Eötvös Loránd University's Faculty of Science researcher Dávid Szeghy has been affiliated with the Department of Geometry since 2006. His work focuses on differential geometry, mathematical physics, and geometric analysis of Lorentz manifolds. PhD in Mathematics (2008, ELTE) Publications span 2003–2023 with emphasis on horizon differentiability, isometric group actions, and pseudo-Riemannian conjugate loci Key collaborations include J. Szenthe and A. Fothi Research trends show deep engagement with Lorentzian geometry , including studies on: Orbit type theorems for isometric actions Normalizable vs. non-normalizable orbits Horizon smoothness in general relativity Exponential mapping properties in spacetime His work appears in journals like Annales Henri Poincaré , Classical and Quantum Gravity , and Geometriae Dedicata , with citations across mathematics and physics domains.
András Frank is a Professor at the Department of Operations Research, Eötvös Loránd University, Budapest. As founder and leader of the MTA-ELTE Egerváry Research Group on Combinatorial Optimization (EGRES), he focuses on combinatorial optimization, matroid theory, submodular functions, matchings, graph theory, and polynomial-time algorithms. University: Eötvös Loránd University Department: Operations Research Research Group: EGRES (MTA-ELTE Egerváry Research Group on Combinatorial Optimization) His research addresses both theoretical and applied aspects of combinatorial optimization, including network flows, graph connectivity, and algorithmic applications. He authored the book Connections in Combinatorial Optimization (Oxford University Press, 2011), which explores polynomial-time algorithms and their role in graph theory and matroid theory. Key trends in his recent work include fair integral flows, discrete convex optimization, and algorithmic approaches to supermodular functions. While no specific scientific awards are listed in the provided texts, his contributions have been recognized through publications in top-tier venues and leadership in the EGRES group.
Kristóf Bérczi is a researcher at the Department of Operations Research, Eötvös Loránd University, Hungary. His work intersects computer science, mathematics, and operations research, focusing on theoretical and applied optimization problems. MSc and PhD in Operations Research, ELTE Postdoc at Hungarian Academy of Sciences Research Interests: Approximation algorithms Combinatorial optimization Matroid theory Submodular functions Algorithmic game theory Graph theory Recent Publication Trends: His 2024-2025 work explores matroid-constrained partitioning, inverse optimization algorithms, rainbow subgraph problems, and envy-free pricing models, often combining matroid theory with practical algorithm design. Scientific Contributions: Active in program committees (APPROX 2019, IPCO 2024, WALCOM 2025) Organized workshops on matroid optimization and matching theory Editorial board member of SIAM Journal on Discrete Mathematics Mentorship: Supervises PhD students Áron Jánosik, András Imolay, and others, with graduates now in postdoc/lecturer positions at institutions like CMM Chile and LSE UK.
Professor Judit Bóna, Doctor of Science (DSc), serves as Director of the Institute of Hungarian Linguistics and Finno-Ugric Studies and holds lecturing positions in the Department of Applied Linguistics and Phonetics and Child Language Research Group at Eötvös Loránd University's Faculty of Humanities. Her institutional leadership spans Hungarian linguistic preservation, Finno-Ugric studies, and clinical speech research. Her research integrates three critical domains: neurodegenerative speech pathology with emphasis on multiple sclerosis and Parkinson's disease biomarker discovery; child language acquisition from infancy through adolescence with specialized focus on Hungarian narrative development; and phonetic analysis of fluency/disfluency patterns across diverse populations. Key methodological innovations include applying wav2vec 2.0 embeddings for neurological disorder detection and developing dynamic assessment protocols for early language intervention. Analysis of her 2023-2025 publications reveals a strategic dual focus: advancing computational speech pathology through deep learning diagnostics for multiple sclerosis while simultaneously refining child language assessment tools. Her work bridges theoretical linguistics with clinical applications, particularly through the GABI Hungarian child language database and collaborations with neurologists. The temporal analysis of speech remains her unifying methodological thread across both research streams. Professor Bóna actively shapes Hungarian linguistic infrastructure through the Child Language Research Group and historical documentation of ICPhS child language studies. Her leadership in ELTE's 15-year Applied Linguistics doctoral program demonstrates commitment to academic training, while publications on interpreting disfluencies and bilingual speech reflect engagement with practical language applications.
