PhD in Mathematics
2022-11-01
2025-10-31
Aarhus University
MBA in Finance
2019-09-01
2021-06-30
Budapest University of Technology and Economics
MSc in Physics
2013-09-01
2016-06-30
Budapest University of Technology and Economics
BSc in Physics
2010-09-01
2013-06-30
Budapest University of Technology and Economics
Aros Commodities & Aarhus University, Denmark
Aarhus University
Bosch Group Hungary
Ericsson Telecommunications Hungary
Aarhus University
Budapest University of Technology and Economics
Budapest University of Technology and Economics
Budapest University of Technology and Economics
Ongoing research · Aarhus University & Aros Commodities
Developed pure-jump models of intraday electricity prices, combining Hawkes processes, auction effects, and calibrated jump distributions. Used high-frequency quote analysis and stochastic control to study optimal liquidation.
Industrial research · Bosch
Developed Gaussian regression models to predict road users’ trajectories and quantify uncertainty. Connected Python prototyping, C++ implementation, and empirical validation in safety-critical automated-driving systems.
PhD research · Aarhus University
Developed stochastic models of networks with group interactions. Combined probabilistic limit theorems, Python/C++ Monte Carlo simulation, and statistical tests on empirical scientific collaboration networks.
Accepted full research paper
Béla Bálint, József Pintér, Flórián Kaczúr, Péter Juhász, Roland Molontay
Research on using LLM-derived semantic descriptors to improve the spatial generalization of property-price prediction models. Accepted as a full research paper at GeoAI 2026.
Morten Brun, Christian Hirsch, Péter Juhász, Moritz Otto
In this paper, we introduce a novel model for random hypergraphs based on weighted random connection models. In accordance to the standard theory for hypergraphs, this model is constructed from a bipartite graph. In our stochastic model, both vertex sets of …
Christian Hirsch, Benedikt Jahnel, Péter Juhász
We introduce a dynamic random hypergraph model constructed from a bipartite graph. In this model, both vertex sets of the bipartite graph are generated by marked Poisson point processes. Vertices of both vertex sets are equipped with marks representing their …
Péter Juhász
Higher-order networks model interactions among groups of entities of an arbitrary number. This thesis introduces stochastic models grounded in point process theory that are capable of capturing complex spatial, topological, and temporal dependencies in …
Christian Hirsch, Péter Juhász
In this paper, we investigate the potential of the age-dependent random connection model (ADRCM) with the aim of representing higher-order networks. A key contribution of our work are probabilistic limit results in large domains. More precisely, we first prove …
Christian Hirsch, Benedikt Jahnel, Sanjoy Kumar Jhawar, Péter Juhász
We present a process-level Poisson-approximation result for the degree-k vertices in a high-density weighted random connection model with preferential-attachment kernel in a finite-volume Borel set. Our main focus lies on the impact of the left tails of the …
Kate Barnes, Péter Juhász, Marcell Nagy, Roland Molontay
This study sheds light on interconnected topic dynamics across traditional news sources and social media platforms, emphasizing the influential role of topicality in shaping content popularity in social media. Using the Latent Dirichlet Allocation and BERTopic …
Péter Juhász
In this paper, a network-based stochastic information propagation model is developed. The information flow is modeled by a probabilistic differential equation system. The numerical solution of these equations leads to the expected number of informed nodes as a …
Péter Juhász, József Stéger, Dániel Kondor, Gábor Vattay
Bitcoin is a digital currency and electronic payment system operating over a peer-to-peer network on the Internet. One of its most important properties is the high level of anonymity it provides for its users. The users are identified by their Bitcoin …
Péter Juhász, Szabolcs Beleznai, István Maros
The ceramic metal halide lamps belong to the most efficient high intensity light sources of these days. Presently it is the nitrogen contamination that causes the most significant problems during ignition. If this material gets into the lamp’s interior …
Georg Rempfer, István Reményi, Judit R. Glavinics, Krisztián Benyuska, Michael Schumann, Péter Pozsegovics, Péter Lakatos, Péter Juhász, Thomas Geller, Zoltán Borbély
A method for processing data associated with at least one ultrasonic sensor. The method includes receiving at least one signal characterizing at least a portion of a transmitted ultrasonic signal, determining, based on the at least one signal, a …
Péter Juhász
A computer-implemented method for predicting a trajectory of a traffic participant. Sensor data acquired by at least one vehicle sensor at a plurality of acquisition times is received. Based on the received sensor data, values of at least one motion parameter …
118 Ny Munkegade
Aarhus C, Central Jutland
8000 Denmark DK
