Péter Juhász
I am a PhD Researcher in Mathematics at Aarhus University, supervised by Christian Hirsch. My research consists of stochastic modeling of high-dimensional random systems supported by large-scale C++/Python simulations. Previously, I worked at Bosch as a deep learning researcher and software architect in automated driving, focusing on perception, prediction, decision-making, and scalable system design.
Interests
- Stochastic Modeling
- Complex Network Models
- Algorithm design
Education
PhD in Mathematics, 2022 - 2025
Aarhus University
MBA in Finance, 2019 - 2021
Budapest University of Technology and Economics
MSc in Physics, 2013 - 2016
Budapest University of Technology and Economics
BSc in Physics, 2010 - 2013
Budapest University of Technology and Economics
Skills
Programming
Python
C++
Git
SQL
Languages
Hungarian
English
German
Professional Experience
PhD Researcher in Probability
- Developed and analyzed stochastic models for complex, high-dimensional systems, with applications to interacting stochastic systems.
- Designed efficient C++ and Python algorithms for large-scale stochastic network models.
- Proved theoretical results in stochastic point processes and random graphs, contributing to the mathematical foundations of probabilistic modeling.
- Taught advanced probability, data analysis, and differential equations to mathematics and data-science students.
Deep Learning Researcher & Software Architect in Automated Driving
- Patented a stochastic trajectory prediction model improving accuracy by 3× and uncertainty estimation by 10× over baseline.
- Led a team of 11 developing environment prediction modules for automated driving as a technical lead.
- Created a framework for automated ground-truth generation enabling large-scale data-driven model evaluation.
Software Engineer for Mobile Networks
- Designed response time-based load-balancing algorithms for distributed systems, improving efficiency though quantitative optimization.
- Coordinated a team of 8 as a deputy of the product owner
Publications
Awards, Grants
Individual Travel Grant for Presenting a Talk at GPSD 2025
500 EUR Random Connection Hypergraphs
Academic Mobility Grant for International Exchange
20 000 DKK Evolving Stochastic Network Models
PhD Fellowship Grant – DDSA-PhD-2022-008
1 890 000 DKK Topological Data Analysis Based Models of Evolving Higher-Order Networks
Excellence Award for Outstanding Thesis and Diploma Work
350 000 HUF Digitalization, Artificial Intelligence, and the Age of Data – What Makes a Meme Viral?
Additional Qualifications
(2021).
Certified Software Designer.
– Bosch Group.
(2021).
Certified Professional for Software Architecture.
– International Software Architecture Qualification Board.
(2020).
Social and Economic Networks: Models and Analysis.
– Coursera.
Teaching
Contact
- peter@ljuhasz.com
- 118 Ny Munkegade, Aarhus C, Central Jutland 8000
- Office 315, Floor 3, Building 1535
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