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Morten Roed FrederiksenView profile

Assistant Professor

• Socially assistive robots
• Human-robot interaction
• Reinforcement learning
• +3 more

Morten Roed Frederiksen serves as an Assistant Professor in the Data, Systems, and Robotics department at IT University of Copenhagen, where he leads research at the intersection of robotics and human-centered applications. His work focuses on developing socially assistive robots with particular emphasis on therapeutic applications for children. Position: Assistant Professor Institution: IT University of Copenhagen Department: Data, Systems, and Robotics Research Focus: Socially assistive robotics Dr. Frederiksen's research centers on human-robot interaction with specialization in affective robotics and context-aware systems. His work explores how robots can understand physical context and adapt behaviors accordingly, particularly focusing on emotional engagement strategies and anxiety reduction in children. The research combines reinforcement learning techniques with context comprehension to create more effective socially assistive robots that can respond appropriately to human emotional states and environmental conditions. Analysis of his publication trends reveals a strong focus on therapeutic applications of pocket-sized robots for children with anxiety disorders. His recent work (2023-2025) demonstrates increasing sophistication in context-guided behavior adaptation frameworks, with particular attention to tactile comfort mechanisms and emotional expressiveness. The research trajectory shows progression from foundational context recognition (2019-2021) to applied therapeutic implementations (2022-2025), with growing emphasis on physiological response measurement and age-specific engagement strategies. Dr. Frederiksen has secured significant research funding through multiple competitive grants: DEEP Project (2022-2024): Funded by Danmarks Frie Forskningsfond, focusing on deep neural network based physical response prediction AffectaPocket (2025-2026): Funded by Innovation Fund Denmark, developing anxiety-reducing pocket robots for children University of Southern California Research Stay (2019-2020): Funded by Stibo-Fonden His research has received media attention, including coverage in Danish media regarding the potential of social robots to help children with anxiety. The work has been referenced across multiple academic platforms including Mendeley and social media, indicating growing impact in both academic and public spheres.

Anders Riddersholm BargumView profile

Researcher

• Virtual Reality
• Artificial Intelligence
• Voice Conversion
• +3 more

Anders Riddersholm Bargum is a Researcher at Aalborg University's Technical Faculty of IT and Design , affiliated with the Department of Architecture and Media Technology . His work spans virtual reality, artificial intelligence, and advanced audio signal processing. Research Focus: Virtual Reality immersion, AI-driven voice conversion, and spatial audio mixing. Collaborations: Active in international networks for digital audio effects and sound computing. Key Publications (2025-2022): Explored AI speech synthesis in VR (2025), non-parallel voice conversion frameworks (2024), and spatial audio design principles (2022). Research trends emphasize deep learning integration, signal alignment techniques, and immersive audio environments. Technical Contributions: Developed differentiable all-pass filters for phase response estimation and optimized voice conversion systems at high sampling rates. His Virtual Reality research includes studies on avatar realism and social presence through synthetic speech.

Ferdinand KuemmethView profile

Professor

• Experimental Condensed Matter Physics
• Quantum Computing
• Quantum Devices
• +7 more

