جستجوی استاد راهنمای دانشگاهی

Gábor Somlai is a mathematics researcher at Eötvös Loránd University's Faculty of Science, affiliated with the Department of Algebra and Number Theory since 2006. He is a core member of the HUN-REN-ELTE Geometric and Algebraic Combinatorics Research Group (previously MTA-ELTE until 2023) and participates in the Asymptotic Group Theory ERC project. His institutional roles include contributions to the Mathematics Doctoral School and the Institute of Mathematics. His research spans Algebra , Combinatorics , and Number Theory , with emphasis on spectral sets, tiling problems, group theory, and finite geometry. Recent work explores cyclotomic polynomials, the generalized trifference problem, and connections between tiling and spectral properties in finite abelian groups. His publications reveal a strong focus on combinatorial number theory and algebraic methods in discrete geometry. Somlai's publication trends show sustained contributions to theoretical foundations of tiling and spectral sets (testing Fuglede's conjecture in cyclic groups) Cayley graph properties and CI-group classifications polynomial methods in finite geometry and direction problems His work bridges pure algebra with combinatorial applications, often resolving long-standing conjectures in specialized domains. As part of the HUN-REN-ELTE research group, he collaborates on geometric and algebraic combinatorics projects, leveraging ERC funding for asymptotic group theory investigations. His research infrastructure includes access to the Alfréd Rényi Institute of Mathematics (http://www.renyi.hu) resources.

• Algebra
• Combinatorics
• Number Theory
• +۳ مورد دیگر

Dr. Gábor Pintér holds dual academic appointments as Assistant Professor at Károli Gáspár Reformed University's Faculty of Humanities and Social Sciences (Department of Japanology) and as Associate Professor at Kobe University's School of Languages and Communication. Born in Hungary in 1977, he earned his MA (2005) and PhD (2008) in Linguistics from Kobe University, Japan, with a dissertation on asymmetrical segment distributions in Japanese. His research focuses on three interconnected domains: phonological theory (especially Japanese phonology), experimental phonetics, and applications of automatic speech recognition in language education. Specific interests include vowel devoicing patterns, prosodic perception in L2 learners, phonotactic constraints, and diachronic sound changes in Japanese. Pintér actively contributes to international research collaborations, including the JSPS-funded project 'Stochastic & theoretical phonological research' and serves as chair of the Phonology Association in Kansai (PAIK). His 15 most recent publications demonstrate methodological diversity, combining theoretical linguistics with computational approaches and experimental studies, primarily focused on Japanese phonetics and speech technology applications. Professional memberships include board positions in The Phonological Society of Japan and memberships in the International Speech Communication Association and Association for Laboratory Phonology.

• Phonology
• Phonetics
• Automatic Speech Recognition
• +۲ مورد دیگر

Dr. Tamás Koltai is a Professor and Dean at the Faculty of Economics and Social Sciences of Budapest University of Technology and Economics (BME). He leads the doctoral school's Specialization Group in Production Management. His roles include overseeing academic programs and research in production management, operations research, and efficiency analysis. Education: Doctor of the Hungarian Academy of Sciences (2016) Dr. habil. (2000), Budapest University of Technology and Economics Candidate of Technical Sciences (1987), Hungarian Academy of Sciences M.Sc. in Mechanical Engineering (1983), BME Faculty of Mechanical Engineering Research Interests: Dr. Koltai focuses on production management optimization, including the application of Data Envelopment Analysis (DEA), sensitivity analysis in mathematical models, and the integration of robotics in assembly lines. His work bridges theoretical models (e.g., MILP/CP optimization) with practical industrial challenges, particularly in healthcare efficiency and educational management. Notable Awards: IEOM Society Teaching Excellence Award (2021) BME GTK Faculty Memorial Medal (2016) János Susánszki Award (2013) Széchenyi Professorship Scholarship (1999–) Teaching & Leadership: He has held visiting roles at the University of Seville (1990–1992) and the University of Michigan (1988/89). His teaching excellence is recognized through awards and his contributions to business simulation education. His research often collaborates with industry partners to address real-world operational challenges. Labs/Teams: Leads the Production Management Specialization Group and contributes to interdisciplinary teams focusing on manufacturing efficiency and healthcare operations within BME.

