Name and surname:
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Mgr. Ivor Uhliarik, PhD.
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Document type:
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Research/art/teacher profile of a person
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The name of the university:
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Comenius University Bratislava
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The seat of the university:
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Šafárikovo námestie 6, 818 06 Bratislava
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III.a - Occupation-position | III.b - Institution | III.c - Duration |
---|---|---|
assistant professor | Faculty of Mathematics, Physics, and Informatics, Comenius University in Bratislava | 2024–present |
lector | Faculty of Mathematics, Physics, and Informatics, Comenius University in Bratislava | 2022–2023 |
scientific employee | Ľ. Štúr Institute of Linguistics, Slovak Academy of Sciences, v. v. i. | 2015–present |
programmer and researcher | ideas2markets s. r. o. | 2012–2015 |
V.1.a - Name of the profile course | V.1.b - Study programme | V.1.c - Degree | V.1.d - Field of study |
---|---|---|---|
Programming (3) | applied informatics | 1st | computer science |
Linux for Users | applied informatics | 1st | computer science |
Extreme Programming | applied informatics | 2nd | computer science |
Uhliarik, I. (2022). Enhancing and Evaluating the Product Fuzzy DPLL Solver. SN COMPUT. SCI. 3, 388
Uhliarik, I. (2020). The Implementation of a Product Fuzzy DPLL Solver. In Proceedings of the 12th International Joint Conference on Computational Intelligence, pp. 252–263.
Uhliarik, I. (2019). Foundations of a DPLL-based solver for fuzzy answer set programs. In Studies in Computational Intelligence, 829, pp. 99–117
Uhliarik, I. (2017). Solving Fuzzy Answer Set Programs in Product Logic. In Proceedings of the 9th International Joint Conference on Computational Intelligence, pp. 367-372
Uhliarik, I. (2022). Enhancing and Evaluating the Product Fuzzy DPLL Solver. SN COMPUT. SCI. 3, 388
Uhliarik, I. (2020). The Implementation of a Product Fuzzy DPLL Solver. In Proceedings of the 12th International Joint Conference on Computational Intelligence, pp. 252–263.
Uhliarik, I. (2019). Foundations of a DPLL-based solver for fuzzy answer set programs. In Studies in Computational Intelligence, 829, pp. 99–117
TAILOR – Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization
Horizon 2020 ID 952215; 2020 – 2024
The purpose of the EU Project TAILOR is to build the capacity to provide the scientific foundations for Trustworthy AI in Europe by developing a network of research excellence centres leveraging and combining learning, optimisation, and reasoning. These systems are meant to provide descriptive, predictive, and prescriptive systems integrating data-driven and knowledge-based approaches.
Position: member of the scientific staff
ORBIS – Ontological Representation for Security of Information Systems
APVV-19-0220; 2020 – 2024
The main goal of the project was to fully integrate modern ontology-based knowledge models into the field of information system security.
Position: member of the scientific staff
DyMAX – Dynamic Malware Analysis by eXplainable AI
APVV-23-0292, 2024 – 2028
The continuation of the ORBIS project.
Position: member of the scientific staff
KATO – Knowledge and Trust in Open Agent Environments
VEGA 1/0778/18; 2018 – 2021
The project focused on multi-agent environments required by application domains such as Ambient Intelligence (AmI), Smart Environments (SE), Internet of Things (IoT). They are open, with no centralized authority; heterogeneous, with data and knowledge possibly conflicting; and dynamic, with sensor information, agents and services changing in time. The project focused on novel knowledge management and reasoning techniques that form the basis of agents’ decision making, that are needed to deal with heterogeneity, applying conflict resolution, and cooperation strategies, and considering the issues of provenance, trust and security in such multi-agent systems.
Position: member of the scientific staff
VII.a - Activity, position | VII.b - Name of the institution, board | VII.c - Duration |
---|---|---|
Member of the acquisition committee | Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava | 2024—present |