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< Back The @artbhot Text-To-Image Twitter Bot. Link Author(s) A Smith, S Colton Abstract More info TBA Link

< Back Evaluating virtual reality experiences through participant choices Link Author(s) M Murcia-López, T Collingwoode-Williams, W Steptoe, R Schwartz, ... Abstract More info TBA Link

< Back Rinascimento: Playing Splendor-Like Games With Event-Value Functions Link Author(s) I Bravi, S Lucas Abstract More info TBA Link

< Back The need for the human-centred explanation for ML-based clinical decision support systems Link Author(s) Y Jia, JA McDermid, N Hughes, MA Sujan, T Lawton, I Habli Abstract More info TBA Link

< Back Online-Trained Fitness Approximators for Real-World Game Balancing Link Author(s) M Morosan, R Poli Abstract More info TBA Link

iGGi @ Develop:Brighton iGGi is a collaboration between Uni of York + Queen Mary Uni of London: the largest training programme worldwide for doing a PhD in digital games. iGGi @ Develop:Brighton Talk to us at Develop:Brighton! >>> Stand B12 on the Expo floor Doruk Balcı Available for placement Design & Development, Player Research - iGGi Spotlight Video - Karl Clarke Available for placement Design & Development, Immersive Technology, Player Research Alex Flint Available for placement Design & Development, Player Research - iGGi Spotlight Video - Joshua Kritz Available for placement Game AI, Applied Games, Design & Development George Long Available for placement Game AI, Design & Development, Game Data Lauren Winter Design & Development, Player Research - iGGi Spotlight Video - Toby Best Available for post-PhD position Game AI, Design & Development, Player Research Tania Dales Available for placement Game AI, Design & Development, Immersive Technology, Player Research - iGGi Spotlight Video - Tamsin Isaac Applied Games, Design & Development, Player Research - iGGi Spotlight Video - Nicole Levermore Available for placement Design & Development, Immersive Technology, Accessibility, Player Research Philip Smith Available for placement Applied Games, Design & Development Steph Carter Available for post-PhD position Applied Games, Design & Development, Player Research, Accessibility, Game Data - iGGi Spotlight Video - Ross Fifield Available for post-PhD position Player Research Cameron Johnston Available for placement Design & Development, Creative Computing Océane Lissillour Available for placement Design & Development, Player Research Luiza Gossian Available for placement Applied Games, Design & Development

< Back Dr Patrik Huber University of York Supervisor Patrik Huber is a researcher, developer and entrepreneur, working on 3D face reconstruction and face analysis in images and videos using 3D face models. He is a Lecturer (Assistant Professor) in Computer Vision in the Department of Computer Science of the University of York, UK, and he’s the Founder of 4dface.io, a small start-up specialising in 3D face models and realistic 3D face avatars for professional applications. His research is focused on computer vision, in particular, he is interested in the question of how to robustly obtain a metrically accurate, pose-invariant 3D representation of a face from 2D images and videos. He is interested in face tracking, 3D face modelling, analysis and synthesis, metrically accurate 3D face shape reconstruction, inverse rendering, and combining deep learning with 3D face models. Patrik is particularly interested in supervising students with a strong background and interest in computer vision, machine learning, computer graphics, and modern C++/Python, on topics related to creating 3D face avatars of players for immersive playing and social experiences , and using face analytics for professional e-sports . Research themes: 3D face avatars for games AR/VR Serious games and social interaction Immersive 3D player experiences Game Analytics Games with a Purpose E-Sports Email patrik.huber@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Applied Games Esports Game Data Immersive Technology Player Research - Previous Next

< Back Computer aided design of handwriting trajectories with the kinematic theory of rapid human movements Link Author(s) D Berio, FF Leymarie, R Plamondon Abstract More info TBA Link

