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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. UKIE

< Back Envisioning Distant Worlds: Fine-Tuning a Latent Diffusion Model with NASA's Exoplanet Data Link Author(s) M Beaty, T Broad Abstract More info TBA Link

< Back Visual Referential Games Further the Emergence of Disentangled Representations Link Author(s) K Denamganaï, S Missaoui, JA Walker Abstract More info TBA Link

< Back Action Selection in the Creative Systems Framework Link Author(s) S Linkola, C Guckelsberger, A Kantosalo Abstract More info TBA Link

< Back Efficient evolutionary methods for game agent optimisation: Model-based is best Link Author(s) SM Lucas, J Liu, I Bravi, RD Gaina, J Woodward, V Volz, D Perez-Liebana Abstract More info TBA Link

< Back Emotional exploration and the eudaimonic gameplay experience: A grounded theory Link Author(s) T Cole, M Gillies Abstract More info TBA Link

< Back Analysis of statistical forward planning methods in Pommerman Link Author(s) D Perez-Liebana, RD Gaina, O Drageset, E Ilhan, M Balla, SM Lucas Abstract More info TBA Link

< Back Connor Watts Queen Mary University of London iGGi PG Researcher Available for placement I am a machine learning research engineer and software developer with commercial experience deploying and maintaining models for start-ups and larger organizations. I have experience researching and developing novel algorithms, as well as designing custom environments for application in domains such as combinatorial optimization, finance and games. c.watts@qmul.ac.uk Email Mastodon Other links Website https://www.linkedin.com/in/connor-watts-363354232/ LinkedIn BlueSky https://ConnorWatts.github.io Github Supervisor: Dr Paulo Rauber Themes Game AI - Previous Next

Realistic physical interaction of 3D point cloud objects Theme Design and Development Project proposed & supervised by Miles Hansard, Changjae Oh To discuss whether this project could become your PhD proposal please email: miles.hansard@qmul.ac.uk < Back Realistic physical interaction of 3D point cloud objects Project proposal abstract: Point cloud data is becoming widely available, owing to commodity depth cameras and lidar systems. This creates many opportunities for creating 3D game assets, including environments and objects, from scanned real-world data. The realistic rendering of such data has been widely investigated (e.g. https://hal.inria.fr/hal-01017700/) , and can be performed efficiently. However, physical interactions between point clouds, meshes, and other representations are also critical, for gaming and VR applications. These interactions, which include collision, deformation, occlusion, and other effects, may require alternative representations (e.g. https://arxiv.org/abs/1912.12033) . This project will investigate geometric and machine learning approaches to these open problems, in typical game environments. Supervisor: Miles Hansard , Changjae Oh Based at:

< Back Autohighlight: Highlight Detection in League of Legends Esports Broadcasts via Crowd-Sourced Data Link Author(s) C Ringer, M Nicolaou, JA Walker Abstract More info TBA Link

< Back Towards human-robot gesture recognition using point-based medialness Link Author(s) FF Leymarie, P Aparajeya, D Berio 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. NATS