جست‌وجوی استاد و پژوهشگر

Michael Dorschمشاهده پروفایل

استاد

• Political Economics
• Public Economics
• Tax Morale
• +۳ مورد دیگر

Michael Dorsch is a Full Professor and Head of the Department of Public Policy at Central European University (CEU) in Vienna, Austria. His academic career spans institutions like the American University of Paris and Université Paris II Panthéon-Assas, where he held visiting roles. He teaches political economics, public sector economics, and applied econometrics at undergraduate, master’s, and doctoral levels, contributing to programs such as Economy & Society and Sustainable CEU. Ph.D. in Economics, University of Illinois at Urbana-Champaign M.A. in Economics, Miami University B.A. in Economics, International Studies, and French, Miami University Dorsch’s research bridges formal theoretical modeling and empirical analysis, focusing on political economy dynamics, taxation, environmental degradation, and policy responses during crises like the COVID-19 pandemic. His work often examines how political institutions interact with economic outcomes, including studies on tax morale, democratic accountability, and investment screening mechanisms. His publications appear in leading journals such as the American Political Science Review and Journal of Comparative Economics . Recent accolades include the 2024 Dudley Seers Memorial Prize for his paper on policy evaluation in polarized polities. He actively engages in professional service as an associate editor for journals and co-organizer of academic conferences.

Charaf Hassanمشاهده پروفایل

استاد

• Distributed Systems
• Network Coding
• Internet of Things (IoT)
• +۱۲ مورد دیگر

Charaf Hassan is a Professor and Head of Department at the Budapest University of Technology and Economics, specifically in the Department of Automation and Applied Informatics. His work spans interdisciplinary domains, focusing on distributed systems, network coding, and IoT technologies. His research interests include Distributed Systems and Domain-Specific Modeling Network Coding and Mobile Peer-to-Peer Systems Model-Driven Development for Multiplatform Applications Machine Learning in Fluid Dynamics and Pharmaceutical Analysis Recent publications highlight trends in applying convolutional neural networks to viscosity estimation, model-driven methodologies for IoT, and network coding in cloud storage. He teaches advanced courses in distributed systems and software architectures at the university level.

Attila Galsaمشاهده پروفایل

دانشیار

• Hydrogeology
• Geophysics
• Thermal Convection
• +۶ مورد دیگر

Attila Galsa is a Habilitated Associate Professor at the Institute of Geography and Earth Sciences , Department of Geophysics , and Center of Earth Sciences within the Faculty of Science at Eötvös Loránd University , Budapest, Hungary. Email: attila.galsa@ttk.elte.hu His research focuses on hydrogeology , geophysics , and mantle convection , with particular emphasis on groundwater flow modeling , thermal-haline convection , and geothermal system dynamics . He employs numerical simulations and stochastic modeling to study complex fluid interactions in subsurface environments. Recent publications highlight his work on asymmetric basin hydrodynamics , CO2 saturation estimation , and magnetotelluric array methodologies . His studies often integrate climate change impacts , renewable energy applications , and multi-disciplinary geophysical approaches . Attila Galsa's contributions span both theoretical investigations (e.g., mantle convection patterns ) and applied research (e.g., wellhead protection zones , geothermal reinjection ), with a strong emphasis on numerical modeling and field validation in Hungarian and Central European geological contexts.

János Hamarمشاهده پروفایل

دانشیار

• Power Electronics
• Control Systems
• Renewable Energy Integration
• +۳ مورد دیگر

János Hamar is an Associate Professor at the Department of Automation and Applied Informatics , Budapest University of Technology and Economics. His work bridges power electronics and control systems with a focus on energy efficiency and renewable energy integration. Specializes in resonant DC-DC converter topologies Developed multi-agent control systems for parallel converters Contributed to E-learning tools in power electronics Explores electromagnetic interference (EMI) mitigation Investigates microgrid power distribution His research spans symmetrical and asymmetrical converter operations, virtual laboratories, and smart energy systems like "Energymon." Publications highlight innovations in multilevel converters, common-mode noise suppression, and discrete-time modeling tools. Awards and student supervision details remain unspecified in available sources.

Sipos Mártonمشاهده پروفایل

مدرس

• Distributed Storage Systems
• Network Coding
• Edge Computing
• +۷ مورد دیگر

Márton Sipos is an academic at the Department of Automation and Applied Informatics , part of the Faculty of Electrical Engineering and Informatics at the Budapest University of Technology and Economics . His work bridges distributed storage , network coding , and IoT with interdisciplinary collaborations in biomedical research . Contact: Sipos.Marton@aut.bme.hu . Academic Rank : Lecturer Research Focus : Edge-cloud continuum, data security, and network coding His research explores heterogeneous systems for IoT and edge computing, including frameworks like SERRANO and EMPYREAN . He also investigates blockchain-based file sharing (FileTribe) and medical topics like cervical artery dissection . Recent work emphasizes AI-driven resource allocation and time-series compression (Titchy). Key publication trends include: Network Coding for fault-tolerant storage Edge-Cloud integration (2021–2024) Blockchain applications in secure storage (2019) Medical Informatics in neurological studies (2019) Peer-to-Peer optimization via BitTorrent and WebRTC (2015–2017) Erasure Coding in dynamic environments (2018–2019)

