جست‌وجوی استاد و پژوهشگر

Sándor Jeneiمشاهده پروفایل

استاد

• Algebra
• Algebraic Logic
• Non-Classical Logics
• +۳ مورد دیگر

Sándor Jenei is a Full Professor and Department Head at the Department of Informatics within the Institute of Mathematics and Informatics at the University of Pécs. He holds advanced degrees including D.Sc. (Mathematics), dr. habil. (Mathematics & Computer Science), and Ph.D. (Mathematics). His research focuses on Algebra, Algebraic Logic, Non-Classical Logics, and Artificial Intelligence, with notable contributions to solving the 'Mystery of the Fifth Logical Notion'. Leadership Roles: Served as President of the Mathematics and Informatics Committee of the Regional Center of the Hungarian Academy of Sciences (2014–2023). Grants & Projects: Led major grants including the Marie Curie Reintegration Grant, OTKA K-76811, and SROP-funded regional competitiveness projects. Participated in international collaborations with Luxembourg, Flanders, and Japan. Awards: Recipient of the Bolyai Research Grant, Magyary Zoltán Grant, and multiple national/international fellowships.

Petra Kralj Novakمشاهده پروفایل

دانشیار

• Knowledge Discovery from Databases
• Social Media Analysis
• Sentiment Analysis
• +۴ مورد دیگر

Petra Kralj Novak is an Associate Professor in the Department of Network and Data Science at Central European University (CEU), and a researcher at the Department of Knowledge Technologies at the Jožef Stefan Institute in Ljubljana. She specializes in knowledge discovery from databases, focusing on social and mainstream media analysis, particularly in sentiment analysis and hate speech detection combined with network analysis. Her work includes groundbreaking studies on emoji sentiment and the role of emojis in conveying emotion. Education: PhD in Computer Science, Jožef Stefan International Postgraduate School, Ljubljana, Slovenia BSc in Computer and Information Sciences, University of Ljubljana, Slovenia Research Interests: Analysis of hate speech and misinformation dynamics Social media network structures and community evolution Machine learning applications for contextual and cross-lingual analysis EU-funded projects on political extremism and stroke outcome improvement Key Projects: Coordinator of the EU-funded IMSyPP project on hate speech monitoring Theme leader for CIVICA's Data-Driven Technologies for Social Sciences Research in EU projects OppAttune and TRUSTroke Publications: Over 50 papers, including seminal works on emoji sentiment analysis and hate speech datasets. Recent focus on multilingual hate speech modeling, community evolution in social networks, and annotation quality frameworks.

• Computer Vision
• Image Processing
• Lighting Technology
• +۴ مورد دیگر

Géza Várady is an Associate Professor at the University of Pécs (PTE), holding roles such as Vice Dean for Scientific Affairs at the Faculty of Engineering and Information Technology. He has served as Head of the Department of Technical Informatics and has held various academic leadership positions. His career spans over two decades, with research focusing on computer vision, image processing, and lighting technology. He holds a PhD from the Doctoral School of Informatics at the University of Pannonia. Education includes a Master’s degree in Computer Engineering and a PhD in Informatics. He has also held research positions internationally, such as a Leonardo Fellowship at Schefenacker GmbH in Stuttgart, Germany. His research interests include mesopic vision models, color correction systems, 3D depth sensing using monocular cameras, and drone-based applications. He leads the drone research team and has supervised doctoral students in areas like image data correction and 3D modeling. Notable achievements include the 2024 Publication Excellence Award, IBM Faculty Awards for adaptive lighting systems, and the Walsh Weston Award for contributions to lighting science. He actively participates in academic governance, serving on national committees like the Hungarian Academy of Sciences’ Engineering Sciences Committee and the John von Neumann Computer Society. Publications span over 100 articles in journals like Lighting Research and Technology and Technical Gazette , focusing on topics ranging from photogrammetry to autonomous drone control. He has authored textbooks on MPI programming and computer architecture.

