جست‌وجوی استاد و پژوهشگر

Kevin Crowstonمشاهده پروفایل

استاد

• Information Systems
• Human-Computer Interaction
• Virtual Organizations
• +۵ مورد دیگر

Kevin Crowston is a Distinguished Professor of Information Science at Syracuse University's School of Information Studies (iSchool), where he examines how information technology enables new organizational forms through empirical studies, theoretical modeling, and system design. His work focuses on coordination-intensive processes in virtual settings, with significant contributions to citizen science, data science teamwork, and journalism transformation. Education A.B. in Applied Mathematics (Computer Science), Harvard University, 1984 Ph.D. in Information Technologies, MIT Sloan School of Management, 1991 Research Focus : Crowston investigates coordination mechanisms in human-AI collaboration, particularly through projects like Gravity Spy (combining citizen scientists with machine learning for gravitational wave analysis) and journalism innovation (e.g., ReelFramer for AI-assisted news-to-video translation). His framework addresses how intelligent systems reshape work design, knowledge production, and team dynamics in scientific and media contexts. Publication Trends : Recent articles (2024-2025) reveal three dominant threads: (1) Human-AI co-creation in journalism (deskilling/upskilling dynamics, creative tool adoption), (2) Citizen science evolution with AI (co-learning systems, lexical entrainment), and (3) Socio-technical governance of intelligent machines (control-accountability alignment, project archetypes). These reflect his central inquiry into how technology reconfigures work structures. Scientific Recognition ACM Distinguished Speaker Research Leadership : Crowston currently directs two major NSF initiatives: (1) HCC grant 21-06865 on intelligent support for non-expert information navigation, and (2) FW-HTF grant 21-29047 exploring human-technology collaboration in journalism. He spearheaded a Research Coordination Network establishing socio-technical frameworks for work in the age of intelligent machines, culminating in a special issue of Information, Technology & People . Collaborative Infrastructure : He co-leads the Gravity Spy citizen science ecosystem (integrating LIGO physicists, machine learning systems, and volunteers) and serves as co-editor-in-chief of Information, Technology and People , previously editing ACM Transactions on Social Computing . His MIDST platform research advances stigmergic coordination for data science teams.

• Multimodal Learning
• Multilingual NLP
• Vision-Language Models
• +۴ مورد دیگر

Desmond Elliott is an Associate Professor in the Natural Language Processing section at the Department of Computer Science, University of Copenhagen (UCPH). His research focuses on multimodal and multilingual models with specific emphasis on vision-language integration and tokenization-free NLP approaches. He teaches Bachelor and Master's level courses including Advanced Topics in Natural Language Processing (since 2019), Grundlæggende Data Science (since 2023), and previously Data Science (2021-2023). His research interests center on building and understanding multimodal and multilingual models , particularly exploring vision and language interactions through billion-parameter systems. Current work investigates cultural representation disparities in vision-language models, parameter-efficient captioning, and multimodal distributional semantics across diverse domains including food culture and medical imaging. His methodology emphasizes real-world applicability in non-English contexts and ethical considerations in multimodal systems. Elliott's recent publications (2025) demonstrate leadership in multimodal NLP, with significant contributions to vision-language pretraining, multilingual evaluation frameworks, and clinical NLP applications. His work spans theoretical advancements in model architectures and practical implementations addressing challenges in low-resource languages and domain adaptation. Best Long Paper Award at EMNLP 2021 Best Poster Award at COLING 2019 As an active educator, Elliott contributes to courses on Fair and Transparent Machine Learning and previously taught Information Retrieval. His research collaborations span international institutions with particular focus on European and non-English language contexts, reflecting UCPH's recognition as Europe's #1 institution for HCI research over the past decade.

• Algorithms
• Algorithmics
• Big Data
• +۷ مورد دیگر

Stephen Alstrup is a Professor in the Algorithms and Complexity section at the Department of Computer Science (DIKU), University of Copenhagen, Faculty of Science. His research bridges theoretical computer science with practical applications in modern computational challenges. His primary research interests include: Algorithm design and analysis Graph algorithms and data structures Big Data processing techniques Streaming algorithms and Internet distribution Theoretical foundations with practical implementations Alstrup's work demonstrates how theoretical algorithm research can lead to real-world applications, as evidenced by his development of Octoshape technology for large-scale Internet streaming. His research spans from fundamental theoretical problems to applications in Big Data, cloud computing, and information retrieval systems. He has published extensively with 93 research outputs including journal articles, conference proceedings, and books. His recent work focuses on graph spanners, semantic hashing, recommendation systems, and universal graph structures, showing continued productivity in theoretical computer science. Alstrup actively engages with industry and media, contributing to discussions about Big Data applications, technology innovation, and how businesses can collaborate with universities to access cutting-edge knowledge and funding opportunities. His work has been featured in 10 media contributions discussing practical applications of algorithms in education, municipal IT projects, and business innovation.

