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< Back Higher working memory capacity and distraction-resistance associated with strategy (not action) game playing in younger adults, but puzzle game playing in older adults Link Author(s) J Cutting, B Copeland, F McNab Abstract More info TBA Link

< Back - Meet me @ Develop:Brighton 2026 - 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. Cam joined iGGi in 2023 to explore the relationship between video games and physics. A description of Cam's research: The virtual worlds of video games naturally invite a chance to play with the laws of physics. While games regularly tweak their physics, the goal is often to create a simulation of a world that feels realistic and familiar to players. This research seeks to do the opposite: to create virtual worlds that accurately simulate laws of physics unlike our own. Email cameron.johnston@qmul.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Supervisors: Dr Josh Reiss Dr Andrew James Wood Themes Creative Computing Design & Development - Previous Next

< Back Evaluating generalisation in general video game playing Link Author(s) M Balla, SM Lucas, D Perez-Liebana Abstract More info TBA Link

< Back GeoPos: A Minimal Positional Encoding for Enhanced Fine-Grained Details in Image Synthesis Using Convolutional Neural Networks Link Author(s) M Hosseini, P Hosseini Abstract More info TBA Link

< Back Win or learn fast proximal policy optimisation Link Author(s) DS Ratcliffe, K Hofmann, S Devlin Abstract More info TBA Link

< Back Scaling Analysis of Creative Activity Traces via Fuzzy Linkography Link Author(s) A Smith, BR Anderson, JT Otto, I Karth, Y Sun, JJY Chung, M Roemmele, .. 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. Riot Games

< Back Dr Ignacio Castro Queen Mary University of London Supervisor Ignacio Castro is Lecturer in Data Analytics at Queen Mary University of London. His work sits at the intersection between economics and networks. His interest spans from online social networks and moderation to the macroscopic evolution of the Internet. He has been an investigator on three major grants that hold over £6 million in funding. His work appears in top tier journals and conferences including Web Conference, ACM SIGCOMM, ACM SIGMETRICS, ACM IMC, ICWSM, and IEEE/ACM Trans. on Networking. He is interested in supervising students with a background in social network analysis, NLP and/or machine learning. Email i.castro@qmul.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Applied Games Game AI Game Data Player Research - Previous Next

< Back General video game for 2 players: Framework and competition Link Author(s) RD Gaina, D Perez-Liebana, SM Lucas Abstract More info TBA Link

< Back Faking handedness: Individual differences in ability to fake handedness, social cognitions of the handedness of others, and a forensic application using Bayes’ theorem Link Author(s) A Flint, IC McManus, G Buckens, N Harris, HLA Ng, F Vovou Abstract More info TBA Link

< Back "Journeys in the Dark"-Towards Game Master AI in Complex Board Games Link Author(s) T Best, S Lucas, R Gaina Abstract More info TBA Link

< Back System and method for training a machine learning model Link Author(s) R Spick, G Moss, T Bradley, PV Amadori Abstract More info TBA Link