Organisation profile
Organisation profile
In a world that constantly requires faster response times and faster access to larger and larger volumes of business data, data systems are essential. The data systems are the computer systems in the data centers that enable the handling and analysis of large amounts of data. This data underlies data-intensive applications, such as big data analytics, self-driving cars, and algorithmic trading.
The research areas of ITU's Data-intensive Systems and Applications range widely from the Internet of Things to storage systems and hardware / software ecosystems.
Fingerprint
Collaborations and top research areas from the last five years
Profiles
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Jens Birk Andersen
- Data, Systems, and Robotics - PhD fellow (industrial)
- Resource-Aware Data Systems
- Data-intensive Systems and Applications
Person: Guest
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Maria Sinziiana Astefanoaei
- Data, Systems, and Robotics - Assistant Professor
- Data-intensive Systems and Applications
Person: VIP
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Deep Neural Networks for Reliable Underwater Vision
Weihl, L., 2026, 222 p.Research output: Theses › PhD thesis
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Flexible I/O for Database Management Systems with xNVMe
Houlborg, E., Tietgen, A. N., Lund, S. A. F., Weisgut, M., Rabl, T., Gonzalez, J., Shah, V. & Tözün, P., 2026, Conference on Innovative Data Systems Research. 8 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Open Access -
Rogers: Writing Verified Programs for Computational Storage
Clausen, M. T., 2026, IT-Universitetet i København. 152 p.Research output: Theses › PhD thesis
Open AccessFile
Datasets
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SeagrassFinder: An Underwater Eelgrass Image Classification Dataset
Elsäßer, J. (Creator), Weihl, L. (Creator), Cheplygina, V. (Creator) & Tangaa Nielsen, L. (Creator), ZENODO, 8 Oct 2024
DOI: 10.5281/zenodo.13904604, https://zenodo.org/records/13904604
Dataset
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Reproducibility Education in Computer Science
Bonnet, P. (Creator), ZENODO, 2023
DOI: 10.5281/zenodo.7974290, https://zenodo.org/record/7974290
Dataset: Presentation
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NEATX: Non-Expert Annotations of Tubes in X-rays
Cheplygina, V. (Creator), Cathrine, D. (Creator), Eriksen, T. N. (Creator), Jiménez-Sánchez, A. (Creator) & Juodelyte, D. (Contributor), ZENODO, 28 Feb 2025
DOI: 10.5281/zenodo.14944064, https://zenodo.org/records/14944064
Dataset
Prizes
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Best Demonstration Award, SIGMOD 2018
Zacharatou, E. T. (Recipient), 2018
Prize: Prizes, scholarships, distinctions
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Distinguished Reviewer Award, VLDB 2022
Zacharatou, E. T. (Recipient), 2022
Prize: Prizes, scholarships, distinctions
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Activities
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Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (Event)
Hedam, N. (Reviewer)
2021Activity: Publication peer-review and editorial work types › Peer review of manuscripts › Research
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Assessment committee for recruitment of assistant/associate professor in Data-Intensive Systems and Applications (Event)
Cheplygina, V. (Chair), Boehm, M. (Member) & Leis, V. (Member)
22 Aug 2023 → 31 Dec 2023Activity: Membership types › Membership in review committee
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Big Data Research (Journal)
Bonnet, P. (Reviewer)
2022 → …Activity: Publication peer-review and editorial work types › Editor of Research journal › Research
Press/Media
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Midt i AI-ræset føles ny data science-konference som et åndehul
27/08/2025
1 Media contribution
Press/Media: Press / Media
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Åben datastyring: Sådan får man mere værdi ud af data
Hentschel, M. & Kickbusch, J.
07/10/2024
1 Media contribution
Press/Media: Press / Media
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Forskere: Vi skal afdække e-sportens skjulte vækstpotentiale
Bonnet, P.
21/04/2022
1 Media contribution
Press/Media: Press / Media
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MOTH: Machine Learning on Tiny Hardware
Tözün, P. (PI), Bayer, R. (CoI) & Robroek, T. T. (Collaborator)
01/08/2023 → 31/07/2026
Project: Research
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ANGEL: Accessible Next-Generation storage for Efficient deep Learning pipelines
Tözün, P. (PI)
01/09/2025 → 31/08/2028
Project: Research
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CHEETAH: Challenges in Evaluating Teams and Algorithms
Cheplygina, V. (PI), Sourget, T. (CoI), Classen, N. (CoI) & Nielsen, B. M. G. (Collaborator)
01/09/2025 → 31/08/2030
Project: Research