Amanda Phillips is an Associate Professor at Georgetown University, affiliated with the Departments of English, Film and Media Studies, Women’s and Gender Studies, and American Studies. Their research focuses on feminist and queer theory in digital media, with a particular emphasis on critical game studies and digital humanities. Selected publications include Gamer Trouble: Feminist Confrontations in Digital Culture and co-editing the Queer/Trans/Digital book series. Their scholarship appears in journals such as ROMchip , Feminist Media Histories , and Games and Culture . Research Interests: Digital media and gender politics Queer theory in gaming contexts Decolonial and anti-racist digital humanities Critical analysis of game mechanics Digital labor and precarity Affective histories of gaming Scientific Awards: Mellon/ACLS Dissertation Completion Fellow Academic Leadership: Former chair of the American Studies Association Digital Humanities Caucus Co-founder of the #transformDH Collective Editorial work on special issues of Game Studies and Antares: Letras e Humanidades Previous Institutions: IMMERSe Postdoctoral Fellow at University of California, Davis Ph.D. recipient from University of California, Santa Barbara with emphasis in Feminist Studies
Professor Gabriel Brostow is a faculty member in the Department of Computer Science at University College London (UCL), where he leads research in Computer Vision and Human-Computer Interaction. He also serves as Chief Research Scientist and Senior Director of the R&D Team at Niantic, the company behind Pokémon GO. His work bridges academic research and industry applications, focusing on developing AI systems that enhance human capabilities through what he terms 'Human in the Loop AI'—now commonly referred to as Human-Centered AI. Brostow completed his BS in Electrical Engineering at UT Austin, followed by a PhD with Irfan Essa at Georgia Tech. He then pursued postdoctoral research with Roberto Cipolla's Computer Vision & Robotics Group at Cambridge University as a Marshall Sherfield Fellow, and with Marc Pollefeys in ETH Zurich's CVG Group. His research explores how AI, particularly Computer Vision, can serve as 'super-tools' for professionals across various domains including filmmaking, architecture, robotics, and scientific research. Specific interests include assistive technology for everyday life, authoring systems that maximize user effort, 3D reconstruction, depth estimation, and vision-language models. His work often involves creating systems that are validated through real-world human interaction to ensure practical utility. Analysis of his recent publications reveals a strong focus on practical applications of Computer Vision that directly interact with humans. His research spans 3D scene understanding, depth estimation, sketch-based interfaces, and multimodal AI systems. There's a clear emphasis on creating benchmarks and tools that facilitate human-AI collaboration, with applications in assistive technology, urban planning, filmmaking, and biodiversity monitoring. His work frequently appears at top conferences including CVPR, NeurIPS, ECCV, and CHI. Marshall Sherfield Fellowship Brostow actively mentors PhD students, with current advisees including Ross Murphy, Skanda Koppula, Gizem Unlu, Omiros Pantazis, and Jamie Watson. His alumni include numerous PhD graduates and MSc students who have gone on to successful careers in academia and industry. He emphasizes selecting students based on passion and potential rather than just academic credentials, valuing traits like helpfulness, drive, and hunger to learn. His research is supported through collaborations with major institutions and companies including DeepMind, MIT, and the University of Edinburgh. He leads a research group at UCL that collaborates closely with Niantic's R&D team, creating a unique bridge between academic research and industry application. His team's work frequently involves developing novel Computer Vision techniques that are validated through real-world human interaction, ensuring practical utility alongside technical innovation. The group explores blue-sky research problems with applications ranging from assistive technology to professional tools for filmmakers, architects, and scientists studying diverse environments.
