Katahira Kenji is an Associate Professor at the School of Humanities and Social Sciences , Osaka University, with research spanning music psychology , emotion physiology , and Kansei informatics . His work bridges Cognitive neuroscience Human-computer interaction Design psychology Key research themes include flow experiences , emotional piloerection , and nonverbal communication in musical ensembles . He developed EEG-based flow state measurement 3D shape evaluation models Emotional response frameworks for sound and design His scientific contributions include Good Design Award (2014) ICMPC10 Travel Award (2008) Multiple best paper awards from Japanese academic societies Recent projects focus on Neural basis of voluntary piloerection Physiological measurement systems for peak experiences Kansei evaluation models for textures and 3D designs with grants from the Japan Society for the Promotion of Science.
Gabriel Byng is a researcher at the University of Vienna's Institute of Art History within the Faculty of History and Cultural Studies, with additional affiliation to the History Department at University of Cambridge. His office is located at Garnisongasse 13, University Campus Hof 9, 1090 Vienna, where he can be reached at +43-1-4277-41484. Dr. Byng holds degrees including BA and MA from Cambridge (Cantab) plus another MA. Dr. Byng's research spans multiple interconnected fields in medieval studies with particular focus on architecture's relationship to economic structures, political theory, material culture, and religious experience. His work examines how spatial organization in churches reflected and shaped social hierarchies, how building practices connected to broader economic patterns, and how material objects mediated religious experiences. His Digital Pilgrim II project represents his commitment to applying digital methodologies to traditional art historical questions, particularly regarding medieval pilgrimage practices and iconography. An analysis of Dr. Byng's recent publications reveals a consistent scholarly trajectory exploring the intersection of architecture, social organization, and religious practice in medieval Europe. His work demonstrates particular expertise in English parish church architecture while increasingly incorporating Viennese contexts, as seen in his 2023 article on St. Stephen's Cathedral during the 1408 political crisis. Methodologically, he bridges traditional archival research with theoretical frameworks from practice theory, phenomenology, and material culture studies. Reginald Taylor and Lord Fletcher Essay Prize (for 'The Function and Iconography of the Minstrels' Gallery at Exeter Cathedral') Dr. Byng's scholarly contributions extend beyond traditional academic publishing through his involvement with projects like Digital Pilgrim II, which examines medieval pilgrimage practices through digital mapping of badge distributions. His policy paper submission to the Culture, Media and Sport Committee's inquiry into tourism demonstrates engagement with contemporary heritage management issues. His work with the Churches Conservation Trust and the Cathedral and Church Buildings Division shows practical application of his research to current preservation challenges. Dr. Byng actively participates in academic discourse through numerous conference papers, seminars, and public talks on topics ranging from medieval synagogues to parish church guides. His research on the 'iconographic communities' formed through shared visual culture in late-medieval Europe represents an innovative approach to understanding medieval social networks through material evidence.
Karl J. Friston is Professor of Imaging Neuroscience and Wellcome Principal Research Fellow at the Faculty of Brain Science, University College London. He serves as Scientific Director of the Wellcome Trust Centre for Neuroimaging and has been a leading figure in computational neuroscience for decades. Friston previously served as President of the international Organization of Human Brain Mapping in 2000 and has received numerous prestigious awards for his groundbreaking work. Professor Friston's research centers on theoretical neuroscience with a focus on the free energy principle , active inference , and predictive coding frameworks. His work spans multiple disciplines including neuroimaging methodology , computational psychiatry , and cognitive neuroscience . Friston has developed statistical approaches like Statistical Parametric Mapping (SPM) that have become standard tools in brain imaging research worldwide. His theoretical contributions provide unifying frameworks for understanding perception, action, and consciousness from a computational perspective. Analysis of Friston's recent publications reveals continued innovation in applying mathematical frameworks to complex neuroscience questions. His work increasingly bridges theoretical neuroscience with clinical applications in psychiatry and expands into artificial intelligence, exploring how brain principles can inform machine learning. The articles demonstrate consistent development of the free energy principle across diverse domains from psychedelic drug action to climate change impacts on brain health. Minerva Golden Brain Award (2003) Fellow of the Royal Society (2006) Medal, Collège de France (2008) Honorary Doctorate from the University of York (2011) Fellow of the Society of Biology (2012) As Scientific Director of the Wellcome Trust Centre for Neuroimaging, Friston leads a major research program that has secured substantial funding from the Wellcome Trust and other major research bodies. His theoretical frameworks have generated numerous research projects worldwide, influencing both basic neuroscience and clinical applications. Friston's work has been particularly influential in precision psychiatry, where computational approaches are being applied to understand and treat mental disorders through frameworks like the 'Bayesian Dysconnections' model. Friston is based at the Wellcome Trust Centre for Neuroimaging at University College London, a leading institution for brain imaging research. His work involves extensive collaborations across multiple disciplines and institutions, bringing together neuroscientists, physicists, mathematicians, and clinicians to advance our understanding of brain function through advanced imaging and computational techniques.
