Dean Cooper-Cunningham serves as Tenure Track Assistant Professor in the Department of Political Science at the University of Copenhagen , where they completed their PhD. Their research merges feminist and queer theory , critical security studies , and visual politics to examine power dynamics in international relations. PhD in Political Science, University of Copenhagen MSc Political Science, University of Copenhagen MA International Security, University of Sussex MA Hons International Relations, University of St Andrews Their work explores how powerful actors employ pro- or anti-queer agendas in foreign policy, evidenced in publications across International Feminist Journal of Politics , Security Dialogue , and International Affairs . Current research projects include Queering Atrocity Prevention , a policy initiative reimagining mass atrocity frameworks through queer ethical perspectives. Methodologically, they pioneered qualitative visual methods and discourse analysis , developing novel approaches like visual genealogy through archival research and digital meme analysis. Their forthcoming book introduces innovative visual methodologies for security studies. Erik Hoffmeyers Travel Grant Chancellor’s Masters Scholarship Michael Nicholson PhD Thesis Prize Education Award in Teaching Practice As Associate Editor for Critical Studies on Security and member of Bristol University Press's Feminist Reimaginings series, they shape critical security discourse. Their teaching emphasizes inclusive pedagogy , co-creation of knowledge, and critical methods in international relations and gender politics.
Elizabete Munzlinger is a Research Fellow (industrial PhD) at the IT University of Copenhagen specializing in Data Science, concurrently employed as an Industrial PhD candidate at GN Audio A/S (Jabra) since October 2023. Her work bridges academic research and industry applications in human-computer interaction and AI-driven interface design. Education: Master of Science in Computer Science and Electronic Engineering, Aeronautics Institute of Technology (ITA), completed May 2008. Thesis: "Multimodal and Multi-User Extensions of Graphical and Voice Interfaces based on Speech Technologies and Interactions Models." Bachelor in Computer Science, Universidade do Oeste de Santa Catarina (UNOESC), completed July 2005. Thesis: "The Use of Computers in the Domotic to Help Disabled People." Research Focus: Munzlinger pioneers cross-cultural interaction systems through multimodal interfaces, specializing in hand gesture recognition for virtual/hybrid meetings. Her work integrates machine learning with cultural anthropology to develop universally accessible communication tools, emphasizing accessibility for diverse user populations and voice interface optimization. Research Trends: Recent publications demonstrate a strategic shift toward globally applicable gesture vocabularies addressing cultural diversity in virtual collaboration. Her work synthesizes taxonomy classification, semantic similarity analysis, and foundation models to overcome cross-cultural communication barriers in distributed teams, with strong emphasis on practical Edge AI deployment. Scientific Recognition: Best Poster Extended Abstract Award (July 4, 2024) for gesture-based HCI research at international conference Grant Leadership: Principal Investigator for the Innovation Fund Denmark project "HAND: Identifying Universal Communal Hand Gestures for Virtual and Hybrid Meeting Interaction" (2023-2026; 36 months). This €1.2M initiative develops standardized gesture systems for global virtual collaboration, focusing on cultural adaptation and real-time implementation. Professional Engagement: Active contributor to CVPR 2024 tutorial on Edge AI deployment, demonstrating expertise in translating theoretical AI models into production-ready systems. International collaborations span Denmark, USA, and Brazil through the HAND project consortium.
Joanna Emilia Bergström serves as an Associate Professor in the Department of Computer Science at the University of Copenhagen, specializing within the Human-Centred Computing research section. Her academic work focuses on advancing human-computer interaction through innovative research in virtual reality and body-based user interfaces, where she applies rigorous experimental methods, investigates human perception and motor skills, and develops statistical models for interaction techniques. Dr. Bergström holds a D.Sc. (technology) degree, establishing her technical expertise in the field. Her educational background has prepared her for interdisciplinary research that bridges computer science with cognitive psychology and sensory science. Her primary research interests encompass human-computer interaction with particular emphasis on virtual reality systems and embodied interaction techniques. Bergström's work investigates how humans perceive and interact with digital environments, examining the intersection of cognitive psychology, motor control, and interface design. She employs experimental methodologies to study sensory illusions, haptic feedback systems, and the cognitive aspects of virtual environments. Her research often explores how virtual reality can create compelling illusions of presence and movement, with applications ranging from consumer VR to specialized training environments. This work has significant implications for designing more intuitive and effective virtual interfaces that align with human perceptual and motor capabilities. Analysis of her recent publication record (2024-2025) reveals a strong thematic focus on virtual reality interaction techniques, particularly examining presence phenomena, selection methods, haptic feedback mechanisms, and the cognitive aspects of virtual navigation. Her research demonstrates consistent interdisciplinary collaboration, as evidenced by co-authorship with researchers across different institutions and disciplines. The work spans theoretical contributions to HCI models and practical applications for consumer VR technologies, showing how academic research translates into real-world implementations. Bergström's publications appear in top-tier venues including CHI and IEEE Transactions on Haptics, indicating recognition within the international HCI community. Dr. Bergström actively collaborates with industry partners and academic institutions globally, as reflected in her international research projects and publications. Her work has gained significant attention beyond academia, with mentions in 12 news outlets and engagement across social media platforms including X (formerly Twitter), Facebook, and Bluesky. This broader impact demonstrates the relevance of her research to both technical communities and the general public. She is embedded within the Human-Centred Computing section at the University of Copenhagen's Department of Computer Science, contributing to both research and teaching activities. Her work connects with other research areas within the department including machine learning, image analysis, and software development, creating opportunities for cross-disciplinary innovation in human-centered technologies.
