Research output per year
Research output per year
Organisation profile
Organisation profile
W Katedrze Modelowania Sztucznej Inteligencji prowadzimy zaawansowane badania w dziedzinie systemów inteligencji obliczeniowej i uczenia maszynowego oraz hybrydowych systemów sztucznej inteligencji. Pracownicy posiadają znakomite doświadczenie w modelach głębokich sieci neuronowych, systemów rozmytych oraz algorytmów heurystycznych stosowanych w modelach detekcji i rozpoznawania obiektów graficznych, systemach ekspertowych, symulacjach komputerowych i optymalizacji wielokryterialnej. Opracowane modele znalazły wiele zastosowań w zaawansowanych systemach informatycznych, IoT (internecie rzeczy), medycynie, technice i komunikacji. Pracownicy Wydziału posiadają wiele publikacji w najbardziej prestiżowych czasopismach o zasięgu światowym.
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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SDG 1 No Poverty -
SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 5 Gender Equality -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 14 Life Below Water -
SDG 15 Life on Land -
SDG 16 Peace, Justice and Strong Institutions -
SDG 17 Partnerships for the Goals
Fingerprint
Dive into the research topics where Department of Artificial Intelligence Modelling (RMS/RMS2) is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
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
Profiles
Research output
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2D SMOKE PRESSURE SOLVING USING CUSTOM TRANSFORMER-BASED DEEP NEURAL NETWORK
Wieczorek, M. & Woźniak, M., 2026, 40th ECMS International Conference on Modelling and Simulation, ECMS 2026. Sanfilippo, F., Demrozi, F., Sgarbossa, F., Poursina, M., Al-Begain, K. & Iacono, M. (eds.). European Council for Modelling and Simulation, p. 540-546 7 p. (Proceedings - European Council for Modelling and Simulation, ECMS; vol. 2026-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
3D SMOKE UPSCALING USING LIGHTWEIGHT DNN
Wieczorek, M. & Woźniak, M., 2026, 40th ECMS International Conference on Modelling and Simulation, ECMS 2026. Sanfilippo, F., Demrozi, F., Sgarbossa, F., Poursina, M., Al-Begain, K. & Iacono, M. (eds.). European Council for Modelling and Simulation, p. 533-539 7 p. (Proceedings - European Council for Modelling and Simulation, ECMS; vol. 2026-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
A Centralized Federated Learning Framework with Security Aspects Against Byzantine and Sybil Attacks
Jaszcz, A., Woźniak, M., Pleszczyński, M. & Zielonka, A., 2026, Artificial Intelligence and Soft Computing - 24th International Conference, ICAISC 2025, Proceedings. Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R. & Zurada, J. M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 102-113 12 p. (Lecture Notes in Computer Science; vol. 15948 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus)
Equipment
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AI Modeling Nexus
Woźniak, M. (Research pool leader) & Połap, D. (Research pool member)
Faculty of Applied Mathematics (RMS)Facility/equipment: Research pool