Publikationen

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Keyword

Forschungsprojekt

Institut/Einrichtung

2026

Closeness Atoms: Towards more Personal Relatedness Technologies

Butenberg, C., Zumaya, M. \ia del M., Hassenzahl, M., & Wallbaum, T. (2026). Closeness Atoms: Towards more Personal Relatedness Technologies. In Proceedings of the 10th ACM International Symposium on Pervasive Displays. New York, NY, USA: Association for Computing Machinery. http://doi.org/10.1145/3797993.3798002

Abstract

Young adults in long-distance relationships often miss the presence of their loved ones. Technologically mediated awareness offers a potential remedy. While Human-Computer Interaction has introduced various concepts to support such connections, these are often limited by predefined input/output modalities and fixed interaction forms. This restricts personalization and can hinder user acceptance. To address these limitations, we propose a concept of a customizable toolbox of “Closeness Atoms”. We studied needs and requirements of young adults in long-distance relationships via an online survey (n=94), literature review (n=53) and semi-structured interviews (n=7). Our findings indicate a wish to share everyday moments, emotions, and activities, but lack personalized ways to express their unique forms of relatedness. Therefore our toolbox concept enables users to combine and configure modalities such as light, sound, and video to create individual relatedness experiences. This approach supports flexible, emotionally meaningful connections tailored to diverse personal and relational needs.
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Wallbaum, Torben

Forschungsprojekt

Miteinander: Mit interaktiver Technologie in Alltagssituationen Nähe auf Distanz ermöglichen

Abteilung/Einrichtung

CIVU – Center for Interaction, Visualization and Usability

Profilbereich

Informatik und Gestaltung

Forschungsfeld

Human-Computer-Interaction

Fachbereich

Fachbereich 3: Information und Kommunikation
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2026

Conference Paper

Chantal Butenberg

Mar\ Zumaya

Marc Hassenzahl

Torben Wallbaum

Relatedness

awareness

personalization

adaptable systems

long-distance relationships

in-/output modalities
Filtering Scheme for Confocal Laser Endomicroscopy (CLE)-video Sequences for Self-supervised Learning

Porsche, N., Müller-Diesing, F., Banerjee, S., Goncalves, M., & Aubreville, M. (2026). Filtering Scheme for Confocal Laser Endomicroscopy (CLE)-video Sequences for Self-supervised Learning. In H. Handels, K. Breininger, T. Deserno, A. Maier, K. Maier-Hein, C. Palm, & T. Tolxdorff (Hrsg.), Bildverarbeitung für die Medizin 2026 (S. 375–380). Wiesbaden: Springer Fachmedien Wiesbaden. http://doi.org/10.1007/978-3-658-51100-5_73
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Porsche, Nils

Banerjee, Sweta

Aubreville, Marc

Forschungsprojekt

Optical Biopsy of Sinonasal Tumors using Confocal Laser Endomicroscopy: A Clinical and Deep Learning-based Assessment and Visualization

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
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2026

Conference Paper

Nils Porsche

Flurin Müller-Diesing

Sweta Banerjee

Miguel Goncalves

Marc Aubreville

Heinz Handels

Katharina Breininger

Thomas Deserno

Andreas Maier

Klaus Maier-Hein

Christoph Palm

Thomas Tolxdorff
Exploring General-purpose Autonomous Multimodal Agents for Pathology Report Generation

Aubreville, M., Donovan, T. A., & Bertram, C. A. (2026). Exploring General-purpose Autonomous Multimodal Agents for Pathology Report Generation. In H. Handels, K. Breininger, T. Deserno, A. Maier, K. Maier-Hein, C. Palm, & T. Tolxdorff (Hrsg.), Bildverarbeitung für die Medizin 2026 (S. 393–399). Wiesbaden: Springer Fachmedien Wiesbaden. http://doi.org/10.1007/978-3-658-51100-5_76
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Aubreville, Marc

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(mu)ROMI: Robust and Accurate Multi-Tumor, Multi-Species, Multi-Laboratory and Multi-Scanner Mitosis Detection with Large-Scale Datasets and Artificial Intelligence