Francesc Moya Serra serves as a Senior Lecturer in Immersive and Interactive Audio and Media at the University of Westminster, teaching across MA Audio Production, MA Interactive Media Practice, MA Digital Media: Storytelling and Production, and BA (Hons) Commercial Music programs. He additionally teaches at the University of Brighton, BIMM London, London South Bank University, and Buckinghamshire New University, and acts as External Examiner for London College of Music (UWL), Middlesex University, and SAE Institute. Education: BA (Hons) MA PGCert HE Fellow of the Higher Education Academy (FHEA) His UKRI-funded research centers on spatial audio applications in digital health, with expertise spanning immersive audio, interactive audio, XR, sound art, and generative music systems. He explores the integration of audio technology with health contexts and creative expression through interactive media. Publication trends reveal progression from generative music frameworks (2021) to advanced 3D sound design instruments (2025), emphasizing practical audio tools for immersive environments and health applications across audio engineering, computer music, and digital media disciplines. Scientific Awards: No awards documented in available information Dr. Moya Serra supervises students in immersive/interactive audio and media fields, supported by active UKRI grant funding for spatial audio innovation in digital health. His professional showreel demonstrates extensive work in sound design, post AV, and sound art across academic and creative domains.
Univ.-Prof. Dr. Achim Zeileis is a full-time University Professor at the Institute of Statistics, University of Innsbruck, where he has been affiliated since 2010. Originally from Paderborn, Germany, he resides in Innsbruck and specializes in statistical research, with inferred interests in computational statistics and data science. His academic work leverages his background as a self-described "statistics and computer nerd," though specific subfields or projects are not detailed in the source text. Outside academia, he pursues endurance sports (cycling, running, hiking), is learning cross-country skiing, and maintains broad interests in film genres and music, having previously worked as a DJ in Vienna.
Roni Granot is a Professor and Principal Investigator at the Department of Musicology, Hebrew University of Jerusalem, where they lead the Music Cognition Lab. With 61 publications and nearly 2,000 citations, Granot has established themselves as a prominent researcher in the interdisciplinary field connecting music with cognitive science, neuroscience, and psychology. Granot's research focuses on music cognition, particularly the psychological and neural mechanisms underlying emotional responses to music. Their work examines how musical elements like rhythm, melody, and structure influence listeners' emotional experiences, social bonding, and cognitive processing. Recent research has explored music's role in well-being during crises, such as the COVID-19 pandemic, investigating how individuals across different cultures use music to achieve emotional regulation and social connection. Analysis of Granot's publication record reveals a strong interdisciplinary approach combining neuroscience, psychology, and music theory. Their research demonstrates particular interest in predictive coding models of music perception, examining how listeners' expectations influence emotional responses. The work spans experimental studies using fMRI, behavioral experiments, and cross-cultural investigations, with significant contributions to understanding musical humor, social bonding through music, and the neural correlates of musical pleasure. As Principal Investigator of the Music Cognition Lab, Granot has fostered numerous international collaborations with researchers in neuroscience, psychology, and musicology. Their work has been cited by scholars across multiple disciplines, indicating significant impact in both music research and cognitive science communities.