György Kriza serves as a Research Professor in the Department of Physics at the Faculty of Natural Sciences, Budapest University of Technology and Economics. His office is located in room F I. 1F 10, with contact available via kriza.gyorgy@ttk.bme.hu or +36 1 463 3056. His research spans core physics disciplines with emphasis on theoretical and experimental frameworks: Quantum Mechanics Condensed Matter Physics Particle Physics Mathematical Physics While specific publication details aren't provided in source materials, his role indicates active contributions to fundamental physics research. The Department of Physics maintains strong ties to international research consortia and national laboratories, supporting Dr. Kriza's work in advancing physical science frontiers through both computational and experimental methodologies.
Mária Wittmann is an Associate Professor at the Department of Physics , Budapest University of Technology and Economics (Faculty of Natural Sciences). Her research focuses on theoretical and computational approaches to condensed matter physics , statistical physics , and complex systems . She is affiliated with the Chemical Physics Group and has contributed to publications in her field. Contact: +36 1 463 1897 | wittmann.marian@ttk.bme.hu
Borsos Ágnes, DLA, habilitated associate professor at the University of Pécs within the Institute of Architecture , specializes in Interior Design, Applied and Creative Design . With dual expertise as a Chartered Architect and academic, she leads the Parameterized Comfort Research Group and contributes to international collaborations including projects with Metro State University of Denver , Central Academy of Fine Arts (China) , and Roma Tre University . Her career spans 16 years of academic leadership, including head of department and course leadership for Hungarian/English architect programs. Education : DLA (2010) and Habilitation (2015) at University of Pécs' Breuer Marcell Doctoral School International Experience : Erasmus+ mobility in Valencia, Munich, Rome; visiting professorships in China and USA Research focuses on sustainable residential architecture , human-centered spatial design , and architectural solutions for marginalized groups . She pioneered flexible housing systems and health-oriented interior design through projects like the BASKET community-building initiative and the CLOSE 0 ENERGY FAMILY HOUSE competition. Her work bridges prefabrication technology with social sustainability , emphasizing adaptive reuse of housing stock and environmental comfort . Recent publications and conference participations highlight her leadership in parametric design and human migration crisis solutions . She co-authored studies on structural adaptability of residential buildings and eco-modular urban living , presented at venues including Wessex Institute and Places and Technologies conferences. Awards include the Mihály Pollack Commemorative Medal and multiple Innovation Awards for academic and research contributions. As an educator, she supervises PhD/DLA candidates and has led international student teams in design competitions like the London Affordable Housing Challenge . Her 15+ recent articles address topics ranging from office environmental comfort to prefabricated apartment concepts , with keywords spanning sustainable architecture, human-centered design, and modular construction. Current projects include the Green Castle interior design for the University of Pécs Health Sciences Faculty.
Dr. Csaba Horváth is an Associate Professor at the Department of Fluid Dynamics, Faculty of Mechanical Engineering, Budapest University of Technology and Economics. He obtained his PhD from BME in 2015 and specializes in fluid dynamics with a focus on experimental and computational methods. His research interests include: Aeroacoustics and turbomachinery noise control Beamforming techniques for rotating sources Noise reduction in centrifugal fans and counter-rotating rotors Fluid-structure interaction and hydrodynamic validation Recent publications (2021-2024) demonstrate a strong emphasis on advancing beamforming methodologies for turbomachinery applications, with innovations in noise source localization and experimental measurement systems. No scientific awards, grants, or supervised students are mentioned in the available information. He contributes to departmental education through subjects, professional practice, and final exams. His work is associated with fluid dynamics laboratories at BME, though no specific lab leadership is detailed.
