cv

A detailed version is available to download

General Information

Full Name Shaul Rosner
Email shaul.rosner@gmail.com
Phone (+972)-527405929
Website https://shaulrosner.github.io/
ORCID https://orcid.org/0009-0006-4671-2566
Location Tel Aviv, Israel

Higher Education

  • 2024–2025

    Tel Aviv, IL

    Postdoc
    Tel Aviv University
    Computer Science
  • 2021–2024

    Herzliya, IL

    PhD (Direct Track)
    Reichman University
    Computer Science
  • 2018–2021

    Herzliya, IL

    MSc
    Reichman University
    Computer Science
  • 2013–2017

    Tel Aviv, IL

    BSc
    Tel Aviv University
    Mathematics – Focus on Computer Science

Academic Publications

  • Full list of academic publications available on publications tab, and full CV.

Public Professional Activities

  • 2025
    SAGT – PC Member
  • 2025
    WINE – PC Member

Professional Experience

  • Summer 2023

    Maastricht, NL

    Visiting PhD Student
    Maastricht University
    Hosted by Marc Schröder.
  • 2023

    Herzliya, IL

    CS Preparatory Workshop Lecturer
    Reichman University
  • Summer 2022

    Haifa, IL

    Summer Intern
    IBM Research
    Analyzed the landscape of cloud computing from a game theory perspective, focusing on the impact of software improving ease of use of multiple cloud services (multicloud).
  • 2022–2024

    Herzliya, IL

    Logic and Set Theory TA
    Reichman University
  • 2021–2023

    Herzliya, IL

    Algorithms TA
    Reichman University
  • 2019–2021
    Audio Researcher
    Planned, trained, implemented, and monitored algorithms for audio analysis. Responsibilities included research, adaptation of solutions to data, software implementation, and user collaboration for issue resolution.
  • 2017–2019
    Software Developer
    Developed and maintained software used by signal processing researchers. Implemented, optimized, and wrote algorithms for various research applications.
  • 2015–2017

    Tel Aviv, IL

    Calculus 1+2 Tutor
    Tel Aviv University
    The Sharpener Program

Awards and Honors

  • 2022
    • Teaching Excellence Award (Reichman University)
  • 2021
    • Competitive Programming – 40th Place (SWERC)

Technical Skills

  • Programming Languages: Python, C#, Java, C, C++, JavaScript (Node.js, Angular, React)
  • Machine Learning / Data Processing: PyTorch, Kaldi, scikit-learn, pandas
  • Databases / Infrastructure: SQL, Elasticsearch, Kafka, Docker, Flask