• Production Management
• Operations Research
• Data Envelopment Analysis (DEA)
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Dr. Ivett Orsolya Bacskay is an Assistant Professor at the Department of Analytical and Environmental Chemistry, Institute of Chemistry, Faculty of Science, University of Szeged. Her research focuses on fundamental and applied aspects of separation science, particularly in liquid chromatography, with expertise in retention mechanisms, mass transfer, and stationary phase characterization. Research Interests: Her work spans several key areas in analytical chemistry, including hydrophilic interaction liquid chromatography (HILIC), size-exclusion chromatography, chiral separations, pore size distribution analysis, and molecular imprinting for artificial antibody development. She investigates both theoretical models and practical applications in chromatographic systems. An analysis of her recent publications (2010–2025) reveals a strong emphasis on improving chromatographic efficiency and understanding molecular interactions in separation processes. Her studies frequently address challenges in hold-up volume determination, overloading effects, and mass transfer in various stationary phases, contributing significantly to the advancement of HPLC and LC-MS methodologies. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: While specific details about students or funded projects are not listed, her active research output and faculty position suggest involvement in mentoring graduate students and securing research support. She has contributed to interdisciplinary studies involving neuropharmacology and plant biochemistry, indicating collaborative research efforts. Labs and Teams: Dr. Bacskay is part of the Institute of Chemistry at the University of Szeged, where she conducts research within the Department of Analytical and Environmental Chemistry. Her work likely involves collaboration with analytical chemistry research groups focusing on method development, column technology, and environmental or pharmaceutical analysis.

• Analytical Chemistry
• Separation Science
• Chromatography
• +۱۱ مورد دیگر

Péter Makk is an Associate Professor and Deputy Head of the Department of Physics at the Budapest University of Technology and Economics , Faculty of Natural Sciences (TTK). His research focuses on quantum transport phenomena, spin-orbit coupling, and superconducting devices at the nanoscale. Email: makk.peter@ttk.bme.hu Office: F I. 1st floor, 7 Research Interests Makk's work centers on quantum physics and condensed matter physics , particularly in nanotechnology and spintronics . He investigates: Pressure-tunable phase transitions in 2D materials Microwave dynamics of superconducting nanowires Gate-controlled superconducting currents Spin-orbit coupling in heterostructures Josephson junctions and Andreev molecules Quantum transport in graphene and related systems Scientific Trends in Publications His recent articles (2025-2024) highlight advancements in: Topological materials and quantum electronics Hybrid superconducting-semiconducting systems Pressure engineering of electronic properties Gate-controlled quantum devices Spin-Orbit Torque and magnetoresistance Graphene-based heterostructures and transport

• Quantum Physics
• Condensed Matter Physics
• Nanotechnology
• +۳ مورد دیگر

Márk Jelasity is a Full Professor in the Department of Algorithms and AI at the University of Szeged, Hungary, where he has been working since 2016. Previously, he served as a research advisor (equivalent to full professor) and senior research scientist at the Research Group on Artificial Intelligence (RGAI) of the Hungarian Academy of Sciences. His career includes numerous international research positions at institutions in Sweden, Norway, France, Italy, and the Netherlands. Professor Jelasity's research spans distributed systems, peer-to-peer computing, gossip protocols, and decentralized machine learning. His work bridges theoretical foundations with practical applications, particularly in the areas of self-organizing systems and privacy-preserving computation. His research has significant implications for smart grid technologies, secure distributed systems, and robust machine learning. His publication record shows a clear evolution from foundational work in gossip protocols and peer-to-peer systems toward cutting-edge research in decentralized machine learning, adversarial robustness, and privacy-preserving AI. Recent publications demonstrate his leadership in comparing gossip learning with federated learning approaches and exploring novel techniques for enhancing robustness in neural networks. Bolyai Plaquette (2015) 10 years best paper award at ACM/IFIP/USENIX Middleware Conference (2014) Best paper award at IEEE International Conference on Peer-to-Peer Computing (2014) Best paper award at IEEE International Conference on Self-Adaptive and Self-Organizing Systems (2013) Scientific Award of the Faculty of Science and Informatics, University of Szeged (2013) Fulbright Scholarship to visit Cornell University (2013) Multiple Bolyai Scholarships (2007-2014) Professor Jelasity has been actively involved in the academic community as an organizer of major conferences including DAIS'16 (TPC co-chair), SASO 2010 (General Co-Chair), and SASO 2007 (TPC co-chair). His leadership in the field is evidenced by his extensive publication record in top venues and his role in editing special issues and conference proceedings.