Knud Henriksen serves as a Part-time Lecturer at the Department of Computer Science (DIKU), University of Copenhagen, within the Image Analysis, Computational Modelling and Geometry research section. His academic profile integrates teaching and research in computer graphics, physics-based animation, and computer vision, contributing to DIKU's expertise in visual computing methodologies. His educational background comprises: Elektroingeniør (Electrical Engineering) Cand. Scient (Master of Science) Ph.D. Henriksen's research focuses on Computer Graphics, Physics-Based Animation, Computer Vision, and Mathematics, with current investigations into inverse kinematics using bone representations and quaternions. His work emphasizes improving computational efficiency and realism in character animation through mathematical modeling and geometric algorithms. Analysis of his 30 publications (2002-2008) reveals consistent innovation in animation algorithms, particularly in inverse kinematics, physics simulation, and spline-based modeling. These contributions bridge theoretical computer graphics with practical applications in gaming and virtual reality, demonstrating robust solutions for 3D interaction and character rigging. No scientific awards are documented in the available information. Henriksen has supervised graduate projects including a 2008 thesis on quaternion-based inverse kinematics. While specific grant details are absent, his research aligns with DIKU's interdisciplinary approach. He operates within the Image Analysis, Computational Modelling and Geometry section, which collaborates extensively with industry on visual computing challenges.
Jon Sporring is a Professor at the Department of Computer Science, University of Copenhagen, specializing in theoretical and applied image processing, stochastic geometry, and biomedical imaging. He leads research in mathematical and medical image analysis, computer graphics, and pattern recognition. Education: Ph.D. in Computer Science (1998), Master in Computer Science (1995), both from University of Copenhagen Affiliations: Pioneer AI section, Applied Geometry Lab, and Faculty of Science External Roles: Visiting professor at McGill University (2012-13), co-founder of DigiCorpus Aps (2012-16) His research integrates scale-space theory, statistical shape analysis, and advanced imaging techniques for applications in medical diagnostics, materials science, and neuroscience. Recent work focuses on 3D reconstruction, persistent homology for bias correction, and AI-driven biomedical analysis. Jon teaches computer science at all academic levels, currently offering courses in bioimaging, signal processing, and deep learning. He emphasizes collaborative projects with external partners and has held administrative roles including Vice-Chair for Research at DIKU. His 15 most recent publications reflect expertise in medical imaging, 3D modeling, and AI applications, with subfields spanning neurodegenerative disease analysis, mitochondrial ultrastructure, and multi-scale image processing. Articles demonstrate interdisciplinary impact across medicine, biology, and materials science.
Manfred Jaeger is an Associate Professor at the Department of Computer Science, Technical Faculty of IT and Design, Aalborg University. His research focuses on Artificial Intelligence , Bayesian Networks , and Graph Neural Networks , with significant contributions to probabilistic reasoning and relational learning. University: Aalborg University School: Technical Faculty of IT and Design Department: Department of Computer Science Jaeger's research explores inductive and probabilistic reasoning , statistical relational learning , and model checking . His recent work integrates heterogeneous graph neural networks with relational Bayesian network encodings to enhance reasoning capabilities in complex systems. Key trends in his publications include relational deep learning , probabilistic inference , and graph-based modeling . He has contributed to applications in social network community detection , reinforcement learning for MDPs , and latent variable models for graph learning . Jaeger collaborates on projects involving incomplete data analysis , modularization of complex tasks , and probabilistic logic . His datasets on multi-multi-instance learning networks are publicly available for research use.
