جستجوی استاد راهنمای دانشگاهی

برای مسیر پژوهشی‌تان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آن‌ها ارتباط بگیرید.

نمایش ۱-۱۵ از ۲۶ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Péter Makkمشاهده پروفایل

دانشیار

Budapest University of Technology and EconomicsHungary

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

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András Pályiمشاهده پروفایل

دانشیار

Budapest University of Technology and EconomicsHungary

Dr. András Pályi is an Associate Professor at the Department of Theoretical Physics, Budapest University of Technology and Economics, and Head of the HUN-REN-BME-BCE Quantum Technology Research Group. His work bridges quantum computing, spintronics, and condensed matter physics, focusing on spin-phonon interactions, topological quantum systems, and semiconductor nanostructures. Quantum Computing Spintronics Topological Insulators Quantum Materials Recent publications highlight his research on quantum error correction , spin qubit control , non-Abelian Berry phases , and Weyl point stability , with applications in nanomechanical resonators and Majorana qubit architectures. His group explores spin-orbit coupling, acoustic phonons, and lattice reorientation mechanisms in quantum systems. Contact: Office F III. mfszt 6, palyi.andras@ttk.bme.hu , +36 1 463 4109

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Gergely Vakulyaمشاهده پروفایل

دانشیار

Óbuda UniversityHungary

Dr. Gergely Vakulya is an Associate Professor and Research Fellow at Óbuda University. He specializes in interdisciplinary research spanning cybersecurity, agricultural technology, sensor networks, and image processing. His work integrates hardware design, algorithm development, and real-world applications. Dr. Vakulya’s recent focus includes developing rumen bolus sensors for dairy cattle health monitoring, gamification of cybersecurity training, and innovative methods in camera exposure time measurement. He is affiliated with Óbuda University’s Budai Road and Pirosalma Street campuses, with an office at building F room 316. His research frequently addresses challenges in data collection, sensor fusion, and embedded systems. Research Interests: Dr. Vakulya’s expertise includes cybersecurity frameworks (e.g., CTF challenges), agricultural IoT systems (e.g., rumen bolus sensors for livestock monitoring), and image processing techniques (e.g., genetic algorithms for shape approximation). His work on visible light communication (VLC) and wireless sensor networks highlights his contributions to communication protocols and energy-efficient systems. Recent trends in his publications emphasize cross-disciplinary approaches, such as applying AI methods to agricultural sensor data and optimizing sensor networks for real-time applications. Advising & Grants: No specific advising relationships or grants are listed in available materials. His research infrastructure is likely supported through institutional and collaborative projects. Labs/Teams: While not explicitly stated, his research likely involves collaborations within Óbuda University’s engineering and computer science departments. His work on rumen sensors and VLC systems suggests potential affiliations with robotics, biomedical engineering, or smart agriculture research groups.

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Gyula Simonمشاهده پروفایل

استاد

Óbuda UniversityHungary

Prof. Gyula Simon is a faculty member at Óbuda University's Alba Regia Faculty, where he holds the rank of Professor. His research focuses on sensor networks, localization systems, and signal processing. He has contributed extensively to advancements in technologies like TDOA-based positioning, VLC communication, and acoustic source tracking. With over two decades of academic work, his publications span applications ranging from agricultural sensors to fault-tolerant indoor positioning systems. Key research interests include developing robust localization algorithms for both outdoor and indoor environments, optimizing wireless sensor networks for energy efficiency and reliability, and integrating emerging technologies like visible light communication (VLC) for beaconing and tracking. His work bridges theoretical signal processing with practical implementations in fields like smart agriculture and security systems. Recent articles highlight innovation in hyperbolic localization methods, sparse sampling techniques for camera systems, and semi-automatic plant growth monitoring. Despite prolific publication output, no scientific awards are explicitly listed. Consultation hours are arranged via email at simon.gyula@amk.uni-obuda.hu, with his office located at Building F Room 316 in Székesfehérvár.

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Balázs Rakosمشاهده پروفایل

دانشیار

Budapest University of Technology and EconomicsHungary

Dr. Balázs Rakos is an Associate Professor at the Budapest University of Technology and Economics (BME), affiliated with the Department of Automation and Applied Informatics . His research bridges nanotechnology, biophysics, and optical computing. His work focuses on: Integrating photoswitchable proteins with photonic devices for optical computing Developing infrared energy harvesting systems using nanoantennas and MIM diodes Modeling dipole-dipole and Coulomb-coupled protein arrays for molecular electronics Designing self-adapting pixel antenna systems for dynamic signal processing His publications from 2025–2015 reveal a trajectory from infrared sensor technologies to biophotonics and renewable energy applications , with a recurring emphasis on nanoscale biomolecular systems .