Carla Pais-Vieira is an Assistant Professor of Psychology at the Nursing School of the Catholic University of Portugal (UCP) and Coordinator Researcher of the Brain-Machine Interface Research Lab (BMIsLab) at the Center for Interdisciplinary Research in Health (CIIS). Her academic journey includes a PhD from Duke University's Center for Cognitive Neuroscience, where she studied neural mechanisms of memory, perception, attention, and emotions. Dr. Pais-Vieira's research focuses on the application of Brain-Machine Interfaces to healthcare, with particular emphasis on neurorehabilitation for spinal cord injury patients. Her work spans both basic and translational research, developing innovative approaches for detection, prevention, assessment, diagnostics, rehabilitation, and disease management. She has pioneered the development of a thermotactile stimulation device (patented) and created robotic neurorehabilitation protocols tailored for individuals with Spinal Cord Injury. Her recent publications demonstrate a strong trend in applying advanced neurotechnology to rehabilitation challenges, particularly in spinal cord injury recovery and sensory perception. Her work integrates multiple disciplines including neuroscience, engineering, and clinical practice to develop practical healthcare solutions. Dr. Pais-Vieira has received notable recognition for her work: Corruption Prevention Prize from the Portuguese Court of Auditors Prémio de Excelência pela Secção Regional do Norte da Ordem dos Enfermeiros (December 9, 2023) Winner of the European Institute of Innovation & Technology (EIT) Health Jumpstarter Grand Final (2022) As an academic supervisor, Dr. Pais-Vieira mentors MSc and PhD students in psychology and neuroscience. She has secured over €300,000 in competitive research funding and since 2022 has been responsible for Monitoring and Evaluation of €1,240M in European-funded health system investments through Portugal's National Health Service. Dr. Pais-Vieira leads the Brain-Machine Interface Research Lab (BMIsLab), where her team develops cutting-edge technologies including integrated exoskeletons, virtual reality applications, and advanced neuroimaging techniques for healthcare solutions. The lab's work bridges neuroscience, engineering, and clinical practice to address real-world healthcare challenges.
Pedro Rebelo is a Professor at Queen’s University Belfast, currently serving as Director of Research for the School of Creative Arts and overseeing the Sonic Arts Research Centre. Previously, he held leadership roles as Director of Education and Acting Head of School within the School of Music and Sonic Arts. His academic career includes a 2007 Visiting Professorship at Stanford University and appointments as Music Chair for major international conferences including ICMC 2008, SMC 2009, and ISMIR 2012. He completed his PhD at the University of Edinburgh in 2002, conducting interdisciplinary research bridging music and architecture. His scholarly contributions appear in journals such as Organized Sound, Contemporary Music Review, and Leonardo, alongside presentations at NIME, ICMC, and ISEA conferences. Rebelo’s creative practice centers on technology-mediated sound exploration, with research interests spanning Sound Art, Computer Music, and New Media Art. His work critically engages with contemporary culture through chamber music compositions, live improvisation, and interactive installations that challenge traditional performance boundaries. His recognition includes: Northern Bank’s Building Tomorrow’s Belfast prize Internationally exhibited at venues including Melbourne Recital Hall, National Concert Hall Dublin, and Ars Electronica, his collaborations feature artists like Evan Parker and Pauline Oliveros. Recordings are released through Creative Source Recordings, documenting his piano improvisations and experimental performances. As Director of Research, he leads initiatives through the Sonic Arts Research Centre, fostering cross-disciplinary projects that integrate emerging technologies with artistic practice while shaping curriculum development across the School of Creative Arts.
