جست‌وجوی استاد و پژوهشگر

• Digital Journalism
• Fact-checking
• Media Platforms
• +۷ مورد دیگر

Oscar Westlund serves as Professor at the Department of Journalism and Media Studies within the Faculty of Social Sciences at Oslo Metropolitan University (OsloMet), where he co-leads the OsloMet Digital Journalism Research Group. He maintains a secondary appointment at the University of Gothenburg and acts as Editor-in-Chief of Digital Journalism . His research spans digital journalism, fact-checking, platform dynamics, media management, news consumption, and mobile media. Westlund's scholarly focus centers on journalism safety in digital environments, sociotechnical dimensions of misinformation combat, and platform-induced challenges for news organizations. His work examines professional fragilities of journalists, epistemological foundations of data journalism, and legitimacy paradoxes in public service media-platform relationships. Current projects address disinformation countermeasures through the SCAM initiative (Source Criticism And Mediated Disinformation). Analysis of his 2022-2024 publications reveals dominant themes: journalism safety frameworks (33%), platform-journalism tensions (27%), and fact-checking as sociotechnical practice (23%). Key methodological approaches include cross-national comparative studies, epistemological analysis, and practice theory applied to digital news production. Westlund actively contributes to academic discourse through editorial leadership at Digital Journalism and special issue guest editing. His research group coordinates interdisciplinary collaboration on digital journalism studies, while the SCAM project develops practical methodologies for disinformation detection in democratic contexts. Recent work demonstrates increasing emphasis on mobile news ecosystems and journalist safety cultures. He co-leads the OsloMet Digital Journalism Research Group, which investigates platform impacts on news production, mobile journalism evolution, and epistemological shifts in data-driven reporting. The group maintains strong international partnerships, particularly with Swedish institutions through his University of Gothenburg affiliation.

• Machine Learning
• Deep Learning
• Neural Networks
• +۷ مورد دیگر

Robert Jenssen is a Professor in the Machine Learning Research Group at UiT The Arctic University of Norway and serves as the Director of Visual Intelligence , an 8-year Research Council of Norway-funded SFI center. His research focuses on solving societal challenges in healthcare, marine mapping, energy, and Earth observation through collaborations with industry and public stakeholders. Director, Visual Intelligence (SFI) Center Professor, UiT Adjunct Professor, Pioneer Centre for AI (University of Copenhagen) and Norwegian Computing Center His methodological expertise spans neural networks, information-theoretic learning, self-learning, and explainable AI (XAI). Recent work emphasizes multimodal learning, uncertainty estimation, and medical image analysis. Scientific awards include: Best Paper, Pattern Recognition Letters (2024) Dissertation Award, Norwegian AI Society (2023) Best Paper, Color and Visual Computing Symposium (2022) IEEE GRS Society Letters Prize (2013) Prize for Young Researchers, University of Tromsø (2007) He contributes to international leadership as a member of the Scientific Advisory Board (SAB) for the Max Planck Institute for Intelligent Systems, France's SequoIA AI Excellence Cluster, and Denmark's DIREC center.

• Documentation Studies
• Document Theory
• Paratext
• +۱۲ مورد دیگر

Roswitha Skare is a Professor of Documentation Science at the Department of Language and Culture, UiT The Arctic University of Norway, within the Faculty of Humanities, Social Sciences and Teacher Education. She is actively engaged in research and teaching, focusing on documentation studies, public libraries, archives, museums (LAM sector), digitalization, and film history. Her research interests include: Documentation and document theory Paratext and digital documents Public libraries and their role in society Libraries and social media Migration and refugee services in libraries Film history, especially silent films and early documentaries Cultural memory and Sámi cultural resilience Institutional convergence in cultural policy Her recent publications (2019–2025) reveal a strong focus on public libraries during and after the Covid-19 pandemic, the role of libraries in supporting immigrants and refugees, theoretical developments in document studies, and historical film analysis—particularly Robert Flaherty’s Nanook of the North . She frequently collaborates with scholars such as Andreas Vårheim, Noah Lenstra, and Sigrid Stokstad. Her work appears in journals like Journal of Documentation , Library & Information Science Research , and Proceedings from the Document Academy . Roswitha Skare teaches courses such as: MDV-1001: Multimediale dokumenter: Historie, teori og analyse MDV-1203: Bibliotek og formidling MDV-1207: Dokumentinstitusjoner og digitalisering MDV-1206: Prosjektoppgave i bibliotek- og dokumentasjonsvitenskap She supervises bachelor’s, project, and master’s students in library and documentation science. She is a member of the research group Engaging Conflicts in a Digital Era (ENCODE) and participates in projects such as LAMCOM – Libraries, archives, and museums in the community and SAMCOM - Sámi cultural centers as community and cultural resilience infrastructure , which explore the societal roles of cultural institutions and Indigenous resilience. No scientific awards are listed in the provided text.