< Back Applied Games How might we design and use games to support health, learning, work, and conduct scientific research? Project areas include: Games for therapy and diagnosis, particularly in mental health Analysis of game behaviours for research into human psychology Games for understanding the impact of behaviours on the environment << Previous Theme page Next Theme page >> iGGi >>> People <<< relevant to this Theme: Michael Aichmüller iGGi Alum Game AI, Applied Games Read More Prof. Nick Bryan-Kinns Supervisor Applied Games, Creative Computing, Game Audio, Player Research Read More Dr Ignacio Castro Supervisor Game AI, Applied Games, Player Research, Game Data Read More Dr Joe Cutting iGGi Alum + Supervisor Player Research, Applied Games, Design & Development Read More Nirit Binyamini Ben Meir iGGi PG Researcher Available for post-PhD position Applied Games, Design & Development, Creative Computing Read More Prof. Paul Cairns Supervisor Applied Games, Player Research, Accessibility, Game Data Read More Dr Tara Collingwoode-Williams iGGi Alum Player Research, Applied Games Read More Rory Davidson iGGi PG Researcher Available for post-PhD position Player Research, Applied Games, Design & Development Read More Dr Anna Bramwell-Dicks Supervisor Game Audio, Player Research, Design & Development, Applied Games, Accessibility Read More Steph Carter iGGi PG Researcher Available for post-PhD position Applied Games, Design & Development, Player Research, Accessibility, Game Data Read More Prof. Peter Cowling Supervisor Game AI, Applied Games, Design & Development Read More Dr Alena Denisova Supervisor Applied Games, Player Research, Design & Development Read More Load More iGGi People working in this Theme iGGi >>> Publications <<< relevant to this Theme: POD/Post-anthropocentric design: World Oceans Day 2022 D Barrios-O'Neill, C Jarvis, N Binyamini Ben Meir, C Ramirez-Figueroa Nirit Binyamini Ben Meir View Details Beyond the Spotlight: Co-Designing AI for Theatre Audience Communication A Pedrassoli Chitayat, S Carter, BA Robertson, J Hook Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems Dr Alan Pedrassoli Chitayat Steph Carter View Details Post-anthropocentric design lab (PADLab). D Barrios-O'Neill, M Pauzner, O Kutok, O Stadnuk, N Binyamini Ben Meir, ... Nirit Binyamini Ben Meir View Details Exploring the player experience of people with persistent low mood L Helsby University of York, 2025 Dr Laura Helsby View Details "SAM"-School Attachment Monitor for the Assessment of Attachment in Children aged 4-8 MJ Saiger, Y Aleid, H Minnis, A Vinciarelli, S Brewster Proceedings of the 24th Interaction Design and Children, 752-756, 2025 Dr Michael Saiger View Details Domestic Cultures of Plant Care: A Moss Terrarium Probe N. Binyamini Ben-Meir, P.G.T. Healey, S. Deterding Designing Interactive Systems Conference (DIS '25), 05-09 July 2025, Funchal, Portugal. ACM, New York, NY, USA 19 Pages Nirit Binyamini Ben Meir View Details Load More iGGi Publications for this Theme Previous Next

< Back Heterogeneous graph neural networks for species distribution modeling Link Author(s) L Harrell, C Kaeser-Chen, BK Ayan, K Anderson, M Conserva, E Kleeman, ... Abstract More info TBA Link

< Back Dr Adam Katona University of York iGGi Alum Adam did his MSc in mechatronics at Budapest University of Technology and Economics. After graduation, he spent two years working on automated driving at Robert Bosch GmbH, during which he got exposed to both the classical and the machine learning approach of creating intelligent agents. Evolutionary computation continues to surprise us by producing creative and efficient designs. However despite our best efforts, artificial evolution had not produced anything ascomplex and interesting as natural evolution. As our hardware is becoming faster and number of cores in our chips increase, the lack of computational power is becoming less of an excuse. It is starting to become more and more obvious that some fundamental component of natural evolution is missing from our simulations. One possible candidate is the evolution of evolvability. Evolution seems to produce organisms which are well suited for further evolution. The goal of my research is to find mechanisms which allows evolution to increase evolvability, and incorporate these in the design of more efficient neuroevolution algorithms.This research is in the intersection of evolutionary computation, evolutionary developmental biology and neural networks. Email mail.adamkatona@gmail.com Website LinkedIn Mastodon BlueSky GitHub Other Link Featured Publication(s): Complex computation from developmental priors Utilizing the Untapped Potential of Indirect Encoding for Neural Networks with Meta Learning Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring Growing 3d artefacts and functional machines with neural cellular automata Time to die: Death prediction in dota 2 using deep learning Themes Game AI - Previous Next

< Back The Multi-Agent Reinforcement Learning in Malm\" O (MARL\" O) Competition Link Author(s) Diego Perez-Liebana, Katja Hofmann, Sharada Prasanna Mohanty, Noburu Kuno, Andre Kramer, Sam Devlin, Raluca D Gaina, Daniel Ionita Abstract More info TBA Link