Peter Juhasz

Peter Juhasz

PhD Candidate

Aarhus University

Peter Juhasz

I am a PhD Candidate in Mathematics at Aarhus University, supervised by Christian Hirsch. My doctoral research combines stochastic point processes and topological data analysis to create novel models for complex networks. Prior to my PhD, I worked as a deep learning researcher in automated driving at Bosch Group Hungary, where I developed algorithms for vehicle perception, prediction and decision-making. Additionally, I led the design and implementation of scalable software solutions as a software architect in the same field.

Interests
  • Probability Theory
  • Network Models
  • Topological Data Analysis
Education
  • PhD in Mathematics, 2022 - now

    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

 
 
 
 
 
Aarhus University
Research Assistant in Stochastics and Topological Data Analysis
November 2022 – Present Aarhus, Denmark
  • Proved theorems in the field of stochastic point processes
  • Developed models for higher-order networks
  • Implemented topological data analysis algorithms
  • Taught 4 courses in mathematics and computer science
 
 
 
 
 
Bosch Group Hungary
Deep Learning Researcher in Automated Driving
July 2021 – October 2022 Budapest, Hungary
  • Patented a trajectory prediction model for automated driving
  • Real time object tracking with temporal convolutional neural networks
  • Object detection and classification with ultrasonic sensors
 
 
 
 
 
Bosch Group Hungary
Software Architect in Automated Driving
May 2018 – July 2021 Budapest, Hungary
  • Lead a team of 11 in environment prediction as a technical lead
  • Coordinated 2 teams in the integration of driver monitoring camera
  • Created a concept for automated ground-truth generation for data-driven machine learning development
 
 
 
 
 
Ericsson Telecommunications Hungary
Software Engineer for Mobile Networks
March 2016 – May 2018 Budapest, Hungary
  • Analyzed response times of distributed database servers for optimal load balancing
  • Coordinated a team of 8 as a deputy of the product owner
  • Implemented performance critical algorithms for Smart Services Routers

Publications

Awards, Grants

Aarhus University
Academic Mobility Grant for International Exchange
20 000 DKK Evolving Stochastic Network Models
Danish Data Science Academy
PhD Fellowship Grant – DDSA-PhD-2022-008
1 890 000 DKK Topological Data Analysis Based Models of Evolving Higher-Order Networks
Hungarian National Bank
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.

Certificate

(2021). Certified Professional for Software Architecture. – International Software Architecture Qualification Board.

Certificate

Contact