Emre Gülsoylu

Bis 2023, Student Research Assistant, Fraunhofer-Center für Maritime Logistik und Dienstleistungen CML

Student, Intelligent Adaptive Systems, Universität Hamburg

Hamburg, Deutschland

Fähigkeiten und Kenntnisse

Python
Computer vision
Digital image processing
Machine learning
Image Processing

Werdegang

Berufserfahrung von Emre Gülsoylu

  • 1 Jahr und 6 Monate, Mai 2022 - Okt. 2023

    Student Research Assistant

    Fraunhofer-Center für Maritime Logistik und Dienstleistungen CML
  • 6 Monate, Okt. 2021 - März 2022

    Student Tutor

    Universität Hamburg

    Supported Dr. Lauri and Prof. Dr. Frintrop in the exercise classes of Computer Vision I Course. Provided feedback for the assignments, and quizzes. Answered assignment or quiz related questions of students.

  • 11 Monate, Sep. 2018 - Juli 2019

    Systems Student Engineer

    Delphi Technologies

    My team was focused on Aftertretment systems such as Selective Catalytic Reduction (SCR), and also Engine Safety Monitoring (ESM) systems. I did not have a dedicated project on me, so helped my team in various projects. Created/updated system models in Matlab/Simulink. Created/executed Functional Tests. Provided a training for the C-Language to Systems Team members.

  • 2 Monate, Aug. 2017 - Sep. 2017

    Intern

    Delphi

    Developed an application that automatically runs simple functional integration tests and then creates the test results as an Excel document. Main application written in C# because of GUI capabilities. Electronic Control Unit (ECU) via Ethernet connection application written in Python. ElementTree and OpenPyXL libaries used for parsing and creating Excel documents.

Ausbildung von Emre Gülsoylu

  • Bis heute 3 Jahre und 11 Monate, seit Aug. 2020

    Intelligent Adaptive Systems

    Universität Hamburg

  • 6 Monate, Sep. 2017 - Feb. 2018

    Computer Science

    Technische Hochschule Ingolstadt

    Studied in Technische Hochschule Ingolstadt within Erasmus+ Programme for one term. Attended courses such as Artificial Intelligence and Machine Learning, Automation Technologies.

  • 4 Jahre und 1 Monat, Aug. 2015 - Aug. 2019

    Computer Engineering

    Manisa Celal Bayar University

    - Bachelor Thesis: A Machine Vision System for Raisin Quality Grading - Design Project: A Machine Vision System for Pest Recognition on Grapvine Pheremon Traps - Awared a grant from TÜBİTAK Research Projects Fellowship Programme for Undergraduate Students.

Sprachen

  • Deutsch

    Grundlagen

  • Englisch

    Fließend

  • Türkisch

    Muttersprache

Interessen

Computer vision
Machine learning
Data Science
Agricultural Technology

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