Martine AZAM is a Lecturer in the Sociology Department at the University of Toulouse - Jean Jaurès, affiliated with the Interdisciplinary Laboratory for Solidarity, Societies, Territories (LISST). She serves as Co-head of the MISS master's degree program within the Sociology Department. Her academic work focuses on the sociology of art, cultural practices, and the relationship between territories and artistic identity. Dr. AZAM's research spans several key areas including artistic trajectories and recognition processes, creative spaces such as fab-labs and third places, personal networks in arts and culture sectors, youth culture, appropriation processes in art reception, and the relationship between territories, local identity, and artistic identity. Her work often examines how cultural policies shape artistic production and reception in regional contexts. Her scholarly contributions demonstrate a consistent focus on how social networks structure artistic worlds and how cultural practices evolve, particularly among younger populations. She has conducted extensive research on musical preferences and listening contexts among 15-25 year olds, as well as digital cultural practices among pre-adolescents. Her methodological approach frequently incorporates social network analysis to understand the structure of artistic communities and creative ecosystems. Co-head of the MISS master's degree program, Sociology Department, University of Toulouse - Jean Jaurès Researcher at the Interdisciplinary Laboratory for Solidarity, Societies, Territories (LISST) Dr. AZAM has established significant collaborations with researchers including Michel Grossetti, Ainhoa de Federico, and Jean-Pierre Rouch. Her research has been supported through various academic projects focusing on cultural policy, creative spaces, and youth cultural practices. She has contributed to major research initiatives examining the knowledge economy and creative regions, including the ACRE Report on Toulouse. Her work has important implications for cultural institutions, policymakers, and educators seeking to understand contemporary artistic practices and audience engagement in an increasingly digital and networked cultural landscape.
Peter Lucas Hulen is a Professor in the Music Department at Wabash College , where he has taught for nearly 25 years. His work bridges classical acoustic composition with experimental computer-generated electronic music, informed by his classical training and later shift toward digital techniques. Research interests include: Electronic music history Music technology pedagogy Digital synthesis methods (FM, subtractive, granular) Integration of acoustic and electronic sound Algorithmic composition Interdisciplinary applications His compositions explore: Microtonal scales using superparticular ratios Wireless performance interfaces Choral liturgy adaptation Cultural sound symbolism Speaker array design Temporal structure manipulation Recent works combine academic rigor with technical innovation: 2017: Homage and Refuge , Wobbly 2015: Organum IV 2014: Magnificat , Sitting 328b 2013: Les substances botaniques , Primitive 2012: Lamentationes Jeremiae I He developed a systematic electronic music curriculum including: History and Literature Computer Programming (Max/MSP) Performance Ensembles Theory and Composition
James Antony is an Assistant Professor in the Department of Psychology at California Polytechnic State University. He holds a Ph.D. in Neuroscience from Northwestern University and a B.A. in Biochemistry & Music from Lawrence University. Prior to his current role, he was an Assistant Project Scientist at the University of California, Davis and a C.V. Starr Postdoctoral Fellow at Princeton University. His research explores how memories persist over time, focusing on mechanisms like sleep-mediated consolidation, reactivation during wakefulness, and the influence of factors like surprise and semantic relatedness. He employs methodologies such as behavioral experiments, neuroimaging, and computational modeling. Antony has received notable awards including the 2019 Cermak/Corkin Post-Doc Award and recognition as a 2022 Rising Star by the Association for Psychological Science. His work spans topics including targeted memory reactivation, spatial gist extraction, and the neural signatures of surprise during naturalistic viewing. Recent studies highlight the role of sleep spindles in memory processing and the application of closed-loop stimulation techniques. His research has been published in journals like Neuron , Current Biology , and Science . Antony advises students on projects involving memory reactivation and learning strategies, reflecting his commitment to integrating undergraduate research into cognitive neuroscience inquiries.
Min-Yen Kan is an Associate Professor and Vice Dean of Undergraduate Studies at the National University of Singapore (NUS), with a focus on the Department of Computer Science. He earned his Ph.D., M.Sc., and B.S. in Computer Science from Columbia University. Associate Professor, NUS Department of Computer Science Vice Dean of Undergraduate Studies, NUS School of Computing His research spans Natural Language Processing , Large Language Models , Digital Libraries , and Information Retrieval , with applications in Human-Computer Interaction , Web Systems , and Recommendation Technologies . He leads the Web, Information Retrieval, and NLP Group (WING.NUS), driving projects in scholarly document analysis, dialogue systems, and AI ethics. Recent publications highlight his work on LLM alignment , multimodal deception detection , and evaluation frameworks . Key trends include ethical NLP, knowledge aggregation in vision-language models, and combating misinformation through AI. Scientific Awards: Best Paper Award, CIKM 2019 Distinguished Service Awards, ACL Vannevar Bush Best Paper Award, JCDL 2012 As a PhD advisor , his students have secured roles at institutions like Google and USTC. He also serves on the ACL Ethics Committee and as associate editor for Information Retrieval and JAIR .
