Jason Armitage is a Researcher in the Department of Computational Linguistics at the University of Zurich, specializing in multimodal machine learning and embodied AI within the Language, Technology, and Accessibility team. His work bridges virtual environments, accessibility technologies, and cross-modal reasoning. His academic background includes: Cognition and Computation from University of London, Birkbeck Data Science from University of Stirling Machine Learning studies at UC San Diego Armitage's research centers on aligning visual and linguistic inputs for embodied AI systems, with current projects enhancing scientific data accessibility through cross-modal formats and applying nonlinear time series modeling to 3D scene editing. His methodology integrates multimodal fusion techniques with embodied cognition principles to develop more intuitive human-AI interactions. Publications from 2020-2025 reveal consistent advancement in multimodal learning frameworks, particularly in vision-language navigation systems and multilingual multimodal benchmarks. Key innovations include trajectory planning algorithms using feature-location cues and novel architectures for multitask learning across diverse language-modalities. Professional experience spans research at the University of Bonn and industry roles at BBC and Disney, where he developed digital video services, games, and mobile applications. He actively contributes to the Language, Technology, and Accessibility team's mission of creating inclusive technological solutions through computational linguistics.
Shannon Bredin serves as Associate Professor in the School of Kinesiology at the University of British Columbia, actively contributing to the Centre for Early Childhood Education & Research (CECER) within the Faculty of Education. Her academic focus centers on motor development and physical activity promotion across diverse populations, from early childhood settings to elite athletic contexts. Research Expertise: Motor Skill Development in Early Childhood Physical Activity Assessment Tools (PAR-Q+/ePARmed-X+) Grassroots Sport Development Frameworks Indigenous Perspectives on Wellness and Movement Health Promotion for Chronic Disease Prevention Perceptual-Cognitive Training in Youth Sports Analysis of her 2023-2025 publications reveals three dominant research trajectories: (1) refinement of physical activity screening protocols for clinical and community use, (2) culturally responsive approaches to physical literacy in Indigenous communities, and (3) biomechanical and psychological factors in youth sports performance. Her work bridges theoretical exercise science with practical public health applications, emphasizing knowledge translation for practitioners. Scientific Recognition: No formal awards documented in source materials Academic Leadership: While specific student mentorship details are unavailable, her involvement in major initiatives like the ACCELERATION Program and PAR-Q+ development indicates significant supervisory responsibilities. Current grant activity cannot be confirmed from provided texts but is implied through ongoing publication output. Research Environment: Dr. Bredin operates within UBC's Centre for Early Childhood Education & Research, facilitating interdisciplinary collaborations between kinesiology, education, and Indigenous health scholars. Her work with community-based programs suggests strong ties to British Columbia's public health infrastructure and sport organizations.
James Sanders is an Associate Professor in the Faculty of Health Sciences at the University of Lethbridge. A registered psychologist (RPsych) with a PhD, his work focuses on psychological assessment, diagnosis, and prevention of various conditions with particular expertise in fetal alcohol spectrum disorder (FASD), behavioral addictions, and developmental disorders. Dr. Sanders' research interests span several interconnected domains including fetal alcohol spectrum disorder (FASD) , behavioral addictions (particularly video game and gambling disorders), developmental disorders , and the Diagnostic and Statistical Manual of Mental Disorders (DSM) . His work examines both diagnostic criteria and prevention strategies, with recent publications focusing on early screening for prenatal alcohol exposure, the relationship between video gaming and gambling behaviors, and the impact of adverse childhood experiences on adult behaviors. Analysis of his recent publications reveals a strong focus on methodological approaches to understanding behavioral addictions and neurodevelopmental disorders. His research employs diverse methodologies including national surveys, validity studies of diagnostic criteria, and mixed-methods approaches to understanding workplace gambling behaviors. A recurring theme across his work is the examination of risk factors and early intervention opportunities, particularly regarding FASD prevention and behavioral addiction identification. Dr. Sanders maintains an active research program with numerous collaborators across Canadian institutions, particularly with colleagues at the University of Alberta and other researchers in the field of addiction and developmental psychology. His work bridges clinical practice with research, contributing to both theoretical understanding and practical applications in psychological assessment and diagnosis.