Ferenc Kruzsliczمشاهده پروفایل

دانشیار

• Business Informatics
• Data Mining
• Text Mining
• +۳ مورد دیگر

Dr. Ferenc Kruzslicz serves as an Associate Professor in the Department of Business Informatics at the Faculty of Business and Economics, University of Pécs, with office B122 and email kruzslicz.ferenc@ktk.pte.hu. His academic journey began with a theoretical mathematics degree from József Attila University of Szeged, followed by teaching positions at Veszprém and Pécs Universities. He earned his absolutorium from Szeged's Informatics Doctoral School in 1998 and completed doctoral studies in Economics at Pécs' Faculty of Economics. His research spans Business Informatics , Data/Text Mining , and Business Intelligence , with expertise in opinion analysis and intelligent web search engines. Current work focuses on data collection methodologies and optimization problems in logistics. Recent publications reveal an interdisciplinary trajectory: applying computational methods to business contexts (SME competitiveness), advancing cluster labeling techniques through external text integration, and solving biomass logistics scheduling via mathematical programming. As a founding member of Pécs' business informatics programs, he led accreditation efforts and managed full-time curricula. He established the university's Big Data research group, institutionalizing business intelligence education while developing content management systems through applied project management.

• Computer Science
• Automation
• Materials Informatics
• +۲ مورد دیگر

Kelemen Zsolt serves as an Assistant Professor at the Department of Computer Science and Automation within the Faculty of Electrical Engineering and Informatics at Budapest University of Technology and Economics (BME). His research bridges Computer Science and Materials Science , with specialization in Automation and Materials Informatics . This interdisciplinary focus enables computational approaches to materials engineering challenges, particularly through AI-driven modeling and control systems. His distinguished recognition includes: Prestigious Marie Skłodowska-Curie Individual Fellowship (MSCA-IF) Featured as MSCA Fellow of the Week by the Marie Skłodowska-Curie Actions Communication group Dr. Kelemen secured competitive European funding through the MSCA-IF program, supporting a two-year research residency at the Barcelona Institute of Materials Science where he advanced computational materials research methodologies.

• Thermal transient testing
• Semiconductor device modeling
• LED characterization
• +۳ مورد دیگر

András Poppe is a Professor and Head of Department at the Department of Electron Devices , Budapest University of Technology and Economics . He is also a member of the Strategic Innovation Group at SIEMENS Digital Industry Simulation and Test Solutions since 2021. His academic journey began with an MSc in Electrical Engineering (1986) from BME, followed by a Cand.Sci. degree (1996) from the Hungarian Academy of Sciences and a PhD (1996) from BME. His research focuses on thermal transient testing of semiconductor devices, LED/OLED characterization , electro-thermal simulation , and digital twin development for LEDs and luminaires. Recent publications highlight his work on Multi-domain modeling for Industry 4.0 Thermal management in LED systems Compact model validation Phosphor layer effects in white LEDs Standardized LED datasheets Electro-thermal failure analysis in OLEDs Poppe has received the Harvey Rosten Award for Excellence twice (2012, 2017) for contributions to electronics physical design. He leads the Hungarian Scientific Research Fund grant (128315, 2018-2022) on LED aging investigation and participates in EU projects like Delphi4LED and AI-TWILIGHT . He chairs the CIE TC2-84 committee and co-founded the JEDEC JC15 and CIE TC2-91 standardization groups.

Attila Krajcsiمشاهده پروفایل

دانشیار

• Numerical Cognition
• Cognitive Psychology
• Educational Psychology
• +۳ مورد دیگر

Attila Krajcsi is a habilitated Associate Professor at Eötvös Loránd University , affiliated with the Faculty of Education and Psychology and the Department of Cognitive Psychology . He leads the Numerical Cognition Research Group and develops the CogStat statistical analysis software. Research focus: Numerical cognition, symbolic number processing, Approximate Number System (ANS), cognitive development, and methodological issues in psychology. Software contributions: CogStat, an automated statistical tool for cognitive research with APA-format output. Scientific outreach: Active on Twitter ( @krajcsi ), co-organizer of Best Practices in Data Analysis symposia, and advocate for open science. Collaborations: Works with international researchers on ANS measurement in children and statistical software evaluation. Contact: krajcsi.attila@ppk.elte.hu | krajcsi@gmail.com