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
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2026

Conference Paper

Marc Aubreville

Taryn Donovan

Christof Bertram

Heinz Handels

Katharina Breininger

Thomas Deserno

Andreas Maier

Klaus Maier-Hein

Christoph Palm

Thomas Tolxdorff

2025

Evaluation of Wind Field Reconstruction for Lidar- Assisted Control of a 2 MW Wind Turbine

Schlipf, D., Islam, S., Brovia, S. P., & Schedat, M. (2025). Evaluation of Wind Field Reconstruction for Lidar- Assisted Control of a 2 MW Wind Turbine. In Conference for Wind Power Drives (CWD) and the Drivetrain and Systems Engineering Conference (DSEC). http://doi.org/10.5281/zenodo.15112727 (Original work published 2026)
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Schlipf, David
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2025

Conference Paper

David Schlipf

Showmin Islam

Santiago Brovia

Marcel Schedat
"When Two Wrongs Don t Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology

Rosbach, E., Ammeling, J., Krügel, S., Kießig, A., Fritz, A., Ganz, J., … Aubreville, M. (2025). "When Two Wrongs Don t Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (S. 1–18). Yokohama Japan: ACM. http://doi.org/10.1145/3706598.3713319 (Original work published 2026)
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Aubreville, Marc

Abteilung/Einrichtung

CIVU – Center for Interaction, Visualization and Usability

FLAIR - Flensburg Artificial Intelligence Research

Profilbereich

Gesundheit und Life Sciences

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
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2025

Conference Paper

Emely Rosbach

Jonas Ammeling

Sebastian Krügel

Angelika Kießig

Alexis Fritz

Jonathan Ganz

Chloé Puget

Taryn Donovan

Andrea Klang

Maximilian Köller

Pompei Bolfa

Marco Tecilla

Daniela Denk

Matti Kiupel

Georgios Paraschou

Mun Kok

Alexander Haake

Ronald De Krijger

Andreas Sonnen

Tanit Kasantikul

Gerry Dorrestein

Rebecca Smedley

Nikolas Stathonikos

Matthias Uhl

Christof Bertram

Andreas Riener

Marc Aubreville
Evaluation of Video Streaming Quality Degradation in Lossy Environment

Klink, J., Łuczyński, M., Frnda, J., & Uhl, T. (2025). Evaluation of Video Streaming Quality Degradation in Lossy Environment. In 33rd International Conference on Software, Telecommunications and Computer Networks (S. 6). Split/Croatia: IEEE Xplore. (Original work published Oktober 2025)

Abstract

The article describes the issue of assessing the impact of packet loss in the network on the degradation of video quality received by users. The case of live streaming service was considered here, where potential error correction by retransmitting lost packets is not implemented. The authors described the results of research conducted in a test laboratory environment under full control of network traffic. The prepared set of reference video samples in three resolutions was encoded using H.264 and H.265 codecs. The video samples were transmitted over the network with different levels of packet loss and recorded at the receiving end. The degraded video was assessed using objective and subjective methods. The obtained results were used to build a machine learning model that can be used to predict the video quality experienced by users based on the designated objective metrics. The authors thus indicate that the machine learning model allows for obtaining better video quality prediction results than the previous modeling based on single objective metrics.
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Uhl, Tadeus

Profilbereich

Informatik und Gestaltung

Forschungsfeld

Netzintegration

Fachbereich

Fachbereich 3: Information und Kommunikation
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2025

Conference Paper

Janusz Klink

Michał Łuczyński

Jaroslav Frnda

Tadeus Uhl
GPU Virtualization and Remoting Service for AI Acceleration at the Edge

Gaikwad, N., Lübben, R., & Kosta, S. (2025). GPU Virtualization and Remoting Service for AI Acceleration at the Edge. In Summer School on Cyber-Physical Systems and Internet-of-Things. (Original work published Juli 2025)
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Forschungsprojekt

KI-Anwendungszentrum (KIAZ)

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 4: Wirtschaft
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2025