• Computer Vision
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Habib Ullah is an Associate Professor in Data Science at the Norwegian University of Life Sciences (NMBU), Norway, where he conducts research at the intersection of computer vision and machine learning. He is affiliated with the Institute of Data Science under the Faculty of Science and Technology. He has previously held academic positions at COMSATS University Islamabad, Pakistan, and the University of Ha'il, Saudi Arabia, and served as a postdoctoral researcher at The Arctic University of Norway. Educational Background: PhD in Information and Communication Technology (Computer Vision), University of Trento, Italy (2011–2015) MSc in Electronics and Computer Engineering, Hanyang University, South Korea (2007–2009) BSc in Computer Systems Engineering, NWFP University of Engineering and Technology, Pakistan (2002–2006) Habib Ullah's research is primarily focused on computer vision and machine learning, with applications in aquaculture, agriculture, and human behavior analysis. He investigates underwater fish feeding sounds using audio classification, develops zero-shot learning models for recognizing unseen classes, and applies deep learning to detect stress in salmon via skin dot patterns. He also explores AI-driven controlled environment agriculture, leveraging sensors and automation for optimal crop growth. His work emphasizes practical AI solutions for real-world challenges in environmental and biological domains. The recent publications highlight a strong trend in leveraging deep learning for zero-shot and semi-supervised learning, particularly in computer vision tasks such as sea ice classification, crowd anomaly detection, and agricultural monitoring. His research spans remote sensing, biomedical signal processing, and human activity recognition, demonstrating interdisciplinary versatility. The keywords reflect a focus on robust feature representation, knowledge transfer, and model generalization. Scientific Awards and Funding: Industrial PhD grant 'Advancing Controlled Environment Agriculture AI' from The Research Council of Norway (Project number 354125, 2 million NOK, 2024) Team member (Coordinator-Participant) in the Battery Cell Assembly Twin (BatCAT) project funded by Horizon Europe (7 mEuro, 2023–2027) Development of an AI-Based Image Analysis System for Monitoring Plant Status (Funding: 1.8 mNOK, starting 2025) Habib Ullah actively supervises PhD projects and contributes to academic service through editorial and organizational roles. He has served as an Associate Editor for IEEE Access, Guest Editor for MDPI Remote Sensing, and Editor of the Springer book Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition, and Support (ML-SHEARS) . He has also been a Track Chair and Program Committee Member for several international conferences, reflecting his leadership in the academic community. His research is supported by significant grants and collaborative projects, indicating strong institutional and international engagement. He is involved in multiple research teams and projects, including the BatCAT project on battery manufacturing and AI applications in controlled environment agriculture with RIFT LABS AS. His lab work integrates deep learning, sensor fusion, and data analytics for environmental and biological monitoring systems.

• Sociology
• Consumer Behavior
• Food Culture
• +۵ مورد دیگر

Annechen Bahr Bugge is a sociologist and Researcher I at Consumption Research Norway (SIFO), Oslo Metropolitan University. Her work focuses on food culture, culinary heritage, and sustainable consumption patterns, with particular emphasis on Norwegian dietary traditions and their evolution from the 16th century to present day. PhD in Sociology (2005) from Norwegian University of Science and Technology (NTNU) Current leader of FoodStories project (2025-2028) examining Norwegian food heritage Previously led FoodLessons project (2021-2024) connecting culinary history with future food development Her research explores: dietary transitions, plant-based diets, food policy interventions, and the sociocultural dimensions of food consumption. She has published extensively on Norwegian food culture, including the book Fattigmenn, tilslørte bondepiker og rike riddere (2019) and upcoming Food Cultures of Norway: Cuisines, Customs, and Issues (2025, co-authored with Henry Notaker). Recent publications focus on: food heritage revitalization, sustainable diets, retail interventions for healthier choices, and digital marketing influences on youth consumption patterns. Her work combines historical analysis with contemporary food challenges to inform future sustainable food systems. For a complete overview of her research and publications, see her Cristin profile: Cristin Profile

