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< Back Towards an Ontology of Wargame Design Link Author(s) L Ouriques, CE Barbosa, J Kritz, G Xexéo Abstract More info TBA Link

< Back Dr Siamak Shahandashti University of York Supervisor Dr Siamak Shahandashti is a Lecturer (Assistant Professor) in Cyber Security Siamak has extensive experience in designing cryptographic solutions to enhance security and privacy for applications such as electronic voting, auctions, and biometric authentication systems. He has also worked on the security and privacy of password managers, IoT devices, mobile phone sensors, contactless payment, and paper fingerprinting. Siamak is interested in designing systems for improving security and privacy that are easy to use and accessible. He is working on designing usable password strength meters and human verifiable cryptographic codes. Siamak is a core member of the York Interdisciplinary Centre for Cyber Security and an expert fellow of the UK Network on Security, Privacy, Identity, and Trust in the Digital Economy (SPRITE+) He is a co-inventor on multiple patents including the first verifiable e-voting system trialled in the UK (patents US15582447, GB1607597) and paper fingerprinting (patent US15972922) with applications in banknote security. He led the design of the broadcast encryption deployed in millions of Thales’s Pay TV products worldwide. Siamak was part of teams who found vulnerabilities and fixed several systems, including the ISO/IEC11770-4 standard for password-based key exchange used in billions of devices, major mobile browser (Chrome, Firefox, Opera, Safari) sensor access policies, and Bitcoin's Payment Protocol used by 100k+ merchants. He is particularly interested in supervising students on the following topics: Using gamification to improve security and privacy in applications such as authentication and human verification Investigating and improving security and privacy in game environments Research themes: Gamification Games with a Purpose Game Security Game Privacy Game Analytics siamak.shahandashti@york.ac.uk Email Mastodon https://www.cs.york.ac.uk/~siamak Other links Website https://au.linkedin.com/in/siamakfs LinkedIn BlueSky Github Themes Applied Games - Previous Next

< Back Prof. David Beer University of York Supervisor Professor Beer has been researching new and digital media since completing his PhD in 2006. This has included work on social media, mobile devices and algorithms. Over the last decade he has developed work exploring the social implications of data and metrics. His work has explored how automated decision making is impacting upon social connections and has looked at how the data that accumulates about us shaped the way individuals are understood and judged. He has recently conducted a study of the data analytics industry and produced a report into online targeting. His research areas for supervision include: The social power of algorithms Data analytics The power of data and metrics Critical analyses of data visualization The metricisation of everyday life Social media and social media data Online targeting Data harvesting and inequality Research themes: Game AI Game Analytics Game Design Games with a Purpose Computational Creativity Gaming data Algorithms in gaming Gamification and the social world david.beer@york.ac.uk Email Mastodon https://davidbeer.net/ Other links Website LinkedIn BlueSky Github Themes Applied Games Creative Computing Game AI Game Data Player Research - Previous Next

< Back Dr Tony Stockman Queen Mary University of London Supervisor Dr Stockman is an interaction designer/researcher who investigates how technology can enhance accessibility and improve human performance. He is particularly interested in technology to support spatial cognition and wayfinding, health monitoring and improve performance levels in sport and music. This includes the role of games in simulating these domains and supporting skill acquisition and enhanced performance. He is a Board member and former president of the International Community for Auditory Display ( www.icad.org ). He has organised 6 international workshops on a range of HCI topics, and has been on the organising committee of 10 international HCI-related conferences. Topics on which he has recently published include participatory design and prototyping, auditory overviews for route guidance, self monitoring of biological signals and accessible collaborative working. He is particularly interested in supervising students with a Computer Science, Electrical Engineering, HCI, or behavioural sciences background on the following topics: Simulation to support accessibility and skill acquisition in team sports Intelligent audio mostly games to support learning Intelligent Audio or audio-haptic approaches to health monitoring and biofeedback Intelligent systems to support individual or collaborative music making Research themes: Intelligent simulation systems Interaction design for simulated sports Game Audio and Music Game Design Games with a Purpose t.stockman@qmul.ac.uk Email Mastodon Other links Website LinkedIn BlueSky Github Themes Applied Games Design & Development Esports Game AI Game Audio Player Research - Previous Next