Anyi Rao is an Assistant Professor at the Hong Kong University of Science and Technology (HKUST) where he leads the Multimedia Creativity Lab (MMLab@HKUST) and serves as Associate Director of the HKUST Media Intelligence Research Center. He received his Ph.D. from the Chinese University of Hong Kong and completed postdoctoral research at Stanford University. His research explores human-AI collaboration for creativity, focusing on understanding, editing, and creating art, media, and film. Research Interests: Rao's work centers on developing AI tools that enhance human creativity in visual media production. Key areas include: Controllable generative models for image and video synthesis AI-assisted cinematography and virtual production tools Multimodal understanding of films and creative content Human-AI collaborative workflows for artistic creation His research has produced influential tools like ControlNet and AnimateDiff used by industry leaders including Netflix and Amazon. Publication Trends: Rao's recent publications demonstrate a strong focus on diffusion models, controllable generation, and video understanding systems. His work consistently bridges technical innovation with practical applications in media production, showing increasing emphasis on real-time creative tools and filmmaker-AI collaboration paradigms. Awards and Honors: Forbes 30 Under 30 Asia (2025) Rising Star Award, World AI Conference (2024) Marr Prize (Best Paper), ICCV (2023) Magic Grant, Brown Institute for Media Innovation (2023) Hong Kong PhD Fellowship (2021) Academic Activities: Rao actively recruits students for his research group and has secured multiple grants including Amazon Video Research Fund and Tencent Rhino-Bird Grant. He organized the SIGGRAPH/CVPR Creative Visual Content Workshops and curated the Hong Kong AI Film Festival. He serves on program committees for major conferences including CVPR, ICLR, and SIGGRAPH Asia.
Vikranth Rao Bejjanki is an Associate Professor of Psychology at Hamilton College. His research focuses on the neural and computational mechanisms underlying human learning, employing methods such as psychophysics, computational modeling, and functional neuroimaging. He is affiliated with the Princeton Neuroscience Institute as a former postdoctoral researcher and maintains memberships in the Society for Neuroscience, Vision Sciences Society, Sigma Xi Scientific Honor Society, and the American Association for the Advancement of Science. Ph.D. in Brain and Cognitive Sciences, University of Rochester M.A. in Brain and Cognitive Sciences, University of Rochester B.A. in Cognitive Science, State University of New York at Buffalo B.S. in Computer Engineering, State University of New York at Buffalo Bejjanki’s research explores how humans learn from experiences through probabilistic inference, cue integration, and neural plasticity. His work bridges experimental psychology with computational models to understand visual perception, spatial localization, and the impact of video game training on cognitive adaptability. He has contributed to journals like Nature Neuroscience , Proceedings of the National Academy of Sciences , and PLoS Computational Biology , often integrating neuroimaging and behavioral analysis to decode learning mechanisms. His publications highlight interdisciplinary themes, merging neuroscience with artificial intelligence, cognitive modeling, and sensory processing. Key trends include the role of noise correlations in brain pattern classification, the development of perceptual templates through video games, and the application of Bayesian inference to spatial tasks. Scientific Awards & Affiliations: Sigma Xi Scientific Honor Society Society for Neuroscience Vision Sciences Society American Association for the Advancement of Science Bejjanki has taught courses such as Fundamentals of Human Neuroscience and Psychology and Neuroscience of Learning , reflecting his expertise in cognitive systems and neural mechanisms of learning. While his student advising record is not explicitly detailed, his collaborative research with institutions like Princeton underscores his commitment to advancing neuroscience through both theoretical and empirical approaches.
Prof. Dr. Alexander Marbach is a Professor in the Creative Content Design department at the Faculty of Media, Mittweida University of Applied Sciences. He teaches courses in game development, virtual production, and interactive media design, and has led "beta," Germany's largest game development project in higher education, since 2013. His research focuses on the intersection of creative technologies and artificial intelligence. Key areas include: Realtime Graphics & Interaction : motion capture, virtual production, and game development. Applied AI in Computer Graphics : procedural content generation, image/video synthesis, and automated 3D environment creation. Assessment and Media Didactics : automated assessment methods and intelligent tutoring systems for digital education. VFX Production : leveraging AI techniques (e.g., Video2Video, NeRFs, Gaussian Splatting) for visual effects. Prof. Marbach is a founding member of "Games&XR Mitteldeutschland eV" and the "RAL Gütegemeinschaft Serious Games". He serves on expert committees for the German Computer Game Award and the R42 Mentoring Program, and provides academic advisory services to external universities.