Behzad Alaeiمشاهده پروفایل

دانشیار

• Structural Geology
• Sedimentary Basin Analysis
• Fault Zone Architecture
• +۶ مورد دیگر

Behzad Alaei serves as an Associate Professor in the Section for Study of Sedimentary Basins within the Department of Geosciences at the University of Oslo's Faculty of Mathematics and Natural Sciences. His office is located in room K38 of the Geology Building at Sem Sælands vei 1, 0371 Oslo, with a professional email contact at behzad.alaei@geo.uio.no. Dr. Alaei maintains an active research profile with publications spanning from 2005 to the present, demonstrating his ongoing contributions to geological sciences. Dr. Alaei's research spans multiple critical areas within structural geology and sedimentary basin analysis, with particular expertise in fault zone architecture, seismic interpretation techniques, and CO2 storage site assessment. His work bridges theoretical geological concepts with practical applications in petroleum geology and carbon sequestration. A significant portion of his research focuses on the Norwegian Barents Sea region, where he has conducted extensive studies on normal fault systems and their geometric characteristics. His recent work increasingly integrates machine learning and deep learning approaches with traditional geological analysis, reflecting the evolving nature of geoscience research methodology. The analysis of Dr. Alaei's publication record from 2018-2024 reveals a strong thematic continuity in fault characterization research, with progressive incorporation of advanced computational methods. Early publications focused primarily on traditional structural analysis of fault systems in sedimentary basins, while more recent work demonstrates increasing integration of machine learning techniques for fault detection and characterization. A notable trend is the application of these geological insights to practical challenges in carbon capture and storage, particularly regarding fault risk assessment for CO2 storage sites in the North Sea region. His collaborative work with Anita Torabi appears consistently throughout this period, suggesting a strong research partnership. Dr. Alaei maintains an active research program with multiple ongoing projects related to sedimentary basin analysis and fault characterization. His work appears to involve significant collaboration with both academic and industry partners, particularly in the context of CO2 storage research. While specific grant details aren't provided in the available information, his consistent publication record across multiple high-impact journals suggests successful funding of his research activities over the past two decades.

Ali Ramezani-Kebryaمشاهده پروفایل

دانشیار

• Machine Learning
• Deep Learning
• Federated Learning
• +۹ مورد دیگر

Ali Ramezani-Kebrya is an Associate Professor with tenure in the Department of Informatics at the University of Oslo (UiO), where he leads research in machine learning theory. He holds dual Principal Investigator roles at the Norwegian Center for Knowledge-driven Machine Learning (Integreat) and SFI Visual Intelligence, and is an active member of the European Laboratory for Learning and Intelligent Systems (ELLIS) Society. His service includes Area Chair positions for NeurIPS and AISTATS, and Action Editor for Transactions on Machine Learning Research. His research focuses on theoretical foundations of deep learning with emphasis on understanding input data distribution encoding in neural network layers. Key themes include minimizing statistical risk under resource constraints, addressing distribution shifts in distributed settings, and developing practical tools for robust federated learning. Current applications span emotion recognition, marine data analysis, and neuroscience, reflecting his commitment to real-world machine learning challenges as evidenced by his FRIPRO-funded Machine Learning in Real World (MLReal) project. Recent publication trends reveal three dominant threads: (1) label/covariate shift mitigation in distributed systems through entropy regularization and density ratio estimation; (2) communication-efficient optimization via layer-wise quantization and adaptive compression techniques achieving 150% speedups; and (3) robustness guarantees against tailored attacks and distribution shifts. These works consistently bridge theoretical bounds with empirical validation across domains from GAN training to federated settings. Scientific recognition includes: FRIPRO Grant for Early Career Scientists (2025) for MLReal project SFI Visual Intelligence Spotlight Publication award (2023) for federated learning work He actively mentors 11 graduate students across Oslo and Tromsø universities, with recent PhD placements at Apple and NVIDIA. Current grant portfolio features the FRIPRO Early Career award and leadership roles in two major Norwegian research centers. His lab maintains strong industry collaborations through Vector Institute and EPFL, with recent hiring for PhD and postdoc positions in physics-informed machine learning.