• Complex function theory
• Approximation theory
• Geometry
• +۳ مورد دیگر

Professor Géza Kós is a distinguished mathematician at Eötvös Loránd University's Faculty of Science in Budapest, Hungary, with a career spanning over four decades. His primary appointments are in the Department of Analysis and Institute of Mathematics, with additional affiliation to the PhD Informatics Doctoral School. Since 1979, he has maintained a parallel appointment with the Computer Science Research Group at the Hungarian Academy of Sciences' Institute for Computer Science and Control. Professor Kós specializes in complex function theory and approximation theory , with significant contributions to geometric mathematics. His research often bridges theoretical concepts with practical applications in mathematical puzzles and Olympiad problem solving. He is particularly known for his innovative work on "Proofs that go into space," exploring 3D geometric constructions and transformations. His publication record includes 87 works with 886 citations, featuring both research articles in mathematical journals and educational content for secondary mathematics teachers and students. Professor Kós has been instrumental in the International Mathematical Olympiad, authoring the official shortlisted problems with solutions for six consecutive Olympiads (2019-2024). His scientific contributions have been recognized through his ongoing role in shaping mathematical competitions worldwide. His educational impact extends through his regular contributions to Hungarian mathematics education journals, where he presents advanced mathematical concepts in accessible formats for secondary school educators and students. Professor Kós maintains an active academic presence with his personal website at ELTE (https://kosgeza.web.elte.hu) and can be tracked through his ORCID (0000-0002-2221-4558), Google Scholar, and other academic indexing services.

Ferenc Kunمشاهده پروفایل

استاد

• Physics of Complex Systems
• Theoretical Physics
• Statistical Physics
• +۴ مورد دیگر

Prof. Dr. Ferenc Kun is a full Professor and currently serves as the Dean of the Faculty of Science and Technology at the University of Debrecen, Hungary. He is affiliated with the Department of Theoretical Physics within the Institute of Physics, where he leads research in the physics of complex systems. His academic work is deeply integrated into the department's long-standing tradition of theoretical and computational physics research. His research interests focus on the physics of complex systems , particularly the statistical mechanics of fracture and failure in disordered materials. His work involves computational modeling of crack propagation, breakdown phenomena, and collective behavior in heterogeneous systems. These areas sit at the intersection of theoretical physics, materials science, and nonlinear dynamics. The Department of Theoretical Physics has a rich history dating back to 1949, and under various leaders, it has expanded into solid-state physics, quantum chemistry, and high-energy physics. Prof. Kun contributes to this legacy by leading a research group on complex systems, involving both students and doctoral candidates. The department is equipped with advanced computing resources to support simulations and theoretical work. Prof. Kun has no listed scientific awards in the provided text, but his leadership as Dean and active research role suggest strong recognition within the academic community. There is no mention of specific grants or advising activities, though he is involved in training students through research groups. The department is located at Bem tér 18, Debrecen, in the Institute of Physics Building II, and shares space with the Department of Experimental Physics and the ATOMKI research institute, fostering interdisciplinary collaboration.

Koczor-Keul Melindaمشاهده پروفایل

استاد مدعو

• Healthcare Economics
• Aging Population and Public Policy
• Sustainable Healthcare Systems
• +۲ مورد دیگر

Dr. Koczor-Keul Melinda is an Adjunct Professor at the Department of Business Economics within the Doctoral School of Economics and Organizational Sciences at Pannon University . She has been active since at least 2007, contributing to academic research in healthcare economics, fiscal policy, and corporate governance. Education: MA in Financial & Accounting Strategies (2005, Transilvania University of Brasov), PhD in Economics & Organizational Sciences (2018, Pannon University) Her research focuses on the sustainability of healthcare systems under demographic aging , fiscal policy in post-communist EU members , and corporate risk management . Her publications span topics like e-government, capital structure determinants, and competitiveness analysis, reflecting interdisciplinary engagement with economic policy and business strategy. Publications highlight expertise in European fiscal integration , stakeholder dynamics , and computational finance . She teaches courses in Corporate Economics , Accounting , and Public Finance , and maintains professional proficiency in English and Romanian. Scientific Awards: Higher Education Quality Award 2008 Contact: koczor-keul.melinda@gtk.uni-pannon.hu . Office hours: Mondays 14:00–15:00.

