جست‌وجوی استاد و پژوهشگر

• English Pronunciation Teaching
• Technology-Enhanced Language Learning
• Phonetics and Phonology
• +۳ مورد دیگر

Assoc. Prof. Hana Vančová, PhD., is a dedicated academic at Trnava University's Faculty of Education, where she has served as an Associate Professor in the Department of English Language and Literature since 2013 (promoted from Assistant Professor following her 2022 habilitation). Currently Deputy Head of Department for Education, she oversees curriculum development and serves as study advisor for single-subject and combined English language teacher education programs at bachelor's, master's, and doctoral levels. Her institutional commitment spans over a decade with full-time employment since 2013. Education: 2004–2009: Master of Arts (Mgr.) in English Language and Literature – Slovak Language and Literature, Faculty of Education, Trnava University 2009–2012: Doctor of Philosophy (PhD.) in Pedagogy, Faculty of Education, Trnava University 2019: Professional Development: "Teaching languages in the digital era: the best apps, web platforms and ICT solutions for learning languages", Institute for Training, Employability and Mobile Learning Hana Vančová's scholarly work centers on English pronunciation pedagogy , with pioneering research in technology-enhanced instruction . Her primary domains include phonetics and phonology , lexicology , and digital language learning tools , investigating how AI, mobile applications, and multimedia resources optimize pronunciation acquisition. She bridges theoretical linguistics with practical classroom applications through ergonomic educational design, emphasizing learner-centered methodologies that address sociolinguistic factors like accent identity and intelligibility. Her habilitation thesis established her as a key innovator in pronunciation technology. Analysis of Vančová's publication trajectory (2014-2024) reveals a decisive shift from foundational studies on Slovak learners' pronunciation errors toward cutting-edge research on AI-driven pronunciation training. Her recent work explores karaoke-based methods and ethical AI implementation in CALL (Computer-Assisted Language Learning), highlighting human-AI interaction dynamics. The consistent thread is her commitment to making pronunciation instruction accessible through technological innovation, with publications increasingly addressing inclusivity, ethical considerations, and ergonomic design in digital language learning environments. While no specific scientific awards are documented beyond her academic promotion, Vančová's habilitation procedure—evaluated by an international committee including scholars from Poland, Czech Republic, and Slovakia—represents significant scholarly recognition. Her work has received 36 citations (14 foreign, 22 domestic) as of 2021. As study advisor for English language teacher training programs, Vančová mentors students across bachelor's, master's, and doctoral studies, guiding curriculum development for profile subjects in phonetics, lexicology, and digital language education. She maintains structured consultation hours (Wednesdays 10:00-11:30, study advising 11:30-13:00 via MS Teams) and demonstrates sustained research productivity through monographs, textbooks, and peer-reviewed articles. Though specific grant funding isn't detailed, her habilitation thesis exemplifies capacity for substantial scholarly projects with practical pedagogical impact. No dedicated laboratories or formal research teams are documented; Vančová's academic activities operate within the Department of English Language and Literature framework, focusing on individual research initiatives and departmental leadership in educational technology integration.

• Consumer behavior
• Retail management
• Image research
• +۵ مورد دیگر

Professor Vanda Lieskovská is a faculty member at the Department of Commercial Entrepreneurship, Faculty of Commerce, University of Economics in Bratislava. She holds the academic rank of Professor and has maintained an active research and teaching career spanning several decades with a focus on marketing applications across various domains. Professor Lieskovská's research interests encompass consumer behavior, retail management, image research, marketing in university practice, green marketing, health policy applications, marketing communication, and sensory marketing. Her scholarly work demonstrates particular expertise in applying marketing principles to healthcare contexts, sustainable development initiatives, and consumer behavior analysis in both traditional and emerging markets. Analysis of Professor Lieskovská's publication record reveals a clear trajectory from foundational marketing and consumer behavior research toward more specialized applications in healthcare marketing, sustainable development, and sensory marketing. Her recent work shows increasing emphasis on interdisciplinary approaches that bridge marketing theory with public health, economic policy, and sustainability science. She has published extensively in both Slovak academic venues and international journals, with publications ranging from theoretical explorations to practical applications of marketing concepts. Throughout her career, Professor Lieskovská has led numerous significant research projects including multiple VEGA projects, KEGA projects, and international collaborations with institutions across Europe. Her work has been supported by substantial research funding, reflecting the academic community's recognition of her contributions to marketing scholarship and practice. Professor Lieskovská has maintained active engagement with the academic community through service on scientific councils, editorial boards, and various professional committees. Her international collaborations and lecture visits across Europe demonstrate her commitment to advancing marketing knowledge through cross-cultural academic exchange and practical application in diverse business environments.

