جست‌وجوی استاد و پژوهشگر

• Additive Manufacturing
• Biomass Compaction
• Material Science
• +۷ مورد دیگر

Prof. Ing. Juraj Beniak, PhD is a leading academic at the Institute of Production Engineering and Production Quality (Faculty of Mechanical Engineering, Slovak University of Technology in Bratislava, STU). He serves as a Professor CSc., PhD and holds external collaborator roles at the Institute of Computer Engineering and Applied Informatics (FIIT) and the Institute of Manufacturing Technologies (MTF). His research bridges mechanical engineering and sustainable production. Office: U.V.I.P. SjF, Office 537 Contact: +421 2 57296 537 | +421 905 593 953 (mobile) Beniak's research focuses on additive manufacturing , biomass compaction , and smart production technologies . He investigates 3D printing parameter optimization, surface modification techniques, and composite material development from renewable sources. His work addresses both industrial applications and environmental sustainability through advanced manufacturing. Key projects include: OP R&I: Automation in freight railway vehicle production (2019–2023) APVV-18-0527: Additive manufacturing technology development (2019–2022) Recovery Plan: AI-driven waste management systems (2024–2026) As a KEGA grant guarantor and APVV co-investigator , he leads initiatives in CAx education, virtual laboratories, and biofuel production optimization. His contributions span from experimental equipment design to mathematical modeling of compaction processes.

• Computer Science Education
• Educational Technology
• Virtual Reality
• +۵ مورد دیگر

Patrik Voštinár is an Assistant Professor at the Department of Computer Science , Faculty of Natural Sciences , Matej Bel University . Holding a PhD in Applied Computer Science from the same university (2014-2017), he teaches courses in Programming , Discrete Mathematics , Web Technologies , and Android Programming . As department head and study advisor, he actively shapes academic programs and student experiences. Matej Bel University (2017-present) Department of Computer Science Faculty of Natural Sciences His research focuses on computer science education and educational technology , with particular emphasis on: VR/AR applications in teaching Game-based learning environments Microcontroller programming pedagogy Mobile application development education Physical computing tools for K-12 Adaptive learning interfaces His work with MakeCode , micro:bit , and EEG-controlled games demonstrates innovative approaches to programming education. He has received multiple eLearning competition awards for educational courseware development. Heart on the palm (Project of the year 2019) 2nd price in eLearning competition (2023) for Discrete Mathematics course Price of České společnosti pro systémovou integraci (2023) for Web Technologies 1st price in eLearning competition (2023) for Geometry Didactics Voštinár actively contributes to academic communities through: Membership in DIDINFO conference program (since 2017) Editorial Board member of Elementary Mathematics Education Journal Organizing workshops for primary/secondary students Popularizing informatics through extracurricular programs

Jana Fortesمشاهده پروفایل

مدرس

• Signal Processing
• Localization Technology
• Tracking Systems
• +۳ مورد دیگر

Jana Fortes is a Lecturer at the Faculty of Electrical Engineering and Informatics, Technical University of Košice, Slovakia. She teaches Applied Statistics, Cryptography, and Mathematics courses, including Numerical Mathematics and Probability and Statistics. Her research focuses on signal processing for localization and tracking systems using Ultra-Wideband (UWB) radar and sensor networks. Teaching: Applied Statistics, Cryptography, Mathematics I/II, Numerical Mathematics, Probability and Statistics, Mathematics Tutoring Research: UWB radar signal processing for person localization and tracking, software development (MATLAB, LabVIEW), cluster analysis for movement detection. Publications: Recent work includes studies on 2D/3D localization algorithms, UWB sensor system implementations, and mathematical analyses of graph crossing numbers. Contact: Email: jana.fortes@tuke.sk , Room N32 615, Phone: +421 55 602 3252.

