Web Application Performance Professors and Supervisors in Hungary

Gergely Kocsisمشاهده پروفایل

دانشیار

University of DebrecenHungary

Dr. Gergely Kocsis serves as an Associate Professor at the University of Debrecen's Faculty of Informatics, Department of Informatics Systems and Networks. His office is located in the Faculty of Informatics building at 4028 Debrecen, Kassai út 26, ground floor, IF13 (Lecturers' room), with contact email kocsis.gergely@inf.unideb.hu and central telephone +36 52 512 900 75013. Dr. Kocsis's research program focuses on: Information spreading phenomena Agent-based and individual-based simulations Cellular automata applications Network structure and dynamics His scholarly output reveals a sophisticated research trajectory evolving from foundational work on cellular automata modeling of social dynamics (2007-2014) to contemporary investigations of transportation networks, VANETs, and AI applications. The 2023-2025 publications demonstrate particular expertise in network extraction methodologies, containerized computing environments, and the application of generative AI to productivity challenges. His work consistently applies computational modeling approaches to understand complex spreading phenomena across diverse network structures. Dr. Kocsis maintains comprehensive scientific profiles across major academic platforms including Google Scholar, ResearchGate, ORCID, Scopus, and Web of Science, demonstrating active participation in the international research community. His departmental colleagues work in complementary areas such as complex networks, embedded systems, and neural networks, suggesting rich collaborative opportunities within the Faculty of Informatics.

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Róbert Tornaiمشاهده پروفایل

دانشیار

University of DebrecenHungary

Róbert Tornai serves as an Associate Professor in the Department of Data Science and Visualization at the Faculty of Informatics, University of Debrecen, Hungary. His institutional affiliation encompasses active participation in the department's core mission of advancing data processing, visualization, and computational methodologies within Hungary's academic landscape. His primary research focuses on high-performance data transfer in supercomputing environments, parallel data processing using memory-safe Rust programming, and virtual collaboration system development. These interconnected domains emphasize optimizing data-intensive workflows while ensuring system security and user accessibility, reflecting contemporary challenges in distributed computing infrastructure. Analysis of his 15 most recent publications reveals dominant trends in high-speed connectionless networking protocols (2020-2025), where he investigates performance optimization, error detection, and encryption for file transfer systems. Significant secondary themes include biometric security applications (iris/voice recognition) and GPU-accelerated image processing techniques leveraging WebAssembly and Vulkan API, demonstrating technical versatility across networking, security, and visualization domains. His scholarly output consistently addresses practical implementation challenges in data transfer and secure systems, with recent work extending into educational technology applications of 3D printing. This trajectory indicates sustained engagement with evolving computational paradigms while maintaining focus on real-world system performance and security requirements.

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Beatrix Mariann Lányiمشاهده پروفایل

دانشیار

University of PécsHungary

Beatrix Mariann Lányi is a habilitated Associate Professor at the Institute of Marketing and Tourism, University of Pécs. She heads the Department of Commerce and Marketing (since July 2025) and manages the Doctoral School of Regional Policy and Economics (since 2022). She also teaches Pharmaceutical Marketing and Healthcare Marketing courses at the Faculty of Pharmacy and Faculty of Health Sciences. Her educational background includes: BA in Finance MSc in Marketing MSc in English Translation PhD (2008) Habilitation (2019) Additionally, she holds professional certifications as a business coach and EMCC-accredited coach and mentor since 2024. Dr. Lányi's research centers on Innovation Marketing , Sustainable Innovations , and Healthcare Marketing . Her work extends to digital transformation in SMEs, consumer behavior, and technological innovation in sports. She bridges theoretical frameworks with practical applications in marketing and economics, contributing to both academic and industry advancements. Her recent publications (2021-2024) in journals like Management Science and Competitiveness Review highlight trends in digital competitiveness, sustainable consumption, and innovation adoption. These works emphasize the interplay between online presence, environmental awareness, and business performance in diverse sectors. No scientific awards, prizes, or fellowships were mentioned in the provided information. Dr. Lányi actively mentors through her roles as Program Manager of the Doctoral School and as a mentor at KarrierPont and Simonyi BEDC Entrepreneurship Development Center. Her advisory activities include: Doctoral School of Regional Policy and Economics (Program Manager since 2022) KarrierPont Center (Mentor since establishment) Simonyi BEDC Entrepreneurship Development Center (Mentor since establishment) She collaborates with the KarrierPont Center and Simonyi BEDC, and teaches at the Faculty of Pharmacy and Faculty of Health Sciences. Her work integrates academic research with practical applications in healthcare, pharmaceuticals, and entrepreneurship.