Ferdinand Kuemmeth is Professor in Experimental Condensed Matter Physics at the Niels Bohr Institute (NBI), Faculty of Science, University of Copenhagen. He has been instrumental in building the Center for Quantum Devices, an excellence center established from 2012-2023 by the National Danish Research Foundation. Kuemmeth also founded QDevil, a quantum electronics hardware company, in 2016, where he serves as CTO, and joined Quantum Machines as Principal Scientist in 2022. Education and Career: Ph.D. in Physics, Cornell University (2007), under Prof. Daniel C. Ralph Postdoctoral Fellow with Prof. Charles Marcus, Harvard University (2007-2010) Research Associate, Harvard University (2010-2012) Associate Professor, Niels Bohr Institute (2012-2022) Professor, Niels Bohr Institute (2022-present) Kuemmeth pioneered research on spin-orbit coupling in nanostructures and leads a research group focused on semiconducting and superconducting quantum devices. His work spans quantum dots, spin qubits, superconducting resonators, and encoded qubits, with particular emphasis on condensed matter quantum transport measurements and solid-state qubit development. His innovative low-temperature techniques have advanced quantum science globally, recognized by the 2024 Technology Transfer Prize of the German Physical Society. Kuemmeth's research bridges fundamental physics with practical quantum technology applications, making significant contributions to the quantum computing field. His recent publications (2023-2025) reveal a strong progression toward sophisticated quantum hardware implementations, particularly addressing measurement techniques, qubit control systems, and error mitigation strategies essential for scalable quantum computing. The research demonstrates increasing sophistication in quantum dot device engineering and quantum information processing. Scientific Recognition: Technology Transfer Prize 2024 of the German Physical Society SCIENCE business award (2019) Princeton University Dicke Fellowship (2007) Fellowships from German National Merit Foundation and Cusanuswerk (2000) Kuemmeth has successfully leveraged support through the European Innovation Council and Innovation Fund Denmark to grow QDevil into an internationally trusted quantum technology partner. His work demonstrates exceptional impact across academic research and industrial quantum technology development, with 59 research outputs and 51 press/media mentions reflecting his significant contributions to the field. At the Niels Bohr Institute, Kuemmeth leads cutting-edge research in quantum hardware development, particularly focusing on semiconductor-based quantum systems. His group's work on quantum transport measurements and solid-state qubits places them at the forefront of quantum computing research, with practical applications advancing the global quantum technology ecosystem.

Liridon AlitiView profile

Researcher

• Chemical Production Engineering
• Oil Droplet Engineering
• Produced Water Engineering
• +5 more

Liridon Aliti serves as Research coordinator for produced water management at the Danish Offshore Technology Centre, Laboratory for Off-Shore Production Sciences, Technical University of Denmark (DTU) in Kgs. Lyngby, Denmark. With research output spanning petroleum engineering and environmental analysis, Aliti focuses on advanced chemical treatment methodologies for offshore production systems. Research interests prominently feature chemical production engineering (100%), oil droplet stability (68%), and produced water management (55%), with specialized expertise in capillary electrophoresis applications, oil-in-water treatment optimization, and environmental impact assessment of production chemicals. This work addresses critical challenges in offshore oil and gas operations including corrosion inhibition, chemical quantification, and biodiversity preservation. Recent publications (2023-2025) demonstrate a cohesive research trajectory centered on electrophoretic analysis of production chemicals, revealing strong interdisciplinary connections between petroleum engineering, environmental science, and analytical chemistry. Key trends include methodological advancements in oil-water partitioning coefficient estimation, optimization of chemical treatment processes, and emerging investigations into offshore renewable energy interactions. Aliti actively supervises student research as evidenced by the 2023 microfluidics project on oil droplet stability, while maintaining robust industry engagement through conference presentations at the Produced Water Club meetings and Oilfield Chemistry Symposium. These activities facilitate knowledge transfer between academic research and operational practices in offshore production. The Laboratory for Off-Shore Production Sciences at the Danish Offshore Technology Centre provides specialized infrastructure for experimental work on produced water characterization, oil droplet behavior analysis, and chemical treatment validation, enabling Aliti's research on sustainable offshore production practices.

Michael WelchView profile

Researcher

• Geophysics
• Petroleum Engineering
• Geology
• +3 more

Michael Welch is a Senior Researcher at the Danish Offshore Technology Centre (Technical University of Denmark) specializing in Geology and Geophysics. His research focuses on fracture mechanics, fluid flow dynamics, and geomechanical modeling in subsurface environments. Research Interests: Welch investigates fracture propagation across material interfaces, subcritical crack growth, and fluid flow variations in fractured reservoirs. His work integrates seismic data analysis, discrete fracture networks (DFN), and phase-field modeling techniques. Key areas: Fracture network validation, geomechanical controls on chalk/marl reservoirs, mechanical failure risk assessment for CCS operations Methodologies: Linear Elastic Fracture Mechanics (LEFM), poroelastic modeling, photogrammetry hardware development Collaborations: Active in international projects related to North Sea geology, Netherlands diapir structures, and Danish Central Graben analysis.

