Find Academic Supervisors

• Petri Net Theory
• Modeling and Simulation
• Reactive Systems
• +3 more

Prof. Gabriel Juhás is a leading academic at the Institute of Applied Informatics within the Faculty of Informatics at Paneuropean University PEVŠ. With a career spanning over three decades, his expertise bridges formal methods in computer science, particularly Petri net theory, with practical applications in low-code development platforms like Netgrif. Comenius University (BS, Mathematics and Physics, 1993) Slovak University of Technology (PhD, Electrical Engineering and Informatics, 1999) University of Eichstätt-Ingolstadt (Habilitation, Informatics, 2005) His research focuses on modeling event-driven systems using Petri nets, advancing algebraic descriptions of event concurrency, and developing polynomial algorithms for scenario feasibility. He co-created the Petriflow low-code language, enabling process-driven application development deployed in leasing, insurance, healthcare, and energy sectors. Key trends in his publications include formal verification of concurrent systems, token flow analysis in Petri nets, and the evolution of low-code platforms for business process management. His work emphasizes translating theoretical models into practical solutions through startups like NETGRIF. He has supervised over 100 theses, including three doctoral dissertations, and led 15+ research projects. His industry collaborations with AUDI AG and IBM demonstrate his commitment to bridging academia and practice.

• Neural Networks
• Deep Learning
• Biomedical Signal Analysis
• +4 more

Máté Hireš is an Assistant Professor at the Technical University of Košice's Department of Computers and Informatics. He earned his PhD in computer science from the same institution, specializing in Parkinson's disease diagnosis using deep learning for voice analysis. His doctoral research extended his master's thesis on distributed neural radiance fields for autonomous vehicles. Hireš's work bridges neural networks, deep learning, and biomedical applications, particularly in analyzing handwriting, speech, and signal data for neurological disorder detection. His publications demonstrate consistent focus on Parkinson's disease diagnostics through innovative machine learning approaches applied to voice recordings and handwriting samples. Research Focus Deep learning for pathological speech detection Handwriting analysis for neurodegenerative diseases Robust diagnostic model development Biomedical signal processing

Peter SzabóView profile

Associate Professor

• Mathematics
• Linear Algebra
• Computer Algebra
• +5 more

Peter Szabó is an Associate Professor at the Department of Aviation Technical Training , Faculty of Aeronautics , Technical University of Košice , Slovakia. He is actively involved in research at the intersection of mathematics, computer algebra, and aerospace engineering. Academic Affiliation: Technical University of Košice, Faculty of Aeronautics, Department of Aviation Technical Training Research Interests include: Mathematical modeling in aviation (Free Route Airspace, complex networks) Linear algebra and numerical methods with MATLAB/SageMath Calculus education and computational techniques Graph theory applications to air traffic systems Recent Article Trends highlight: Integration of calculus and numerical analysis for educational tools (2025) Mathematical axioms for airspace modeling (2022) Cloud computing in aviation research (2022) Linear algebra textbooks and computational exercises (2019) Advising : Mentored students on topics ranging from satellite stabilization to air traffic optimization.

Monika MolnárováView profile

Assistant Professor

• Discrete dynamical systems
• Max-plus algebra
• Production line modeling
• +3 more

RNDr. Monika Molnárová, PhD. is faculty at Technical University of Košice, teaching in the Department of Production Modeling. She holds consultations on Thursdays from 11:00-12:30 and can be reached at room N32 604 or by telephone at +421 55 602 3245. Her research interests focus on discrete dynamical systems and their applications in production modeling. Key areas include max-plus algebra, digraph applications, production line management, and matrix periodicity. Her work bridges theoretical mathematics with industrial applications, particularly in production systems optimization and steady-state analysis of dynamical systems. Dr. Molnárová teaches Discrete Dynamical Systems, Mathematics I-HI, and Mathematics II-HI courses. For the 2024/2025 academic year, she's teaching Mathematics 1 for Economic Informatics students in a combined format (online lectures via Webex, in-person exercises) and Discrete Dynamical Systems for Computer Modeling students in full-time format. First-year engineering students in the PM department select projects from her offerings by October 11, 2024. Her course materials demonstrate expertise in stability analysis of discrete dynamical systems, eigenspace calculations for reducible matrices, and robustness considerations in production systems. She provides specialized resources for students including credit sheets and exam letterheads in both A3 and A4 formats.

Zsolt SimonkaView profile

Associate Professor

• Applications of mathematical methods in economics
• Pension and health insurance
• Financial mathematics
• +3 more

Zsolt Simonka is an Associate Professor at the Department of Mathematics and Actuarial Science, Faculty of Economic Informatics, University of Economics in Bratislava. His work spans theoretical and applied mathematics in economic contexts, with a focus on pension systems, health insurance, and financial mathematics. Education: Mgr. (1997), PaedDr. (2000), PhD (2006) from Comenius University in Bratislava Academic roles: Assistant (1997–1999), Research Assistant (2000–2021), Associate Professor (2022–) His research integrates mathematical modeling with insurance frameworks, particularly in non-life insurance optimization and differential equations for health insurance applications. He has contributed to STEAM education through computer-aided teaching tools and innovative pedagogical methods. Recent publications in high-impact journals like Sustainability and Mathematics highlight his work on computer tools for education and reinsurance chain optimization. He has participated in VEGA and KEGA projects, focusing on financial risk and educational sustainability. While no specific scientific awards are listed, Simonka actively reviews for MDPI journals (Mathematics, Sustainability) and contributes to academic discourse through monographs and textbooks.