Hiroshi Ishikawa is a Professor in the Department of Computer Science and Engineering at Waseda University's Faculty of Science and Engineering. He also serves as a Visiting Professor at the National Institute of Informatics since 2016. Previously, he held positions at Nagoya City University from 2004-2010 as Assistant Professor, Associate Professor, and Professor. His academic journey includes being a JST PRESTO Researcher from 2009-2013 and an Associate Research Scientist at New York University's Courant Institute of Mathematical Sciences from 2000-2001. Ph.D. in Computer Science, New York University (2000) Master of Science, Kyoto University Bachelor's degree in Mathematics, Kyoto University Faculty of Science (1991) Hiroshi Ishikawa's research spans perceptual information processing, computer vision, artificial intelligence, deep learning, and discrete optimization. His work focuses on developing algorithms for image restoration, segmentation, and understanding, with significant contributions to energy minimization techniques in computer vision. He has pioneered approaches in sketch simplification, medical image segmentation, and higher-order graph cuts. His research bridges theoretical advances in mathematical optimization with practical applications in medical imaging, computer graphics, and consumer electronics. Ishikawa's recent publications demonstrate a strong focus on leveraging deep learning for image enhancement and understanding. His work spans super-resolution techniques, colorization methods, human avatar generation, and medical image analysis. A notable trend is the increasing integration of attention mechanisms and generative models to solve complex vision problems, with growing emphasis on real-world applications in medical imaging and computer graphics. His research group consistently produces high-impact work that appears in top-tier computer vision conferences. 75th Annual IEICE Best Paper Award (2019) Innovative Technologies 2016 Special Prize for Culture (Ministry of Economy, Trade and Industry) MIRU Nagao Award (Best Paper Award) (2009) Young Author Award (IEEE Computer Society Japan Chapter, 2006) MIRU2006 Excellent Paper Award (2006) Harold Grad Memorial Prize (Courant Institute of Mathematical Sciences, NYU, 2000) As a professor at Waseda University, Ishikawa has mentored numerous students who have become active researchers in computer vision, including Yuya Masuda, Edgar Simo-Serra, and Satoshi Iizuka. His research has been supported by various grants, including JST PRESTO funding from 2009-2013. He has served on editorial boards for prestigious journals including IEEE Transactions on Pattern Analysis and Machine Intelligence and has held leadership roles in major computer vision conferences such as ICCV, CVPR, and ACCV. Ishikawa leads a vibrant research group at Waseda University focused on computer vision and image processing. His laboratory collaborates extensively with researchers at Nagoya City University, National Institute of Informatics, and international institutions. The group maintains strong connections with industry partners, particularly in medical imaging and consumer electronics sectors, translating theoretical advances into practical applications.
James Manning is a Lecturer in Digital Design at RMIT University's School of Design. His research focuses on game design, digital media, and cultural memory, exploring topics such as game preservation, livestreaming practices, and the intersection of play and technology. He is particularly interested in 'anarchaeological' approaches to defunct games and the documentation of everyday play practices. His teaching interests include game studies, interactive media, animation aesthetics, and design methodology. He actively supervises research in strategies for reflective shortform game design and has contributed to projects like the Astrosurf interactive dome experience. Key research themes include media archaeology, esports culture, and the sociocultural dimensions of digital games. His work bridges theoretical frameworks with empirical studies, examining how digital platforms shape media consumption and cultural production.
David Salesin is an Affiliate Professor in the Department of Computer Science & Engineering at the University of Washington and a Principal Scientist/Director at Google Research since 2019. He has held academic roles at Cornell University (Visiting Assistant Professor, 1991-92) and guest professorships at Zhejiang University. His career spans academia and industry, including leadership at Adobe's Creative Technologies Lab (2005-17) and Microsoft Research (1999-2005). PhD, Stanford University (1991) Sc.B., Brown University (1983) His research focuses on computer graphics, particularly non-photorealistic rendering, digital typography, color science, and adaptive document layout. He pioneered techniques in image-based rendering, pen-and-ink illustration, and facial animation, with applications in multimedia and user interface design. Article Trends : His work bridges procedural content generation, 3D visualization, and artistic computing, emphasizing user-driven tools for creative industries. Key subfields include texture advection, multiresolution modeling, and real-time camera control for virtual cinematography. Scientific Awards : ACM Fellow (2002) ACM SIGGRAPH Achievement Award (2000) Carnegie Foundation Professor of the Year (1998) NSF Presidential Faculty Fellow (1995-98) Alfred P. Sloan Research Fellowship (1995-97) Numerous industry grants and lab donations He has advised over 30 PhD and Master's students, including leaders at Microsoft, Pixar, and Google. His labs at UW and Adobe focused on graphics, imaging, and creativity tools.