Behzad HosseinzadehView profile

Researcher

• CO2 Storage Engineering
• Gas Reservoir Engineering
• Geomechanics
• +3 more

Behzad Hosseinzadeh is a postdoctoral researcher at the Danish Offshore Technology Centre, GeoEnergy Engineering , Technical University of Denmark. His research focuses on coupled thermo-hydro-mechanical-chemical (THMC) processes in subsurface reservoirs for carbon capture and storage (CCS) and enhanced oil recovery (EOR). Research Themes : CO2 Storage, Gas Reservoir Engineering, Geomechanics, Process Chemical Modeling Technical Expertise : Simulators, CO2 Injection Dynamics, Chalk Reservoirs Collaborations : Active in international CCS research networks His work contributes to UN Sustainable Development Goals (SDGs), particularly Climate Action . Recent publications analyze mechanical risks in CO2 storage, develop deep learning models for reservoir characterization, and assess caprock integrity using THMC frameworks. He has presented 10 conference papers on these topics since 2019. Contact: behzadh@dtu.dk | ORCID

Isabelle Moraes Amorim ViegasView profile

Researcher

• Environmental Engineering
• Chemical Engineering
• Petroleum Engineering
• +3 more

Isabelle Moraes Amorim Viegas is a Tenure Track Researcher at the Technical University of Denmark (DTU) , affiliated with the Laboratory for Off-Shore Production Sciences under the Danish Offshore Technology Centre. Her work focuses on developing fluorescence-based sensing technologies for environmental monitoring in offshore oil production. Research Interests : Fluorescence spectroscopy, chemometrics, oil-in-water detection, BTEX analysis, droplet size characterization, and real-time environmental monitoring. Recent Publications : Her 2024-2023 research highlights advances in 3D-fluorescence spectroscopy and PARAFAC modeling for pollutants like BTEX in water/ethanol systems, oil dispersion analysis, and prototype oil-in-water analyzers. Collaborations : Active with colleagues such as Åsmund Rinnan and Sven Ivar Andersen on offshore sensor development.

• Cognitive Augmentation Technologies
• Computing Education
• AI Security & Safety
• +4 more

Nanna Inie is an Assistant Professor in Software Engineering at IT University of Copenhagen . Her research focuses on Human-Computer Interaction , with specializations in Cognitive Augmentation Technologies , Computing Education , and AI Security & Safety . She employs mixed-method designs to study human cognition extension through technology and its reciprocal effects. Recent publications highlight her exploration of generative AI ’s cognitive costs, LLM red teaming , and gender representation in educational materials. Her methodological approach combines qualitative and quantitative experiments in real-world settings. Key collaborative projects include DIREC (recruitment of IT students), ATTiKA (adaptive learning tools), and digital reading support systems . Her research has been disseminated through 30 publications and 22 media contributions , including interviews with TV2 News and Danish outlets. Funded by Villum Foundation and Innovation Fund Denmark , her work addresses technological ethics , collaborative dynamics , and environmental impacts of AI systems.

Pasquale Domenico ColaianniView profile

Researcher

• Mass Spectrometry
• Metabolomics
• Lipidomics
• +5 more

Pasquale Domenico Colaianni serves as Head of Research Software Engineering at the Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark (DTU), where he leads computational infrastructure development for biosustainability research. His work bridges software engineering and life sciences through advanced data processing solutions. His research specializes in mass spectrometry data engineering, with core expertise in metabolomics, lipidomics, and fluxomics. He develops reproducible computational workflows for LC-HRMS and LC-MS/MS data analysis, emphasizing automated processing systems that enhance scalability in large-scale biological studies. Key focus areas include data reproducibility frameworks and high-resolution mass spectrometry applications in life sciences. Recent publications demonstrate a clear trajectory toward open-source, scalable software tools for mass spectrometry data. The 2024 Nature Methods paper on OpenMS 3 establishes new standards for reproducible large-scale analysis, while the 2020 Analytical Chemistry article on SmartPeak advances automated metabolomics processing. Both works reflect his commitment to solving computational bottlenecks in quantitative biological data interpretation. He directs the Research Software Engineering group at DTU's Center for Biosustainability, managing cross-disciplinary teams that develop critical infrastructure for metabolomics and proteomics research. This includes maintaining OpenMS and SmartPeak ecosystems used globally for chromatography-mass spectrometry data analysis.

