جستجوی استاد راهنمای دانشگاهی

• Grid Computing
• Parallel Computing
• Cloud Computing
• +۴ مورد دیگر

Vladimír Siládi, PhD, serves as Assistant Professor and Head of the Department of Computer Science at Matej Bel University in Banská Bystrica, Slovakia, where he has held academic positions since 1995. His current roles include Project Coordinator for the Virtual University initiative and Registration Authority for SlovakGrid, with prior experience as a part-time Assistant Professor at Slovak University of Technology. Educational Background: PhD in Computer Science, Slovak University of Technology in Bratislava (1997-2007) Master's in Theology, Comenius University in Bratislava (2003-2008) Master's in Secondary Education and Teaching (cum laude) and PaedDr. (EdD), Matej Bel University (1988-1993, 2005) High School Diploma, GMN Banská Štiavnica (1984-1988) His research centers on Grid Computing architectures , parallel processing techniques , and security frameworks for distributed systems . Specialized expertise includes GPU-accelerated algorithms for NP-hard problems, trust models in ad hoc grid environments, and cloud-based educational platforms. His interdisciplinary work bridges computer science with environmental modeling and psychological applications through virtual reality systems. Publication analysis reveals a consistent focus on computational optimization across 12 major works (2006-2014), with recent contributions emphasizing trust intersection models for decentralized grids (2012-2013) and cloud-based educational infrastructure (2013). Earlier works established foundations in GPU-accelerated network topology optimization and genetic algorithms for irregular systems (2006-2010). Scientific Awards: No awards documented in source materials Project leadership includes the Virtual University of Matej Bel University (ITMS 26110230077) coordinating 85 team members across 280 courses, plus TEMPUS-FLACE distance learning development (1998-2000). His registration authority role for SlovakGrid since 2009 supports national research infrastructure. Departmental leadership involves managing the Computer Science team while teaching core courses in algorithms, grid technologies, and GPU programming, maintaining consultation hours for student engagement.

• Parallel Programming
• GPU Programming
• Image Processing
• +۵ مورد دیگر

Sándor Szénási is a Professor at the Department of Informatics within the Faculty of Economics and Informatics at J. Selye University, where he serves as the person responsible for the Applied Informatics study program. With over two decades of academic experience, he has established himself as a leading researcher in parallel programming, GPU programming, and image processing, with recent expansion into machine learning applications. Eötvös Loránd University, Faculty of Science and Informatics (2001-2004): Information technology teacher Budapest Polytechnic, John von Neumann Faculty of Information Technology (1997-2001): B. Engineer in Information Technology Óbuda University (2010-2013): PhD in Applied Informatics Habilitation at Óbuda University (2019): Information Science and Technology Professor inauguration at Óbuda University (2022) Szénási's research spans computational methods with practical applications across multiple domains. His early work focused on parallel and GPU programming for image segmentation and heat transfer simulation. More recently, he has integrated machine learning techniques with traditional computational approaches, particularly in metaheuristic optimization, speech processing, and inverse problem solving. His interdisciplinary research bridges computer science with transportation safety, manufacturing, and medical applications. His recent publications reveal a clear evolution toward hybrid computational approaches that combine machine learning with traditional algorithms. There is a strong emphasis on optimization techniques, particularly metaheuristics enhanced with machine learning components. His work spans diverse application areas including speech emotion recognition, autonomous vehicle control, additive manufacturing, and heat transfer simulation, while maintaining a core focus on computational efficiency and parallel processing. Szénási has been actively involved in multiple EFOP-funded research projects including 'Improvement of higher education institutes for better teaching quality and accessibility,' 'Dynamics and control of autonomous vehicles,' and 'Solving the Inverse Heat Conduction Problem with Machine Learning.' His collaborative work with researchers like Gábor Kertész, Zoltán Vámossy, and Imre Felde demonstrates his commitment to interdisciplinary research.

KOŠŤÁL, Igorمشاهده پروفایل

استادیار

• Distributed Technologies
• Parallelization of Desktop and Distributed Applications
• .NET Remoting
• +۳ مورد دیگر

Igor Košťál is an Assistant Professor at the Department of Applied Informatics within the Faculty of Economic Informatics at the University of Economics in Bratislava . His research focuses on Distributed Technologies , Parallelization of Applications , and Data Structure Optimization , particularly in the context of .NET frameworks and industrial robotics. University: University of Economics in Bratislava School: Faculty of Economic Informatics Department: Department of Applied Informatics Academic Rank: Assistant Professor Košťál's work emphasizes software performance testing , with publications analyzing execution efficiency in .NET applications using parallel programming , Dijkstra's algorithm , and symbol table implementations . His recent research explores modern UI development in mobile applications and algorithm optimization for industrial robotics. Key trends in his 15 most recent articles (2014-2022) include: Performance analysis of parallel and sequential algorithms in .NET environments Optimization of data structures (arrays, linked lists, skip lists) for search efficiency Integration of asynchronous methods in WCF services and clients Testing precision in KUKA welding robots through structured data extraction

