MEng PhD Essex, PgCert, FHEA
Visualization, Data, Modelling and Graphics (VDMG) research group, Immersive Environments lab
Office: Room 326, Dean Street
My research interests revolve around he domain of human-computer interaction (HCI) and include mixed/augmented and virtual reality (XR), information visualization (InfoVis), visual analytics (VA) and wearable computing (WearComp). You can find more information below, in the research interests section.
I am particularly interested in potential synergies between these fields within different flavours of human-data interaction, such as beyond-the-desktop visualization and immersive analytics.
I am also working on how these domains make use of future digital communication systems, such as 5G, as a member of the DSP Centre of Excellence management team.
The above research topics can be explored in a variety of application domains, including Ocean Sciences, Environmental Sciences, Nuclear Sciences, Cultural Heritage, Learning and Education, Transport and Computer Games.
Immersive and Situated Analytics (IA/SA)
This theme explores the concept of immersive, multisensory, post-WIMP and often situated visualization and investigates how information visualization can employ different display and presentation technologies, such as head-mounted displays, projection systems, wearables, tabletop displays and haptic interfaces.
We are currently exploring a variety of technologies that could enable IA/SA in different scenarios. We are especially interested in using web technologies (e.g., WebVR/XR), such as in our IA-prtototyping VRIA framework.
Immersive Realities (XR)
The use of the term ‘XR’ in this context is akin to that of the W3C, denoting alternative immersive technologies (i.e., VR/MR/AR). This theme explores these concepts and their evolution from their original graphic-centric flavours, to today’s XR systems which can employ all our senses and offer us capabilities through services that are perceivable but not necessarily vision-specific. Cloud-based services, web-based machine learning, XR-enabling web technologies and the pervasiveness of wearable and mobile devices, contribute towards this paradigm shift, which is the focus of this theme. More ‘traditional’ VR research, such as our work on wheelchair training in VR and procedural content generation is also part of this domain.
Information Visualization (InfoVis)
Information visualization is the use of computer-supported interactive visual representations of abstract data to amplify cognition. In this theme we explore novel ways to represent data, focusing on domains such as environmental sciences, higher education, cyberecurity and cultural heritage. We are also devising new methodologies for ideation and evaluation of InfoVis interfaces.
In addition to my research and teaching activities, I actively contribute to the the scientific community, as a reviewer for grants, journals and international conferences, and by serving on various program committees of scientific events. As of 2020, I am a Full College Member of the EPSRC. I am also a member of the IEEE, the ACM and the Technical Chamber of Greece.
You can find more information about me on my personal page at pdritsos.com.
Research Officers (Post-docs)
Doctoral Students (current)
- Dan Farmer, Bangor University, Situated Analytics, (with Prof J.C. Roberts): 2021 - present
- Joseph Mearman, Bangor University, Information Visualization, (with Prof J.C. Roberts): 2019 - present
- Sion Curig Edwards, Bangor University, Affective Computing, (KESS), (Primary, with Dr D. Perkins): 2018 - present
Doctoral Students (completed)
Doctoral Committee Memberships
- Petra Pergar, Universiy of Lubljiana: 2021 - present
- Connor Spann, Bangor University, Scientific Visualization, (AIMLAC CDT): 2020 - present
- Vanessa Cassidy, Bangor University, Information Visualization, (AIMLAC CDT): 2019 - present
- James Jackson, Bangor University, Information Visualization, (KESS): 2019 - present
- Syed Kaleem Alsam, Bangor University, Natural Language Processing: 2019 - present
- Joshua Davies, Bangor University, Natural Language Processing: 2019 - present
Masters by Research
- Alex Rigby, Visual Analytics for Envionmental Sciences, (KESS), (with Dr Sopan Patil): 2020 - present