Naqibullah Daneshjoمشاهده پروفایل

دانشیار

• Innovation Management
• Industrial Robotics
• Sustainable Business Practices
• +۳ مورد دیگر

Naqibullah Daneshjo is an Associate Professor at the Department of Marketing, Faculty of Economics and Finance, Bratislava University of Economics and Business. His academic work focuses on innovation management, industrial robotics, and sustainable business practices. PhD in Economics and Business Diploma in Engineering (Dipl. Ing.) Research interests include: Innovation management in enterprises Simulation modeling for industrial processes Aerodynamics and noise reduction in automotive design Environmental quality management in supply chains Recent publications span topics from product innovation frameworks to computational modeling of industrial robots. He leads research projects on sustainable logistics and has collaborated on studies related to automotive manufacturing. He coordinates grants such as: KEGA 032EU-4/2020: Implementation-educational model of intelligent business logistics VEGA 1/0251/17: Innovative cost accounting models for material-energy flows Contact information includes office hours on Tuesdays (13:00-15:00) and a phone number +421 2 6729 1584. No email address is listed in the provided materials.

Július Hlaváčمشاهده پروفایل

استادیار

• Software Engineering
• Business Intelligence
• Data Mining
• +۳ مورد دیگر

Július Hlaváč serves as an Assistant Professor at the Faculty of Informatics of the Pan-European University. His work integrates theoretical knowledge with practical applications in software engineering, business intelligence, and enterprise IT architecture. Position: Assistant Professor Workplace: Institute of Applied Informatics Phone: +421 2 6820 3685 Email: julius.hlavac@paneurouni.com Hlaváč emphasizes bridging academia and industry through teaching subjects like IT Project Management , Software Engineering , and Enterprise Architecture . He has supervised over 60 diploma theses at the university. His research spans Business Intelligence , Data Mining , and Information Security , focusing on extracting hidden patterns from datasets to support decision-making. Recent publications with Juraj Štefanovič (2020) and collaborators (e.g., Ružický et al., 2020) demonstrate expertise in machine learning, medical data visualization, and enterprise IT systems. Project: GAAA Challenge (Project number: GAAA 12/2018) Laboratory: Think Future Laboratory Miscellaneous achievements: PRINCE2 Foundation certification. Active in university governance as a member of the Academic Senate and representative on the Council of Universities.

Dusan Medvedمشاهده پروفایل

دانشیار

• Electrical Power Engineering
• Electrothermal Technology
• Power System Modeling
• +۶ مورد دیگر

Associate Professor Dušan Medved serves at the Department of Electrical Power Engineering within the Faculty of Electrical Engineering and Informatics at the Technical University of Košice. As Head of the Electricity Generation and Distribution Department, he plays a key leadership role in shaping electrical engineering education and research at the institution. His extensive teaching portfolio spans fundamental electrical engineering concepts through to specialized topics in power systems and renewable energy technologies. Medved's research interests primarily focus on power system modeling, renewable energy integration, and smart grid technologies . His work demonstrates particular expertise in photovoltaic systems, electric vehicle integration, electromagnetic field analysis, and power quality assessment. He has developed significant expertise in using EMTP-ATP software for power system transient analysis and has published extensively on modeling techniques for electrical power engineering applications. An analysis of his recent publications (2023-2024) reveals a strong emphasis on the integration of renewable energy sources into power grids, with particular attention to photovoltaic systems, electric vehicle charging infrastructure, and energy storage solutions. His work bridges theoretical modeling with practical implementation challenges, addressing critical issues such as grid stability during high renewable penetration, optimal sizing of energy storage systems, and maximizing self-consumption of locally generated renewable energy. The interdisciplinary nature of his research connects electrical engineering with energy economics and environmental considerations. Medved has been actively involved in teaching a wide range of courses including Fundamentals of Electrical Engineering, Electrothermal Technology, Electrical Energy Transformations, and Modeling in Electrical Power Engineering. His teaching materials demonstrate a hands-on approach with practical assignments covering resistance furnace design, arc steelmaking furnace analysis, and power system modeling using EMTP-ATP software. His commitment to education is evident in his development of numerous teaching resources and student projects spanning from 2012 to the present.

• 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.

