23. októbra 2026
Žilinská univerzita v Žiline, Fakulta riadenia a informatiky
Odborný seminár pre tých, ktorí sa chcú naučiť pracovať s dátami v dobe umelej inteligencie.
Process Data Quickly and Efficiently - An expert seminar for those who want to learn how to work with data in the era of artificial intelligence.
Dátum:
23. október, 2026
Čas: 9:00 – 12:00
Miesto: Žilinská univerzita v Žiline, Fakulta riadenia a informatiky
The project Smart data Pipelines for the CognItive ComputE Continuum (S.P.I.C.E.) is part of the call
09I02-03-V01: Transformation and innovation consortia.
The consortium consists of the coordinator InterWay a.s. and nine partners from Slovakia, Poland, Spain and Austria. For more information, see
https://spice-platform.eu/sk/
Project name:
Smart Data Pipelines for the Cognitive Compute Continuum (S.P.I.C.E.)
Project code:
09I02-03-V01-00012
Financed by the European Union from the funds of the Recovery and Resilience Plan of the Slovak Republic.
8.30 - 9.00 Registrácia
9.00 Úvodný príhovor: dekan Fakulty riadenia a informatiky prof. Ing. Emil Kršák, PhD.
9.10 Základné informácie o TIK SPICE: Peter Klamo, Slovenské centrum digitálnych inovácií (SCDI)
9:20 Vznik, fungovanie a ciele SPICE: Peter Kišša, CTO, spol. InterWay
9:50 Od medicínskych snímok k AI na GPU – SPICE UC4-Extension: Michal Staňo, vedec a výskumník, Slovenská akadémia vied
10.20 Coffee break
10.30 – 11.00 Umelá inteligencia pri diagnostike adenómov hypofýzy pomocou MRI: Martin Komák, odborný asistent na Fakulte informatiky a informačných technológií Slovenskej technickej univerzity v Bratislave
11.00 – 11.30 Digitálna histopatológia podporená umelou inteligenciou: Martin Komák, odborný asistent na Fakulte informatiky a informačných technológií Slovenskej technickej univerzity v Bratislave
11.30 – 11.40 Coffee break
11.40 – 12.00 Záverečná diskusia s prezentujúcimi.
Programme
8:30–9:00 Registration
9:00 Opening Remarks: Dean of the Faculty of Management Science and Informatics, Prof. Ing. Emil Kršák, PhD.
9:10 Basic Information about TIK SPICE: Peter Klamo, Slovak Centre for Digital Innovations (SCDI)
9:20 Establishment, Operation and Objectives of SPICE: Peter Kišša, CTO, InterWay
9:50 From Medical Imaging to AI on GPUs – SPICE UC4 Extension: Michal Staňo, Scientist and Researcher, Slovak Academy of Sciences
10:20 – 10:30 Coffee Break
10:30 – 11:00 Artificial Intelligence in the Diagnosis of Pituitary Adenomas Using MRI: Martin Komák, Assistant Professor at the Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava
11:00 – 11:30 AI-Assisted Digital Histopathology: Martin Komák, Assistant Professor at the Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava
11:30 – 11:40 Coffee Break
11:40 – 12:00 Final Discussion with the Speakers.
Miesto konania
Kontaktná osoba
Vanesa Vámos Župová
Senior Event Manager
vanesa.zupova@mafraslovakia.sk
Peter Kišša (CTO, InterWay)
Short professional bio: Peter Kissa is a CTO and software/product leader focused on building scalable digital solutions and AI-enabled data platforms. He leads architecture and delivery across multiple product lines and customer environments, with strong experience in cloud-native engineering, data integration, and applied AI. He also drives EU-funded R&D initiatives spanning trustworthy data pipelines, governance, and secure-by-design platform capabilities.
Presenatation summary: The presentation introduces SPICE from an end-user perspective: what the platform will enable, who it is for, and how it creates value in real operational settings. We will walk through the SPICE “destination” as a trustworthy and explainable data-pipeline platform spanning cloud and edge environments, and show how it reduces delivery complexity, improves time-to-insight, and supports compliant collaboration across organizations. Participants will leave with a clear understanding of the expected benefits, key privacy and trust considerations, practical preparation steps (data readiness, governance, roles), and an overview of adoption and monetization paths that support sustainability beyond the project.
Michal Staňo (Research Scientist, Slovak Academy of Sciences)
Short professional bio: Michal Staňo is a research fellow in the field of machine learning at the Institute of Informatics of the Slovak Academy of Sciences. His research focuses on federated and distributed learning, multi-task learning and reproducible artificial intelligence workflows. He applies these approaches to the processing of medical images, hyperspectral and geospatial data. In June 2026, he successfully completed his PhD in Computer Science at the Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava. Under the supervision of Assoc. Prof. Ing. Ladislav Hluchý, CSc., his doctoral thesis focused on the distributed processing of large-scale data and the design of federated learning methods from heterogeneous and partially annotated data.
He is currently involved in the SPICE and AI4CC research projects. In the SPICE project, he is contributing to the development of the UC4-Extension, which integrates federated learning with modular AI workflows, containerised deployment and GPU computing. In his work, he combines research into AI methods with the practical deployment and evaluation of models in distributed environments.
Martin Komák
od (oborný asistent na Fakulte informatiky a
informačných technológií Slovenskej technickej univerzity v Bratislave)
Short professional bio: Vo výskume a výučbe sa venuje umelej inteligencii a jej praktickému využitiu v inžinierskych aplikáciách. Vedie študentské práce a projekty a pôsobí aj ako lektor Akadémie FIIT STU. Na konferencii predstaví projekt, na ktorom spolupracoval so študentmi a ktorý sa zameriaval na spracovanie medicínskych obrazov a rozpoznávanie nádorov.