Svante Eriksen is an Associate Professor in the Department of Mathematical Sciences at Aalborg University, Faculty of Engineering and Science. His research spans statistics, forensic genetics, and computational modeling, with a focus on Bayesian networks, graphical models, and statistical methods for forensic DNA analysis. He is actively involved in interdisciplinary research and software development for probabilistic genotyping and large-scale inference. Research Interests: Bayesian Networks and Graphical Models Statistical Methods in Forensic Genetics SNP and Y-STR Genotyping Data Mining and Knowledge Discovery Model Selection and Context-Specific Independence Software Development for Statistical Inference Recent Publication Trends (2024–2025): His recent work focuses on improving SNP genotyping accuracy using logistic regression models, developing efficient software (jti and sparta) for Bayesian network inference, and advancing forensic DNA analysis through dynamic SNP selection and probabilistic modeling of Y-STR databases. These contributions reflect a strong integration of statistical theory, computational efficiency, and real-world forensic applications. Scientific Contributions: Principal contributor to software packages for Bayesian network prediction. Developer of statistical models for forensic DNA data interpretation. Collaborator on projects involving digital learning analytics and student retention. Advising and Grants: While specific student names are not listed, the profile indicates involvement in PhD supervision (4 cases). He has participated in multiple externally funded research projects, including those supported by Novo Nordisk and Danish research councils, focusing on forensic DNA analysis, graphical models, and educational data mining. Research Groups and Collaborations: He is part of a strong research network in forensic genetics and statistical modeling at Aalborg University, collaborating with leading researchers such as N. Morling, M. M. Andersen, and T. Tvedebrink. His work is closely tied to the development and application of statistical software in both forensic and educational domains.
Lasse Thurmann Jørgensen is a postdoctoral researcher at the Department of Health Technology, Technical University of Denmark. He specializes in ultrasound imaging and biomechanics, with a focus on synthetic aperture ultrasound, pressure gradient estimation, and volumetric imaging techniques. His work involves advanced signal processing, computational fluid dynamics, and GPU-accelerated algorithms for real-time medical imaging applications. Research Interests : Ultrasound imaging, biomechanics, synthetic aperture ultrasound, pressure gradient estimation, computational fluid dynamics, volumetric beamforming. Key Collaborations : Collaborates with researchers in Denmark and internationally on ultrasound technology and biomedical engineering projects. Patents : Co-inventor of an ultrasound imaging apparatus patent addressing intravascular pressure measurement.
Søren Knudsen is an Assistant Professor at the Digital Design Department, IT University of Copenhagen and holds a Marie Curie Fellowship for postdoctoral work at the University of Copenhagen. He serves as Academic Director of the Human Data Interaction Lab. Positions: Assistant Professor, Marie Curie Postdoctoral Scholar Affiliations: IT University of Copenhagen, University of Copenhagen Key Roles: Academic Director, Human Data Interaction Lab His research centers on information visualization and human-computer interaction , particularly in face-to-face and online contexts. He explores how large-area displays and social media can enhance data comprehension and collaborative discussion. Notable work includes surveys on interactive visualization techniques for large displays, frameworks for data visualization education , and EMR-based algorithms for healthcare performance evaluation. His publications span journals like IEEE Transactions on Visualization and Computer Graphics and PLOS ONE . Awards and honors: Marie Curie Fellowship He collaborates across disciplines, with ties to healthcare analytics, educational technology, and computer science departments. His recent studies address challenges in visualization design handoff , proxemics , and ubiquitous data interaction .
Dario Parigi serves as Associate Professor, Head of Division, and Head of Research Group within the Department of the Built Environment at Aalborg University's Faculty of Engineering and Science. He leads the Sustainable Structures, Materials and Construction Research Group and maintains an active research profile with 43+ publications and 5 major projects including the active Instant Urbanism initiative. His work bridges structural engineering, sustainable design, and computational methodologies. Parigi's research spans timber reuse optimization , reciprocal structural systems , and multi-dimensional form-finding , with recent focus on carbon metrics for reused timber and kinetic adaptive facades. His fingerprint analysis reveals strong connections to Design Process (100%), Form Finding (83%), and Reciprocal Structures (64%), demonstrating consistent thematic focus across two decades of work. Analysis of his 15 most recent publications shows increasing emphasis on circular construction (2021-2022), with 60% addressing timber reuse challenges and optimization methodologies. Earlier works (2015-2018) established foundational frameworks for reciprocal structures and computational design tools, evolving toward integrated sustainability metrics in recent output. 5 million DKK research grant for timber reuse (2024) Det Obelske Familiefond funding for Utzon(x) Research-by-design Multiple media features in Danish press (2024) regarding sustainable construction research As Principal Investigator for projects like Lightweight structural elements and Skolernes Indeklima, Parigi secures significant research funding while mentoring junior researchers through 14 documented activities including conference presentations and workshop leadership. His Urban Tranquility project demonstrates interdisciplinary collaboration across environmental and structural domains. Parigi directs the Sustainable Structures, Materials and Construction Research Group where his team develops innovative approaches to structural reciprocity and material reuse. Current focus includes the Parigi Mechanism for adaptive facades and computational frameworks for minimal-waste timber layouts, with recent press coverage highlighting real-world applications of their research.