Michal TkáčView profile

Professor

• Quantitative Methods
• Business Economics
• Quality Management
• +5 more

Michal Tkáč is a Professor at the University of Economics in Bratislava , serving as the Dean of the Faculty of Business Economics with seat in Košice . He is affiliated with the Department of Quantitative Methods , where his work emphasizes the application of quantitative techniques and algebraic structures in business economics and quality management. Research Focus: Quantitative methods, quality management, graph theory, machine learning, and financial analytics. Projects: Led initiatives like "Technical and Economic Analysis of Coal Replacement" (2020), coordinated H2020 projects, and VEGA grants for AI in bond markets. His recent publications span topics such as population health in EU regions , neural networks in business , and environmental engineering . Key trends include integration of AI into economic modeling, graph-theoretic approaches to structural problems, and sustainability research. Michal Tkáč is a prominent member of international networks like the European Network for Business and Industrial Statistics (2007–present) and has held leadership roles in Slovak quality and statistical societies.

• Biomedical Informatics
• Neural Networks
• Speech Processing
• +3 more

Hireš Máté is an Assistant Professor at the Technical University of Košice. He specializes in Biomedical Informatics, Neural Networks, Speech Processing, and Biomedical Signal Processing. His teaching responsibilities include laboratory exercises for courses like Principles of Computer Engineering (PPI) and Computer Engineering and Secure Hardware (PIaZH), conducted in locations such as PK6_S03 and PK6_S09. His research focuses on applying machine learning and neural networks to medical diagnostics, particularly in detecting neurological conditions like Parkinson's disease through voice and handwriting analysis. He explores speech processing for hepatic encephalopathy diagnosis and handwriting dynamics for dysgraphia evaluation. His work bridges computational methods with clinical applications, emphasizing inter-dataset generalization and robust algorithm design. No scientific awards or funded grants are explicitly listed in the provided information. His academic contributions are primarily reflected in peer-reviewed publications and teaching activities. He advises no formally listed students, though his courses involve student laboratory work. His research projects are concentrated in biomedical signal analysis and AI-driven healthcare solutions.

Peter FarkašView profile

Professor

• Communication Theory
• Coding Theory
• Information Transfer
• +4 more

Prof. Ing. Peter Farkaš, DrSc is a distinguished academic at the Institute of Applied Informatics within the Faculty of Informatics at Pan-European University . He also teaches at the Faculty of Electrical Engineering and Information Technology (FEI STU) and has held visiting positions at the Faculty of Computer and Information Systems and Mathematics at Kingston University, UK. His career spans academia and industry, including roles at Tesla VRÚSE, Australian Telecommunications Research Centre, Siemens, and Sandbridge Technologies. Research Focus : Communication Theory, Coding Theory, and applications in information transfer, storage, and wireless systems. Key Contributions : Development of novel error-correcting codes (e.g., 5G LDPC codes, Reed-Solomon extensions), CRC polynomial design for E-DCH protocol, and multidimensional complementary codes. Publication Trends : Recent works emphasize coding theory advancements for 5G/LTE networks, multidimensional orthogonal codes for interference mitigation, and interdisciplinary applications of AI in democracy. His research bridges theoretical innovation with practical implementation in telecommunications. Scientific Awards : 2003: SIEMENS VIP recognition 2004: Werner von Siemens Excellence Award (with PhD student Matúš Turcsány) Advising & Grants : Supervised PhD students including Matúš Turcsány and collaborated with industry experts. Led EC-funded projects (NEXWAY, CRUISE, WINNER Phase II) and managed grants from VEGA, APVV, British Council, Royal Society, and DAAD. Labs & Collaborations : Active in the Institute of Applied Informatics at Pan-European University and contributed to projects with international institutions like Kingston University and SIEMENS PSE Slovakia.

Tatiana JajcayováView profile

Associate Professor

• Combinatorial Semigroup Theory
• Algebraic Combinatorics

Dr. Tatiana Jajcayová serves as Associate Professor and Department Chair at the Department of Applied Informatics, Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava. Her academic career combines leadership responsibilities with active research and teaching in discrete mathematics and theoretical computer science. Her research focuses on two primary areas: Combinatorial Semigroup Theory Algebraic Combinatorics Analysis of her recent publications (2021-2024) reveals a consistent research trajectory in theoretical discrete mathematics with occasional interdisciplinary applications. Her work primarily appears in specialized mathematics journals focusing on algebraic structures, graph theory, and computational aspects of semigroup theory. While most publications are theoretical, her 2021 paper on aphasia detection demonstrates ability to apply mathematical techniques to medical language processing problems. As Department Chair, Professor Jajcayová oversees all departmental operations while maintaining an active teaching schedule focused on foundational mathematics courses for informatics students. Her teaching responsibilities include: Discrete Mathematics I and II Mathematics for Informatics I and II Problem-Solving Methods in Artificial Intelligence Professor Jajcayová maintains an active research program with consistent publication output in specialized mathematics venues, demonstrating ongoing contributions to her field of expertise.