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Zoltán Szegedy-Maszákمشاهده پروفایل

استاد

University of Fine ArtsHungary

Digital Art
Media Art
Intermedia
+۴ مورد دیگر

Zoltán Szegedy-Maszák serves as Professor and Head of the Doctoral School at the Hungarian University of Fine Arts, where he previously held roles including General Vice-Rector (2009–present) and Head of the Department of Fine Arts Theory (2009–present). His academic trajectory began with Assistant Professorship in the Department of Intermedia in 1997, advancing to Associate Professor in 2003 before achieving full Professor rank through his doctoral school leadership. Education highlights: DLA (Doctor of Liberal Arts, Fine Arts), Hungarian University of Fine Arts (2003) 'dr. habil' qualification (2007) Diploma in Intermedia Department (1994) Diploma in Painting Department (1992) Postgraduate studies, Hungarian University of Fine Arts (1992–1994) Szegedy-Maszák's research interrogates the philosophical and technical boundaries of digital creation, with sustained focus on experimental photography (notably camera obscura and photogram techniques), networked art systems, and interactive installations that challenge perception. His theoretical work explores media archaeology, digital preservation, and the interplay between artistic practice and technological innovation, often examining how obsolete media forms inform contemporary digital culture. This manifests in projects like 'Cryptogram' and 'Aura' that investigate data encryption, virtual realities, and illusion mechanisms. His artistic output reveals consistent engagement with digital imaging, web-based interactivity, and real-time data systems, evolving from early computer animations (1991–1999) toward complex networked installations. Key themes include the archaeology of computing, interface design as artistic medium, and the philosophical implications of digital reproduction—particularly evident in his 2000–2010 publications analyzing virtual environments and interactive frameworks. Notable recognition includes: Munkácsy Mihály Award (2010) Camera Obscura award at Hungarian Museum of Photography (2008) Ferenc Deák Post-Doctoral Scholarship (2003–2004) Derkovits Scholarship (1999–2002) European Media Artists Residency at Bauhaus Dessau (1995) As doctoral thesis supervisor since 2003, he has mentored emerging media artists while developing innovative curricula like 'Introduction to the (An)Archaeology of Computers'—an ongoing educational resource. His collaborative work with C3 Cultural and Communication Center (1996–2002) and projects like 'Exploration Network' demonstrate commitment to interdisciplinary knowledge exchange. Current initiatives focus on preserving digital art heritage through frameworks like the '404 Project,' addressing media obsolescence while exploring new frontiers in networked artistic practice.

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Péter Eklerمشاهده پروفایل

دانشیار

Budapest University of Technology and EconomicsHungary

Péter Ekler is an Associate Professor at the Department of Automation and Applied Informatics , Budapest University of Technology and Economics (BME) , Hungary. He is affiliated with the Applied Mobile Research Group (AMORG) and the Applied Computer Science Group , focusing on cutting-edge research in AI, IoT, and mobile systems. Research Interests: Artificial Intelligence and Machine Learning Internet of Things (IoT) and Smart Cities Wireless Sensor Networks and Energy-Efficient Routing Network Coding and Mobile Peer-to-Peer Systems Blockchain and Distributed Systems Computer Vision and Sensor Data Analysis His recent work includes the development of AI-based thermal imaging systems, energy-aware IoT routing, and secure authentication mechanisms using JWT. He has published extensively on optimizing IoT performance, enhancing mobile streaming with network coding, and applying machine learning to real-world sensor data. Scientific Contributions: Published over 50 peer-reviewed articles from 2013 to 2023 Active on platforms like Google Scholar, Scopus, ResearchGate, and ResearcherID Research spans both technical systems and historical studies in science Contact & Affiliations: Email: Ekler.Peter@aut.bme.hu Location: Q.B226, Magyar tudósok krt. 2., Budapest 1117, Hungary Phone: +36 (1) 463-3702 LinkedIn: http://hu.linkedin.com/in/peterekler