Ken Pfeufferمشاهده پروفایل

دانشیار

• Virtual Reality (VR)
• Augmented Reality (AR)
• Eye Tracking
• +۳ مورد دیگر

Ken Pfeuffer is an Associate Professor in the Department of Computer Science at Aarhus University, affiliated with the Faculty of Science. His research focuses on Human-Computer Interaction (HCI) , particularly in Virtual Reality (VR) , Augmented Reality (AR) , and Extended Reality (XR) systems. He leads projects like the Interdisciplinary Center for Extended Reality (ICXR) and the XCB Lab , exploring multimodal interaction techniques, eye tracking, and user authentication in immersive environments. His work emphasizes gaze-based interaction , multimodal input fusion , and user interface design for AR/VR applications. Recent studies investigate consumer behavior in virtual retail environments and the integration of touch, gaze, and gesture inputs for natural user experiences. Pfeuffer collaborates on adaptive UI toolkits and practical methods for mobile eye-tracking systems, prioritizing real-world usability and accessibility. Key contributions include Depth3DSketch for VR sketching, PinchCatcher for multi-selection, and EyeGuide for gaze-assisted 3D sketching. His research bridges theoretical HCI principles with industry applications, addressing challenges in immersion , accuracy , and user safety in XR systems.

Toine Bogersمشاهده پروفایل

مدرس پاره‌وقت

• Recommender Systems
• Information Retrieval
• Search Engines
• +۸ مورد دیگر

Toine Bogers is a Part-Time Lecturer at Aalborg University , affiliated with the Department of Communication and Psychology within the Faculty of Social Sciences and Humanities . He is a core member of the AI for the People research group. His work focuses on Recommender Systems , Information Retrieval , and Social Media Analysis , with particular emphasis on applications in talent search, leisure information needs, and multistakeholder evaluation. Research Interests: Recommender systems, information seeking behavior, collaborative filtering, human resources algorithms, and ethical evaluation frameworks. His work bridges technical innovation with societal impact, often addressing challenges in job matching, cultural heritage retrieval, and user-centric design. Awards: Best Paper Award at CHIIR 2021 Outstanding PC Member (2020) Best Reviewer (2020, 2018, and multiple years) Grants & Projects: PI of JobMatch (2020–2023): Developing job recommendation systems for unemployed individuals Co-PI of Flipping Information Studies (2017–2019): Integrating video lectures into problem-based learning Organized workshops at RecSys on topics like Recommender Systems in HR and ComplexEnvironments Labs/Teams: He leads research in the AI for the People group, emphasizing human-centered AI applications in recruitment, cultural heritage, and social media analysis.

Ivan Adriyanov Nikolovمشاهده پروفایل

استادیار

• Computer Graphics
• Computer Vision
• Augmented Reality
• +۶ مورد دیگر

Ivan Adriyanov Nikolov is an Assistant Professor at the Department of Architecture, Design and Media Technology within Aalborg University's Technical Faculty of IT and Design. He specializes in Computer Graphics, Computer Vision, and Augmented Reality, with a focus on 3D reconstruction techniques like Structure-from-Motion (SfM). His work bridges academic research and industrial applications, particularly in wind turbine blade inspection and educational technology. His educational background includes contributions to computer science education through innovative teaching methods. He has led projects like 'Drone Application for Pioneering Reporting in Wind Turbine Blade Inspection' (2017–2019) and 'Leading Edge Roughness - Wind Turbine Blades' (2015–2019), advancing drone-based inspection and 3D modeling for wind energy sectors. Research interests include synthetic data generation, environmental monitoring datasets (e.g., BrackishMOT, DigiWeather), and improving VR/AR user experiences. He has developed tools for dynamic lighting in pixel art games and multimodal guardian systems in VR. His datasets, such as Sewer Defect Point Clouds and Wind Turbine Blade SfM Reconstructions, are publicly available for academic use. He actively contributes to educational innovation, such as flipped classroom strategies to boost programming class engagement. His interdisciplinary approach spans computer graphics, AI-driven NPC interactions, and collaborative mixed-reality games for trust-building. Labs/Teams: Member of the Computer Graphics Group and Visual Analysis and Perception team at Aalborg University. Collaborates with industry partners on drone technology and environmental surveillance systems.