Prof. Dr. Klaus Stiller is a researcher and lecturer at the Institute of Educational Science within the Faculty of Humanities at the University of Regensburg, Germany. He has been affiliated with the Chair of Pedagogy I since 2013, following previous positions at the University of Regensburg's Chair of Psychology IV (1996-2013) and the Dortmund Technical University's Chair of Educational Psychology (2007-2010). His academic career spans over 25 years in educational science and psychology, with a focus on instructional design, technology-enhanced learning, and educational research methodology. Dr. Stiller completed his academic journey at the University of Regensburg, where he earned his diploma in psychology from the Department of Experimental Psychology. He continued his studies at the same institution, completing his Ph.D. (Dr. phil.) research on pictures and texts in multimedia learning environments, followed by his Habilitation (postdoctoral qualification) on modes of text presentation and access to text in computerized learning environments. Dr. Stiller's research primarily focuses on the intersection of educational psychology and technology. His work explores how learners interact with various forms of instructional media, particularly examining cognitive, motivational, and affective processes in multimedia learning environments. He investigates how illustrations, text design, and interactive elements impact learning outcomes, with special attention to distance education contexts and game-based learning approaches. His research integrates theoretical frameworks like Cognitive Load Theory and the Cognitive Theory of Multimedia Learning with practical applications in educational settings. His scholarly contributions reveal consistent engagement with critical issues in educational technology, particularly examining learner characteristics that influence success in online and distance education. A significant thread throughout his work involves understanding how to reduce dropout rates in online training while enhancing learning outcomes through thoughtful instructional design. His recent publications show an increasing focus on the integration of social and emotional dimensions into multimedia learning theory, moving beyond purely cognitive approaches to create more holistic models of learning. Dr. Stiller serves on the editorial board of the Journal of Computer Assisted Learning (JCAL), a high-impact international journal with a Web of Science impact factor of 5.1. He has conducted over 170 verified peer reviews for prominent journals including JCAL (51 reviews), Sustainability (21), Instructional Science (20), Education Sciences (9), BMC Medical Education (8), and Educational Research Review (8), demonstrating his significant contribution to scholarly discourse in educational technology. Throughout his career, Dr. Stiller has mentored numerous students through various teaching roles across multiple academic programs. His teaching portfolio spans bachelor's and master's programs in Educational Science, teacher training programs, and specialized courses in media education. He has developed innovative approaches to instruction, integrating traditional methods with modern e-learning techniques to enhance educational experiences. His collaborative work extends to research partnerships with colleagues including Prof. Dr. Mike Altieri, Prof. Dr. Leo Riedl, Prof. Dr. Silke Schworm, and Stefanie Stiller. Dr. Stiller leads research activities focused on distance education and online learning environments, examining persistent challenges such as high dropout rates while exploring innovative solutions through learning analytics and data mining approaches. His work on game-based learning investigates how educational games can effectively support cognitive, motivational, and social learning processes. The integration of technology acceptance models into educational contexts represents another key dimension of his research program, helping to understand factors that influence successful implementation of e-learning solutions.
Joshua Carlson is a Professor in the Department of Psychological Science at Northern Michigan University's College of Arts and Sciences, holding a Ph.D. from Southern Illinois University. He directs the Cognitive x Affective Behavior & Integrative Neuroscience (CABIN) Lab, where he investigates how affective and social cues modulate cognitive processes using multimodal methodologies. His educational background includes: Ph.D. in Psychology, Southern Illinois University Dr. Carlson's research spans cognitive-affective neuroscience with emphasis on anxiety disorders, climate change psychology, and attention-emotion interactions. His work employs fMRI (functional, structural, diffusion tensor), EEG/ERP, genetic analysis, and behavioral paradigms to examine neural mechanisms underlying threat processing, climate anxiety, and pro-environmental behavior. Key methodologies include attention bias modification, reward processing tasks, and novel climate change assessment tools. Recent publications (2022-2025) reveal a pronounced shift toward climate change neuroscience, with 60% of recent work examining neural correlates of eco-anxiety and attentional responses to environmental threats. Concurrently, his anxiety research maintains focus on attentional bias mechanisms using advanced neuroimaging, with consistent exploration of anterior cingulate cortex function across both domains. Scientific recognition includes: Excellence in Scholarship Award (2017) As CABIN Lab director, Dr. Carlson leads research integrating biological measures (reaction times, questionnaires, MRI, EEG, genetics) to study affective-cognitive interactions. His team develops innovative paradigms like climate-specific dot-probe tasks and gamified reward processing assessments, with growing emphasis on translating neuroscience findings into environmental mental health interventions.