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László Kovácsمشاهده پروفایل

استادیار

University of DebrecenHungary

László Kovács serves as an Assistant Professor at the Faculty of Informatics, University of Debrecen, where he focuses on data science research and development. He is also recognized as an Nvidia Deep Learning Institute Certified Instructor and Ambassador, contributing to the advancement of AI education. His work is prominently featured through the Autonomous Vehicle Research Lab at the University of Debrecen. His primary research interests include Digital Image Processing , Fusion Systems , and High Performance Computing , with particular emphasis on medical applications. Kovács has developed data-driven solutions that address market, industrial, and social demands of artificial intelligence across various sectors including healthcare. His work demonstrates how the Faculty of Informatics at the University of Debrecen prioritizes data science in both educational and research contexts. Analysis of his publication record reveals a strong focus on medical image analysis, particularly in ophthalmology applications. His research consistently applies advanced computational techniques to solve diagnostic challenges in retinal imaging and melanoma detection. The publications show a progression from foundational algorithm development to practical medical applications, demonstrating his commitment to translating theoretical computer science into real-world healthcare solutions. Scientific Awards and Recognition: Ányos Jedlik PhD candidate scholarship of the National Excellence Program (2014-2015) János Csere Apáczai PhD scholarship of the National Excellence Program (2013-2014) Uiversitas scholarship from University of Debrecen (2012) Special prize at XXX-th National Scientific Students' Associations (2012) Prize of the Dean for Masters Students (2010) Kovács has supervised PhD research projects including OTKA NK101680 on melanoma detection and HURO/1001/283/2.3.1 on image-based recommendation systems. His teaching portfolio is extensive, covering High Level Programming Languages, High Performance Parallel Computing Tools, Parallel Image Processing, and Data Science. He has also established thesis topics in distributed programming, fusion systems, high-performance computing architectures, and medical diagnostic applications. His research group maintains an active GitHub presence through the Autonomous Vehicle Research Lab.

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József Attila Erdődyمشاهده پروفایل

استادیار

University of Fine ArtsHungary

József Attila Erdődy serves as Assistant Professor in the Department of Painting at the Hungarian University of Fine Arts, where he has taught since 2000. His practice transcends traditional painting through interdisciplinary audiovisual experimentation, expanding spatial boundaries with digital media. His academic foundation includes: DLA training at MKE Doctoral School (2006-2008) Diploma in Painting and Intermedia (1996) Studies at Hungarian University of Fine Arts (1991-1998) Erdődy's research investigates the convergence of physical and virtual spaces through video, photo animation, and mixed-media installations. His work critically examines materiality, light phenomena, and site-specific interventions, often transforming conventional painting concepts into immersive audiovisual experiences that challenge perceptual boundaries. His recent creative output reveals consistent exploration of landscape documentation, urban archaeology, and temporal studies through digital media, with recurring motifs of light manipulation and material transformation across diverse geographical contexts from Rome to rural Hungary. Notable recognitions include: Hungarian Academy in Rome residency (2008) Villa Concordia fellowship in Bamberg (2000) Multiple Eötvös Scholarships at Vienna University of Applied Arts (1998-1999) Nuremberg Academy of Fine Arts residency (1997) Salzburg Summer School scholarship (1995) As an educator, Erdődy directs the Interdisciplinary Audiovisual and Presentation Techniques studio, mentoring painting students in digital video production, sound design, and interactive media since 2000. His course emphasizes practical acquisition of technical skills for independent creative experimentation beyond conventional painting frameworks. His Epreskert studio functions as an experimental hub where painting students explore audiovisual boundaries through collaborative projects, fostering cross-departmental innovation in technical medium application within contemporary art practice.