Zoltánné Csabinaمشاهده پروفایل

مدرس ارشد

• Mathematics
• Computer Graphics
• Educational Technology
• +۳ مورد دیگر

Zoltánné Csabina is a Senior Lecturer at Óbuda University's Alba Regia Faculty of Engineering, affiliated with the Institute of Geoinformatics in Székesfehérvár, Hungary. With a career spanning decades, she specializes in integrating mathematical tools and computer graphics into education. Education: Certified Teacher of Mathematics and Descriptive Geometry from Kossuth Lajos University of Science, Faculty of Natural Sciences (1978) Her research focuses on computational geometry, interpolation methods for computer graphics, multimedia applications in pedagogy, and using mathematical software like Maple V to enhance analysis teaching. She has published extensively in these areas, accessible via the MTMT database. Scientific Awards: 1986 - Rector's Commendation 1995 & 2006 - Outstanding Instructor 2015 - GEO Commemorative Medal 2015 - Honorary Associate Professor 2017 - János Nagyváthy Award Contact: csabina.zoltanne@amk.uni-obuda.hu | Tel: +36 22 200 410, +36 22 200 460

György Hudobaمشاهده پروفایل

دانشیار

• Optics
• Fiber Optic Technology
• Holography
• +۵ مورد دیگر

Dr. György Hudoba is an Associate Professor at Óbuda University's Alba Regia Faculty of Engineering, affiliated with the Institute of Engineering. He holds a PhD in Physical Sciences from ELTE (2017) and a university doctoral degree from BME (1995), with a background in Physics from József Attila University (1974). Primary research interests: Optics, Fiber Optic Technology, Holography, Parallel Computing Algorithms, Chaotic Systems, Astronomy, Space Exploration Key activities: Talent development, professional club management, competition organization He has received numerous awards, including the Ernő Nagy Memorial Medal (2015) and Fejér County Prima Award (2011). His work spans optics, fiber communication systems, and space-related projects like HUNVEYOR-4. Professional leadership roles: Head of Demonstration Observatory (since 1988), former President of ELFT Fejér County Group (1999-2002, 2008-2010) Languages: English (state secondary language exam 1987), German (intermediate level, Goethe Institute 1999; B1 2013) Subjects trained: Physics (B.Sc.), Optoelectronic Communication (BSC), Advertising Technology (BSC), Optics (MSC)

Rezső Nagyمشاهده پروفایل

دانشیار

• Network technologies
• Sensor networks
• Computer history
• +۱ مورد دیگر

Dr. Rezső Nagy is an Associate Professor at Óbuda University's Alba Regia Faculty of Engineering, Institute of Engineering, in Székesfehérvár, Hungary. He has been active in academic and professional circles since the 1970s. His educational background includes: Electrical Engineering, Budapest University of Technology (1977) Computer Science Engineer, Budapest University of Technology (1983) Advanced astronomy popularizer certificate, Eötvös Loránd University (1989) Dr. Nagy specializes in network technologies, sensor networks, computer history, and pedagogical methodologies for computer science education. His work bridges technical research with educational innovation. Scientific honors include: Trefort Ágoston Award (2016) AMK ring (2019) Székesfehérvár Education Award (2021) He plays multiple roles in academic dissemination, serving as Head of Cisco Networking Academy, Head of Computer Network Engineer Training, and President of Fejér County Association of Scientific Dissemination Society.

Tibor Fehérمشاهده پروفایل

پژوهشگر

• Business Informatics
• Quantitative Methods
• Data Analysis
• +۱ مورد دیگر

Tibor Fehér serves as a Researcher at the Faculty of Business and Economics, University of Pécs, Hungary, where he applies computational methodologies to advance economic and business research. His work bridges theoretical frameworks with practical analytical solutions in quantitative domains. His research spans: Business Informatics Quantitative Methods Data Analysis Computational Economics Dr. Fehér specializes in developing algorithmic approaches for economic modeling and decision support systems, with emphasis on statistical computing and data-driven business intelligence. His interdisciplinary focus integrates computer science principles into econometric analysis and operational research. Contact is available via feher.tibor@pte.hu by prior arrangement for office B501 consultations. No verifiable information exists regarding scientific awards, student mentorship activities, grant funding, or laboratory affiliations within the provided documentation.

• Linguistics
• Pragmatics
• Discourse Analysis
• +۴ مورد دیگر

Dr. Ágnes Abuczki is an Assistant Professor at the Department of English Linguistics , Institute of English Studies, Faculty of Humanities and Social Sciences, Károli Gáspár Reformed University. She holds a PhD in Linguistics (2015) and an MA in Pedagogy and English Language and Literature (2009), both from the University of Debrecen. Her work bridges pragmatics, discourse analysis , and multimodal interaction , with a focus on discourse markers and their functional spectra across contexts.