< Back From Code to Play: Benchmarking Program Search for Games Using Large Language Models Link Author(s) M Eberhardinger, J Goodman, A Dockhorn, D Perez-Liebana, RD Gaina, ... Abstract More info TBA Link

< Back Deep unsupervised multi-view detection of video game stream highlights Link Author(s) C Ringer, MA Nicolaou Abstract More info TBA Link

< Back Obstacle avoidance control law for two-wheeled mobile robots controlled by oscillators Link Author(s) K Denamganai, T Nakamura, N Hara, K Konishi Abstract More info TBA Link

< Back Playing with evolution Link Author(s) RD Gaina Abstract More info TBA Link

< Back Diversity maintenance using a population of repelling random-mutation hill climbers Link Author(s) R Volkovas, M Fairbank, D Perez-Liebana Abstract More info TBA Link

< Back Dr Oliver Withington Queen Mary University of London iGGi Alum 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. Email owithington@hotmail.co.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Supervisors: Dr Jeremy Gow Dr Laurissa Tokarchuk Featured Publication(s): Designer Difficulties: Visualizing the Possibility Spaces of Dynamic Difficulty Adjustment Systems Exploring the Possibility Space of 1 Billion Spells 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 https://www.youtube.com/watch?v=4m1gYriq_pc Previous Next

< Back Children and Young People's Involvement in Designing Applied Games: Scoping Review Link Author(s) MJ Saiger, S Deterding, L Gega Abstract More info TBA Link

< Back Prof. Damian Murphy University of York Supervisor Damian Murphy is Professor in Sound and Music Computing at the Department of Electronic Engineering AudioLab, University of York, where he has been a member of academic staff since 2000, and is the University Research Theme Champion for Creativity. He started his career in the Performing Arts Department at Harrogate College and has previously held positions at Leeds Metropolitan University and Bretton Hall College. His research focuses on virtual acoustics and he has published over 130 journal articles, conference papers and books in the area. He is a member of the Audio Engineering Society, a Fellow of the Higher Education Academy, and a visiting lecturer to the Department of Speech, Music and Hearing at KTH, Stockholm. Prof. Murphy is also an active sound artist and the Director of the £15m XRStories Creative Industries R&D Partnership exploring interactive and immersive storytelling for the UK’s creative and cultural sectors. He is interested in supervising students with interests in sound design, acoustics and audio signal processing and with a particular focus on: Interactive and immersive audio environments for real-time systems Room acoustics simulation and auralisation Assessment of immersive audio content for gameplay and competitive advantage Interactive/immersive audio storytelling Acoustic scene classification using spatial and spectral feature Audio for immersive environments. Research themes: Game AI Game Audio and Music Games with a Purpose Player Experience Email damian.murphy@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Creative Computing Game Audio Immersive Technology - Previous Next

< Back Reliving 10 years old: Descriptive Insights into Retro Gaming Link Author(s) N Ballou, N Bowman, T Hakman, AK Przybylski Abstract More info TBA Link

< Back Not Very Effective: Validity Issues of the Effectance in Games Scale Link Author(s) N Ballou, H Breitsohl, D Kao, K Gerling, S Deterding Abstract More info TBA Link

< Back VERTIGØ: visualisation of rolling horizon evolutionary algorithms in GVGAI Link Author(s) R Gaina, S Lucas, D Perez-Liebana Abstract More info TBA Link

< Back Playing nethack with llms: Potential & limitations as zero-shot agents Link Author(s) D Jeurissen, D Perez-Liebana, J Gow, D Cakmak, J Kwan Abstract More info TBA Link