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Balázs VargaView profile

Research Fellow

• Road Traffic Modeling and Control
• AI-based Traffic Flow Prediction
• Urban Traffic Simulation
• +3 more

Dr. Balázs Varga is a Research Fellow at the Department of Control for Transportation and Vehicle Systems, Budapest University of Technology and Economics (BME). He holds a PhD in Transportation and Vehicle Sciences (2021) and an MSc in Vehicle Engineering (2015) from BME. His industry experience includes roles at AVL Hungary as a Software and Function Developer (2016–2018) and academic positions at Chalmers University of Technology (2015) and SZTAKI (2012–2014). Current Role: Research Fellow (2021–present) Teaching: Programming, Control Theory, Traffic Modeling (English language course) Research Interests: Varga specializes in road traffic modeling and control, focusing on AI-based traffic estimation and dynamic traffic management. His work integrates machine learning with mesoscopic and microscopic traffic simulation tools like SUMO to optimize urban mobility and reduce emissions. Projects: He leads the 2020–2024 national development project 'Dynamic, adaptive traffic control services and evaluation tools based on digitally connected data sources' (2019-1.1.1-PIACI KFI). This initiative leverages connected data sources for real-time traffic control and policy evaluation. Key Publications Trends: His recent articles explore topics such as graph neural networks for sensor placement, multiobjective control of emissions, and mixed-reality V2X testing. These works emphasize data-driven approaches, emission reduction, and simulation frameworks for autonomous vehicles.

Szabolcs IváncsyView profile

Associate Professor

• Audio Signal Processing
• Sound Source Separation
• Signal Processing
• +3 more

Szabolcs Iváncsy is an Honorary Associate Professor at the Department of Automation and Applied Informatics, Budapest University of Technology and Economics. His research focuses on audio signal processing and computational musicology, particularly in the domain of sound source separation for polyphonic music. Department: Automation and Applied Informatics University: Budapest University of Technology and Economics His work employs techniques such as instrument prints, energy splitting, and frequency estimation to isolate individual sound sources from complex musical recordings. These methods intersect with machine learning and signal processing to address challenges in polyphonic music analysis. Available publications highlight advancements in sound source separation, instrument modeling, and computational approaches to audio engineering. While no formal awards or students are listed, his contributions are documented in the BME Publication Registry and platforms like Google Scholar. Email: Ivancsy.Szabolcs@aut.bme.hu Office: Q.B215, Budapest 1117 Phone: +36 (1) 463-2885 Fax: +36 (1) 463-2871 Homepage: https://avalon.aut.bme.hu/~ivancsy

Koloman BrennerView profile

Associate Professor

• German Linguistics
• Dialectology
• Phonetics
• +6 more

Dr. Koloman Brenner (Associate Professor) is affiliated with the Institute of Germanic Studies at Eötvös Loránd University (ELTE), Budapest, Hungary, within the Department of German Linguistics. His work focuses on German dialectology, phonetics, minority languages, and sociolinguistics in Central and Eastern Europe. Research Interests: German dialects in Western Hungary and historical sound analysis Phonetic-algorithmic methods (e.g., Vocal Hunter software) Language use in minority communities and multimedia translation Comparative language policy in Hungary and South Tyrol Lexicography and bilingual education for German minorities Language atlases and sociocultural language variation Recent Publications Trends: His recent work includes bilingual dictionaries, dialect revitalization strategies, and algorithmic phonetic analysis. Earlier studies explore acoustic parameters of dialect consonants, media representation of dialects, and generational language shifts since 1989.

Peter RuczView profile

Adjunct Professor

• Aeroacoustics
• Acoustic Signal Processing
• Psychoacoustics
• +4 more

Dr. Peter Rucz is an Adjunct Professor at the Department of Network Systems and Services, Budapest University of Technology and Economics (BME). He holds a Ph.D. in Electrical Engineering (Summa cum laude, 2016) from BME's Doctoral School of Electrical Engineering. His research focuses on acoustic modeling, sound design of musical instruments, and audio compression technologies. He has participated in projects like REEDDESIGN, INNOSOUND, and AMORES, addressing topics such as organ pipe acoustics, nonlinear navigation algorithms, and robust communication protocols. Teaching roles include courses on Acoustic Measurements, Sound Engineering, Programming Basics, and Multimedia Systems. His research interests span aeroacoustic simulations, psychoacoustic models in audio compression, and computational methods for open-space acoustics. Awards include the 2016 Best Student Paper Award and 2013 I-INCE Grant. He mentors students in topics like cavity sound formation in wind instruments and DSP-based signal processing.