• Human-Computer Interaction
• Interaction Design
• Educational Technology
• +۴ مورد دیگر

Robb Mitchell is an Associate Professor at the University of Southern Denmark, affiliated with the Centre for Learning Computational Thinking and the Department of Design and Communication . His research focuses on the intersection of technology, design, and social interaction, emphasizing embodied learning, collaborative interfaces, and the ethical implications of digital tools. Mitchell explores how tangible and digital systems can enhance education, social connectivity, and creative expression through experimental designs. His work spans areas such as Human-Computer Interaction , Embodied Learning , and Collaborative Technologies , with a particular interest in fostering convivial interactions and addressing interpersonal gaps through design. Mitchell’s publications reflect a commitment to innovative methodologies, including participatory design, prototyping, and empirical studies of user behavior. Key themes in his research include: Designing tools for educational and social contexts Exploring the role of technology in everyday interactions Developing frameworks for sustainable and ethical technology integration While no explicit awards or grants are listed, Mitchell’s extensive publication record and involvement in interdisciplinary research initiatives highlight his contributions to the field. His work often bridges academic research and practical applications, aiming to create meaningful technological interventions in real-world settings.

Anders Bondeمشاهده پروفایل

دانشیار

• Musicology
• Sound Branding
• Media Psychology
• +۷ مورد دیگر

Anders Bonde is an Associate Professor at Aalborg University's Department of Communication and Psychology, within The Faculty of Social Sciences and Humanities. His research focuses on music analysis, sound branding, media psychology, and the interplay between music and audiovisual media. He employs both qualitative and quantitative methods, integrating diverse data into aesthetically informed frameworks. His work bridges musicology, media studies, semiotics, aesthetics, affective computing, and data visualization. Teaching responsibilities include courses in music theory, voice leading, sound branding, and epistemology across programs in Music, Communication, and Media Studies. He leads the Study Board for Art, Health, and Technology, overseeing programs in Music Therapy, Art and Technology, and Nordic master's programs in Visual Studies and Media Arts. Research projects include investigations into sound branding, audiovisual interaction effects, and multimodal meaning-making. Notable outputs include works on the aesthetics of ambiguity in 20th-century music, sensory atmospheres in retail contexts, and the effectiveness of non-musical sound branding. His work spans theoretical frameworks, empirical studies, and interdisciplinary collaborations. Recent articles explore interactive music visualization, sound branding conceptualizations, and the role of music in advertising. Media engagement includes commentary on sound branding strategies and its psychological impacts. Grants and collaborations reflect his commitment to bridging theoretical and applied research.

Stefanie Zollmannمشاهده پروفایل

دانشیار

• Visual Computing
• Augmented Reality
• Virtual Reality
• +۳ مورد دیگر

Stefanie Zollmann is an Associate Professor at the Department of Computer Science, Aarhus University. Her primary research focuses on Visual Computing, Augmented Reality, and Virtual Reality, with applications in immersive education and sports technology. She has contributed to advancements in 3D modeling, scene reconstruction, and hybrid XR systems. Her work spans technical innovations in virtual environments, including semantic-controlled rendering, panorama inpainting, and mobile sports coaching systems. She has also contributed to conference organization, serving as a Program Chair for IEEE VR 2024. Zollmann's recent publications address challenges in user localization for AR, immersive teaching via 360° storytelling, and hybrid sports spectator experiences. Her research emphasizes practical applications in education and sports, leveraging both hardware and software advancements. Collaborations include projects on situated sports coaching, mobile capture systems, and tabletop XR interfaces. While no awards are listed, her active participation in top-tier conferences underscores her scholarly impact.

