduate mathematics courses and he has also been involved in assessment and examination papers. He has been responsible for the supervision of undergraduate and postgraduate students from a wide range of Schools (School of Mathematical Sciences, School of Science and Engineering, School of Life Sciences, School of Education, School of Biosciences, Centre for Geomechanics and Duncan of Jordanstone College of Art and Design) building upon his rich variety of teaching experience from different academic contexts and distilling the best from each of these institutions.
More information can be found on his profile.
Publications
Featured publications
- Alatawi, A., Burcu, E., Kalogiros, D. and Carrión, J.R. (2025). Interactive Visual Learning in Machine Learning: A Cognitive Learning Theories-Driven Approach. 2025 IEEE Global Engineering Education Conference (EDUCON) pp. 1-10. doi:10.1109/educon62633.2025.11016355
- Vural, Z., Avery, A., Kalogiros, D.I., Coneyworth, L.J. and Welham, S.J.M. (2020). Trace Mineral Intake and Deficiencies in Older Adults Living in the Community and Institutions: A Systematic Review. Nutrients, 12(4), pp. 1072-1072. doi:10.3390/nu12041072
- Kalogiros, D.I., Russell, M.J., Bonneuil, W.V., Frattolin, J., Watson, D., Moore, J.E.... Brook, B.S. (2019). An Integrated Pipeline for Combining in vitro Data and Mathematical Models Using a Bayesian Parameter Inference Approach to Characterize Spatio-temporal Chemokine Gradient Formation. Frontiers in Immunology, 10. doi:10.3389/fimmu.2019.01986
- Canto, C.D.L.F., Kalogiros, D.I., Ptashnyk, M., George, T.S., Waugh, R., Bengough, A.G.... Dupuy, L.X. (2018). Morphological and genetic characterisation of the root system architecture of selected barley recombinant chromosome substitution lines using an integrated phenotyping approach. Journal of Theoretical Biology, 447, pp. 84-97. doi:10.1016/j.jtbi.2018.03.020
- Kalogiros, D.I., Adu, M.O., White, P.J., Broadley, M.R., Draye, X., Ptashnyk, M.... Dupuy, L.X. (2016). Analysis of root growth from a phenotyping data set using a density-based model. Journal of Experimental Botany, 67(4), pp. 1045-1058. doi:10.1093/jxb/erv573