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.
Andres Masegosa is an Associate Professor at the Department of Computer Science, Aalborg University (AAU), within The Technical Faculty of IT and Design. He is actively involved in the DarkScience project (2022–present), focusing on metagenomic binning and microbial dark matter analysis. His research interests span Bayesian networks, machine learning, probabilistic graphical models, and educational methodologies in computer science instruction. Key research contributions include advancements in PAC-Bayes theory, genome representation learning, and cold posterior effects in Bayesian models. He has published extensively in top venues like Advances in Neural Information Processing Systems and Transactions on Machine Learning Research. His work often bridges theoretical contributions with practical applications in genomics and education. Masegosa leads the development of tools like InferPy for probabilistic modeling and has contributed to open-source projects such as the AMIDST toolbox. His educational research explores learning styles and active learning strategies, emphasizing live coding and programming exercises. Collaborations include interdisciplinary projects with microbiologists and data scientists, reflecting his expertise in computational methods for complex biological systems. His research portfolio demonstrates a strong focus on scalable probabilistic methods and their real-world applications.
Anne Marie Svane is an Associate Professor at the Department of Mathematical Sciences, Aalborg University, specializing in topological data analysis, stochastic geometry, and probability theory. Her research bridges theoretical mathematics with applied statistics, focusing on geometric functionals and computational methods. Education: PhD in Mathematics from Aarhus University. Her recent work explores cobordism obstructions, Gibbs processes, and applications in climate science and medical research. Key contributions include: Advancing kernel persistence methods for topological data analysis. Developing central limit theorems for spatial point processes. Modeling moisture dynamics in building physics with climate data. Investigating the interplay between digital algorithms and geometric structures. She collaborates on interdisciplinary projects like AI-Aalborg Intelligence and contributes to educational initiatives such as Girls' Day in Science.
Henning Pohl is a Tenure Track Assistant Professor in the Department of Computer Science at Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on Human-Centered Computing, emphasizing Virtual Reality (VR), Augmented Reality (AR), and subtle/casual interaction techniques. He explores how technology can be integrated into everyday life through wearable devices and contextual computing. Key research interests include body-based AR interfaces, mobile interaction design, and the ethical implications of AI-generated advice. Notable projects include developing tools like Hafnia Hands for VR research and investigating user perceptions of AI limitations. His work bridges HCI with practical applications in mental health support, collaborative platforms like OpenStreetMap, and playful AR environments. Recent publications highlight advancements in AR feedback during conversations, LLM denial mechanisms, and fear-inducing game design. His articles reflect a commitment to understanding human-technology relationships across psychological, social, and technical dimensions. Labs/Teams: Human-Centered Computing group at Aalborg University Advising: No formal student advisees listed in available texts.
Lisbeth Thorlacius serves as Associate Professor in the Department of Communication and Arts at Roskilde University, Denmark, with active committee roles at University of Southern Denmark (2017-2018) and Danmarks Akkrediteringsinstitution (2016-2017). Her research integrates communication theory with visual and digital media analysis, specializing in aesthetic concepts (camp/kitsch/taste), political self-personalization on social platforms, and communication process modeling. She examines how visual elements shape political narratives, particularly through Instagram's influence on leaders like Prime Minister Mette Frederiksen. Recent publications reveal a methodological shift toward applying classical frameworks (e.g., Jakobson's model) to contemporary digital phenomena, emphasizing practical applications in information design and campaign planning while bridging theoretical communication studies with real-world web design challenges. No scientific awards are documented in the provided materials. Thorlacius participated in the "Engaging Spaces" research project (2010-2011) exploring performance and interaction sites. Her public engagement includes 33 media contributions analyzing visual communication in contexts ranging from Hollywood biopics to ferry company websites, reflecting applied scholarship beyond academia. Departmental service includes Roskilde University committee memberships (2016-2017), demonstrating institutional leadership in communication education and accreditation processes.
