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< Back Dr Changjae Oh Queen Mary University of London Supervisor Changjae Oh joined Queen Mary University of London (QMUL) in September 2019 as a Lecturer at the School of Electrical Engineering and Computer Science (EECS). He was a postdoctoral researcher at QMUL EECS from 2018 to 2019. He received a PhD in Electrical and Electronic Engineering in 2018 at Yonsei University, South Korea. His research expertise spans a range of researches that are based on visual signals, such as image processing, computer vision, and vision-based machine perception, combined with machine/deep learning. Within the topics with IGGI, he is particularly interested in students who want to investigate the topics about vision-based AI perception in a game environment and game engines for real-robot perception. c.oh@qmul.ac.uk Email Mastodon https://eecs.qmul.ac.uk/~coh/ Other links Website https://www.linkedin.com/in/changjae-oh-42a36685 LinkedIn BlueSky Github Themes Applied Games Game AI - 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 Designing Personas for Expressive Robots: Personality in the New Breed of Moving, Speaking, and Colorful Social Home Robots Link Author(s) S Whittaker, Y Rogers, E Petrovskaya, H Zhuang 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. New Moon Studios

< Back The Sky's the Limit: Relightable Outdoor Scenes via a Sky-Pixel Constrained Illumination Prior and Outside-In Visibility Link Author(s) JAD Gardner, E Kashin, B Egger, WAP Smith Abstract More info TBA Link

< Back Investing in AI for social good: an analysis of European national strategies Link Author(s) F Foffano, T Scantamburlo, A Cortés Abstract More info TBA Link

< Back Embodied, in-medium design of VR game motion controls using interactive supervised learning Link Author(s) C Gonzalez Diaz Abstract More info TBA Link

< Back Learning local forward models on unforgiving games Link Author(s) A Dockhorn, SM Lucas, V Volz, I Bravi, RD Gaina, D Perez-Liebana Abstract More info TBA Link

< Back Yu-Jhen Hsu Queen Mary University of London iGGi PG Researcher I have always been interested in automation specifically within strategy games, starting from civilization 5. I have a background in Artificial Intelligence with a Master of Science degree from Queen Mary, University of London, with a focus on Game AI, Computer Vision and Machine Learning/Deep Learning. My research interests involve Game AI improvement in real-time turned-based games with the help of data science techniques. A description of Yu-Jhen's research: This project has two goals. Firstly, to improve the performance of MCTS (Monte Carlo Search Tree) implementation. Secondly, the goal is focused on building an AI agent that is able to win the game but also provide feedback information/data about it’s decisions to the players and designers. In order to achieve the goal, the plan of the project is to use different data science skills to enable the game AI agent to understand the utility of different actions and decrease the time needed for making decisions. The data collected can also help the game AI agent explain it’s behaviors, hence provided useful information/data for its users and designers. y.hsu@qmul.ac.uk Email Mastodon Other links Website https://www.linkedin.com/in/yujhenhsu/ LinkedIn BlueSky Github Supervisors: Dr Diego Pérez-Liébana Dr Raluca Gaina Featured Publication(s): Why Choose You?-Exploring Attitudes Towards Starter Pokémon Tribes: a new turn-based strategy game for AI research MCTS Pruning in Turn-Based Strategy Games. Themes Game AI Game Data - Previous Next

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. Northeastern University

< Back A generalized framework for self-play training Link Author(s) D Hernandez, K Denamganaï, Y Gao, P York, S Devlin, S Samothrakis, ... Abstract More info TBA Link

< Back Dr Gaetano Dimita Queen Mary University of London Supervisor Gaetano Dimita is a senior lecturer in International Intellectual Property Law working on Games and Interactive Entertainment Law, Regulations, Transactions and esports law. He is the Director of the Institute for Interactive Entertainment Law and Policy, the founder and editor-in-chief of the Interactive Entertainment Law Review, Edward Elgar, and the organiser of the ‘More Than Just a Game’ conference series. Gaetano is also the Deputy Director of the Queen Mary Intellectual Property Institute (QMIPRI), The Director of eLearning, CCLS, the Deputy Director of Education, CCLS, and the Director of the LLM in Intellectual Property Law. Outside of Queen Mary, he serves as Executive Committee member of the British Literary and Artistic Copyright Association, the UK national group of the Association Litteraire et Artistique Internationale; as Board Member of the National Video Game Museum; as member of the British Copyright Council - Copyright and Technology Working Group; as member of the UK IPO Copyright Advisory Council, member of the UK Department for International Trade’s Intellectual Property Expert Trade Advisory Group (IP ETGA). He is also a member of Italian Bar Association (Rome), the Video Game Bar Association, the Fair Play Alliance, and the Higher Education Video Game Association. He is particularly interested in supervising interdisciplinary research on games and interactive entertainment law and regulation. Research themes: Game AI Games with a Purpose Computational Creativity E-Sports Player Experience g.dimita@qmul.ac.uk Email Mastodon https://www.qmul.ac.uk/law/people/academic-staff/items/dimita.html Other links Website https://www.linkedin.com/in/gaetano-dimita-06484544/?originalSubdomain=uk LinkedIn BlueSky Github Themes Applied Games Creative Computing Esports Game AI Player Research - Previous Next