The Department of Information Technologies (IT) is part of the Division of Natural Sciences and Technology at Åbo Akademi University. The IT Department provides education in Computer Science and Computer Engineering, at the bachelors level, masters level and postgradual level. The research and education is performed in cooperation with Turku Centre for Computer Science (TUCS).
Our sensor fusion platform for situational awareness was presented during the robotics and AI event hosted by SparkUp Turku and organized by Turku Business Region.
We are taking part in the robotics and AI event organized by Turku Business Region. Come and checkout today, in ElectroCity, our sensor fusion platform for situational awareness !
Conformiq is looking to hire algorithm developers, AI specialists and software developers. Here is the link to the careers section at their website.
Kom med på Pythonprogrammeringskurs med Linda Mannila !
We are hiring ! We invite applications for 5 project researchers within the Information Technology cluster in:
|Afzal, Wasif and Bruneliere, Hugo and Di Ruscio, Davide and Sadovykh, Andrey and Mazzini, Silvia and Cariou, Eric and Truscan, Dragos and Cabot, Jordi and Gómez, Abel and Gorroñogoitia, Jesús and Pomante, Luigi and Smrz, Pavel, The MegaM@Rt2 ECSEL project: MegaModelling at Runtime – Scalable model-based framework for continuous development and runtime validation of complex systems. In: Microprocessors and Microsystems. Science Direct, 2018 1|
|Robertsén, Fredrik and Mattila, Keijo and Westerholm, Jan, Lattice Boltzmann Method on GPUs: A Comparison Between OpenACC and CUDA. TUCS Technical Reports 1191. TUCS, 2018|
|Kamali, Mojgan and Merro, Massimo and Dal Corso, Alice, AODVv2: Performance vs. Loop Freedom. In: SOFSEM 2018: Theory and Practice of Computer Science. Tjoa, A Min and Bellatreche, Ladjel and Biffl, Stefan and van Leeuwen, Jan and Wiedermann, Jiři (Eds.). Springer, 2018 1|
|Huitzil, Ignacio and Straccia, Umberto and Diaz-Rodriguez, Natalia and Bobillo, Fernando, Datil: Learning Fuzzy Ontology Datatypes. In: Communications in Computer and Information Science (CCIS). Pelta, David and Bouchon-Meunier, B. and Yager, R. R. (Eds.). Springer, 2018|
|Kanhaiya, Krishna and Rogojin, Vladimir and Kazemi, Keivan and Czeizler, Eugen and Petre, Ion, NetContrl4BioMed: A pipeline for biomedical data acquisition and analysis of network controllability. In: BMC Bioinformatics. 2018 1|
|Neovius, Mats and Launis, Kati and Nurmi, Olli, Exploring Library Loan Data for Modelling the Reading Culture: Project LibDat. In: Proceedings of the Digital Humanities in the Nordic Countries 3rd Conference. Mäkelä, Eetu and Tolonen, Mikko and Tuominen, Jouni (Eds.). CEUR-WS CEUR-WS, 2018 1|
|Byholm, Benjamin and Porres, Ivan, Fast algorithms for fragmentable items bin packing. In: Journal of Heuristics. Springer US, 2018 2|
|Robertsén, Fredrik, The Lattice Boltzmann Method, a Petaflop and Beyond. TUCS Dissertations 231. 2018|
|Ivanov, Sergiu and Rogojin, Vladimir and Azimi, Sepinoud and Petre, Ion, WEBRSIM: A Web-Based Reaction Systems Simulator. TUCS Technical Reports 1195. TUCS, 2018|
|Rexha, Hergys and Lafond Sébastien and Desnos, Karol, Energy-Efficient Actor Execution for SDF Application on Heterogeneous Architectures. In: 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing. Guerrero, Juan E (Eds.). IEEE, 2018 1|
|Rauf, Irum and Troubitsyna, Elena, Securing Open Source Clouds Using Models. In: nd Workshop on Formal and Model-Driven Techniques for Developing Trustworthy Systems. Ishikawa, Fuyuki and Pelliccione, Patrizio and Troubitsyna, Elena (Eds.). Electronic Proceedings in Theoretical Computer Science, 2018|
|Ahmad, Tanwir and Truscan, Dragos and Porres, Ivan, Identifying Worst-Case User Scenarios for Performance Testing of Web Applications Using Markov-Chain Workload Models. In: Future Generation Computer Systems: The International Journal of Grid Computing: Theory Methods and Applications. Elsevier, 2018 1|
|Panchal, Charmi, Qualitative Methods for Modeling Biochemical Systems and Datasets: The Logicome and the Reaction Systems Approaches. TUCS Dissertations 229. 2018|
|Vistbakka, Inna and Majd, Amin and Troubitsyna, Elena, Autonomous Resilient Systems: Derivation of Mode Logic Using Event-B. TUCS Technical Reports 1199. 2018|
|Huitzil, I and Straccia, U and Díaz-Rodríguez, N and Bobillo, F, Datil: Learning Fuzzy Ontology Datatypes. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. Medina, J. and Ojeda-Aciego, M. and Verdegay, J.L. and Perfilieva, I. and Bouchon-Meunier, B. and Yager, R.R (Eds.). Communications in Computer and Information Science Springer, 2018|