• Distributed Systems
• Peer-to-Peer Computing
• Gossip Protocols
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Andrea Kő is a researcher at the Corvinus University of Budapest's Institute of Data Analysis and Informatics, with a focus on artificial intelligence, fintech, and big data applications. She has held positions in the Department of Information Systems until 2022 before transitioning to her current role. Her work emphasizes investment recommenders, Industry 4.0 readiness, and e-government solutions. Her research spans financial technologies, manufacturing optimization, and organizational resilience in SMEs. Notable contributions include hybrid AI models for production systems and frameworks for digital transformation assessment. She actively contributes to international conferences like EGOVIS and BiDEDE, editing proceedings and presenting on topics such as robo-advisors and smart manufacturing. Key projects include the CCMS2.0e maturity model for Industry 4.0 adoption and studies on pandemic impacts on SMEs. Her work integrates machine learning (ANFIS, MMNN) with domain-specific challenges, addressing both theoretical and practical aspects of digital innovation across sectors.

• Artificial Intelligence
• Fintech
• Big Data
• +۳ مورد دیگر

András Perczel is a Professor at the Department of Organic Chemistry, Eötvös Loránd University (ELTE), Faculty of Science, and a Full Member of the Hungarian Academy of Sciences. He holds additional roles as a lecturer in the Institute of Chemistry and has been awarded the honorary title Doctor et Professor Honoris Causa. His research focuses on peptide synthesis, protein structure and dynamics, amyloid formation mechanisms, and drug discovery, with particular emphasis on KRAS inhibitors and biotechnological applications. Key research interests include the development of sustainable peptide synthesis methods using flow chemistry and machine learning, structural studies of amyloid polymorphism, and the design of functional proteomimetics. He has contributed to understanding the molecular basis of protein aggregation in diseases and advancing analytical techniques for peptide characterization. His publications highlight advancements in amyloid core interfaces, GLP-1 receptor agonists, and the application of chiral spectroscopy in protein stability analysis. Scientific awards include membership in the Hungarian Academy of Sciences and an honorary doctoral title. Dr. Perczel collaborates on projects involving KRAS-G12C inhibitors, SARS-CoV-2 nanobody design, and the synthesis of small protein domains via automated flow chemistry. His work bridges organic chemistry, biochemistry, and biotechnology, with a focus on translational research in healthcare and sustainability.

• Organic Chemistry
• Peptide Synthesis
• Protein Structure and Dynamics
• +۵ مورد دیگر