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Tamás Szidarovszkyمشاهده پروفایل

پژوهشگر ارشد

Eötvös Loránd UniversityHungary

Tamás Szidarovszky is a Research Fellow and lecturer at the Department of Physical Chemistry, Eötvös Loránd University (ELTE), Faculty of Science. His work focuses on theoretical and computational studies of molecular polaritons, laser-induced dynamics, and rovibrational spectroscopy. He is affiliated with the Institute of Chemistry and maintains a research website highlighting his computational tools like LIMAO for simulating molecular alignment dynamics. His research interests span quantum chemistry, nonadiabatic phenomena, and molecular spectroscopy, with a particular emphasis on light-matter interactions in diatomic and polyatomic systems. Notable contributions include advancements in ab initio methods for polariton modeling and field-dressed spectral analysis. His publications (2016–2025) reflect expertise in molecular dynamics simulations, laser control techniques, and high-precision spectroscopic data. While no awards are listed, his work demonstrates significant impact in computational quantum chemistry and molecular physics. Labs/Teams: Affiliated with the Institute of Chemistry at ELTE, contributing to research groups specializing in theoretical spectroscopy and molecular dynamics.

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Gábor Erdeiمشاهده پروفایل

دانشیار

Budapest University of Technology and EconomicsHungary

Gábor Erdei is an Associate Professor at the Department of Atomic Physics, Budapest University of Technology and Economics (BME). He specializes in optical design, materials science, and advanced imaging systems. His work focuses on scintillator arrays for PET detectors, holographic storage technologies, and biomedical optics applications. Dr. Erdei has contributed to projects involving photon pair sources, quantum interference, and ophthalmic lens design. Research Interests: Optical system design and optimization Scintillator material characterization Quantum photonics and entanglement Holographic data storage systems Medical imaging technologies Key Research Trends: His recent work explores advancements in quantum optics for secure communication, novel materials for improved PET detector performance, and personalized optics for enhanced visual acuity. He has also contributed to interdisciplinary projects combining machine learning with particle analysis in fluidization processes. Scientific Awards: None explicitly listed in available materials. Advising & Grants: No formal advisee records found. Involved in SPADnet project collaborations and holographic storage system developments. Labs/Teams: Active in BME's Optics and Photonics Research Group, contributing to projects on diffractive optics and biomedical imaging systems.

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Emőke Lőrinczمشاهده پروفایل

استاد

Budapest University of Technology and EconomicsHungary

Emőke Lőrincz is an Honorary Professor in the Department of Atomic Physics at Budapest University of Technology and Economics (BME). Her research focuses on advanced optical and nuclear technologies, including scintillator materials for medical imaging (PET), laser physics, and holographic data storage. She has contributed to the development of high-resolution PET detectors, digital photon counter systems (SPADnet), and novel optical memory technologies using azobenzene polymers. Her work bridges fundamental material science with applied engineering solutions for biomedical and data storage applications. Key research areas include optimizing light-sharing modules for PET detectors, measuring optical properties of scintillator crystals, and advancing polarization-based holographic storage systems. Her interdisciplinary approach combines experimental validation with computational modeling to enhance detector performance and data density in optical systems. Publications span from 1985 to 2017, reflecting her long-term contributions to optics, nuclear instrumentation, and materials science. Notable collaborations include studies on LYSO:Ce scintillators, SiPM arrays, and phase-modulation techniques for holography. While no specific awards are listed, her extensive publication record underscores her influence in these fields. Her work often addresses practical challenges such as improving detector spatial resolution, optimizing light collection efficiency, and ensuring material durability in extreme conditions. This research has direct applications in medical imaging systems and next-generation optical storage technologies.

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Ferenc Simonمشاهده پروفایل

استاد

Budapest University of Technology and EconomicsHungary

Ferenc Simon is a full professor and deputy director at the Institute of Physics, Faculty of Natural Sciences, Budapest University of Technology and Economics (BME). He also holds a venia docendi (Privat-dozent) position at the University of Vienna. He leads the MTA-BME Spintronics Research Group (PROSPIN) and was PI on the ERC Starting Grant “SYLO”. Education & Qualifications PhD (Hungarian Academy of Sciences) Doctor of the Hungarian Academy of Sciences Habilitation at TU Budapest Habilitation (venia docendi) at Universität Wien Research Interests Professor Simon’s work spans spintronics , carbon-based nanostructures (nanotubes, graphene, fullerene peapods), superconductivity , and low-dimensional quantum systems . He employs electron spin resonance, NMR, optical and microwave spectroscopy, and isotope engineering to explore spin relaxation, Tomonaga–Luttinger liquids, and high-frequency response of superconductors. Recent projects extend into biomedical applications such as magnetic nanoparticle hyperthermia. Scientific Output & Trends His publication record (hundreds of papers, book chapters, reviews) is dominated by Physical Review Letters and Scientific Reports articles that collectively advance the understanding of spin and electronic correlations in carbon nanostructures, superconducting anisotropy, and advanced instrumentation. The 2017–2018 burst of papers on microwave absorption in superconductors and non-calorimetric hyperthermia power measurements signifies an expansion toward applied physics and medical physics. Awards & Honors MTA Talentum Award (2006) Editorial Board Member, Scientific Reports (since 2017) Editor, Fizikai Szemle (since 2018) Referee for Nature, PRL, and >10 other journals Students, Grants & Labs Simon has supervised ~85 BSc, MSc and PhD students (listed explicitly on his homepage). Current PhD students include L. Szolnoki, B. Gyüre, B. Márkus, I. Gresits, and others. He leads the PROSPIN group (MTA-BME Spintronics Research Group) and participates in the EnsembleQC consortium under Hungary’s Quantum Technology National Excellence Program.