Yannick Cornetمشاهده پروفایل

پژوهشگر

• Sustainable Transport Appraisal
• Transportation Systems
• Travel Time Valuation
• +۳ مورد دیگر

Dr. Yannick Cornet serves as a Senior Researcher of Intelligent Transport Systems at the University of Žilina, Slovakia, where he joined the ERAdiate research team in February 2018. His work primarily focuses on sustainable transport appraisal and transition within the H2020 Mobility and Time Value (MoTiV) project. His research expertise centers on sustainable transport indicators, innovative decision-support tools for complex sustainability aspects like equity and long-term environmental impacts, and smartphone-based multi-modal diaries for experiential travel data collection. Cornet bridges quantitative and qualitative methodologies, conducting structured interviews with experts while analyzing diverse transport scales from local cycling to national high-speed rail projects. His work emphasizes traveler perspectives in door-to-door journeys and socio-technical enablers for real-time car-pooling. Analysis of his 15 most recent publications reveals consistent focus on travel time valuation frameworks, multimodal experience assessment, and sustainable urban mobility transitions. Key themes include 'worthwhile travel time' conceptualization, 15-minute city navigation challenges, and paradoxes in smart mobility innovations. His methodology heavily utilizes smartphone-based data collection across European contexts. Cornet actively engages with transport stakeholders including planning agencies, industry CEOs, and civil society. He co-authored the Transport 2050 Strategic Outlook for the TRANSFORuM project, contributing to European White Paper transport goals. His professional background includes 10 years as a project manager in telecommunications prior to academia. His educational background spans multiple continents: PhD in Transport from Technical University of Denmark (2016) with visiting research at University of Oxford; Master's in Technological and Socio-Economic Planning from Roskilde University (2013); and Bachelor's in Software Engineering from Sherbrooke University, Canada (1997).

• Formal Languages
• Programming Language Semantics
• Cybersecurity
• +۵ مورد دیگر

William Steingartner is an Associate Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Košice (TUKE). He specializes in formal languages, programming language semantics, cybersecurity, and computer science education. His research focuses on advancing pedagogical tools for teaching formal semantics, compiler design, and secure software development. He actively contributes to academic governance, serving as Principal Investigator on projects like 'Application of new principles in the education of IT specialists' and participating in 'Evolving Architectural Knowledge in the Edge-to-Cloud Continuum.' Dr. Steingartner holds editorial roles, including guest editor for the Central European Journal of Computer Science (since 2011) and editor of proceedings for conferences like INFORMATICS 2019. He has organized major events such as the International Scientific Conference Informatics in 2013, 2015, 2017, and 2019, demonstrating leadership in academic event management. His teaching spans formal languages, logic for computer scientists, and domain-specific language design. Research highlights include developing tools like OnlineProver for formal logic education and RISCAL for semantics visualization. He explores cybersecurity challenges in hybrid threats, API security, and cyber resilience strategies, alongside innovations in VR applications for therapy and education. Key contributions include over 50 publications since 2015, with recent work addressing disinformation campaigns, smart orthosis design, and pedagogical software for programming semantics. He emphasizes interdisciplinary collaboration, bridging theoretical computer science with practical applications in medicine, robotics, and user experience design.

• Software Engineering
• Program Comprehension
• Build Systems
• +۴ مورد دیگر

Matúš Sulír is an Assistant Professor at the Department of Computer Science and Engineering, Faculty of Electrical Engineering and Informatics, Technical University of Košice. He specializes in software engineering, program comprehension, and educational methodologies in programming. He teaches courses like Základy softvérového inžinierstva (Foundations of Software Engineering) and actively contributes to research in software build systems, domain-specific languages, and usability evaluation. His research interests include Java build processes, educational tools for programming, and empirical studies on software quality and testing. He has published extensively on topics such as automated test case identification, voice command APIs, and large-scale software build analysis. His work often integrates empirical methods with practical software development challenges. No awards or advisory roles are listed, and there are no explicitly mentioned research grants or projects. His academic contributions focus on advancing software engineering practices through empirical research and tool development.