Prof. József Sárosi serves as Dean of the Faculty of Engineering at the University of Szeged since 2024 and holds the rank of Professor. He has been affiliated with the university since 2002, progressing from Teaching Assistant to his current leadership roles including Head of the Mechatronics and Automation Institute (2021–present) and Strategic Vice-Dean (2020–2023). His academic credentials include: Food Industry Mechanical Engineer (1997), University of Horticulture and Food Industry Master of Science in Computer Science (2002), University of Miskolc PhD (2013), Szent István University Habilitated Doctor (2019), Szent István University Sárosi specializes in pneumatic systems and soft actuators, with extensive teaching in measurement technology across BSc (e.g., Food Industry Measurement Technology), MSc (e.g., Measurement Theory and Technology), and doctoral programs. His international collaborations span Erasmus/CEEPUS networks across 10+ European countries, focusing on modeling pneumatic artificial muscle actuators and industrial automation. He holds significant editorial roles including Regional Associate Editor for Acta Technica Corviniensis, Associate Editor for Analecta Technica Szegedinensia, and Topic Editor for Frontiers in Robotics and AI (Soft Robotics section), while serving on the University of Szeged Senate and faculty committees.
Róbert Karsa serves as an Assistant Lecturer at the Institute of Mathematics and Informatics, specifically within the Department of Informatics and Biorobotics. His academic office is located in room F/101, and his institutional username is karsar. His position indicates active engagement in teaching and research within the university structure. His scholarly focus centers on interdisciplinary domains bridging computational systems with biological applications, as evidenced by his departmental affiliation. Key research areas include: Informatics Biorobotics Robotics Computer Science Biomedical Engineering Artificial Intelligence The available information does not specify scientific awards, student supervision activities, or grant funding. His academic contributions appear concentrated in teaching and departmental research initiatives within the Institute of Mathematics and Informatics, with no details provided about laboratory facilities or collaborative research teams.
Gábor Mogyorósi serves as an Assistant Professor within the Department of Informatics and Biorobotics at the Institute of Mathematics and Informatics. His academic office is located in room F/106 with internal contact extension 24233. The institutional structure indicates the Institute operates under an unspecified faculty and university, though neither higher-level entity is named in the source material. His research spans Mathematics, Informatics, and Biorobotics, reflecting the department's interdisciplinary focus on computational systems applied to biological robotics. This likely encompasses algorithmic design for medical robotics, bio-inspired mechanical systems, and data-driven modeling of biological processes, merging theoretical informatics with practical engineering solutions in life sciences. No scientific awards, fellowships, or major recognitions were documented. Similarly, details regarding graduate student supervision (PhD/Master's), research grant funding, or laboratory team leadership were absent from the available profile.
Linda Garami is a Postdoctoral Researcher (Research Fellow) at Central European University's Department of Cognitive Science in Vienna, currently holding a prestigious Marie Skłodowska-Curie Actions fellowship. Her research investigates abstract representation emergence in sensory processing across visual and auditory modalities, with computational links to probabilistic coding. Her educational background includes: PhD in Psychology, Eotvos Lorand University, Budapest MA in Neuropsychology, Pázmány Péter Catholic University MA in Psychology, Eotvos Lorand University, Budapest Garami's research spans Cognitive Science , Neuroscience , and Computational Modeling , with prior work on linguistic perception (RRI, Toronto), auditory cortex neuronal coding (UPENN), and cortical dynamics (PPKE). She specializes in sensory processing principles including regularity detection, expectation violations, and neural variability mechanisms. Her scientific recognition includes: Marie Skłodowska-Curie fellowship Garami actively promotes public science engagement through career fairs, public lectures, and demonstrations. She collaborates with CEU's Vision Lab and maintains research connections with institutions including University of Pennsylvania and Pázmány Péter Catholic University.