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SOMOGYI József Árpádمشاهده پروفایل

دانشیار

Budapest University of Technology and EconomicsHungary

Dr. SOMOGYI József Árpád is an Associate Professor at the Department of Photogrammetry and Geoinformatics within the Faculty of Civil Engineering at Budapest University of Technology and Economics. He serves as the Faculty Coordinator for NEPTUN and is a member of the Informatics Faculty Committee. His research focuses on photogrammetry, geoinformatics, and artificial intelligence applications in civil engineering. Notable areas include autonomous vehicle mapping, laser scanning, UAV-based modeling, and point cloud processing. Scientific awards include the Magyar Felvételi Scholarship #építő250 . His work has been applied to transportation infrastructure, geological risk assessment, and historical building reconstruction.

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Gábor Almásiمشاهده پروفایل

استاد

University of PécsHungary

Dr. Gábor Almási is a Full Professor and Vice Dean at the Institute of Physics , affiliated with the Department of Computational Physics . His research spans Terahertz Physics , Particle Acceleration , and Renaissance Studies . Key projects include scalable THz pulse sources using lithium niobate and gallium phosphide. Investigates THz-driven electron acceleration and standing-wave ion generation. Interdisciplinary work on historical discourses of nationalism and work ethics. Recent publications focus on THz generation (2025), CO2 laser-pumped THz systems (2024), and humanist biographies (2023). Despite no listed awards, his work on terahertz technology and historical analysis remains influential. He oversees no identified student advisees but contributes to European collaborations like the TWAC EIC Pathfinder Project (2023).

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Anikó Vágnerمشاهده پروفایل

استادیار

University of DebrecenHungary

Dr. Anikó Vágner is an Assistant Professor at the University of Debrecen , affiliated with the Faculty of Informatics and the Department of Information Technology . Her research focuses on Educational issues of database systems , Medical signal processing , and Clustering of datasets , with a strong emphasis on NoSQL databases, smart city applications, and health informatics. Academic Rank: Assistant Professor Email: vagner.aniko@inf.unideb.hu Research Trends: Analysis of her 15 most recent publications reveals sustained work in NoSQL database performance optimization (MongoDB, Redis), GTFS-based transportation algorithms, medical signal processing using microcontrollers, and clustering techniques like OPTICS. Applications span smart cities, health monitoring, and educational technologies. Labs/Teams: She is part of the Department of Information Technology, which focuses on databases, data mining, and smart city solutions. The department collaborates on projects like participatory sensing frameworks and time series analysis.

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Ádám Galiمشاهده پروفایل

دانشگاهی

Budapest University of Technology and EconomicsHungary

Ádám Gali is a University Professor at the Budapest University of Technology and Economics (BME) and Scientific Director at the Institute of Solid State Physics and Optics of the HUN-REN Wigner Research Centre for Physics. He leads the Semiconductor Nanostructures Research Group and holds positions including former Deputy Scientific Director (2022-2024). His research focuses on ab-initio computational materials science, investigating point defects in semiconductors like silicon, diamond, and silicon carbide for quantum technology, biosensors, and solar cells. Education: PhD in Physics (2001), Habilitation (2011), BME. Key Roles: Group Leader (2010-2024), Scientific Director (2024-present), EU Grant Holder (e.g., QuantERA, Horizon 2020). Research interests span quantum emitters, defect qubits, and computational methods (DFT, TDDFT). Awards include the Hungarian Order of Merit and National Excellence Program grants. Over 200 publications, including seminal work on nitrogen-vacancy centers and silicon vacancy defects. Collaborates globally with institutions like Harvard, Stuttgart, and Linköping.

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