• 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.

• Electric Motor Control
• Power Electronics
• Sensorless Control
• +۳ مورد دیگر

Dr. Karol Kyslan serves as Associate Professor and Vice-Dean for Research at the Faculty of Electrical Engineering and Informatics, Technical University of Košice, where he leads research initiatives and doctoral education programs. His academic profile centers on advanced control systems for electrical drives, with institutional affiliation deeply rooted in industrial automation applications. His research expertise spans sensorless control of Permanent Magnet Synchronous Motors (PMSM) , finite control set model predictive control , and sliding mode observers , addressing critical challenges in low-speed operation, fault tolerance, and industrial implementation. Key application domains include material processing lines, rotary shears, and steel production systems, where his work bridges theoretical control algorithms with practical machinery dynamics. Analysis of his 2021-2025 publications reveals a strategic evolution toward integrating machine learning for fault diagnosis while maintaining core focus on high-frequency signal injection techniques. Recent work demonstrates increasing sophistication in torque ripple compensation and real-time optimization, with growing emphasis on multiphase machine control and hardware-in-the-loop validation for industrial deployment.

• Human-Computer Interaction (HCI)
• User Experience (UX)/Usability
• Domain Analysis
• +۳ مورد دیگر

Michaela Bačíková is an Assistant Professor at the Faculty of Electrical Engineering and Informatics (FEI) of the Technical University of Košice (TUKE). Her research focuses on Human-Computer Interaction (HCI), domain usability, and domain analysis, with an emphasis on graphical user interfaces (GUIs), domain-specific languages (DSLs), and gesture-driven interaction. She leads the development of the DEAL tool, a domain analysis framework for extracting domain models from software systems. Her teaching includes courses on component-based programming, web technologies, and user interface design. Research Projects: DEAL (Domain Extraction ALgorithm) : A tool for analyzing GUIs to generate DSLs, ontologies, and usability metrics. EU Project: 'Evolving Architectural Knowledge in the Edge-to-Cloud Continuum' (participant). Educational initiatives: Integrating gesture-driven IDEs and social networks for mentoring in programming courses. Research Interests : Automated domain usability evaluation using DEAL. DSL-driven GUI generation and feature modeling. Innovations in teaching software development and user experience design. Grants & Labs : Recipient of FEI TUKE Grant no. FEI-2015-16 for domain usability metrics research. Active in the FEI lab developing DEAL and related tools.

Matej Lorkoمشاهده پروفایل

استادیار

• Behavioral Economics
• Experimental Economics
• Project Management
• +۳ مورد دیگر

Matej Lorko is an Assistant Professor at the Department of Insurance, Faculty of Economics and Finance, Bratislava University of Economics and Business. He holds a PhD from Macquarie Business School, Sydney. His research focuses on behavioral and experimental economics with emphasis on decision-making processes, project management efficiency, and public policy interventions. Education: PhD in Economics from Macquarie University (Sydney, Australia). Active research areas include behavioral nudges in tax compliance, effectiveness of charitable contributions, and improving project planning accuracy through controlled experiments. He runs the Bratislava Behavioral and Economic Experiences for Research Lab (bee4R LAB) and contributes to the SecureDataLab initiative. Key research programs involve: Economic experiments in project management (2016–2020) Enhancing charitable contribution effectiveness (since 2019) Behavioral tax compliance studies (since 2021) His work combines laboratory experiments with real-world applications, focusing on how cognitive biases affect decision-making in professional and policy contexts. Notable contributions include demonstrating anchoring effects in project duration estimates and developing interventions to improve schedule accuracy. Labs/Teams: bee4R LAB (behavioral economics experiments), SecureDataLab (data-driven policy analysis).