• Petri Net Theory
• Modeling and Simulation
• Reactive Systems
• +۳ مورد دیگر

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.

• Computer Science
• Information Systems
• Software Engineering
• +۳ مورد دیگر

Robert Gallas serves as a Lecturer in the Department of Computer Science at Matej Bel University (MBU) in Banská Bystrica, Slovakia. Holding the engineering title Ing. , he is an active university teacher with responsibilities spanning teaching and academic consultation across the institution's faculties. His research expertise centers on computational disciplines, with primary focus on: Information Systems design and management Software Engineering methodologies Artificial Intelligence applications Data Science analytics Computer Networks infrastructure Database Systems architecture Consultation hours are available Monday through Friday, and direct contact is facilitated via institutional email.

Karol Szomolányiمشاهده پروفایل

دانشیار

• Econometrics
• Macroeconomics
• Economic Modeling
• +۵ مورد دیگر

Karol Szomolányi is an Associate Professor in the Department of Operations Research and Econometrics at the Faculty of Economic Informatics, University of Economics in Bratislava. He has been a university teacher at the institution since 1999, following his engineering role in the same faculty from 1994-1999. His academic career spans over two decades at this institution, where he has established himself as a prominent researcher and educator in econometrics and macroeconomics. Dr. Szomolányi's research focuses on econometric modeling, price analysis, and macroeconomic dynamics. His work particularly examines asymmetric price adjustments in energy markets, business cycles in post-communist European countries, and the impact of trade terms on Central European economies. He has made significant contributions to understanding the Slovak economy's response to external shocks and monetary interventions. His scholarly output includes several monographs, textbooks, and numerous peer-reviewed articles in reputable journals. Notably, he has co-authored the book "Bayesovská ekonometria" (Bayesian Econometrics) and multiple introductory econometrics textbooks featuring various software platforms including R, EViews, and Gretl. His research demonstrates a consistent focus on applying econometric methods to real-world economic problems, particularly in the Central European context. Dr. Szomolányi has been actively involved in numerous research grant projects, both as principal investigator and co-investigator. Currently, he leads two major projects: VEGA 1/0052/24 on estimating key structural parameters of contemporary macroeconomic models (2024-2026), and KEGA 026EU-4/2024 on creating an interactive web-based book for quantitative economic analysis (2024-2026). His previous projects have examined pandemic impacts on EU economies, short-term and long-term dynamics of European post-communist countries, and economic policy coherence in Europe. As an educator, Dr. Szomolányi teaches courses across all three levels of study. At the bachelor's level, he teaches Economic Analysis I & II and Management Science II. For master's students, his courses include Quantitative Economics I & II and Applied Macroeconometrics. At the doctoral level, he offers Quantitative Macroeconomics and Macroeconometrics. Dr. Szomolányi has supervised doctoral students, including Michaela Blaško (2015-2018) whose dissertation focused on European economic convergence processes with emphasis on Slovak economy dynamics. His teaching and research activities demonstrate a strong commitment to advancing econometric methods and their application to contemporary economic issues in Central Europe.

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

Peter Procházkaمشاهده پروفایل

استادیار

• Internet of Things (IoT)
• UX Design
• Multimedia Applications
• +۳ مورد دیگر

Peter Procházka is an Assistant Professor at the University of Economics in Bratislava, affiliated with the Faculty of Economic Informatics and the Department of Applied Informatics . His teaching and research focus on IoT , UX Design , Multimedia Applications , and technical education. His research spans several subfields, including: IoT : Development of educational tools using Arduino, smart device integration, and open-source platforms. Generative AI : Prompt engineering for neural networks and machine learning applications. Web Analysis : SEO tools, linguistic summaries for data visualization, and compliance with public administration standards. His publications highlight a trend toward data-driven decision-making in technology, including big data, machine learning, and IoT frameworks. He has also contributed pedagogical works on computer hardware, multimedia, and IoT, alongside collaborative studies on digital citizenship and pandemic response in educational institutions.