Dr. Yulia Belinskaya, MA is a Researcher at the Institute of Creative Media/Technologies at the University of Applied Sciences St. Pölten, where she is currently on leave. She also serves as a Lecturer at the University of Vienna's Department of Communication since 2018. Her academic journey includes positions as an Associate Lecturer at Sheffield Hallam University (2022), Research Assistant at the University for Continuing Education in Krems (2022), and previous research and teaching roles at the University of Vienna. Belinskaya's research focuses on the governance of communicative spaces and mechanisms of public opinion manipulation. Her work spans cultural and political communication, digital media, the spread of mis- and disinformation, and propaganda across various platforms. She also investigates media and cultural policies, platformisation, festivalisation of culture, and ethical considerations in communication, particularly in the context of artificial intelligence. Her publications demonstrate a strong emphasis on Russian digital spaces, social media platforms, and the intersection of technology with political and cultural dynamics. Her recent publications reveal a clear trend toward examining AI ethics and governance, misinformation in digital spaces, and cultural production in online environments. The research spans multiple disciplines including communication studies, political science, cultural studies, and media economics. Her work frequently analyzes Russian digital spaces, Telegram communications, and the impact of platformization on cultural and political expression. The temporal progression of her publications shows increasing focus on AI-related topics and the governance of digital communication spaces. Belinskaya is involved in several significant research projects including Creator Careers, FAIRAI, YCSAD, CliMeF (Climate Media Frames), ERIKA, and AI in Media Industry. These projects reflect her interdisciplinary approach to studying digital media, communication, and technology's societal impacts.
Christopher Croese is a Lecturer (Education Focussed) at the University of Technology Sydney's Faculty of Law, where he has been teaching since January 2018. Previously, he served as a Scholarly Teaching Fellow from 2016-2017. His academic foundation includes a Bachelor of Arts in Communication Studies from the University of Newcastle Australia and a Bachelor of Law with First Class Honours from UTS. His educational background demonstrates a strong foundation in both communication theory and legal principles, preparing him for his current focus on legal pedagogy and consumer law applications. His dual expertise in communication studies and law creates a unique approach to legal education that emphasizes clear communication of complex legal concepts. Croese's research interests center on innovative teaching methodologies in legal education, with particular emphasis on digital tools and student engagement strategies. His work explores how technology like Mentimeter, Premiere Pro, and cloud-based collaboration tools can transform traditional law teaching approaches. Additionally, he maintains strong expertise in commercial law, contract law, and consumer protection legislation, particularly the Australian Consumer Law framework. His scholarship bridges practical legal knowledge with cutting-edge teaching techniques, making complex legal concepts accessible to students through innovative delivery methods. His publications reveal a consistent focus on two main streams: legal education methodology and consumer/contract law applications. In legal education, he has pioneered techniques for online assessment, student feedback systems, and virtual classroom engagement. In substantive law, he has contributed to understanding holiday disappointment cases, statutory guarantees, and defamation law under NSW legislation. This dual focus demonstrates his commitment to both advancing legal knowledge and improving how that knowledge is transmitted to students. Student Experience (Highly Commended) Team Award (December 2024) UTS Learning and Teaching Citation (November 2019) Croese has demonstrated significant leadership in curriculum development and educational innovation within the Faculty of Law. His service includes membership on the UTS:Law Teaching and Learning Committee (2021-2022, 2024), serving as Co-Chair of the Faculty Meeting (2019-2023), and participation in the Faculty Courses Committee (2018-2019). His teaching portfolio spans foundational law subjects including Commercial Law, Contracts, Corporate Law, and Remedies, where he has developed specialized approaches for large cohort instruction and online delivery. He has supervised course-based degree projects focusing on consumer law applications, particularly regarding holiday disappointment cases under Australian Consumer Law. Working within the Faculty of Law's educational innovation framework, Croese collaborates with teaching and learning committees to develop cutting-edge approaches to legal education. His work with digital tools and platforms has positioned him as a leader in adapting legal education to contemporary technological environments, particularly in the transition to online and hybrid learning models.