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Enikő Nagyمشاهده پروفایل

پژوهشگر

Budapest University of Technology and EconomicsHungary

Enikő Nagy is a researcher at the Budapest University of Technology and Economics (BME), affiliated with the Kandó Kálmán Doctoral School and the Department of Transport Technology and Transport Economics. She has been actively contributing to transportation science since 2012, with a focus on airport operations, urban public transport automation, and railway delay analysis. Her research explores smart transportation systems, including integrated air passenger information systems , automated scheduling in urban transport , and airport smartness indices . She has collaborated with Csaba Csiszár and Daniel Karádi on studies addressing passenger flow optimization and mobile application development for air transport. Key trends in her work include the integration of smart technology in transport infrastructure, data-driven airport management , and performance evaluation methods for transport systems. Her publications span journals like the Journal of Air Transport Management and Acta Polytechnica Hungarica , with citations exceeding 100 across Scopus and Web of Science.

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Róbert Tóthمشاهده پروفایل

استادیار

University of DebrecenHungary

Róbert Tóth is an Assistant Professor at the University of Debrecen's Faculty of Informatics, Department of Information Technology. His work focuses on enhancing spatial abilities through emerging technologies, including gamification and augmented reality. Contact details: toth.robert@inf.unideb.hu, Office: 2nd floor, I228 Faculty of Informatics building. Research interests include: Spatial skill assessment and training using 3D modeling and interactive tools Integration of gamification and augmented reality in educational contexts Development of open-source software frameworks for cognitive training (e.g., viskillz-blender) Analysis of transportation data (GTFS/RT) and geospatial visualization techniques Optimization of educational systems and Smart Campus services Recent publications emphasize spatial reasoning development, gamified learning environments, and efficient handling of geospatial data through Python-based tools and Blender integrations. His work bridges software engineering, educational technology, and human-computer interaction.

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Imre Gáborمشاهده پروفایل

عضو هیئت علمی

Budapest University of Technology and EconomicsHungary

Imre Gábor is an Assistant Lecturer at the Department of Automation and Applied Informatics within the Faculty of Electrical Engineering and Informatics at Budapest University of Technology and Economics (BME). He is affiliated with the Applied Computer Science Group , focusing on software engineering and system performance. Office: Q.B224, Magyar tudósok krt. 2., Budapest 1117, Hungary Email: Imre.Gabor@aut.bme.hu Phone: +36 (1) 463-2713 Fax: +36 (1) 463-2871 His research spans Java-based systems , XML serialization , web application performance , and cloud computing . Recent work analyses WebSocket benchmarking , EC2 scalability , and application server tuning . Publications in Computer Science and Software Engineering highlight his expertise in distributed systems , XML technology , and enterprise application performance . He contributes to the BME Publication Registry and collaborates via platforms like Google Scholar and ResearcherGate . He is associated with the Applied Computer Science Group , which investigates theoretical and applied challenges in modern software development and system optimization.

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János Tóthمشاهده پروفایل

استادیار مدعو

University of DebrecenHungary

Dr. János Tóth is an Adjunct Assistant Professor at the Department of Data Science and Visualization within the Faculty of Informatics at the University of Debrecen. His research focuses on optimization of ensemble systems and big data analytics. Institution: University of Debrecen School: Faculty of Informatics Department: Data Science and Visualization Rank: Adjunct Assistant Professor Email: toth.janos@inf.unideb.hu Research Interests: Dr. Tóth specializes in optimizing ensemble systems for medical image analysis and big data processing. His work spans: Parameter optimization techniques for ensemble models Integration of classical image processing with deep learning Medical data visualization solutions Applications in diabetic retinopathy detection Handling unstructured Hungarian medical reports Cloud-based machine learning pipelines Publication Trends: Over the past decade, Dr. Tóth's research has shown consistent focus on medical image analysis (particularly fundus and Pap smear imaging) combined with ensemble learning approaches. His work includes algorithm optimization (2014-2022), data visualization techniques (2012-2024), and natural language processing for Hungarian medical reports (2024). Recent publications (2024) demonstrate continued innovation in machine learning applications for both healthcare and business domains.

