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iGGi Partners We are excited to be collaborating with a number of industry partners. IGGI works with industry in some of the following ways: Student Industry Knowledge Transfer - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the student and their industry partner. Student Sponsorship - for some of our students, their relationship with their industry partner is reinforced by sponsorship from the company. This is an excellent demonstration of the strength of the commitment and the success of the collaborations. In Kind Contributions - IGGI industry partners can contribute by attending and/or featuring in our annual conference, offering their time to give talks and masterclasses for our students, or even taking part in our annual game jam! There are many ways for our industry partners to work with IGGI. If you are interested in becoming involved, please do contact us so we can discuss what might be suitable for you. York Mediale

< Back Oliver Withington Queen Mary University of London iGGi PG Researcher Available for post-PhD position Oliver Withington is a AI and games researcher working on novel methods for evaluating content generation systems for games. Following a successful career in the healthcare technology industry he decided to combine his life long love of games and interest in AI research into a PhD with the iGGi CDT in 2020. He lives in London with his wife and two young daughters, and when he is not writing about, thinking about, or talking about games you can probably find him in either his local bouldering gym, or in the park either pursuing or being pursued by two small children. A description of Oliver's research: Oliver's primary motivation is to make the evaluation of novel content generators more standardised, robust and straightforward for both researchers and game designers. Currently his focus is on techniques for producing informative visualisations of the output spaces of content generators. His work has been published at many of the leading conferences in his field, and he has also taken his work and ideas to the game industry, most recently in the form of a talk at GDC 2025's AI Summit. owithington@hotmail.co.uk Email Mastodon http://owithington.co.uk Other links Website https://www.linkedin.com/in/oliver-withington-909052bb/ LinkedIn BlueSky https://github.com/KrellFace Github Supervisors: Dr Jeremy Gow Dr Laurissa Tokarchuk Featured Publication(s): Exploring Minecraft Settlement Generators with Generative Shift Analysis HarmonyMapper: Generating Emotionally Divers Chord Progressions for Games. The Right Variety: Improving Expressive Range Analysis with Metric Selection Methods Visualising Generative Spaces Using Convolutional Neural Network Embeddings Compressing and Comparing the Generative Spaces of Procedural Content Generators Illuminating Super Mario Bros: quality-diversity within platformer level generation Themes Creative Computing Design & Development Game AI Previous Next

< Back PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games Link Author(s) M Balla, GEM Long, D Jeurissen, J Goodman, RD Gaina, ... Abstract More info TBA Link

< Back A case study in AI-assisted board game design Link Author(s) J Goodman, A Wallat, D Perez-Liebana, S Lucas Abstract More info TBA Link

< Back Theories, methodologies, and effects of affect-adaptive games: A systematic review Link Author(s) M Croissant, G Schofield, C McCall Abstract More info TBA Link

< Back Testing game mechanics in games with a purpose for NLP applications Link Author(s) C Madge, J Chamberlain, R Bartle, U Kruschwitz, M Poesio Abstract More info TBA Link

< Back Cameron Johnston Queen Mary University of London iGGi PG Researcher Available for placement Cam holds an MPhys in Theoretical Physics from the University of Edinburgh, wherein he combined infectious disease models with fluid dynamics to examine the validity of wastewater-based epidemiology as a method of passively monitoring the prevalence of COVID-19 in an urban population. During his studies, Cam began to learn game development as a way of improving his programming skills, using C++ and the Unreal Engine to develop a number of small projects and compete in game jams. After completing his MPhys, Cam was eager to take his experience developing physics simulations even further, which lead him to joining the iGGi programme. About Cam's Research: 'Impossible physical models' refer to digital models of any physics that differs from what would be experienced in everyday life. This covers 'incorrect' physics (disagreeing with observation but mathematically valid), and unfamiliar physics (that which is physically correct but irrelevant on a human scale). By creating interactive, virtual environments around these models, it becomes possible to experience the impossible. This research aims to explore the potential of 'impossible physical models' in the context of video games from the perspectives of game design and education. The project explores what work has already been done into this topic, expands on this work, and finds new areas to explore. The goal of this research is to introduce new relationships between physics and video games, and to engender developers to explore physics as a tool for design. cameron.johnston@qmul.ac.uk Email Mastodon http://crjohnston.com Other links Website https://www.linkedin.com/in/c-r-johnston/ LinkedIn BlueSky Github Supervisor: Dr Josh Reiss Themes Creative Computing Design & Development - Previous Next

< Back A discussion of the use of virtual reality for training healthcare practitioners to recognize child protection issues Link Author(s) O Drewett, G Hann, M Gillies, C Sher, S Delacroix, X Pan, T Collingwoode-Williams, ... Abstract More info TBA Link

< Back Why Oatmeal is Cheap: Kolmogorov Complexity and Procedural Generation Link Author(s) Y Rabii, M Cook Abstract More info TBA Link

< Back PAGAN for Character Believability Assessment Link Author(s) C Pacheco Abstract More info TBA Link

< Back Portfolio search and optimization for general strategy game-playing Link Author(s) A Dockhorn, J Hurtado-Grueso, D Jeurissen, L Xu, D Perez-Liebana Abstract More info TBA Link

iGGi Partners We are excited to be collaborating with a number of industry partners. IGGI works with industry in some of the following ways: Student Industry Knowledge Transfer - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the student and their industry partner. Student Sponsorship - for some of our students, their relationship with their industry partner is reinforced by sponsorship from the company. This is an excellent demonstration of the strength of the commitment and the success of the collaborations. In Kind Contributions - IGGI industry partners can contribute by attending and/or featuring in our annual conference, offering their time to give talks and masterclasses for our students, or even taking part in our annual game jam! There are many ways for our industry partners to work with IGGI. If you are interested in becoming involved, please do contact us so we can discuss what might be suitable for you. Meaning Machine