- Data Analytics,
- Human Computer Interaction,
- Cognitive Modelling,
- Usability / User Experience,
- VR Training
Dr Markos Kyritsis spent several years working in the tech industry before migrating to academia in 2009. Since then, he’s worked in small and large departments in Greece and the Middle East, before finally moving to Henley Business School's BISA department.
Dr Markos Kyritsis is an interdisciplinary researcher and data scientist with a diverse publication history in the areas of cognition, computing, and business.
He is a member of several research teams both inside and outside the UK, who are currently engaging or have engaged in studies involving: cognitive modelling; eye tracking; virtual reality; entrepreneurial intention; and predictive analytics in a medical setting.
His research interests include: modelling human performance in Euclidean optimization problems; usability / user experience research (particularly in 3D environments); virtual reality training; and gamification of psychometric/behavioural tests.
Technology Advisory Practices
This module develops the students’ ability to address complex business problems involving the use of technology and formulate recommendations. As a part of the module students will have the opportunity...
Module Convenor and Lecturer for MM398 – Technology Advising Practices
Module Convenor and Lecturer for INMR95 - Business Data Analytics (MSc)
Dr. Kyritsis is a member of several research teams spanning a fairly wide range of disciplines. He spends most of his time investigating and modelling human behaviour in Euclidean optimisation problems such as the Travelling Salesperson Problem, which in turn results in the creation of heuristics that can support firms engaged in pickup and delivery problems. Current research engagements involve: investigating spatial judgement tasks in optimisation problems; investigating entrepreneurial orientation in emerging markets; and evaluating inexpensive eye tracking devices for usability studies.
The Joint Academic Board approved the award of £12,165 to support the project: Can digital records determine disease phenotypes of diabetes kidney disease in the chronic and acute setting to influence service development to prevent admissions?
Co-investigator alongside Dr Weizi Li, focusing on the data analytics of the project.
- Data Analytics
- Human Computer Interaction
- Cognitive Modelling
- Usability / User Experience
- VR Training