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Dávid Szabóمشاهده پروفایل

دانشیار

Eötvös Loránd UniversityHungary

Dávid Szabó is a habilitated Associate Professor at the Institute of Romance Studies , Department of French Language and Literature , Eötvös Loránd University. His academic profile bridges sociolinguistics , focusing on argot and slang studies in French-Hungarian contexts, with computer graphics and C# software development . He has contributed to diverse fields, including AI in education , sustainable finance , and real-time graphics APIs . Research Highlights: His work explores the intersection of language evolution and technology, with recent publications on Green Finance , AI-driven educational tools , and parallel processing in graphics programming . He investigates linguistic taboos in Hungarian politics and translation challenges of urban French slang into Hungarian, while developing educational software like StudyHelper. Technical Contributions: Szabó has pioneered the integration of modern C# with graphics APIs (Vulkan, OpenGL) for real-time rendering , creating frameworks for multi-platform applications and shader program development . His technical papers emphasize code efficiency, API abstraction, and GPU optimization.

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Éva Hajnalمشاهده پروفایل

دانشیار

Óbuda UniversityHungary

Dr. Éva Hajnal is an Associate Professor and Vice Dean for Research at the Alba Regia Technical Faculty of Óbuda University. Her work focuses on interdisciplinary research spanning environmental monitoring technologies, artificial intelligence applications in agriculture, and sensor development. She leads efforts in livestock health monitoring using rumen bolus sensors and has contributed to ecological assessment methodologies using diatoms. Her email is hajnal.eva@amk.uni-obuda.hu , and she is located at Room 25 in Building K on Budai út 45. Her research integrates computer science with ecological challenges, addressing issues like groundwater quality and wind energy modeling. Research interests include: Biosensor development for livestock health AI-driven environmental data analysis Ecological status assessment using diatoms Virtual reality and motion tracking systems Online mapserver technologies Recent work emphasizes long-term rumen temperature analysis, low-computational algorithms for cattle heart rate estimation, and multilingual handwritten character datasets. Her research trends show strong focus on applying computational methods to ecological and agricultural challenges. She has contributed to projects like wastewater management control systems and biodiversity indices for freshwater ecosystems. No specific scientific awards are listed. Her administrative role as Vice Dean for Research involves overseeing research strategy and collaboration at the faculty level. No advising or grant details are provided in available texts. Her work is associated with the university's technical faculty and environmental engineering teams, contributing to both academic and applied research initiatives.

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Beatrix Lányiمشاهده پروفایل

دانشیار

University of PécsHungary

Dr. Beatrix Lányi is an Associate Professor at the Department of Marketing and Tourism within the Faculty of Economics and Administrative Sciences at the University of Pécs (Hungary). She habilitated in 2019 and earned her PhD in 2008, with academic credentials in Finance (BA), Marketing (MSc), and English Translation (MSc). Since 2024, she serves as a certified business coach accredited by EMCC. Education: BA in Finance, MSc in Marketing, MSc in English Translation, PhD (2008), Habilitation (2019), EMCC-accredited business coach (2024) Roles: Program Director for Commerce and Marketing (2025+), Programme Manager for PhD Programme in Regional Development (2022+), mentor at CareerSpot and Simonyi BEDC Centres Teaching: Cross-faculty courses in Health Care Marketing and Pharmacy Marketing at University of Pécs International Experience: Lectured at institutions in Canada, France, Denmark, Finland, UK, Lithuania, Spain, Turkey, and Austria Her research emphasizes Innovation Marketing , Sustainable Innovations , and Health Care Marketing , with recent publications exploring technological innovation in sports performance, digital transformation of SMEs, and sustainability-driven consumer behavior. She also engages in cross-disciplinary applications like pharmaceutical marketing and regional development programs. Her collaborative work spans multiple countries and institutions, focusing on e-commerce, digital competitiveness, and market dynamics in SMEs. She has contributed to journals like Statisztikai Szemle and Competitiveness Review , often addressing intersections between digitalization, sustainability, and market strategy.

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