Mark d’Inverno is a Professor of Computer Science at Goldsmiths, University of London, and holds visiting roles at the Artificial Intelligence Research Institute (Barcelona). He has served in senior academic leadership positions, including Pro-Warden roles overseeing international strategies and research initiatives. His work bridges AI with creativity, music, and education, leading interdisciplinary projects funded by EPSRC, AHRC, and the EU. He has supervised 12 PhD candidates and contributed to over 200 publications (books, chapters, papers, and conference presentations). Research focuses on AI ethics, creative agency, and music technology. Notable achievements include chairing major research committees (EPSRC, HKUGC) and the PRAISE project’s 'excellent' EU rating. Public engagements include BBC TV/Radio appearances and consultancy for AI-informed cultural projects like Sky Arts’ *The Computer says Show* (2016). Awards highlight his academic and industry impact, complemented by a 40-year career as a critically acclaimed jazz musician and band leader.
Dr. Denis Kalkofen serves as an Associate Professor at the Institute of Computer Graphics and Vision (ICG) at Graz University of Technology, Austria. His academic journey began with a Dipl.-Ing. (2004) from the University of Magdeburg, followed by a Dr. techn. (2009) from Graz University of Technology. University of Magdeburg - Dipl.-Ing. (2004) Graz University of Technology - Dr. techn. (2009) University of Michigan, Ann Arbor - Virtual Reality Laboratory member Stanford University - Visiting Assistant Professor at Computational Imaging Laboratory (2019) University of South Australia - Visiting Researcher at Wearable Computer Laboratory (2019) Dr. Kalkofen's research centers on developing visualization, interaction, authoring, and display technologies for Virtual and Mixed Reality environments, with particular emphasis on combining computer graphics and computer vision techniques to create comprehensible and accessible VR/MR experiences. His work spans situated visualization (addressing label placement and X-ray visualization), photometric rendering (recovering lighting properties for realistic AR), and content creation automation (leveraging existing data sources for AR content). His publication trends over the past 15+ years demonstrate consistent leadership in AR/MR research, evolving from foundational work on visualization techniques to current cutting-edge research in neural rendering, neuroadaptive systems, and industrial AR applications. Recent work shows increased focus on practical industrial implementations, error management in AR assembly, and multimodal learning applications. Best paper award for 'enRoute: Dynamic path extraction from biological pathway maps' (2012) Best short paper for 'TutAR: Augmented Reality Tutorials for Hands-only Procedures' (2018) Best paper for 'Tools for Teaching Mining Students in Virtual Reality' (2020) Honorable Mention for Best Paper for 'Adaptive User-Perspective Rendering' (2017) Dr. Kalkofen leads Team Kalkofen at ICG, supervising researchers including Peter Mohr, Shohei Mori, David Mandl, and Ana Stanescu. His team has secured significant funding for projects related to AR/VR content creation, visualization techniques, and industrial applications. They maintain strong collaborations with institutions including Stanford University, University of South Australia, and University of Michigan. Team Kalkofen operates within the Institute of Computer Graphics and Vision at TU Graz, focusing on three main research thrusts: situated visualization for AR, photometric rendering for realistic MR, and automated content creation for professional AR applications. The team maintains active partnerships with industry and academic institutions worldwide, contributing to the advancement of practical AR/MR technologies.
J. Adam Noah is an Associate Research Scientist in Psychiatry at the Yale School of Medicine , affiliated with the Brain Function Laboratory . His work combines computational systems, brain imaging, and virtual reality interventions to advance clinical and basic neuroscience research. Dr. Noah specializes in functional near-infrared spectroscopy (fNIRS) data acquisition and analysis, focusing on neural mechanisms underlying motor control, decision-making, and cognitive function . His recent studies explore applications of wearable neuroimaging in dementia screening , autism diagnostics , and creative cognition , utilizing machine learning algorithms for clinical prediction. His publications reveal trends in social neuroscience (eye contact studies), psychiatric biomarkers (psychosis classification), and neurotechnology development (mobile brain monitoring systems). Key collaborators include Dr. Joy Hirsch (neuroimaging) and Dr. James McPartland (autism research).