< Back Dr Yongxin Yang Queen Mary University of London Supervisor Dr Yongxin Yang is a lecturer in financial technology at Queen Mary University of London, UK and he is also a part-time professor in finance at Southwestern University of Finance and Economics, China. His research is in the area of meta learning and its interactions with other machine learning paradigms like reinforcement learning. He has broad interests in applied machine learning, esp. for finance problems, for example, portfolio optimization and financial derivatives pricing. For the project of meta reinforcement learning, we want to explore the learning algorithms that can transfer an existing RL agent into a new task (e.g., a new game episode) with the minimal effort on retraining it. For the project of AI Economist, we are going to create a multi-agent system, where each agent behaves like a human being who will interacts with the environment and other agents (e.g., produce and trade), then we study how a certain policy (e.g., monetary and tax) affects the economy. yongxin.yang@qmul.ac.uk Email Mastodon https://yang.ac/ Other links Website LinkedIn BlueSky https://github.com/wOOL/ Github Themes Applied Games Game AI Game Data - Previous Next

< Back Dr Zoe Handley University of York Supervisor Zoe Handley is a Senior Lecturer (Associate Professor) in Language Education. She is an interdisciplinary researcher, with a background in language technology, who recognizes the value of quantitative as well as qualitative work in this area. Her earlier work focused on the evaluation of speech synthesis for use in language learning and teaching. Since then she has carried out a systematic review of evidence for the use of technology to support English language learning in primary and secondary schools and supervised a number of theses evaluating applications of technology for language learning. These have typically explored the use of web 2.0 and Computer-Mediated Communication (CMC) technologies. Further to this she is interested in how learners autonomously use technology to support their learning in contexts such as study abroad. Zoe is currently particularly interested in teacher thinking in relation to the integration of technology to support language learning and developing and evaluating training to support teachers in making decisions about what technologies to integrate into their teaching, for what purposes and how. Zoe welcomes applications from PhD students interested in designing and evaluating educational activities that harness the affordances of digital technologies to create conditions and engage learners in processes that are known to support language learning. zoe.handley@york.ac.uk Email https://sites.google.com/york.ac.uk/pivotal-group/about Mastodon https://www.york.ac.uk/education/our-staff/academic/zhandley/ Other links Website https://www.linkedin.com/in/zoe-handley-a730b58/ LinkedIn BlueSky Github Themes - Previous Next

< Back Dr Adrian Bors University of York Supervisor Adrian G. Bors is an Associate Professor at the University of York and has published more than 150 papers in international journals and conferences in the areas of his research interests. He is interested in supervising projects related to the application of novel artificial intelligence methods and computer vision in Game AI. One of the areas of interest is in the modelling of game characters (intelligent agent) continuously learning from their environments, able to transfer their knowledge from one stage to the next, while accumulating the information, like human/animal beings and enabling to continuously adapt to their environments. Another topic of interest is represented by conditional image and video generation for developing game environments. The conditional video/image generation will depend on certain factors that can be pre-established or be the result of self-learning by an (intelligent agent). Most existing games relying on no movement representation lack in representing realistic and continuous movement. In this direction of research, we will aim to generated video which would be consistent with realistic movement of game characters. Specific attention will be paid to modelling the interaction of the generated movement with the environment or other actors (game characters). In another direction of research, Adrian G. Bors will supervise projects in digital watermarking of 3D graphical characters. Codes will be invisible embedded and retrieved from the 3D graphics representations. The code embedded, like the DNA in human/animals, will enable the character to act in specific ways, defining behavioural traits in similarly looking graphics characters. adrian.bors@york.ac.uk Email https://www.researchgate.net/profile/Adrian-Bors Mastodon https://www-users.cs.york.ac.uk/adrian/ Other links Website https://www.linkedin.com/in/adrian-bors-32a3668/ LinkedIn BlueSky https://github.com/AdrianBors Github Themes Game AI - Previous Next