Miroslav Melicherčíkمشاهده پروفایل

استادیار

• High Performance Computation
• Parallel computation
• Computer Vision
• +۳ مورد دیگر

Miroslav Melicherčík serves as an Assistant Professor at the Department of Computer Science, Faculty of Natural Sciences, Matej Bel University in Banská Bystrica, Slovakia. He has held this academic position continuously since 2013 while maintaining research connections with Comenius University in Bratislava. Education: 2002-2007: Mgr. in Chemistry-Computer Science, Faculty of Natural Sciences, Matej Bel University 2003-2008: Mgr. in Computer Science-English Language and Literature, Faculty of Natural Sciences, Matej Bel University 2011: RNDr. in Theoretical and Computational Chemistry, Faculty of Natural Sciences, Comenius University 2008-2012: PhD in Theoretical and Computational Chemistry, Faculty of Natural Sciences, Comenius University Dr. Melicherčík's research spans multiple computational domains with emphasis on High Performance Computation and Parallel computation methodologies. His work uniquely bridges Computer Vision applications with Computational Chemistry principles, while maintaining strong practical focus through Microcontroller Programming and Machine Learning implementations. This interdisciplinary approach enables innovative solutions across theoretical and applied computing domains. As an educator, he teaches a comprehensive curriculum including Algorithms and Data Structures, Programming, Effective Algorithms, Computer Systems, Internet of Things, Parallel Programming, Microcontroller programming, Quantum computing, and 3D modelling and printing. His teaching methodology integrates theoretical foundations with hands-on technical implementation, preparing students for both academic research and industry applications. Dr. Melicherčík maintains active research collaborations through the Center for High Performance Computing and the Center for Geoinformatics and Digital Technologies at Matej Bel University. His consultation hours are Monday-Wednesday 8:00-10:00, reflecting his commitment to student engagement and academic mentorship.

• Fuzzy Sets
• Intuitionistic Fuzzy Sets
• Data Analysis
• +۶ مورد دیگر

Alžbeta Michalíková serves as Associate Professor at Matej Bel University's Faculty of Arts, Department of Computer Science. Her academic profile spans mathematical foundations and applied computational research with significant contributions to fuzzy logic systems. Her research focuses on Fuzzy Sets and Intuitionistic Fuzzy Sets with applications in Computer Vision, Biology, and Medicine. She investigates mathematical properties of these structures and explores integrations with Neural Networks and Evolutionary Algorithms. Recent work emphasizes smart city applications, air quality analysis, and digital education tools. Her publication trends show evolution from theoretical fuzzy mathematics (2005-2015) to applied AI systems (2020-present), particularly in environmental monitoring and transportation systems. Key themes include uncertainty modeling, image classification, and real-time data processing for urban applications. Erasmus+ KA2 projects on air pollution technologies (2022-2024) KEGA projects for digital educational tools (2020-2025) VEGA research on fuzzy models (2011-2017) APVV projects on scientific outreach She teaches Mathematics for Computer Scientists, Numerical Methods, and specialized Fuzzy Sets courses. Her technical infrastructure includes ORCID (0000-0002-0568-9279), SCOPUS (24448471500), and ResearchGate profiles. Current work focuses on digital identification keys for mycology education and AI-driven smart city analytics.

• Computer Architecture
• Parallel Computing
• High-Performance Computing
• +۱ مورد دیگر

Norbert Ádám is an Associate Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Košice. He serves as Head of the Laboratory of Computer Architectures and Security and as expert guarantor for the Informatics and Information Technologies program at the University of the Third Age in Košice. His research focuses on: Parallel architectures of specialized high-performance computing systems Design, simulation and performance evaluation of parallel computer architectures Computer security systems Dr. Ádám teaches Parallel Computer Systems for Master's students and Computer Systems Architecture for Bachelor's students, including both lectures and laboratory exercises across multiple semesters. He maintains active professional engagement through: Membership in the Slovak Society for Applied Cybernetics and Informatics Participation in the pedagogical committee of the University of the Third Age in Košice Extensive conference committee involvement spanning SAMI conferences (2005-2025) and INES conferences (2011-2024)