Veréb Szabolcsمشاهده پروفایل

استادیار

• Power Electronics
• Control Systems
• Electrical Engineering
• +۳ مورد دیگر

Dr. Szabolcs Veréb is an Assistant Professor at the Budapest University of Technology and Economics (BME) within the Faculty of Electrical Engineering and Informatics , specifically in the Department of Automation and Applied Informatics and its Power Electronics Group. His academic work focuses on power electronics, control systems, and energy storage technologies. Research interests include: Advanced control techniques for power converters Dead time compensation in dual active bridge systems Energy storage integration for grid applications Battery management system optimization Hardware-in-the-loop simulation technologies Recent work trends demonstrate specialization in: Grid-connected inverter control Dual active bridge converter optimization Real-time simulation with FPGA-based systems Application-specific battery balancing methods Contact: Vereb.Szabolcs@aut.bme.hu

Gábor Lenteمشاهده پروفایل

استاد

• Chemical Kinetics
• Stochastic Kinetics
• Mathematical Methods in Chemistry
• +۴ مورد دیگر

Gábor Lente is a full professor at the University of Pécs, Faculty of Science, where he serves as head of both the Institute of Chemistry and Department of Physical Chemistry and Materials Science. Previously, he held faculty positions at the University of Debrecen from 2001-2018, progressing from junior faculty member to full professor. His academic credentials include a Doctor of Science degree from the Hungarian Academy of Sciences (2013), Habilitation from University of Debrecen (2008), and Ph.D. (2001). Professor Lente's research focuses on advanced mathematical methods in chemical kinetics and stochastic kinetics applications. His work spans theoretical developments in reaction mechanisms, nanoparticle formation kinetics, and systems biology applications. He has made significant contributions to understanding oscillatory reactions, nucleation-growth processes, and the mathematical foundations of chemical kinetics. His recent publications (2023-2025) demonstrate continued productivity across multiple subfields including nanoparticle modeling, reaction mechanism analysis, historical perspectives on physical chemistry concepts, and chemistry education. The articles reveal strong integration of mathematical rigor with chemical insight, particularly in areas of stochastic kinetics and analytical solutions to complex kinetic problems. Among his notable scientific awards are: Arany Katedra for excellence at teaching (2022) Multiple awards for outstanding service to the Hungarian Chemical Society (2013-2023) Hevesi Endre Award for popular science writing (2017) Master Teacher award for excellence in training student researchers (2013) Bolyai János research fellowship (2006-09) Polányi Mihály Young Investigator Award (2004) Lente has supervised several graduate students including Pinke Diána Dorottya and Szabó Rebeka. He has received significant research funding through Hungarian national grants and Fulbright fellowships. As Editor-in-Chief of Reaction Kinetics, Mechanisms and Catalysis journal, he plays a key role in the international kinetics research community. He has organized multiple international conferences including the International Conference on Reaction Kinetics, Mechanisms and Catalysis series. Professor Lente leads the Reaction Kinetics and Photochemistry Working Group and maintains active research collaborations internationally. His laboratory focuses on developing mathematical models for complex chemical systems, with particular emphasis on stochastic approaches to reaction networks.

Zoltán Hatóمشاهده پروفایل

پژوهشگر ارشد

• Molecular Dynamics
• Computational Chemistry
• Membrane Science
• +۳ مورد دیگر

Zoltán Ható is a Senior Research Fellow at the Faculty of Engineering, University of Pannonia, specializing in computational modeling of molecular systems. His work focuses on molecular dynamics simulations of membrane diffusion processes, ion channel behavior, and clay mineral transformations, with significant contributions to understanding transport phenomena in confined geometries. Research Focus Dr. Ható's research centers on computational nanoscience with emphasis on: Molecular dynamics of membrane diffusion in biological ion channels and synthetic membranes Kaolinite clay intercalation, delamination, and nanoscroll formation mechanisms Ion transport selectivity in nanopores and zeolite membranes Multiscale modeling bridging atomistic simulations with continuum theories His work integrates advanced simulation techniques to address fundamental questions in materials science and separation technology. Publication Trends Analysis of Dr. Ható's publications (2017-2025) reveals a consistent focus on computational characterization of confined systems. Key trends include: Progressive shift toward multiscale approaches connecting molecular dynamics with Poisson-Nernst-Planck modeling Increasing emphasis on practical applications in water purification and energy storage Systematic investigation of interlayer interactions in clay minerals for nanocomposite development Rigorous examination of scaling laws governing ion selectivity in nanopores