Trond Waageمشاهده پروفایل

استاد

• Visual Anthropology
• Migration Studies
• Conflict and Post-Conflict Societies
• +۳ مورد دیگر

Trond Waage is a Professor in the Department of Social Sciences at UiT The Arctic University of Norway , specializing in Visual Anthropology . His research focuses on migration patterns in Sub-Saharan Africa, particularly in Cameroon, the Central African Republic, and Mali, while also exploring the intersection of visual methods with ethnographic research. Active in collaborative visual research with African communities Member of the War and Peace Dynamics research group Co-founder of the Sahel on Sahel research initiative Research Interests include: Migrant integration in urban African contexts Conflict dynamics in the Sahel region Participatory visual methods for ethnographic knowledge production His recent work has examined Boko Haram's impact on youth communities and the role of collaborative filmmaking in documenting post-conflict resilience. Professor Waage frequently collaborates with researchers across institutions in Norway and Africa to explore cultural translation and visual epistemology. He serves as: Editorial contributor to the Journal of Anthropological Films Supervisor in Master of Philosophy in Visual Anthropology program Co-developer of Visual Anthropology curricula in Niger

• Visual Culture
• Media Studies
• Digital Humanities
• +۳ مورد دیگر

Nina Lager Vestberg is a Professor of Visual Culture at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Art and Media Studies. She leads the Media, Data, Museums research group, focusing on labor, systems, and infrastructures in visual culture. Her research examines photographic technologies and digitization processes, particularly their roles in archives and cultural memory. Education Bachelor’s in Photography and Multimedia (UK) Master’s and PhD in Art History (Birkbeck, University of London) Research Interests Digitization’s impact on visual archives Photographic technologies from pre-photography to post-digital eras Labour and intermediation in visual culture Cultural memory and national imagery Teaching Media Theory and Media Culture Research Design in Film and Media Studies Visual Culture across BA and MA programs Awards & Recognition Notable for her 2023 monograph Picture Research (MIT Press) Recipient of grants and fellowships for interdisciplinary projects Outreach & Advocacy Founded campuslivet.substack.com , a Norwegian academic newsletter Public lectures on digital museums, platformization, and ecological media impacts Labs & Teams Leads the Media, Data, Museums research group at NTNU Collaborates internationally on projects like the Oxford Photo Archives initiative

Benjamin Ricaudمشاهده پروفایل

دانشیار

• Machine Learning
• Graph Signal Processing
• Explainable AI
• +۳ مورد دیگر

Benjamin Ricaud is an Associate Professor and Group Leader in Machine Learning at UiT The Arctic University of Norway's Department of Physics and Technology. His core affiliations include membership in the Machine Learning Group, Visual Intelligence center, and co-directorship of the Digital Technology Innovation Lab focused on Arctic-region tech startups. He also co-chairs the annual Northern Light Deep Learning conference. Ricaud's research spans: Fundamental ML : Graph signal processing, explainable AI, and generative models Applications : Microfossil classification, medical diagnostics (retinal aging), drug analysis, and climate data interpretation Emerging domains : Self-supervised learning and biological data analysis using Raman spectroscopy His recent publications (2020-2025) cluster in three domains: Graph ML methodologies (35%) Biomedical/biological applications (40%) Geoscience/climate informatics (25%) with consistent focus on interpretability and real-world data challenges. Teaching includes Image Processing (FYS-2010), Pattern Recognition (FYS-3012), and Machine Learning (FYS-2021). He leads outreach initiatives developing AI exhibits for Tromsø Science Centre.