Jana Faixová Chalachanováمشاهده پروفایل

استادیار

• Geographic Information Systems (GIS)
• Spatial Modeling
• CAD Systems in Geodesy
• +۴ مورد دیگر

Jana Faixová Chalachanová is an Assistant Professor at the Department of Global Geodesy and Geoinformatics, Faculty of Civil Engineering, Slovak University of Technology in Bratislava. Since 1998, she has contributed to teaching and research in geospatial technologies, CAD systems, and data interoperability. Teaching Subjects: Geoinformatics, GIS in Building Sciences, Spatial Modeling in GIS, CAD Systems in Geodesy, Programming, Web Technologies in GIS Current Research Focus: Geographic Information Systems, spatial modeling of geoobjects, optimization of spatial analyses, and integration of heterogeneous geospatial data Her research spans applications in archaeology, solar radiation modeling, and environmental protection, leveraging LiDAR data and fuzzy logic frameworks. She has participated in multiple VEGA and APVV projects as a researcher and project leader. Scientific grants and projects she has participated in include: VEGA 1/0300/19 - 3D solar radiation modeling on tree vegetation APVV-0249-07 - Prediction of archaeological sites (project leader) VEGA 1/1035/04 - Standardization of geographic information (project leader) VEGA 1/5062/1998 - Geoinformation model of agricultural regions

Michal Stašمشاهده پروفایل

مدرس

• Graph Theory
• Combinatorics
• Discrete Mathematics
• +۳ مورد دیگر

Michal Staš is a Lecturer at the Technical University of Košice, Slovakia. His current contact information includes the email michal.stas@tuke.sk and office N32 619. He teaches courses in Linear and Quadratic Programming , Computer Modeling , and Mathematics II . His research focuses on Graph Theory , particularly on problems related to crossing numbers , cyclic permutations , and join graph operations . His recent publications (2020–2022) analyze crossing numbers of graphs combining wheels, paths, cycles, and discrete graphs, using techniques like cyclic permutations. Keywords from his work include Graph Theory , Combinatorics , Discrete Mathematics , and Computational Geometry .

Orhan Sismanمشاهده پروفایل

پژوهشگر

• Semiconductors
• Metal Oxide Nanomaterials
• Organic-inorganic hybrid nanomaterials
• +۵ مورد دیگر

Orhan Sisman is a Researcher in the Department of Functional Materials at Alexander Dubček University of Trenčín, Slovakia. He contributes to the Centre for Functional and Surface-Functionalized Glass (FunGlass), a Horizon 2020 project focused on advanced glass materials. His work bridges materials science and sensor technology, with particular emphasis on developing next-generation gas detection systems using nanomaterials. Education: 2020: Ph.D. in Information Engineering-Physics Curriculum, University of Brescia, Italy (Thesis: Strategies to Enhance the Performances of Metal Oxide Gas Sensors) 2016: M.S. in Physics, Gebze Technical University, Turkey (Thesis: Fabrication of Organic/p-type Semiconducting Metal Oxide Hybrid Structures for Gas Sensing Applications) 2013: B.S. in Physics Education, Middle East Technical University, Turkey Dr. Sisman specializes in semiconductor nanomaterials for sensing applications. His research spans metal oxide nanomaterials, organic-inorganic hybrids, and glass/ceramic systems with focus on hydrogen, NO 2 , and humidity detection. He investigates structural, electrical, and surface properties of nanostructured materials to develop sensors with improved selectivity and sensitivity. His work integrates materials synthesis, surface engineering, and device fabrication for environmental monitoring and safety applications. His publication record shows consistent advancement in sensor technology, evolving from fundamental material characterization to sophisticated device engineering. Recent work emphasizes hybrid and core-shell nanostructures, UV-enhanced sensing, and ion beam surface modification techniques to optimize sensor performance. The publications demonstrate strong international collaboration across European research institutions. Research Projects: HORIZON 2020 FunGlass Project (2021-2023) - Researcher CERIC-ERIC Project (2018) - Research Fellow COST ACTION TD1105 EuNetAir (2016-2018) - Research Fellow COST ACTION MP1202 HINT (2016-2018) - Research Fellow VEGA Project No: 1/0844/21 - Researcher TUBITAK Project No: 113F403 (2016-2018) - Research Assistant Dr. Sisman maintains active collaborations with institutions across Europe including Friedrich Schiller University Jena, University of Brescia, Vinca Nuclear Institute, and multiple COST Action networks. He has participated in numerous research training programs and short-term scientific missions, contributing to his expertise in advanced materials characterization and sensor development. His work within the FunGlass center positions him at the forefront of functional glass research in Europe.