Nicholas BaileyView profile

Associate Professor

• Molecular Dynamics Simulations
• Glass-Forming Liquids
• Isomorph Theory
• +4 more

Nicholas Bailey is an Associate Professor in the Department of Mathematics and Physics (IMFUFA) within Roskilde University's Department of Science and Environment, Denmark. His research focuses on computational statistical mechanics of glass-forming systems, with particular expertise in isomorph theory and molecular dynamics simulations of metallic glasses and ionic liquids. His primary research interests center on hidden scale invariance in liquids, density scaling phenomena, and the thermodynamic-structural relationships in glassy materials. Bailey employs advanced molecular dynamics techniques to investigate melting curves, phase transitions in binary alloys like Cu-Zr systems, and the rheological behavior of amorphous materials under shear deformation. His work bridges fundamental statistical mechanics with practical materials science applications. Recent publications demonstrate strong focus on Isomorph invariance in sheared glassy systems (2023) Density scaling exponents from pair potentials (2014-2021) Melting curve predictions for metals (2024) Dynamic mechanical analysis of glass formers (2022) His research shows consistent methodology using GPU-accelerated molecular dynamics (RUMD software) across diverse material systems from metallic glasses to ionic liquids. As a project participant in the "Matter" research initiative (2017-2023), Bailey collaborated with leading physicists including J.C. Dyre and Kristine Niss. His speaking engagements include significant presentations on isomorph theory at international conferences in 2017 and 2009. Bailey maintains active research output with 46 publications including 42 journal articles, 3 working papers, and datasets archived on Zenodo. His work appears primarily in high-impact physics journals including Physical Review B, Physical Review E, and Journal of Chemical Physics.

Tina HecksherView profile

Associate Professor

• Condensed Matter Physics
• Glass Transition
• Rheology
• +3 more

Tina Hecksher is an Associate Professor at the Department of Science and Environment at Roskilde University , specializing in Mathematics and Physics (IMFUFA) . Her work bridges experimental and theoretical physics, focusing on glass-forming liquids, rheology, and dielectric spectroscopy. Keywords: Physics, Physics didactics, Glass and Time Projects: Supervised 'Closing the Gap in Broadband Mechanical Spectroscopy' (2019–2022), participated in 'Matter', 'ROSE', and 'COOEE' projects. Research Interests: Shear mechanics, hydrogen-bonded systems, density scaling, and time-scale ordering in amorphous materials. Her studies often reveal connections between dielectric and mechanical responses. Collaborations: Works with J.C. Dyre, K. Niss, B. Jakobsen, and others on experimental techniques like RUSC (Roskilde University Shear Code). Press Coverage: Featured in Danish media (2024) for discovering a universal formula for animal movement rhythms and collaborations with Continental (2019). Email: tihe@ruc.dk

Jonathan FeddersenView profile

Research Fellow

• Organization and Management Theory
• Time and Temporality
• Materiality
• +7 more

Jonathan Feddersen is a Postdoctoral Research Fellow at the Department of Organization , Copenhagen Business School , and affiliated with the Centre for Organization and Time (COT) . His work explores the interplay between temporal, spatial, and material dimensions of organizing, with a focus on sustainable innovation and event-based methods. He collaborates with Orsted on biodiversity initiatives and co-directs projects funded by the Novo Nordisk Foundation. PhD in Organization Studies, focused on event-based temporal emergence of social relations (Copenhagen Business School, 2020) Research interests span time and temporality , materiality , sustainability , and event-based methods . His recent work examines how organizations temporally reconfigure their trajectories for biodiversity goals and material temporality in food systems. Key publication trends reveal a focus on sustainable innovation , temporal methods , and material-ecological interactions , including collaborations with Orsted and studies of regional accelerators. His work appears in journals like Organization Studies and proceedings of the Academy of Management. 2019 Andreas Al-Laham Best Paper Award (EGOS Social Networks Group) 2022 Grigor McClelland Award Finalist (SAMS/EGOS) Jonathan supervises Bachelor/Master theses and business projects. His research is supported by the Novo Nordisk Foundation and collaborations with Professors Majken Schultz, Tor Hernes, and Boukje Cnossen. He contributes to the Centre for Organization and Time (COT) and participates in international conferences, including the Academy of Management and EGOS colloquia.