Elisabeth Oxfeldtمشاهده پروفایل

استاد

• Nordic Literature
• Orientalism
• Postcolonialism
• +۸ مورد دیگر

Elisabeth Oxfeldt is a Professor of Scandinavian Literature at the University of Oslo's Faculty of Humanities, Department of Literature, Area Studies and European Languages. Specializing in Danish and Norwegian literature from the 19th to 21st centuries, she examines cultural narratives through postcolonial and orientalist frameworks with particular focus on guilt discourse in Nordic contexts. Her educational background includes a Ph.D. in Scandinavian Literature from U.C. Berkeley (2002), M.A. in Scandinavian Literature (1996), and B.A. in French Literature (1988). This interdisciplinary foundation informs her transnational approach to Nordic literary studies. Oxfeldt's research centers on Scandinavian narratives of guilt and privilege within globalization, exploring how Orientalism, postcolonialism, and (post)nationalism manifest in literature and visual media. Her work critically engages with Hans Christian Andersen adaptations, war literature, travelogues, and literary activism, revealing tensions between Nordic self-perception as egalitarian societies and historical complicity in colonial structures. She frequently analyzes word-image relationships and adaptation processes across media. Publication trends show sustained engagement with postcolonial critique since her 2005 monograph Nordic Orientalism , evolving toward contemporary analyses of activist voices and guilt narratives. Recent edited volumes address literary rights struggles (2024) and ecological perspectives in Nordic literature (2023), demonstrating expanding interdisciplinary scope while maintaining core focus on representation and power dynamics. Awards and honors: Member of Det Danske Akademi (The Danish Academy) Advising and grants information was not specified in source materials, though her leadership of major research projects suggests significant supervisory and funding acquisition activities. Teaching responsibilities include courses on Nordic literature after 1800, Norwegian world literature, and literary activism. Oxfeldt co-leads the DINO (Diversity in Nordic Literature) research group and previously participated in ECODISTURB. Her current projects include 'Scandinavian Narratives of Guilt and Privilege in an Age of Globalization' (ScanGuilt) and 'Norwegian Romantic Nationalisms' (NORN), examining historical and contemporary constructions of Scandinavian identity through literary lenses.

Haley De Korneمشاهده پروفایل

استاد

• Applied Linguistics
• Multilingual Education
• Language Revitalization
• +۷ مورد دیگر

Haley De Korne is a Professor at the University of Oslo's Institute for Literature, Area Studies and European Languages within the Faculty of Humanities. Her academic work spans the intersections of linguistics, education, and anthropology, focusing on multilingual education contexts with particular attention to minoritized and indigenous languages. Dr. De Korne holds a PhD in Educational Linguistics from the University of Pennsylvania, an MA in Applied Linguistics from the University of Victoria, and a BA (Hons) in Combined Social Sciences from Durham University. Her academic journey reflects a strong foundation across multiple disciplines that inform her interdisciplinary approach to language research. PhD Educational Linguistics, University of Pennsylvania, USA MA Applied Linguistics, University of Victoria, Canada BA Hons Combined Social Sciences, Durham University, UK Her research interests focus on critical language awareness among teachers, social change imaginaries in multilingual regions, and pedagogies for language reclamation. She specializes in minoritized languages in education, multilingual education policy and pedagogy, language politics, indigenous language reclamation & revitalization, and language ideologies, with specific expertise in Isthmus Zapotec (Mexico) and Anishinaabemowin (US & Canada). Her methodological approach combines ethnography and interactional sociolinguistics within linguistic anthropology. Analysis of Dr. De Korne's recent publications reveals a consistent focus on language revitalization, particularly examining how educational contexts can support or hinder minoritized language maintenance. Her work increasingly addresses global North-South perspectives on language education, with attention to place-based pedagogy and critical language awareness. A significant thread throughout her research examines translanguaging practices and how they challenge traditional monolingual approaches to language education. Her scholarship demonstrates strong community engagement, particularly with Zapotec-speaking communities in Mexico. Dr. De Korne serves on the editorial board of Multilingua - Journal of Cross-cultural and Interlanguage Communication (2023-2025) and is an active member of the Norwegian Academy for Young Researchers (2021-2025). She also chairs the American Association of Applied Linguistics Committee for Online Education and Outreach Webinar subcommittee. Member, Norwegian Academy for Young Researchers (2021-2025) Editorial board member, Multilingua Journal (2023-2025) Chair, AAAL Committee for Online Education and Outreach (2023) Partner, Multilingualism in Transitions Research Project (2021-2025) Affiliated researcher, MultiNor Research Group At the University of Oslo, Dr. De Korne teaches courses including MULTI 4150 Project-based research in multilingualism, NOAS 4102 Additional language learning in socio-cognitive and sociocultural perspectives, and several linguistics courses on language acquisition, multilingualism, and research methods. She also leads PhD courses on communication in multilingual workplaces and revitalization of indigenous and minority languages. Her current research projects include FOSTERLANG (Indigenous language resilience), Language and culture maintenance in Wilamowice, and Linguistics and Sustainability.