• Phytoremediation
• Heavy Metal Contamination
• Plant Taxonomy
• +۷ مورد دیگر

Ingrid Turisová serves as Associate Professor and Vice-dean at Matej Bel University's Faculty of Natural Sciences, Department of Biology and Environmental Studies. She has been a university teacher since 1998 and is a member of the Central Slovak Center of Science and Education. Her academic leadership includes co-guaranteeing the PhD Environmental Biology program for the 2022/2023 academic year. Education: 2014: Assoc. Prof. in Environmental Protection (VSB - TU Ostrava) 2009: PhD in General Biology (Comenius University) 1989: Dr. in Biology (Comenius University) Turisová's research centers on phytoremediation of heavy metal-contaminated mine heaps through plant bioindication, specializing in heavy metal translocation dynamics in substrate-plant systems. Her work integrates floristic-ecological analysis of anthropogenically impacted areas with grassland management optimization and taxonomic studies of Crepis , Daphne , and Erysimum genera. She examines vegetation responses to environmental stressors across Slovakia's ecosystems. Recent publications reveal consistent focus on heavy metal phytoremediation mechanisms (40% of works), vascular plant taxonomy (30%), and grassland ecology (30%). Her research bridges laboratory analysis of metal translocation with field studies of spoil heap rehabilitation, demonstrating strong interdisciplinary integration between environmental botany and restoration ecology. Scientific Awards: Silver Award at the Green Apple Awards 2004 (House of Commons, UK) 2nd Place in Energy Globe Competition (Winners YOUTH 2004) Turisová actively supervises PhD candidates as co-guarantor of Environmental Biology doctoral studies while leading multiple competitive grants. Her current research portfolio includes 6 major projects (2021-2026) with combined funding exceeding €1.2M, primarily from VEGA and APVV sources. She directs projects on narrow-endemic Daphne arbuscula evolution and alpine lake paleoenvironmental archives. As member of the Central Slovak Center of Science and Education, she collaborates with Slovak Academy of Sciences researchers on mine heap rehabilitation. Her team develops phytoremediation protocols for copper-contaminated sites while maintaining long-term grassland monitoring networks across Slovak Natura 2000 protected areas.

• 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.

• Business Economics
• Waste Management
• Sustainable Development
• +۵ مورد دیگر

Michal Stričík is an Associate Professor at the Department of Commercial Entrepreneurship within the Faculty of Commercial Entrepreneurship at the University of Economics in Bratislava. He serves as a study advisor for the second-degree program in Corporate Financial Management (CFM-Michalovce) and teaches courses including Environmental Economics, Green Marketing, Hospitality Management, and Regional Development. Research Interests : Business economics, waste management, sustainable development, environmental economics, and regional development, with a focus on municipal waste policy, citizen behavior, industrial energy efficiency, and food safety. Publications span topics such as sustainable waste systems, consumer behavior analytics, and antimicrobial food preservation. His work integrates environmental economics with practical applications in business and regional planning. Scientific projects include grants like VEGA 1/0450/24 and KEGA 035EU-4/2022 , emphasizing policy adaptation and post-pandemic sustainability challenges. No formal awards are listed in the provided text.

• Financial Markets
• Artificial Intelligence in Finance
• Risk Analysis
• +۳ مورد دیگر

Robert Verner is an Associate Professor at the Department of Quantitative Methods within the Faculty of Economics and Business at the University of Economics in Bratislava. His work focuses on financial markets, optimization methods, and statistical modeling, contributing to both academic research and practical applications in business analytics. His recent publications span topics such as: Computational finance and machine learning Stock market forecasting with neural networks Risk analysis in insurance using AI Educational assessment frameworks He has also participated in international research initiatives and collaborative programs, including the Central Europe Connect initiative, which brings together students from leading business schools in Warsaw, Bratislava, and Vienna.

• Econometrics
• Operations Research
• Macroeconomic Modeling
• +۴ مورد دیگر

Prof. Martin Lukáčik, PhD, is a Professor at the Department of Operations Research and Econometrics, Faculty of Economic Informatics, University of Economics in Bratislava. His academic career spans over two decades, focusing on econometric modeling, macroeconomic analysis, and operations research applications. Education: 2005: PhD in Econometrics and Operations Research, University of Economics in Bratislava 1998: Master's in Operations Research and Econometrics, University of Economics in Bratislava His research interests include econometrics, operations research, spatial spillover effects, and fuel price asymmetry. Recent projects analyze pandemic impacts on EU economies, asymmetric fuel pricing, and spatial economic dynamics. He has supervised doctoral students such as Ádám Csápai (2021–2024), Martin Benkovič (2013–2018), and Patrik Kupkovič (2013–2016). Grants include VEGA 1/0052/24 (structural parameter estimation) and KEGA 026EU-4/2024 (interactive economics books). Prof. Lukáčik is actively involved in international collaborations, including ERASMUS+ mobilities in Prague, Ostrava, and Split. He serves on scientific councils and editorial boards for journals like Equilibrium .

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