Louise Barkhuusمشاهده پروفایل

استاد

• Social science studies of technology
• Privacy
• Qualitative methods
• +۷ مورد دیگر

Louise Barkhuus is a Professor at the IT University of Copenhagen, affiliated with the Theoretical Computer Science Center for Information Security and Trust. Her research spans across social science studies of technology, privacy, and human-computer interaction, with a particular focus on qualitative and quantitative methods in examining mobile social technologies. Her research interests include: Social science studies of technology and its societal implications Privacy concerns in digital environments, particularly in health contexts and contact tracing Human-computer interfaces with emphasis on gender differences and inclusive design Hybrid work technologies and the challenges of maintaining equitable collaboration Mobile social technologies and their impact on everyday life Professor Barkhuus's recent work shows a strong trend toward understanding the social dynamics of technology use in various contexts. Her publications over the last five years reveal a focus on hybrid work challenges, gender differences in computing education, privacy in health technologies, and the design of inclusive technological experiences. She has made significant contributions to understanding how people interact with technology in work, educational, and health contexts, with particular attention to the social and ethical implications of these interactions. Her notable scientific contributions include: Research on collocated distance as a fundamental challenge in hybrid work technologies Studies on gender differences in CS1 project group dynamics Investigations into privacy concerns around mobile COVID-19 tracing applications Work on designing for shared remote video experiences Professor Barkhuus has been actively involved in several significant research projects including DIREC: REWORK (2022-2024) focusing on digital research in Denmark, DIREC: SoftwareIn for teaching at scale (2021-2025), and research on encouraging grade school girls' interest in computer programming funded by Mozilla Corporation (2018-2019). She has also contributed to the academic community through media appearances discussing YouTube's impact on public domain content, generative AI regulation, and digital age verification policies. Her work bridges computer science with social sciences, creating meaningful insights into how technology intertwines with human experiences across various contexts including work, education, and healthcare.

Clara Charlotte Laimerمشاهده پروفایل

پژوهشگر

• IT and Learning Design
• Digital Learning
• Music Education Technology
• +۵ مورد دیگر

Clara Charlotte Laimer is a Researcher at the Department of Culture and Learning, Faculty of Social Sciences and Humanities, Aalborg University, Denmark. She is an active member of ILD-LAB – Research Lab for IT and Learning Design, where she contributes to innovative projects integrating digital technologies and AI into educational contexts, particularly in music education and ESG reporting. Her research focuses on IT and Learning Design , with an emphasis on digital learning , music education technology , and AI-enhanced inquiry methods . She works on developing interactive and digitally supported learning environments that empower both educators and stakeholders in diverse domains. The recent publications reflect a strong trend toward practical, interactive applications of digital tools in music teaching, using inquiry-based and technology-driven approaches. These works highlight interdisciplinary collaboration and a commitment to open-access, user-centered educational design. No scientific awards listed. Clara Charlotte Laimer participates in research projects and public engagement activities, such as presentations to private and public organizations. While no formal advising or grant leadership is mentioned, she collaborates on funded research initiatives, contributing to project outputs and dissemination efforts. She is affiliated with ILD-LAB – Research Lab for IT and Learning Design , a research environment dedicated to exploring the integration of information technology in educational practices through design-based research and interactive development.

Heidi Hautoppمشاهده پروفایل

دانشیار

• Visual Methods
• Design Approaches
• Hybrid Learning Formats
• +۵ مورد دیگر

Heidi Hautopp is an Associate Professor at the Department of Culture and Learning, Faculty of Humanities and Social Sciences, Aalborg University, Copenhagen. Her work integrates visual methods and design approaches in higher education and organizational contexts, with a focus on hybrid teaching formats through the Nordic Visual Studies and Art Education (NoVA) master's program. PhD from Aalborg University (2018-2022) on graphic facilitation Teaches IT, learning and organizational change (ILOO), Learning and change processes (LFP), and Communication and digital media programs Co-founder of the Danish Play Think Tank promoting creative approaches in education Her research examines how visual tools like graphic facilitation and video prototyping can drive educational innovation. Recent work explores AI image generation in design and hybrid PBL models for arts education. Publications span both empirical studies and methodological frameworks. Principal investigator in projects like Emergency AI and Sustainable Development Lab Active in conferences on networked learning and arts-based research Collaborates across disciplines including organizational development and sustainability

• Computational Social Science
• Urban Science
• Spatial Analysis
• +۳ مورد دیگر

Rossano Schifanella is an Associate Professor in Computer Science at the University of Turin and a Researcher at ISI Foundation's Data Science for Social Impact and Sustainability group. His interdisciplinary research spans machine learning, urban science, and computational social science, with a focus on modeling human behavior dynamics in urban contexts. Primary Affiliation: University of Turin Secondary Affiliation: ISI Foundation Research Focus: Data-driven urban sustainability, social behavior analysis, and spatial-temporal modeling His recent work explores: Urban mobility resilience during pandemics Equitable green space accessibility Socioeconomic-environmental conflict drivers Opioid use recovery dynamics in digital communities He specializes in: Geospatial data analysis Network science applications Interactive urban visualization Integration of social and environmental datasets