Conference Paper

Nikhil Gaikwad

Ralf Lübben

Sokol Kosta
An Experimental Wind Farm Emulator with a Dual Variable-Speed Drive Configuration

Gruman, N., Moses, P., & Jauch, C. (2025). An Experimental Wind Farm Emulator with a Dual Variable-Speed Drive Configuration. In 2025 Intermountain Engineering, Technology and Computing (IETC) (S. 6). Orem, UT, USA: IEEE. http://doi.org/10.1109/IETC64455.2025.11039473 (Original work published Juni 2025)

Abstract

The rise of wind power in bulk electric systems creates a growing need to model, understand, and characterize responses to various sources of disruption. Despite the numerous advantages of computer models, physical emulators have enormous benefits in characterizing dynamic magnetic electromechanical phenomena which are unexpected or difficult for models to process accurately. The development of an experimental apparatus for physical wind farm emulation is described. The control and operation of an induction motor-generator setup for mimicking wind generator dynamics are demonstrated. Recommendations for further application of this emulator are also given.
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Jauch, Clemens

Abteilung/Einrichtung

Wind Energy Technology Institute

Profilbereich

Erneuerbare Energien und nachhaltige Entwicklung

Forschungsfeld

Wind

Netzintegration

Fachbereich

Fachbereich 2: Energy and Life Science
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2025

Conference Paper

Noah Gruman

Paul Moses

Prof. Dr. Clemens Jauch

Emulator

grid connection

induction machine

inverter, renewables

wind energy
Minimum CO2 Saving Requirement for the Hydraulic-Pneumatic Flywheel System in the Rotor of a Wind Turbine

Goga, A., Jauch, C., Alhrshy, L., Gagel, A., & Kloft, P. (2025). Minimum CO2 Saving Requirement for the Hydraulic-Pneumatic Flywheel System in the Rotor of a Wind Turbine. In NEIS Conference 2024 (S. 184–191). Hamburg: VDE Verlag GmbH. http://doi.org/10.30420/566464025 (Original work published März 2025)

Abstract

Researchers in the wind sector continuously aim to lower mechanical and structural loads on wind turbines to reduce the amount of material used in their components. One such innovative concept that is being investigated here is the integration of a flywheel system into rotor blades. In contrast to its intended aim of reducing the material usage and thereby CO2 emissions, the flywheel system in its implementation requires additional materials, which increases the carbon footprint considerably. Hence, to achieve a net CO2 saving, the CO2 expenditure of the additional components needs to be saved by the system as a minimum. The purpose of this work is to quantify the rise in CO2 emissions, caused by the installation of the flywheel system, relative to the original design. Thereby, the flywheel system’s minimal performance requirement for an exemplary wind turbine is defined.
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Goga, Abhinay

Jauch, Clemens

Alhrshy, Laurence

Forschungsprojekt

Ressourceneffizienz in der Windenergie

Abteilung/Einrichtung

Wind Energy Technology Institute

Profilbereich

Erneuerbare Energien und nachhaltige Entwicklung

Forschungsfeld

Wind

Fachbereich

Fachbereich 2: Energy and Life Science
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2025

Conference Paper

Abhinay Goga

Prof. Dr. Clemens Jauch

Laurence Alhrshy

Andreas Gagel

Peter Kloft

Wind Turbine

Variable inertia flywheel

Increase In CO2 Emissions

Construction Materials
Effortless Vision-Language Model Specialization in Histopathology without Annotation

Qiu, J., Jain, N., Ammeling, J., Aubreville, M., & Breininger, K. (2025). Effortless Vision-Language Model Specialization in Histopathology without Annotation. In MICCAI Workshop on Computational Pathology with Multimodal Data (COMPAYL). Abgerufen von https://openreview.net/forum?id=pQDzXVeBja
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Aubreville, Marc

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Profilbereich

Informatik und Gestaltung

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
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2025

Conference Paper

Jingna Qiu

Nishanth Jain

Jonas Ammeling

Marc Aubreville

Katharina Breininger

Publikationen

2026

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