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.
Joe Lewnard serves as an Associate Professor with Tenure in the Division of Epidemiology at the UC Berkeley School of Public Health. He is also a Core Member of both the UC Berkeley/UCSF Augmented Graduate Group in Computational Precision Health and the Center for Computational Biology within UC Berkeley's College of Data Science and Society. His research group studies infectious disease transmission dynamics and control, with a focus on vaccine-preventable diseases. Lewnard earned his PhD in Epidemiology of Microbial Diseases from Yale University in 2017 and completed postdoctoral training at Harvard T.H. Chan School of Public Health. His undergraduate degree in Geography and Music is from McGill University (2013). His academic journey reflects a strong foundation in both quantitative methods and interdisciplinary approaches to public health challenges. His research spans infectious disease epidemiology with emphasis on pneumococcal disease, SARS-CoV-2, mpox, respiratory syncytial virus, and group A Streptococcus . He develops statistical methods for vaccine efficacy studies and investigates interactions between bacterial and viral pathogens in respiratory infections. His work combines mathematical modeling, large-scale epidemiological data analysis, and public health implementation science. Analysis of his recent publications reveals a strong focus on vaccine impact assessment across multiple disease systems, with particular attention to real-world effectiveness, indirect protection effects, and interactions between different vaccine-preventable diseases. His research increasingly integrates computational biology approaches with traditional epidemiological methods to address complex questions in infectious disease dynamics. Kenneth Rothman Prize for best paper published in Epidemiology (2017) Lewnard actively mentors a diverse group of students and postdocs across epidemiology, computational biology, and statistics. His Lewnard Group at UC Berkeley collaborates with Dr. Sara Tartof at Kaiser Permanente Southern California to co-lead the California Center for Outbreak Response, part of CDC's InsightNet network. His research is supported by multiple grants focusing on infectious disease modeling, vaccine effectiveness, and antimicrobial resistance. The Lewnard Group maintains active collaborations with public health agencies including the CDC and Kaiser Permanente, with research spanning from basic transmission dynamics to policy-relevant outbreak response. The group operates at the intersection of computational biology, epidemiology, and public health practice, with regular contributions to both methodological advances and practical disease control efforts.
Lars-André Tokheim is a Professor of Process Technology at the University of South-Eastern Norway (USN), specifically within the Faculty of Technology, Natural Sciences and Maritime Sciences at the Porsgrunn campus. He holds a PhD in Combustion from NTNU (1999) and has a BSc/MSc in Chemistry/Industrial Environmental Technology from Telemark University College. Academic roles since 2016: Professor at USN Previous roles: Associate Professor (2006-2015), Process Engineer (1998-2002) and Process Development Manager (2002-2006) at Norcem Brevik His research focuses on CO2 capture in cement production, electrification of industrial processes , and alternative fuel substitution . He supervises PhD and Master's students on projects like electrified calciners, calcium looping, and waste heat utilization. Recent publications address electrified calciner design for direct CO2 capture, fluidized bed technology for cement processes, and techno-economic analysis of CO2 capture systems. He collaborates with companies like Norcem, Heidelberg Materials, and Skagerak Energi. Key projects include: ELSE2: Electrical calciner systems for CO2 capture FIRCC: Fluidized bed particle classification Calcium looping with indirect heat transfer He also contributes to cultural projects through the Neil Young tribute band Harvest Moon and authored a book on Langesund's rock music history.
Rachid Cherif is a Teacher-Researcher at the University of Limoges, France, affiliated with the E3-TDVM team. His work bridges civil engineering, materials science, and musicology, with a focus on chloride ion transport modeling in cementitious materials and musical discourse analysis in Tunisian traditional and modern music. Key research areas: Concrete durability, multi-ion transport, recycled aggregates, AI applications in construction, ethnomusicology, and music pedagogy. Email: rachid.cherif@univ-lr.fr His publications (2010–2025) span 15+ articles on topics like: Chloride migration models with thermodynamic equilibria Predictive AI frameworks for recycled concrete properties Non-invasive corrosion diagnostics Ethnomusicological studies of Tunisian popular music Hygrothermal behavior of bio-based concretes Collaborations include researchers like Abdelkarim Aït-Mokhtar, Carmen Andrade, and Emilio Bastidas-Arteaga. No scientific awards or students are explicitly mentioned. His work also explores music education in Tunisian primary schools and interplay between authenticity and modernity in Tunisian music.
Dr. Vernon Hoeppner serves as Professor in the Division of Respirology, Critical Care and Sleep Medicine at the University of Saskatchewan, where he pioneered North America's first Directly Observed Therapy (DOT) program for tuberculosis treatment. His career spans clinical practice, provincial TB program leadership, and research focused on health equity among Indigenous populations in Saskatchewan and the Canadian prairies, emphasizing that "therapy is only as good as relationships and trust with patients and communities." His research interests center on Tuberculosis epidemiology , Respiratory medicine , and Health disparities , with particular focus on Indigenous health outcomes, treatment adherence, and social determinants of disease. Hoeppner's work integrates clinical practice with public health strategy, examining TB transmission dynamics, cost-effectiveness of interventions, and genomic epidemiology of Mycobacterium tuberculosis strains. Analysis of his 2014-2025 publications reveals evolving research trajectories: early work concentrated on TB transmission in Indigenous communities and treatment protocols, while recent studies expanded into genomic epidemiology (2024), health economics of latent TB treatment (2020), and climate-disease interactions in pandemic modeling (2025). His scholarship consistently addresses health inequities through both quantitative epidemiological methods and qualitative patient-centered approaches.
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.
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).