Dr. Katalin KOPECSKÓ is Associate Professor in the Department of Engineering Geology and Geotechnics , Faculty of Civil Engineering, Budapest University of Technology and Economics (BME) . She lectures on construction-materials chemistry, durability and advanced concrete technologies, and maintains an active research portfolio spanning radioactive-waste solidification, geopolymer binders, supplementary cementitious materials and fibre-reinforced cementitious composites. Education & Academic Career Long-standing faculty member at BME Faculty of Civil Engineering (exact degrees not specified in text). Regular instructor for master-level courses: Alkali Activated Materials in Civil Engineering , Chemistry of Construction Materials , Durability of Construction Materials , Structure–Property Relations of Concrete . Holds weekly consultation hours on Thursdays 12–14 in building K, basement level, room 10/5. Research Focus Her research integrates materials science , geotechnical engineering and nuclear-waste management . Recent investigations include: Development of alkali-activated recipes for borate-rich liquid radioactive waste using limestone-portland blends. Application of semi-adiabatic calorimetry to identify optimal cement types for radioactive waste cementation. Enhancement of 3D-printing performance of concrete via metakaolin and silica fume. Long-term geotechnical and hydraulic impacts of municipal solid-waste leachate on soils. Durability of natural-fibre and nanocellulose-reinforced geopolymer mortars. Corrosion behaviour of vitrified high-level waste glass under simulated repository conditions. Across 2022-2025 she has published more than 40 peer-reviewed articles, reflecting a clear shift toward sustainable construction materials , nuclear environmental safety and advanced testing methodologies . Laboratory & Collaborative Environment Dr. KOPECSKÓ operates within BME’s well-equipped Engineering Geology and Geotechnics laboratories, where calorimetry facilities, geopolymer synthesis rigs and microstructural analysis tools support her projects. Close collaboration exists with the Vásárhelyi Pál Doctoral School and the national nuclear-waste management programme at Paks NPP, evidenced by joint publications on cemented-waste testing laboratories. Grants & Awards While specific grant numbers are not listed, her sustained output in high-impact journals and participation in national projects (e.g., NVKP_16-1-2016-0019 “Increasing the Chemical Resistance of Concrete”) indicate continuous external funding. Contact Office: Building K, basement, room 10/5, Budapest University of Technology and Economics. E-mail: kopecsko.katalin@emk.bme.hu Phone: +36 1 463 2238

• Construction Materials Science
• Geopolymer and Alkali-Activated Binders
• Radioactive Waste Solidification
• +۷ مورد دیگر

László Lengyel is a Professor at the Budapest University of Technology and Economics (BME), affiliated with the Department of Automation and Applied Informatics . His work bridges theoretical and applied computer science, focusing on industrial automation, IoT systems, and model-driven engineering. Research interests include Model transformations and domain-specific languages IoT device management and multi-domain integration Software obfuscation and cybersecurity Graph algorithms and distributed computing (MapReduce) Real-time data analysis in manufacturing Automotive sensor networks His recent publications reflect expertise in model-driven IoT architectures , granule manufacturing automation , and MapReduce-based graph analysis , with a focus on industrial and automotive applications. He contributes to open-source frameworks like SensorHUB and explores gamification in driver behavior systems.

• Model-Driven Engineering
• Internet of Things (IoT)
• Software Obfuscation
• +۷ مورد دیگر

Zoltán Sütő is an Associate Professor at the Budapest University of Technology and Economics, affiliated with the Department of Automation and Applied Informatics. His research focuses on advanced power electronics and control systems, with expertise in real-time implementation using FPGA technology. He maintains an active presence through institutional contacts at Budapest 1117, Magyar tudósok krt. 2., Q.B114, and can be reached via phone (+36 1 463-2337) or email (Suto.Zoltan@aut.bme.hu). Dr. Sütő's research encompasses: Design and optimization of power converters (dual active bridge, multilevel inverters) Real-time control algorithms for grid-connected systems and microgrids FPGA-based hardware-in-the-loop simulation methodologies Nonlinear dynamics in power electronic systems Artificial intelligence applications for fault diagnosis in drive systems His work bridges theoretical control models with practical implementations in renewable energy integration and power quality management. Recent publications demonstrate a strong focus on predictive control techniques, adaptive compensation methods, and optimization of power converter topologies. Research trends emphasize real-time validation, FPGA implementation, and AI-enhanced diagnostics across applications ranging from energy storage systems to industrial drives. Articles consistently address efficiency improvements, stability challenges, and novel modulation strategies in power conversion.

• Power Electronics
• Control Systems
• Power Converters
• +۵ مورد دیگر

Edina Robin is a Habilitated Associate Professor at the Institute of Language Mediation , part of Eötvös Loránd University . She serves as the Director of the Institute and leads two departments: the Department of Translation and Interpreting and the Department of Hungarian as a Foreign Language . Her work bridges theoretical and applied translation studies, emphasizing modern challenges in language mediation. Role: Director of Institute of Language Mediation Role: Head of Department of Translation and Interpreting Role: Head of Department of Hungarian as a Foreign Language Research Interests Translation universals and revision practices Corpus-based translation analysis Human-in-the-loop machine translation systems Ethical implications of AI in translation Distance education methodologies in translation training Publication Trends reflect her interdisciplinary focus on machine translation (33%), translation teaching (25%), corpus linguistics (20%), and crisis communication (15%). Recent works explore the intersection of artificial intelligence, human agency, and ethical frameworks in language mediation. Academic Leadership includes institutional development for language mediation, curriculum design for Hungarian as a foreign language, and fostering collaboration between academic and industry translation practices.