< Back Dr Pengcheng Liu Queen Mary University of London Supervisor Dr Pengcheng Liu is a Lecturer (Assistant Professor) at the Department of Computer Science, University of York, UK. He is an internationally leading expert in robotics, Artificial Intelligence and human-machine interaction. He has been leading and involving in several research projects, including EPSRC, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, HEIF, NHS I4I, NSFC, etc. Several of his research works were published on top-tier journals and leading conferences in the fields of robotics and AI. Before joining York, he has held several academic positions including a Senior Lecturer at Cardiff School of Technologies, Cardiff Metropolitan University, UK, a joint Research Fellowship at Lincoln Centre for Autonomous Systems (LCAS) and Lincoln Institute of Agri-Food Technology (LIAT), University of Lincoln, UK, a Research Assistant and a Teaching Assistant at Bournemouth University, UK. I also held academic positions as a Visiting Fellow at Institute of Automation, Chinese Academy of Sciences, China and Shanghai Jiao Tong University, China. Dr Liu is a Member of IEEE, IEEE Robotics and Automation Society (RAS), IEEE Systems, Man and Cybernetics Society (SMC), IEEE Control Systems Society (CSS) and IFAC. He is member of IEEE Technical Committees (TC) on Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. He has published over 60 journal and conference papers. Dr Liu serves as an Associate Editor for IEEE Access and PeerJ Computer Science. He received the Global Peer Review Awards from Web of Science in 2019, and the Outstanding Contribution Awards from Elsevier in 2017. He was selected as regular Fundings/Grants reviewer for EPSRC, NIHR and NSFC. Dr Liu’s research interest relevant to CDT IGGI include applied games for healthcare and rehabilitation applications, as well as using mixed reality and machine learning for human-machine interactions. He is particularly interested in supervising students with a design, HCI, computer science or behavioural sciences background on the following topics: applied games for healthcare and rehabilitation design for adaptive mixed reality system for physical therapy and neurological rehabilitation design for physical and cognitive behaviour change learning for human intention prediction analysis of mixed reality rehabilitation system with biological signals (EEG, sEMG) pengcheng.liu@york.ac.uk Email Mastodon https://sites.google.com/view/pliu Other links Website https://www.linkedin.com/in/pengcheng-liu-12703288/ LinkedIn BlueSky Github Themes Applied Games Game AI Immersive Technology - Previous Next

< 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

< Back Dr Agnieszka Lyons Queen Mary University of London Supervisor Agnieszka Lyons is a linguist and discourse analyst specialising in digitally mediated communication and multimodal communication, particularly across geographic distance. She explores the ways in which users of digital media construct their digitally mediated personae, particularly from the perspective of performance of the embodied selves, entering intersubjective spaces through verbal and non-verbal discourse and creating the feeling of physical and social presence across geographical distance. This can include multimedia sharing, avatar design, textual representation of nonverbal content, and others. She is particularly interested in supervising students with a communication, HCI, social and behavioural sciences background on the following topics: Player experience Player in-game interaction Construction of alternative personae Performance of player identities a.lyons@qmul.ac.uk Email Mastodon https://agnieszkalyons.wordpress.com/ Other links Website https://www.linkedin.com/in/agnieszka-lyons-3831592/ LinkedIn BlueSky Github Themes Player Research - Previous Next

< Back Dr Shanxin Yuan Queen Mary University of London Supervisor Dr Shanxin Yuan is a Lecturer in Digital Environment at Queen Mary University of London. He has rich expertise in deep learning, low level computer vision, and 3D digital modelling of humans from photographs. His PhD thesis focused on 3D hand pose estimation, his work is well recognized in the academia and is also deployed into commercially launched mass market mobile phones. His current research on digital humans focuses reconstructing, modelling, and rendering digital twins. He is interested in super-realistic immersive gaming, body/hand pose and facial expression retargeting, and behaviour analysis with avatars. For the new project in 2023, we are interested in working on human facial expression estimation, high-res realistic face reconstruction and rendering, face re-enactment, and face augmentation. The aim of the project is to build an editable super-realistic 3D human face model that can express novel expressions, views, shapes, and appearance, from multiple sources of input, such as images, sounds, and key points. The related techniques include deep learning, computer vision, natural language processing, and neural rendering. shanxin.yuan@qmul.ac.uk Email Mastodon https://shanxinyuan.github.io/ Other links Website https://www.linkedin.com/in/shanxin-yuan-4859b656/ LinkedIn BlueSky Github Themes Applied Games Creative Computing Game AI Immersive Technology Player Research - Previous Next

< Back Dr Luca Rossi Queen Mary University of London Supervisor Luca Rossi is a Lecturer in Artificial Intelligence at Queen Mary University of London. His research expertise lies in the areas of structural pattern recognition, machine learning, data and network science. Within the context of IGGI, he is interested in applying graph machine learning techniques, particularly graph neural networks, to the modelling and analysis of games. He is also interested in supervising projects related to behavioural analytics and privacy issues in online gaming. luca.rossi@qmul.ac.uk Email Mastodon https://blextar.github.io/luca-rossi/ Other links Website LinkedIn BlueSky Github Themes Game AI Game Data - Previous Next