Siyu Tang is an Assistant Professor in the Department of Computer Science at ETH Zürich, where she leads the Computer Vision and Learning Group (VLG) at the Institute of Visual Computing. Her research focuses on computational models for human perception and digitalization through computer vision and machine learning. Her educational background includes: PhD in Computer Science, Max Planck Institute for Informatics (2017), supervised by Prof. Bernt Schiele Master of Science in Media Informatics, RWTH Aachen University Bachelor of Science in Computer Science, Zhejiang University, China Dr. Tang specializes in human-centric computer vision, developing statistical models for motion analysis, pose estimation, and digital human creation. Her work integrates machine learning with optimization techniques to enable machines to interpret human activities from visual data, with applications spanning virtual reality, healthcare, and human-computer interaction. Key research thrusts include generative models for content creation, egocentric vision, and human motion synthesis. Her recent publications (2024-2025) demonstrate intense focus on 3D human modeling and neural rendering, with Gaussian splatting emerging as a dominant technique for efficient avatar creation and scene reconstruction. Significant themes include text-driven motion synthesis using diffusion models, relightable avatars, surgical training applications, and egocentric multimodal pretraining. This work bridges computer vision, graphics, and machine learning to advance human digitalization. No scientific awards were mentioned in the provided text. Dr. Tang leads the VLG research group at ETH Zürich, mentoring PhD and Master's students in human-centric AI. She previously secured an early career research grant from the Max Planck Institute for Intelligent Systems to establish her independent research program. Her group actively pursues funding for projects in human motion analysis, 3D reconstruction, and generative modeling, with strong industry and clinical collaborations. The Computer Vision and Learning Group (VLG) operates within ETH's Institute of Visual Computing, maintaining dedicated facilities for motion capture, 3D scanning, and high-performance computing. The team collaborates internationally with institutions like the Max Planck Society and focuses on scalable solutions for real-world human digitalization challenges, including surgical training systems and immersive virtual environments.
Adam Reed is an Associate Professor in Social Anthropology at the University of St Andrews, School of Philosophical, Anthropological & Film Studies. His research spans multiple interconnected fields including legal anthropology, urban studies, literary anthropology, and the anthropology of ethics. With extensive fieldwork experience in Papua New Guinea, the UK, and Australia, Reed has developed a distinctive approach to understanding social phenomena through ethnographic engagement with diverse communities. His research interests form five interconnected strands: Legal Anthropology focusing on cultures of incarceration in Papua New Guinea Anthropology of the City examining London through walking tour guides and digital journal keepers Anthropology and Literature studying literary societies and reading practices Anthropology of Ethics investigating animal welfare campaigning in Scotland Anthropology of Migration analyzing Papua New Guinean experiences in Western Australia Reed's recent publications reveal a strong trajectory toward ethical subjectivity and human-animal relationships, with numerous 2023-2025 works exploring moral dilemmas in animal protection, silence practices in zoos, and character theory. His work increasingly bridges anthropology with literary studies, philosophy, and environmental science, demonstrating interdisciplinary reach while maintaining ethnographic depth. His scientific recognition includes prestigious awards such as the Junior Research Fellowship at Clare College, Cambridge (1997), Emslie Horniman Award from the Royal Anthropological Institute (1994), and multiple early-career funding awards. Reed has led three major research projects including 'Listening to the Zoo' and 'Compatriot Sociality' focusing on Papua New Guinean migrants. As an active academic, Reed has supervised 9 postgraduate students, participated in 59 scholarly activities including conference organization and invited talks, and maintains strong engagement with both theoretical debates and practical applications of anthropological knowledge, particularly regarding sustainable development goals related to ethical practices and cultural understanding.
Kerri Kotta is a Professor of Music Theory and Head of Musicology at the Estonian Academy of Music and Theatre. She holds a PhD in Musicology (2004) and an MA in Composition (1997) from the same institution. Her research focuses on music theory, tonal analysis, Estonian music history, and contemporary composition, with special expertise in the works of Eduard Tubin and Dmitri Shostakovich. She coordinates the International Eduard Tubin Society and edits the composer's complete works. Her research interests span music theory , compositional techniques , Estonian cultural heritage , and interdisciplinary performance studies . Recent publications explore modernism in Estonian art music, Beethoven's structural rhetoric, and socio-psychological dimensions of contemporary opera. Kotta received the Reet Neimar Criticism Award (2023) for her contributions to music scholarship. She leads the project How to share the ardor? Conveying complex musical structures through animated scores (2024-2025), funded by the Estonian Ministry of Culture. Administratively, she chairs the Estonian Musicological Society (2013–present) and the International Eduard Tubin Society (2015–present), while serving on the board of the Estonian Composers Union (2022–present).