Gitte RasmussenView profile

Professor

• Social Interaction
• Ethnomethodology
• Conversation Analysis (EMCA)
• +6 more

Gitte Rasmussen is a Professor at the Department of Cultural and Linguistic Studies, University of Southern Denmark. Her research focuses on social interaction through ethnomethodology and conversation analysis (EMCA), particularly examining how individuals with disabilities like dementia or cerebral palsy navigate physical and digital environments. External Appointment: Associate Editor, University of Toronto Press Key Collaborations: TRINITY Project (robotics & motion), LIDEM (dementia research center) Research Themes Disability & Interaction: Analyzing gaze behavior, body weight unloading robotics, and multimodal communication in caregiving Technology & AI: Exploring eye-tracking applications, robot-assisted training, and digital commerce semiotics Social Practices: Studying everyday life dynamics in shopping, nursing homes, and virtual environments Scientific Contributions 114+ publications across social sciences, computer science, and healthcare 2024: Journal of Interactional Research in Communication Disorders (visual impairment studies) 2025: Pragmatics and Society (e-shopping analysis) Awards & Recognition 2012: Fyns Stiftstindendes Forskerspris (research prize) Advising & Projects Supervised 6 PhD students including Dakwar (digital commerce), Nicolaisen (robotics), and Lauridsen (ethics) Principal Investigator for 4 major projects (DAP, RESEMINA, Demensvenlighed, TRINITY) Collaborated with researchers across Denmark, Canada, and the Netherlands Labs & Networks Co-PI at LIDEM (Dementia Research Center) Active in international EMCA and multimodality networks Developed methods for integrating eye-tracking and video analysis in social interaction studies

• Database Systems
• Distributed Systems
• Event-Based Systems
• +5 more

Yongluan Zhou is a Professor at the Department of Computer Science , University of Copenhagen , where he co-heads the Data Management Systems Lab (DMS Lab) and serves as Head of Studies for the MSc in Computer Science . His academic journey includes a PhD from the National University of Singapore (NUS) (2007), a postdoc at ETH Zürich (2007–2008), and prior roles as Associate Professor at University of Southern Denmark (SDU) (2008–2017). PhD in Computer Science, National University of Singapore (2002–2007) Postdoc, ETH Zürich (2007–2008) Zhou's research focuses on database systems and distributed systems , with recent emphasis on event-driven systems , scalable stream processing , and big graph analysis . His work bridges theoretical foundations and practical implementations, addressing challenges in data consistency, fault tolerance, and resource optimization in cloud and microservice environments. The trends in his 15 most recent publications (2025–2024) highlight advancements in asynchronous choreographies , blockchain consensus protocols , GPU-accelerated graph processing , and microservices data management . These works integrate formal methods with empirical validation, emphasizing scalability, security, and efficiency in distributed environments. He actively contributes to academic governance as a member of the DEBS Steering Committee (2024–), SSDBM Steering Committee (2022–), and the EDBT Association Executive Board (2020–).

• Software Process Improvement
• Organizational Change Management
• Systems Engineering
• +2 more

Peter H. Carstensen serves as a Part-time Lecturer in the Department of Computer Science at the University of Copenhagen, affiliated with the Software, Data, People & Society (SDPS) section. His position bridges academic instruction with practical software engineering applications focused on societal impact. His research centers on: Software Process Improvement methodologies Organizational Change Management frameworks Systems Engineering integration Data-Driven Decision Making processes Human-Computer Interaction optimization Analysis of his 2017-2024 publications reveals consistent focus on EuroSPI conference themes: designing organizational change models, expanding ISO/IEC 33014 tactical frameworks, and identifying critical improvement action aspects. His work emphasizes aligning technical software processes with business objectives through structured human-centric change initiatives. As part of the SDPS section led by Associate Professor Dmitriy Traytel, he contributes to interdisciplinary industry collaborations focused on developing software systems that serve both developers and end-users while generating societal value.