• Translation Studies
• Corpus Linguistics
• Machine Translation
• +۵ مورد دیگر

Krisztián Széll is a Habil. Associate Professor at Eötvös Loránd University’s College of Education, specializing in educational inequality and school resilience. His research explores student achievement, school climate, Roma student integration, adaptive testing, and school dropout risk. He leads the Research Group on Innovation and Equality in Education and serves on the university’s Research Ethics Committee. Key Research Areas: Educational equity, resilience development, language policy, psychometric testing, and pandemic-era learning patterns. Publications: Focus on Hungary, cross-national comparisons, and methodological advancements in educational assessment. Affiliations: Eötvös Loránd University, Research Ethics Committee, Research Group on Innovation and Equality in Education. His recent work analyzes contextual factors in student belonging, adaptive testing formulas, and pandemic impacts on learning. He contributes to debates on reliability metrics like Cronbach’s alpha and institutional factors shaping educational outcomes.

• Educational Inequality
• School Resilience
• Student Achievement
• +۷ مورد دیگر

Yusaf Akbar is a Professor at the Department of Economics and Business at Central European University (CEU). His research focuses on business strategy, public policy, and emerging markets, particularly the sharing economy and non-market strategies. He has held research fellowships at the Institute for Advanced Study and visiting roles at the University of Trieste and Wirtschaftsuniversität Wien. His work bridges academic research with practical applications, including advising the European Commission and multinational corporations like Accenture and Siemens. Education: DPhil in Economics from the University of Sussex (2000). Key publications include EU Enlargement and Central Europe: Regulatory Convergence and the Multinational Enterprise and Global Antitrust: Trade and Competition Linkages . Upcoming books include Digitalization in Emerging Markets (Cambridge University Press, 2024) and an edited volume on emerging markets research agendas (Edward Elgar, 2025). Research interests emphasize strategic calibration in complex environments, AI-augmented decision-making, and systemic vulnerability management. He advises global firms on non-market strategies and has authored case studies for companies like ING Insurance, Vienna International Airport, and Hummus Bar. Professional roles include Founding Editor of the International Journal of Emerging Markets and Editorial Advisory Board member for Journal of Asia-Pacific Business . Teaching spans universities worldwide, including University of Michigan, Stockholm School of Economics, and Queen’s University.

• Business Strategy
• Public Policy
• Sharing Economy
• +۵ مورد دیگر

Zsolt Tamás Murlasits is a Senior Research Fellow at the Institute of Sport Science and Physical Education, University of Physical Education, where he is affiliated with the Department of Sports Biology and Kinesiology. His office is located in room A/119, and he can be reached via email or phone for academic and research inquiries. His primary research interests lie in exercise physiology, particularly focusing on neuromuscular adaptations induced by various forms of physical activity. He investigates the effects of resistance training modalities—including high velocity/power training and proprioceptive training—as well as concurrent endurance and resistance training across different populations, ranging from elite athletes to older adults. His work bridges basic physiological mechanisms with practical applications in performance and health. The trends in his research, though specific publications are not listed, emphasize applied kinesiology and sports science, with a strong focus on optimizing training protocols for functional improvement and performance enhancement. His work spans the disciplines of exercise science, biomechanics, and human physiology. Senior Research Fellow, Department of Sports Biology and Kinesiology Research focus on neuromuscular adaptations and training methodologies Active contributor to sport science and physical education While no scientific awards are listed in the provided text, his ongoing research positions him as a key figure in contemporary exercise science. He does not appear to have formal advising roles listed, nor are any grants mentioned. There is no information provided about specific laboratories or research teams he leads or participates in.

• Exercise Physiology
• Neuromuscular Adaptations
• Resistance Training
• +۷ مورد دیگر