Andrew Campana is an Assistant Professor of Asian Studies at Cornell University's College of Arts and Sciences, specializing in modern and contemporary Japanese literature and media. His research explores the possibilities and limitations of expression during media transitions, with particular focus on poetry, digital media, and disability studies. His academic journey includes a Ph.D. in East Asian Languages and Civilizations from Harvard University and an Honors B.A. in East Asian Studies from the University of Toronto. Campana's first book, Expanding Verse: Japanese Poetry at the Edge of Media , published by the University of California Press in 2024 as an open access work, examines Japanese poetic practice from the 1920s to the present as poets engaged with evolving media technologies including film, tape recording, television, and the internet. As a researcher, Campana's work bridges literary studies, media studies, game studies, and disability studies, with current projects exploring how poetry became a key site of digital experimentation in Japan. His research methodology combines traditional literary analysis with hands-on creative practice, informed by his experiences at MIT's Trope Tank laboratory. His scholarly interests span Japanese media history, disability representation in literature and gaming, digital poetics, and gender studies. His research has received significant media attention, including features in the Cornell Chronicle ('Poets in Japan Experiment at the Edge of Media' and 'Japanese Poets Open New Ways of Thinking About Media'), The Statesman, and interviews on NPR's Academic Minute and the Curiosity Daily podcast discussing his work on gaming and accessibility. As an educator, Campana teaches courses including 'Introduction to Japan,' 'Japanese Poetry,' and 'The Glitch: Errors, Disability, and the Edges of Digital Media' (ASIAN 4703/6703), guiding students through interdisciplinary explorations of Japanese literature, media, and digital culture. His teaching reflects his commitment to understanding media transitions through both theoretical and practical lenses.
Deanne L. Westerman is a Professor and Cognitive Area Coordinator in the Department of Psychology at Binghamton University. Her research focuses on human memory processes, particularly recognition memory, familiarity, and attributional factors influencing memory decisions. She holds a PhD and MA from Case Western Reserve University and a BS from John Carroll University. Her work explores how perceptual and conceptual fluency impact memory judgments, with recent studies examining effects of photos/screenshots on memory impairment and emotional image processing. She has received the Chancellor's Award for Excellence in Teaching (2002-2023). Currently accepting graduate students for Fall 2024. Key research areas: Recognition memory, metamemory, cognitive bias, and memory illusions. Methodological expertise includes experimental design, memory paradigms, and cognitive neuroscience techniques.
Dr. Gan Sheuo Hui serves as Lecturer in Animation at LASALLE College of the Arts, Singapore, with extensive international engagement through visiting positions at National University of Singapore (NUS), Kyoto Seika University, and the Sainsbury Institute for the Study of Japanese Arts and Cultures. Her academic profile bridges Japanese animation scholarship with Southeast Asian cultural contexts through fieldwork-driven research. Her educational qualifications include: PhD in Human and Environmental Studies from Kyoto University, Japan Master of Communication (Screen Studies) from University of Science Malaysia Bachelor of Communication (Film Studies) from University of Science Malaysia Dr. Gan's research examines Japanese anime, manga, and popular culture through lenses of authorship, censorship, and cultural hybridity, with particular focus on transnational adaptations in Southeast Asia. She integrates theoretical frameworks with empirical fieldwork involving creators, curators, and fans across Asia and the West, emphasizing practical production aspects alongside critical analysis. Her interdisciplinary approach connects film studies, media theory, and cultural anthropology. Her scholarly trajectory reveals consistent exploration of animation aesthetics (especially limited/selective animation), historical evolution of Japanese animation, and hybrid cultural forms in Southeast Asia. Key thematic threads include re-evaluating animation techniques beyond Western paradigms, analyzing global anime circulation, and documenting local adaptations of manga in Malaysia. This body of work demonstrates strong methodological integration of archival research, industry analysis, and ethnographic observation. Scientific recognition includes: Two-year Japan Society for the Promotion of Science (JSPS) Grant for postdoctoral research on Japanese anime history Sainsbury Institute for the Study of Japanese Arts and Cultures Fellowship Dr. Gan has secured competitive research funding including the JSPS grant, and maintains active international collaboration through invited lectures at institutions like Sorbonne, Tokyo University, and Keio University across 20+ countries. Her teaching innovations include NUS modules incorporating Japan-based field studies, reflecting her commitment to experiential learning in Japanese visual culture. While specific student advising isn't detailed, her pedagogy emphasizes creator-fan industry ecosystems. Her research network spans the Archive Center for Anime Studies (Niigata University), Kyoto Seika University's Manga Department, and global symposia, facilitating cross-institutional knowledge exchange on animation history and contemporary media practices.
Alison Baker is a Senior Lecturer at the University of East London within the School of Childhood and Social Care. She specializes in Education and teaches modules on inclusion, Primary English, children's literature, and reflective practice in Primary Teaching. PhD candidate researching white working-class children in children's fantasy fiction Areas of expertise: Social class representation, reading for pleasure, inclusive pedagogy Research Focus: Investigates how social class portrayal in fantasy literature impacts children's reading engagement, with particular attention to working-class disempowerment in fictional narratives. Her work bridges literary analysis with educational practice through projects like the UEL Goodreads discussion group. Key Publications: Contributions on social class in Harry Potter, children's comics, and critical reading pedagogy. Notable works include analyses of social capital in fantasy fiction and the use of social media for teacher development. External Roles: Served as Children's Programme Coordinator at Eastercon 2019 (Ytterbium) and currently sits on the Editorial Board of the Journal of Historical Fiction.