Csaba Szabóمشاهده پروفایل

دانشیار

• Green Software
• Green IT
• Software Evolution
• +۱۰ مورد دیگر

Assoc. Prof. Ing. Csaba Szabó, PhD is an Associate Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Košice . His research focuses on Green Software/IT, Software and Testware Evolution, Behavioral Description of Software, Computer Simulation, Virtual Reality, Information/Web/Cloud Systems, and Autonomic Computing (Self-Healing/Self-Testing). He teaches courses in Software Engineering, Database Systems, and Modeling/Prototyping. Projects: ERASMUS+ KA1 Coordinator, CEEPUS Coordinator, Type Theory Education in IT, Bridge Prestressing Forces Analysis Conference Roles: Organizing Committee (Informatics'11, '15), Program Committee (AIeLE’15, IeLSs 2012), Reviewer (SISY 2013–2018, SCYR 2012–2017). Publications: Authored monographs on parallel computing, software testing, and large data processing. His 2015 work on compressor station throughput modeling was published in Nonlinear Analysis: Modelling and Control .

• Information Systems
• E-Learning
• Distributed Systems
• +۵ مورد دیگر

Pavol Jurík serves as an Assistant Professor at the Department of Applied Informatics within the Faculty of Economic Informatics at the University of Economics in Bratislava. He holds the additional role of Secretary of the department. His academic work focuses on advancing information systems and educational technologies. Research Interests: Jurík's research spans distributed systems, e-learning methodologies, business process optimization, and emerging technologies. Key areas include: Innovations in educational technology and networked learning systems Distributed database architectures and sensor network optimization Business process modeling using composition diagrams Impact of big data analytics on decision-making processes Development of ERP systems and supply chain management tools Publication Trends: Recent works (2019-2022) demonstrate a strong focus on e-learning effectiveness, distributed computing solutions, and business process modeling. Jurík frequently collaborates on international publications examining technological innovations in education and industry applications. Grants and Projects: Actively participates in research grants including VEGA 1/0373/18 (Big Data processing) and KEGA 019EU-4/2020 (Networked Education). Contributes to international conferences such as TIEES and AIESA.

• R Programming
• Data Visualization
• Cloud Computing
• +۴ مورد دیگر

Pavol Sojka is a PhD student at the Department of Applied Informatics , Faculty of Economic Informatics , University of Economics in Bratislava. He teaches courses such as Algoritmy a programovanie 1 , Jazyk R , and Python , focusing on programming and data analysis.

Michal Pitoňákمشاهده پروفایل

دانشیار

• Quantum Chemistry
• Computational Chemistry
• Non-covalent Interactions
• +۳ مورد دیگر

Assoc. Prof. Michal Pitoňák serves as Associate Professor and department website administrator at the Department of Physical and Theoretical Chemistry, Faculty of Science, Comenius University in Bratislava. His research focuses on quantum chemistry methodology development with applications in non-covalent interactions and computational efficiency, supported by VEGA research project 1/0777/19. His core research areas include: Quantum Chemistry and Theoretical Chemistry Non-covalent Interactions in molecular systems Approximate quantum-chemical method development High-Performance Computing optimization Parallel programming for computational chemistry Chemical reactivity modeling Analysis of his 2009-2019 publications reveals consistent advancement in non-covalent interaction modeling, progressing from fundamental method validation (2009-2010) to large-system benchmarking (2013) and computational optimization (2018-2019). His work bridges quantum chemistry theory with high-performance computing to solve computationally intensive chemical problems. No scientific awards were documented in the source material. Prof. Pitoňák leads research project VEGA-1/0777/19 on advanced numerical mathematics and programming. The provided information does not indicate any graduate student supervision. He operates within the Department of Physical and Theoretical Chemistry, which conducts fundamental research in quantum chemistry, molecular modeling, and computational methodology development at Comenius University's Bratislava campus.

Lukáš Félix Paštekaمشاهده پروفایل

پژوهشگر

• Relativistic and QED effects in chemistry
• Properties of heavy and superheavy elements
• Computational protocols for theoretical uncertainty
• +۴ مورد دیگر

Lukáš Félix Pašteka is a researcher at the Department of Physical and Theoretical Chemistry, Comenius University in Bratislava. He holds roles such as co-investigator and principal investigator in multiple grants, including the Horizon-MSCA Doctoral Networks project on negative ions and Slovak VEGA projects focusing on molecular interactions. His research spans relativistic quantum chemistry, heavy element properties, and molecular photoswitches. Currently on sabbatical at the University of Groningen, he leads theoretical efforts in radioactive molecule applications, parity violation studies, and computational protocols for theoretical uncertainty. Teaching roles include advanced courses in theoretical and computational chemistry, as well as contributing to international conferences and Olympiad problem design. Research interests include relativistic effects in chemistry, superheavy elements, and experimental-theoretical collaborations (e.g., with CERN ISOLDE). Key projects include designing molecular photoswitches, exploring electron correlation in RaF, and investigating fundamental constant variations. He has published in top journals like Nature Communications and Physical Review Letters , with a focus on enhancing molecular properties for physics discovery. Active in department administration and public outreach, he also evaluates proposals for the Slovak National Supercomputing Centre. Recent articles emphasize parity violation in chiral molecules, photoswitching mechanisms, and relativistic effects in radium monofluoride. His work bridges computational chemistry with experimental validation, aiming to advance fundamental physics through molecular systems.