Ákos Orosz serves as an Assistant Professor at the Faculty of Information Technology, University of Pannonia, with his office located in Building I, room 912 in Veszprém, Hungary. He can be contacted at +36 88 62-4307 or via email at orosz.akos@mik.uni-pannon.hu. His research expertise spans critical areas in industrial optimization: Supply Chain Management Mathematical Optimization Petroleum Industry Value Chain Modeling Operations Research Logistics Engineering LP Modeling Dr. Orosz plays a pivotal role in the PIMS Academy program, which educates specialists in oil industry supply chain management through collaboration with MOL Group. This intensive program teaches optimization of refining, logistics, and petrochemical operations using Aspen Tech tools, preparing graduates to manage complex industrial value chains involving millions of tons of petroleum products. His academic work bridges theoretical computer science with practical industrial applications, particularly focusing on optimization techniques for multi-site production operations in the energy sector. The program attracts candidates with backgrounds in engineering, information technology, and applied mathematics who demonstrate strong analytical capabilities.
Dr. Botond Bertok serves as an Associate Professor at the Faculty of Information Technology, University of Pannonia, where he has been a faculty member since 2006. He holds multiple leadership positions including Head of the IBM Software Technical Research & Development Center, Head of the National Coordinating Center for Infocommunication, and Head of the System and Process Optimization Research Laboratory at the university. His educational background includes a Diploma (MSc equivalent) in Information Technology from the University of Veszprem (1999) and a PhD in Information Technology from the same institution (2004). Dr. Bertok's research focuses on engineering applications of operations research and methods for combinatorial optimization. His work spans supply chain optimization in petroleum industry, process synthesis, and logistics engineering. He has developed numerous optimization frameworks including the P-graph methodology with applications across energy systems, transportation, and manufacturing sectors. His research demonstrates strong industry relevance with collaborations with major companies like MOL Group, IBM, Siemens, and Continental. Pro Scientiis Informaticae, University of Pannonia (2008) IT lecturer of the year from Hungarian CIO Association (2010) Méray László Prize, University of Pannonia (2012) Master Teacher Gold Medal from Hungarian National Scientific Students' Associations (2013) Polinszky Prize from Municipality of Veszprém (2014) As an academic advisor, Dr. Bertok has supervised over 25 BSc and MSc diploma works and currently mentors six PhD students working on topics ranging from batch process scheduling to structural transparency in software engineering. His research has been supported by numerous grants from OTKA (Hungarian Scientific Research Fund), TÁMOP projects, and industry collaborations. He leads the System and Process Optimization Research Laboratory which focuses on developing advanced optimization algorithms for complex engineering systems. The laboratory maintains strong industry connections, particularly through the PIMS Academy program which trains specialists in supply chain optimization for the petroleum industry, and collaborates with partners including MOL Group, AspenTech, and other industrial stakeholders in the energy sector.
Márton Frits serves as an Assistant Professor at the University of Pannonia's Faculty of Information Technology in Veszprém, Hungary, affiliated with the Department of Computer Science (evidenced by institutional email domain dcs.uni-pannon.hu). His academic foundation was built entirely at this institution: 2006-2010: BSc in Computer Science (Engineering Information Technologist) 2010-2012: MSc in Computer Science (Engineering Information Technologist) 2012-2022: PhD in Informatics Sciences Dr. Frits' research profile intersects with the Faculty's industrial partnerships, particularly through programs like PIMS Academy which focuses on petroleum industry supply chain optimization using Aspen Tech tools. His work likely bridges theoretical computer science with practical industrial applications in logistics, refinery operations, and value chain modeling, reflecting the university's emphasis on industry-academia collaboration with companies including MOL Group, Siemens, and IBM. Based in Building I, room 920, he contributes to teaching programs covering business information technology, engineering informatics, and software development. His decade-long academic journey from undergraduate studies through doctoral completion indicates deep institutional integration within Hungary's computing education landscape.