Carlos Mauricio Castano Diazمشاهده پروفایل

استادیار

• Media Psychology
• Cognitive Science
• Video Games
• +۷ مورد دیگر

Carlos Mauricio Castano Diaz is an Assistant Professor in the Department of Architecture and Media Technology at Aalborg University's Faculty of IT and Design, Campus Copenhagen. A licensed Psychologist with a Ph.D. in Learning Sciences, he brings twelve years of research expertise in Developmental Psychology, Cognitive Sciences, and Media Psychology, focusing on video games' cognitive impacts, stealth assessment methodologies, and internet culture phenomena. His academic credentials include a Ph.D. in Learning Sciences from Ludwig Maximilian University of Munich (2017), an MA in Cognition and Communication from the University of Copenhagen (2012), and a Psychology degree from Universidad de Antioquia (2010). He completed postdoctoral research in Games for Stealth Assessment at Aarhus University (2020). Castano Diaz's research centers on media psychology and cognitive science, investigating how commercial video games foster scientific reasoning and cognitive development. His interdisciplinary work bridges game design, computer science, and psychology to explore stealth assessment techniques, internet memes, mental health during crises like COVID-19, and games as artistic expression. He examines psychological principles of design, multimedia learning, and ethical implications of digital media, contributing to UN Sustainable Development Goal 4 (Quality Education). His publication trends reveal strong emphasis on game-based cognitive assessment in real-world contexts, mental health impacts of digital media during isolation, and socially conscious game design. Recent work demonstrates innovative applications of multiplayer games for scientific reasoning assessment and LGBTQ+ awareness initiatives, with growing focus on ecological validity and citizen science approaches. His scientific recognition includes a 2024 Best Paper Award, Cum Laude PhD distinction (2017), Outstanding Achievement in the Elite Network of Bavaria (2017), and prestigious Danish government scholarships. Castano Diaz leads the ongoing project 'Cosiness and Wholesomeness: A Psychological Perspective Through Games' and co-leads the AGAVE research initiative, while previously consulting on 'Stop! My Body!'. His teaching integrates multimedia-based learning, problem-based learning, and humor through methods like the ARIPE framework and Munich-method-box. He serves on IEEE and ACM SIGGRAPH committees, maintaining active collaborations across 48 countries as reflected in global pandemic research. His Media Technology research section at Aalborg University focuses on creating technology that enhances well-being among children and young people in Denmark, operating within the university's mission-driven framework for socially impactful innovation.

Jan Engbergمشاهده پروفایل

استاد

• Knowledge Communication
• Specialized Translation
• Dissemination and Popularization
• +۳ مورد دیگر

Jan Engberg - Academic Overview Jan Engberg is a Professor at the School of Communication and Culture, Aarhus University. His primary affiliation is within specialized communication and translation studies, focusing on knowledge dissemination across disciplines and languages. He holds a honorary doctorate (Dr. h.c.) and has a strong focus on bridging expert and non-expert communication in legal, scientific, and economic domains. Research Focus Engberg's research emphasizes how experts communicate complex knowledge to diverse audiences. Central themes include legal communication, translation practices, and multimodal knowledge transfer. His work spans legal systems, scientific discourse, and economic communication, with a particular interest in cross-linguistic challenges and digital recontextualization of expertise. Teaching & Pedagogy His teaching focuses on German business communication and specialized translation, particularly in legal and economic contexts. He emphasizes practical skills for international business contexts and economic understanding in multilingual settings. Key Projects SciDis (2022–2026): Studies recontextualization in digital scientific communication HUMANE-BIZCOMM: Models human-centric business communication TecCOMFrame (2015–2018): European framework for technical communicators' training Publications Engberg's publications address legal linguistics, translation ethics, and knowledge mediation. Recent works include encyclopedia entries on legal communication, contributions to EU policy analysis, and studies on multimodal science dissemination. Grants & Collaboration Engberg leads or collaborates on multiple EU-funded projects focusing on multilingualism in education, legal communication, and scientific dissemination. His work often involves interdisciplinary teams and practical applications in education and industry. Labs/Teams His research is embedded within collaborative networks like the MWissFo and SciDis projects, focusing on digital communication and knowledge transfer mechanisms.