Dimitris Samaras is a SUNY Empire Innovation Professor in the Department of Computer Science at Stony Brook University, affiliated with the College of Engineering and Applied Sciences. He leads the Computer Vision Lab and holds adjunct roles in Biomedical Informatics and Radiology. His research focuses on computer vision, machine learning, medical imaging, and computational behavioral sciences, with interdisciplinary collaborations in psychology and neuroscience. Education: Ph.D. in Computer Science (University of Pennsylvania, 2001), M.S. in Computer Science (Northeastern University, 1994), Diploma in Computer Engineering (University of Patras, Greece, 1992). Research Interests: Modeling 3D shape and illumination interactions, facial expression analysis, medical image analysis, and applying machine learning to brain imaging. Current funded projects include NIH/NIDA grants, NSF initiatives, and collaborations with institutions like Brookhaven National Lab and Adobe. Publications: Over 150 peer-reviewed papers in top venues like ICCV, CVPR, and MICCAI, with impactful work on shadow removal, face relighting, and digital pathology. Recent trends emphasize medical AI, generative models, and multimodal interactions. Awards: SUNY Chancellor’s Award (2018), Dean’s Millionaire’s Club (2016), and multiple NIH/NSF grants. Recognized for contributions to scholarship and creative activities in academia. Grants & Teams: Leads over $10M in active grants, including projects on AI for penguin population tracking, histopathology image analysis, and robotic assistance. Collaborates with interdisciplinary teams in medicine, engineering, and cognitive science. Labs & Initiatives: Directs the Computer Vision Lab, contributes to the ColdSteel/NSF CVDI-NY SPIR consortium, and co-leads the Sensor and Transportation Security Center with Farmingdale State College.
Dr. Matthew Cipa is an Affiliate Research Fellow and Teaching Associate in Film and Television Studies at The University of Queensland's School of Communication and Arts. His work bridges film studies with philosophical inquiry, particularly exploring metaphysical dimensions of cinema and television. He holds a PhD in Metaphysical Film and Television from The University of Queensland (2020). Research focuses on philosophical analysis of film form, directorial auteurism, and representation of abstract concepts like empathy and existence. Notable projects include studies on Abel Ferrara's critical reception, autism portrayal in Being There/Phantom Thread, and metaphysical themes in films like EO and Au Hasard Balthazar. Published works include a 2024 monograph exploring metaphysical screen concepts and chapters in academic collections on Schiller's philosophy and directorial styles. His reviews engage with key texts in film philosophy and cognition theories. Teaching responsibilities include film theory and analysis courses within the School of Communication and Arts. Active in academic discourse through the Digital Futures Lab and scholarly collaborations with institutions like Edinburgh University Press and SUNY Press.
Ohad Fried is an Associate Professor of Computer Science at Reichman University. He was previously a postdoctoral research scholar at Stanford University under Prof. Maneesh Agrawala and completed his PhD with Prof. Adam Finkelstein as part of the Princeton Graphics group. He holds an M.Sc. in Computer Science and a B.Sc. in Computational Biology from The Hebrew University. His research lies at the intersection of computer graphics, computer vision, and Generative AI , focusing on tools, algorithms, and paradigms for photo and video editing and synthesis . His work has been widely recognized in top conferences including CVPR, SIGGRAPH, and ECCV, with recent contributions to tiled diffusion models, expressive 4D facial motion generation, and synthetic image detection. Ohad has received numerous awards, including the Israel Science Foundation personal research grant (2021) , the Outstanding faculty researcher at Reichman University (2022) , and the Siebel Scholar award (2017) . He has advised multiple students in research projects, and his work is covered by media outlets like Wired , The Washington Post , and CNN . Teaching roles include courses at Reichman University such as "GenAI for Games & Entertainment" and "Synthetic Media Detection", and at Stanford University "Computational Video Manipulation". Key Research Themes: Neural Rendering Diffusion Models 3D Facial Animation Image/Video Editing Media Forensics Scientific Awards: ISF Personal Grant (2021) Siebel Scholar (2017) Google PhD Fellowship (2014-2016) Gordon Y.S. Wu Fellowship (2012-2013) Excellence Scholarships