• Computer Graphics
• Virtual Reality Technologies
• User Interfaces
• +۱ مورد دیگر

Branislav Sobota is an Associate Professor at the Technical University of Kosice. He teaches courses such as Virtual Reality Systems (VRS), including both lectures and laboratory exercises, and conducts research in computer graphics, virtual reality technologies, user interfaces, and parallel computing. He is affiliated with the university's Letná 9 building, specifically room B515 (formerly B527). His consultation hours are currently undefined. Research Focus: Computer Graphics Virtual Reality Technologies User Interface Design Parallel Computing Teaching Activities: Virtual Reality Systems (VRS) lectures and laboratory exercises Dr. Sobota's work integrates theoretical and applied aspects of interactive technologies, with a focus on advancing virtual reality systems and optimizing computational methods for real-time graphics and interface design. His research profile is documented on Publons .

• Parallel Computing
• Computer Architecture
• Distributed Systems
• +۱ مورد دیگر

Ján Hurtuk serves as an Assistant Professor at the Technical University of Košice, actively teaching laboratory exercises for Parallel Computer Systems (PPS) in room PK6_104 (PC14) on Wednesdays (10:50-12:20) and Fridays (13:30-15:00). He holds consultation hours every Wednesday from 9:00 to 11:00 in room PK6, number 001 (old numbering: 28). Though his official research focus is listed as "Undefined," his teaching specialization in parallel computing systems demonstrates core expertise in Parallel Computing, Computer Architecture, Distributed Systems, and High Performance Computing. His academic contributions center on practical implementations of advanced computing architectures and system-level optimizations for computational efficiency.

Juraj Štefanovičمشاهده پروفایل

دانشیار

• Computer Science
• Artificial Intelligence
• Medical Data Processing
• +۳ مورد دیگر

Juraj Štefanovič is an Associate Professor and Head of the Institute of Applied Informatics at the Pan-European University . He specializes in Modeling and Simulation , Operating Systems , and interdisciplinary applications of AI in medical data processing and education. Teaches Discrete Dynamic Systems , Parallel Programming , and Usability in User Interfaces . Coordinated international research projects ACCREDIT (2017-2019) and EWA (2020-2023). Executive editor of the ITA professional magazine. Manages a Lego Robot Laboratory for secondary/elementary school outreach. Research Trends : Combines AI with medical diagnostics, system modeling, and educational robotics. Recent work focuses on neurodegenerative disease detection and Industry 4.0. Publications : Span textbooks (Operating Systems) and conference papers on simulation, cybernetics, and testing methodologies. Labs & Teams : Organizes the FIRST Lego League regional tournament for Bratislava and Western Slovakia.

Branislav Rovanمشاهده پروفایل

استاد

• Theoretical Computer Science
• Formal Languages
• Automata Theory
• +۳ مورد دیگر

Professor Branislav Rovan is a faculty member at the Department of Theoretical Computer Science within the Faculty of Mathematics, Physics and Informatics at Comenius University in Bratislava, Slovakia. He holds the academic rank of Professor and maintains an active research program in theoretical computer science. His research interests include: Theoretical Computer Science Formal Languages Automata Theory Computational Complexity Parallel Computing Theory Information Theory Professor Rovan's recent publications (2014-2023) demonstrate a consistent focus on theoretical aspects of formal languages and automata. His work examines topics such as unary regular languages, language decomposability, finite approximations of languages, and weighted automata models. These publications appear in reputable journals including Information and Computation, International Journal of Foundations of Computer Science, and Information Processing Letters. Professor Rovan is actively involved in teaching and student supervision: Teaches Formal Languages and Automata courses (both parts 1 and 2) Teaches Theory of Parallel Computing Supervises annual projects and master's theses Teaches Informatics and Society and Selected Topics in Language Theory Professor Rovan can be contacted at his office M 259, by telephone at 02/602 95 102 or 02/654 26 635, or by email at rovan@dcs.fmph.uniba.sk. His personal webpage is available at http://www.dcs.fmph.uniba.sk/index.php/BranislavRovan.