Projects per year
Organisation profile
Organisation profile
The research at Information Technology is organized around on three themes: development of mission-critical software, the industrial internet and algorithms and software in bio engineering:
- Mission-critical software focuses on the design and development of high quality, reliable software systems. This includes formal methods in system design, software testing, explainable AI for the development of autonomous systems, high performance software and low-power and energy efficient software systems.
- Industrial internet focuses on the interconnections of sensors and actuators with computer systems in industrial and manufacturing applications. We study the creation of digital twins for performance and reliability evaluation in challenging industrial systems.
- Algorithms and software in bio engineering focuses on research on computational systems ,biology natural computing, network analysis theory of computing and computational modelling.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research units
Profiles
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Adnan Ashraf
- Faculty of Science and Engineering, Information Technology - Senior University Lecturer
Person
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NAP4DIVE: Non-Animal Platform for Nanoparticle-Based Delivery across the blood-brain barrier Interface with Vehicle Evolution
Sahlgren, C. (Principal Investigator), Rosenholm, J. (Principal Investigator), Zhang, H. (Principal Investigator), Viitala, T. (Principal Investigator) & Lafond, S. (Principal Investigator)
01/01/25 → 31/12/28
Project: EU
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AI-LokalDemo: AI i lokaldemokratins tjänst
Lundell, A. (Principal Investigator), Westö, J. (Principal Investigator) & Backholm-Nyberg, Y. (Co-Principal Investigator)
01/06/24 → 30/06/25
Project: Foundation
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VST: Virtual Sea Trial
Truscan, D. (Principal Investigator), Hellström, M. (Principal Investigator), Porres Paltor, I. (Co-Principal Investigator), Ahmad, T. (Co-Investigator), Chariyarupadannayil Sudheerbabu, G. (Project staff), Yaseen, A. (Project staff), Khan, M. S. W. (Project staff) & Mughees, A. (Project staff)
01/01/24 → 31/12/26
Project: Industry/Business Finland
Publications
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Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV
Winsten, J., Soloviev, V., Peltomäki, J. & Porres, I., 14 Apr 2024, Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024. ACM, p. 43-44 2 p. (Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024).Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile2 Citations (Scopus)14 Downloads (Pure) -
A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learning
Olama, A., Lundell, A., Kronqvist, J., Ahmadi, E. & Camponogara, E., 2024, In: arXiv preprint arXiv:2405.16267.Research output: Contribution to journal › Article › Scientific › peer-review
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AI For Engineers, A Useful But Dangerous Tool
Björkqvist, J., 2024, CDIO Conference proceedings.Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review
Datasets
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Performance Exploration Dataset
Ahmad, T. (Creator) & Truscan, D. (Creator), Zenodo, 1 Oct 2020
Dataset
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ABOships-PLUS
Jesper, W. (Creator), Bogdan, I. (Creator), Valentin, S. (Creator), Johan, L. (Creator) & Soloviev, V. (Contributor), Zenodo, 8 Jan 2024
DOI: 10.5281/zenodo.10469672, https://zenodo.org10469672
Dataset
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ABOships
Iancu, B. (Creator), Soloviev, V. (Creator), Zelioli, L. (Creator) & Lilius, J. (Creator), Zenodo, 4 May 2021
Dataset
Prizes
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Best Paper Award
Ahmad, T. (Recipient) & Truscan, D. (Recipient), 2024
Prize: Award or honor granted for a specific work
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Activities
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Parallel Sparse Fitting Toolbox
Olama, A. (Speaker)
13 Dec 2024Activity: Talk or presentation › Public or invited talk
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Distributed Interpretable Machine Learning on GPUs
Olama, A. (Speaker), Lundell, A. (Contributor) & Kronqvist, J. (Contributor)
30 Jun 2024 → 4 Jul 2024Activity: Talk or presentation › Conference presentation
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Mälardalen University
Iancu, B. (Visiting lecturer)
17 Jun 2024 → 18 Jun 2024Activity: Visiting an external institution › Visiting an external academic institution
Press/Media
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Intervju om nytt utbildningspaket med fokus på batteriindustrin på svenska.yle.fi
23/08/21
1 Media contribution
Press/Media