Imre Gera

Imre Gera

PhD Student
Szeged, Hungary ( Sweden)
imregera.dev

Intro

I'm a PhD student in Computer Science from Szeged, currently finishing my dissertation on various data mining methods using graphs. My research primarily focuses on community detection and hierarchical clustering algorithms. I would like to put my problem solving and quick learning skills to use in a new, challenging environment. While doing my research, I have also kept up with the latest technologies, and I acquired a wide knowledge of various industry standard tools.

Education

  • PhD in Computer Science
    University of Szeged
    2020 - 2024
  • Computer Science MSc
    University of Szeged
    2018 - 2020
  • Computer Science BSc
    University of Szeged
    2015 - 2018

Research

Keywords: data mining, network science, community detection, portfolio optimization, algorithms
Gera, I., & London, A. (2023). Detecting and generating overlapping nested communities. Applied Network Science, 8 (51). DOI: 10.1007/s41109-023-00575-2
Gera, I., London, A., & Pluhár, A. (2022). Greedy algorithm for edge-based nested community detection. 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS), 86-91. DOI: 10.1109/CITDS54976.2022.9914051
Gera, I., & London, A. (2022). Hierarchikus klaszterezés és a portfólió-kiválasztás probléma. SZIGMA Matematikai-közgazdasági folyóirat, 53 (1) 73--88.
Gera, I., & London, A. (2020). Gráf alapú dimenzióredukciós heurisztikák részvénypiaci korrelációs mátrixokra. Alkalmazott Matematikai Lapok, 37 (2) 211-224. DOI: 10.37070/AML.2020.37.2.01
Gera, I., & London, A. (2019). Portfolio selection based on a configuration model and hierarchical clustering for asset graphs. Proceedings of the 22nd International Multiconference / INFORMATION SOCIETY - IS 2019, 39-42.
London, A., Gera, I., & Bánhelyi, B. (2018). Markowitz portfolio selection using various estimators of expected returns and filtering techniques for correlation matrices. Acta Polytechnica Hungarica, 15 (1) 217-229. DOI: 10.12700/aph.15.1.2018.1.13
+1 under review...

Experience

  • Teaching
    University of Szeged
    2019 - 2024
    Throughout semesters, I gave programming languages, operations research and economic informatics courses.
  • Secretary of the Student Committee
    University of Szeged / Eötvös Loránd Kollégium
    2023 - 2024
    I was responsible for managing internal and outward communication, mediating during meetings and helping reach conclusions in various leadership decisions.
  • Front-end developer intern
    OCÉ Software Hungary
    2017
    Improved the photo viewing experience in Canon's Irista application by adding view transitions, request caching and bandwidth saving functions. We worked with AngularJS.
  • Projects

    FocusTide
    FocusTide
    Hanziness/FocusTide
    A modern open-source productivity timer app that is also highly customizable. I created both the design and the implementation.

    Skills

    Problem solving
    Coding
    Communication
    Programming languages
    TypeScript
    Node.js
    CSS
    Python
    R
    Rust
    C/C++
    SQL
    GraphQL
    1
    Imre Gera

    Interests

    Graphs
    User experience
    Creative solutions
    Artificial intelligence

    Some Tools I use

    VS Code
    GitHub
    Figma
    Docker
    Firebase
    Cloudflare
    Linux

    Achievements

  • Multiple scientific presentations on various topics
    Artificial intelligence, How headphones work, Photography, How to create and stream presentations online, Cybersecurity, Building websites, etc.
    2015 - 2024
  • New National Excellence Program
    2018-2020, 2021-2024
  • Excellent Student of the Faculty
    Faculty of Science, University of Szeged
    2020
  • 1st place + special prize
    National Scientific Students’ Associations Conference (OTDK)
    2018
  • 2nd place + special prize
    Scientific Students’ Associations Conference (TDK)
    2016
  • Hobbies

    Photography
    Running
    Hiking
    Reading
    Podcasts
    Design
    Gaming

    Spoken languages

    English
    fluent
    Hungarian
    native
    German
    B2
    Swedish
    learning

    Other notable features

    Driver's licence (Cat B)
    Non-smoking
    Friendly
    Quick learner
    2