Karol Draszawka serves as an Assistant lecturer at Gdańsk University of Technology, specifically within the Department of Computer Systems Architecture in the Faculty of Electronics, Telecommunications and Informatics. His academic work focuses on developing innovative approaches to artificial intelligence and machine learning problems. Dr. Draszawka's research interests span multiple domains of computer science, with particular emphasis on neural networks , reinforcement learning , and computer vision applications . His work demonstrates expertise in developing agents capable of solving complex logic tasks, improving multi-label classification systems, and implementing practical computer vision solutions for publishing sector applications. His research often bridges theoretical AI concepts with practical implementations, particularly in the areas of augmented reality and mobile applications. His publication record shows consistent contributions to the field from 2020 through 2024, with work appearing in journals like Applied Sciences-Basel and Communications in Computer and Information Science. His research demonstrates a progression from foundational AI concepts (like the Wumpus World environment) to increasingly sophisticated neural network applications and practical implementations in publishing technologies.
Kirsten Hermes serves as Senior Lecturer in Music Performance Technology at the University of Westminster since 2016, merging academic research with professional practice as electronica artist Nyokee. Her work bridges psychoacoustic engineering, electronic music performance, and creative technology development. Her educational foundation includes an EPSRC-funded PhD in Sound Recording and Psychoacoustic Engineering from the University of Surrey, where her thesis focused on spectral clarity predictors in music mixes. Research centers on automatic music mixing tools and spectral clarity modeling , expanding into AI's impact on creativity, virtual artist identities, and chiptune culture. Recent work examines pandemic adaptations in online music communities and audiovisual integration in live electronic performance, emphasizing practical applications for musicians. Analysis of her 15 most recent publications (2021-2025) reveals an evolution from core psychoacoustic research toward interdisciplinary exploration of AI, virtual performance, and cultural adaptation in electronic music. Key trends include human-AI collaboration frameworks, chiptune's digital resilience, and the role of 3D avatars in artist identity construction. She currently supervises doctoral researcher Clara Colotti, whose thesis investigates audiovisual expansion of orchestral cultural scope. While specific grant details aren't provided, her EPSRC-funded PhD demonstrates research funding capability. Affiliated with the university's Music Research Group, she actively engages the electronic music community through Nyokee performances at MAGfest, Comic Con, and Hyper Japan, blending academic inquiry with stage practice.
Rachel Larkum is a Lecturer at Cambridge School of Art within the Faculty of Arts, Humanities, Education and Social Sciences at Anglia Ruskin University, bringing over 30 years of professional experience in animation, motion graphics, and graphic design across children's television, video games, and corporate branding. Education: Art Foundation - Buckinghamshire University BA (Hons) Illustration and Graphics - Edinburgh College of Art MA Animation - The Royal College of Art PG Cert Art & Design Education - University of the Arts London Her research examines the intersection of traditional and digital media through sequential art and narrative structures, with expertise spanning 2D/3D animation techniques, typography, and book arts developed during professional work for Cartoon Network, Sony Entertainment, and Canon. Teaching and professional service: Module Lead for Professional Sequential Practice and Animation Skills Teaching Sequential Structures and Contexts, Animation Practice External Examiner at Middlesex University (Animation & Games) 18+ years lecturing at London College of Communication, Glasgow School of Art, and other UK institutions Her professional achievements include Channel 4 screening of her RCA graduation film (1995) and UK animation festival presentations, reflecting industry recognition beyond formal academic awards.
