Péter Juhász, PhD

Péter Juhász, PhD

Quantitative Researcher

Summary

I am a PhD researcher in Mathematics with experience in stochastic modeling, probabilistic analysis, and large-scale simulation, supported by Python/C++ model development. Previously, I worked as a machine learning researcher at Bosch, where I developed and validated predictive models with a focus on uncertainty estimation and data-driven decision-making. I am interested in applying quantitative methods to forecasting and risk modeling in energy and financial markets.

Interests

Stochastic Modeling Forecasting Algorithm Design Python & Data Analytics

Education

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

Skills
Modeling
Stochastic Modeling
Probability
Data Analysis
Programming
Python
C++
Git
SQL
Languages
100%
English Fluent
40%
German Beginner
100%
Hungarian Native

Experience

  1. PhD Researcher in Probability

    Aarhus University
    • Developed and analyzed stochastic models for complex, high-dimensional systems, with applications to interacting stochastic systems.
    • Designed and implemented high-performance Monte Carlo algorithms in Python and C++ for validation of large-scale stochastic network models.
    • Taught advanced probability, data analysis, and differential equations to mathematics and data-science students.
  2. Machine Learning Researcher in Automated Driving

    Bosch Group Hungary
    • Patented a Gaussian regression based stochastic trajectory prediction model improving accuracy by 3× and uncertainty estimation by 10× over baseline.
    • Built Python prototypes for forecasting and uncertainty quantification, and translated them into production environments.
    • Conducted large-scale data analysis and validation experiments to evaluate model performance.
  3. Software Engineer for Mobile Networks

    Ericsson Telecommunications Hungary
    • Analyzed response times of distributed systems to optimize load-balancing strategies.
    • Implemented performance-critical algorithms for Smart Services Routers.
Publications
PhD Thesis: Stochastic Models of Higher-Order Networks - Point Processes and Topological Data Analysis featured image

PhD Thesis: Stochastic Models of Higher-Order Networks - Point Processes and Topological Data Analysis

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 …

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Péter Juhász, PhD
Functional limit theorems for edge counts in dynamic random connection hypergraphs featured image

Functional limit theorems for edge counts in dynamic random connection hypergraphs

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 …

Christian hirsch
On the topology of age-dependent random connection network models featured image

On the topology of age-dependent random connection network models

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 …

Christian hirsch
Poisson approximation of fixed-degree nodes in weighted random connection models featured image

Poisson approximation of fixed-degree nodes in weighted random connection models

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 …

Christian hirsch
Random connection hypergraphs featured image

Random connection hypergraphs

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 …

Morten brun
Topicality boosts popularity: A comparative analysis of NYT articles and Reddit memes featured image

Topicality boosts popularity: A comparative analysis of NYT articles and Reddit memes

This study sheds light on interconnected topic dynamics across traditional news sources and social media platforms, emphasizing the influential role of topicality in shaping …

Kate barnes
Information propagation in stochastic networks featured image

Information propagation in stochastic networks

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 …

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Péter Juhász, PhD
A Bayesian approach to identify Bitcoin users featured image

A Bayesian approach to identify Bitcoin users

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 …

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Péter Juhász, PhD
Finite element method plasma simulation of nitrogen contaminated metal halide lamps featured image

Finite element method plasma simulation of nitrogen contaminated metal halide lamps

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 …

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Péter Juhász, PhD
Patents
Method and apparatus for processing data associated with at least one ultrasonic sensor featured image

Method and apparatus for processing data associated with at least one ultrasonic sensor

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 …

Georg rempfer
Method and device for predicting the trajectory of a traffic participant, and sensor system featured image

Method and device for predicting the trajectory of a traffic participant, and sensor system

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 …

Peter juhasz
Awards, Grants
Individual Travel Grant for Presenting a Talk at GPSD 2025
European Mathematical Society ∙ March 2025
500 EUR Random Connection Hypergraphs
Academic Mobility Grant for International Exchange
Aarhus University ∙ October 2024
20 000 DKK Evolving Stochastic Network Models
PhD Fellowship Grant – DDSA-PhD-2022-008
Danish Data Science Academy ∙ November 2022
1 890 000 DKK Stochastic Models of Higher-Order Networks
Excellence Award for Outstanding Thesis and Diploma Work
Hungarian National Bank ∙ September 2020
350 000 HUF Digitalization, Artificial Intelligence, and the Age of Data – What Makes a Meme Viral?
Erasmus+ Scholarship
Technische Universiteit Delft ∙ September 2015
3000 EUR
Additional Qualifications
(2021). Certified Software Designer. – Bosch Group.
(2021). Certified Professional for Software Architecture. – International Software Architecture Qualification Board.
Events
Teaching
Advanced Probability Theory featured image

Advanced Probability Theory

10 ECTS Exercise class, **Spring, 2025**

Data Project featured image

Data Project

10 ECTS Computer Project class, **Spring, 2024**

Linear Transformations featured image

Linear Transformations

5 ECTS Exercise class, **Fall, 2023**

Ordinary Differential Equations featured image

Ordinary Differential Equations

5 ECTS Exercise class, **Spring, 2023**

Advanced Calculus for Engineers featured image

Advanced Calculus for Engineers

10 ECTS Exercise class, **Spring, 2023**

Contact

Visit Us

118 Ny Munkegade

Aarhus C, Central Jutland

8000 Denmark DK

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