Haakon Sundbøمشاهده پروفایل

مدرس ارشد

• Multimedia Technology
• E-Learning
• Photography
• +۱۶ مورد دیگر

Haakon Sundbø is a Senior Lecturer at the Department of Information and Communication Technology, University of Agder. He teaches courses such as Computer Science (DAT100), Multimedia Design (DAT104), Web Publishing (DAT110), Visual Design (DAT222), Sound Engineering (DAT228), ICT and E-learning in Vocational Subjects (PED978), and Didactic Use of Digital Tools (MM903). His academic responsibilities also include guest lecturing and supervision in ICT Project (DAT215), Photography (DAT227), Video (DAT229), Bachelor's Project (DAT303), Web and Online Knowledge (MM901), Remote Operated Vehicles (MM202), Interaction Design (MM403), and Technology for Teachers (TEKPED60). Materials, Energy and Nanotechnology (BSc, University of Oslo) Multimedia Technology and Design (BSc, University of Agder) Multimedia and Educational Technology (MSc, University of Agder) Haakon's research focuses on lifelong learning, e-learning platforms, interaction design, user experience, artificial intelligence in education, augmented reality, virtual reality, and digital competence development. He has contributed to projects like Decentralized Competence Development (DEKOMP), UiA Consense, and drone technology research at University of Agder. His recent publications analyze AI integration in teaching, digital frameworks for schools, screen usage guidelines, and collaborative learning networks. He also leads a research group on Multimedia and E-learning, emphasizing flexible digital resources and practical technology adoption in educational contexts.

• Industrial Ecology
• Material Flow Analysis
• Urban Metabolism
• +۵ مورد دیگر

Daniel Beat Müller serves as Professor at the Industrial Ecology Programme within the Department of Energy and Process Engineering at the Norwegian University of Science and Technology (NTNU), Trondheim. His office is located at Realfagbygget Gløshaugen (E4-120) with contact details daniel.mueller@ntnu.no and +4791897755. His research centers on analyzing human needs in relation to material/energy flows and environmental impacts, with two primary focus areas: (i) urban evolution and associated material flows for managing building/infrastructure stocks, and (ii) national/global metal cycles to identify supply constraint reduction strategies. His methodology integrates design, modeling, and decision-making through transdisciplinary stakeholder engagement. Müller teaches Material Flow Analysis and Systems Analysis of the Built Environment for Industrial Ecology and Civil Engineering Master's students. His research outputs demonstrate strong trends in circular cities, critical mineral management, and urban metabolism, with recent publications emphasizing building information modeling, electric vehicle battery systems, and phosphorus cycling. His work consistently addresses resource criticality within energy transition contexts. As (ad interim) chair of the International Society of Industrial Ecology’s MFA-ConAccount section, he contributes to methodological standardization. He previously served on the U.S. National Research Council’s Committee on Defense Stockpiles and remains active in Switzerland's National Research Programme 65 "New Urban Quality". Müller supervises numerous Master's and doctoral students, with thesis topics spanning lithium-ion battery recycling, building stock dynamics, and urban resource flows. His projects frequently involve industry collaboration for practical implementation of material stewardship strategies.

• Music Technology
• Music Psychology
• Embodied Music Cognition
• +۵ مورد دیگر

Alexander Refsum Jensenius is a Professor of Music Technology and Director of the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo. He also leads the fourMs Lab and co-founded the MishMash Centre for AI and Creativity. His work bridges musicology, psychology, and technology, focusing on embodied music cognition, human motion analysis, and creative applications of AI. Notably, he pioneered research on air guitar motion and human micromotion through projects like the Oslo Standstill Database . Educated at the University of Oslo (BA in Music and Mathematics, MA in Musicology) and Chalmers University of Technology (MSc in Applied IT), Jensenius holds a PhD in Music Technology from UiO. He has held visiting researcher roles at UC Berkeley, McGill University, and KTH. Leadership roles include Department of Musicology Head (2013–2016) and Steering Committee Chair for the International Conference on New Interfaces for Musical Expression (NIME, 2011–2022). Research interests span music-related body motion, AI in creative contexts, and open research practices. Key contributions include the Music Moves and Motion Capture MOOCs, the Musical Gestures Toolbox software, and monographs like Sound Actions and Sonic Design . His work emphasizes interdisciplinary collaboration, with projects addressing ventilation systems' acoustic properties and cell culture vibrational effects. Awards include the European Open Data Champion recognition. He advocates for open science and maintains extensive digital archives of research materials, emphasizing institutional web pages as critical research infrastructure.