Naowarat Lewis is an Associate Professor at Anglia Ruskin University within the School of Economics, Finance and Law (Faculty of Business and Law). She concurrently serves as a Visiting Professor at Mahidol University, Thailand since 2024. Her multidisciplinary expertise spans Applied Statistics, Information Technology, and Information Science, directly informing her teaching and research in educational technology and statistics pedagogy. Her academic qualifications include: PhD in Computing and Information Science (Anglia Ruskin University) Postgraduate Certificate in Teaching and Learning (Higher Education) (Anglia Ruskin University) MSc in Information Technology (University of East London) BSc (Hons.) in Applied Statistics (University of the Thai Chamber of Commerce) Lewis pioneered the "Lewis Dynamic Model" educational framework examining technology-enhanced learner engagement in Business Statistics. Her research centers on Educational Technology, Serious Gaming, Statistics Education, and ICT for Development, with emphasis on video-based learning, gamification, and interactive pedagogy to improve quantitative skills. She actively integrates software development expertise from her professional background into pedagogical contexts. Analysis of her recent publications reveals consistent focus on technology-driven solutions for statistics education challenges, bridging Education, Business, and Computer Science disciplines through empirical studies and framework development. Key recognitions include: Vice-Chancellor’s Award for Learning and Teaching Excellence Senior Fellowship of the Higher Education Academy Lewis supervises DBA and PhD students while securing substantial research funding including the Low Carbon KEEP project (£79,253.36) and Retained Firefighters Union remote learning platform (£120,000). Her consultancy portfolio features statistical analysis for marketing campaigns (£10,000) and development of web-based learning facilities (£120,000), demonstrating strong industry-academia knowledge exchange. She contributes to editorial boards including Humanities and Social Sciences Communications (Nature Portfolio) and actively participates in curriculum development at Mahidol University, extending her impact through international academic collaboration.
Kyoko Takahashi is a Professor at Waseda University's School of Political Science and Economics in Tokyo, Japan, where she has been teaching Journalism and Documentary Production since 2003. She holds a Master of Fine Arts from Columbia University's Graduate School of Arts, Film Division, which she completed in 1991 after entering the program in 1986. Prior to her academic career, Takahashi worked as a journalist at Business Week's Tokyo Bureau starting in 1982. Current Position: Professor at Waseda University Academic Background: Master of Fine Arts (Columbia University) Professional Experience: Journalist at Business Week (1982-1986) Additional Affiliations: Faculty of Science and Engineering, Faculty of Letters, Arts and Sciences, Global Education Center Professor Takahashi earned her Master of Fine Arts from Columbia University Graduate School of Arts, Film Division in 1991. Her educational background in film and visual media has directly informed her subsequent academic and professional trajectory in journalism and media studies, providing a strong foundation for her interdisciplinary approach to media education and research. Her research primarily focuses on Media Literacy Education, Journalism, Documentary Production, and Future Journalism. Takahashi investigates how citizens can develop critical thinking skills to navigate the complex media landscape, particularly in the "post-truth" era where misinformation proliferates. She has developed innovative approaches to media education for diverse age groups, including specialized workshops for senior citizens. Her work examines the evolving nature of journalism, particularly the rise of non-profit media organizations as alternatives to traditional journalism models. She has made significant contributions to understanding gender representation in news media through her involvement with the Global Media Monitoring Project. Her recent publications demonstrate a clear trajectory toward understanding media in the digital age, with increasing focus on media literacy as a citizen activity, post-truth challenges, and the future of journalism. The work shows interdisciplinary engagement across media studies, sociology, education, and political science, with particular attention to practical applications of media literacy concepts in real-world contexts. Japan Prize from the NHK Japan Prize International Contest for Educational Media (2011) Contributor to The Nikkei Newspaper with "Let's Rethink the Future of Journalism: Election Reporting in the Digital and AI Era" (2024) Professor Takahashi actively mentors students through various thesis supervision roles and specialized seminars. Her research projects, including the Media Literacy Project and preparation for the Global Media Monitoring Project 2025, demonstrate her commitment to developing practical media literacy education approaches. She has secured funding for multiple initiatives focused on creating media literacy workshops for different demographic groups and exploring new models for journalism education that address contemporary challenges. She leads the Media Literacy Project and has established partnerships with various organizations to implement media literacy workshops across Japan. Her work extends to international collaborations, including participation in the Global Media Monitoring Project, which involves over 100 countries analyzing news media through a gender lens. She serves as Director of both the Japan Media Literacy Research Institute and NPO FCT Media Literacy Institute, demonstrating her leadership in the field.
