Curriculum Vitae

My Curriculum Vitae

General Information

Name Abdullah Akgül
Address Campusvej 55, 5230, Odense, Denmark
Email abdullahakgul70@gmail.com
Nationality Turkish
Languages English (Fluent), Turkish (Native), Danish (Beginner)

Education

  • Feb 2023 -
    (expected) Apr 2026

    Odense, Denmark

    Ph.D. in Computer Science
    University of Southern Denmark
    Department of Mathematics and Computer Science
  • Sep 2020 -
    Nov 2022

    Istanbul, Turkey

    M.Sc. in Computer Engineering
    Istanbul Technical University
    Department of Computer Engineering
    • GPA: 4.00/4.00
  • Sep 2016 -
    Aug 2020

    Istanbul, Turkey

    B.Sc. in Computer Engineering
    Istanbul Technical University
    Department of Computer Engineering
    • GPA: 3.70/4.00

Experience

  • Feb 2026 -
    Present

    Odense, Denmark

    Research Assistant - Postdoctoral Researcher
    University of Southern Denmark
    Department of Mathematics and Computer Science
    • Continuing research on probabilistic reinforcement learning for sample-efficient control.
  • Feb 2023 -
    (expected) Apr 2026

    Odense, Denmark

    Salaried Ph.D.
    University of Southern Denmark
    Department of Mathematics and Computer Science
    • Established a strong publication record in top-tier venues on improving sample efficiency in reinforcement learning.
    • Contributed to open-source codebases (e.g., MOMBO, EPPO, ObjectRL) adopted by the research community.
    • Delivered exercise sessions on core machine learning concepts; guided students through assignments and provided feedback.
    • Mentored 2+ MSc students on their theses, supporting research design and implementation.
  • Mar 2021 -
    Jan 2023

    Istanbul, Turkey

    Research and Teaching Assistant
    Istanbul Technical University
    Artificial Intelligence and Data Engineering
    • Conducted research in computer vision and uncertainty quantification.
    • Teaching Assistant for Python Programming, Probability \& Statistics, and Computer Architecture courses.
    • Mentored 1 MSc student on thesis work (resulting in a TMLR publication) and 3+ BSc students on final projects (leading to 2 workshop papers at NeurIPS and ICLR).
  • Aug 2020 -
    Sep 2020

    Istanbul, Turkey

    Part-time Machine Learning Engineer
    Vakifbank
    R&D and Innovation
    • Built a signature verification system for fraud detection using Siamese CNNs.
    • Achieved 95% test accuracy on internal data and 88% on the CEDAR benchmark.
  • Aug 2019 -
    Sep 2019

    Istanbul, Turkey

    Research Intern
    Istanbul Technical University
    Artificial Intelligence and Robotics Laboratory (AIRLab)
    • Implemented deep reinforcement learning algorithms (DDPG, SAC) for robotic manipulation tasks.
    • Developed PyBullet simulation environments with MoveIt integration for inverse kinematics.
  • Aug 2018 -
    Sep 2018

    Istanbul, Turkey

    Front-End Developer Intern
    Dogus Technology
    • Built front-end web applications (JavaScript, Node.js) and back-office systems.
    • Designed secure login pages, error-handling flows, and responsive user interfaces.
    • Built an Arduino-based chatbot integrated with Slack for sensor-user interaction.

Academic Service

  • Reviewer:
    • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    • IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
    • Advances in Neural Information Processing Systems (NeurIPS)
    • European Workshop on Reinforcement Learning (EWRL)

Skills

  • Programming Languages:
    • Python
    • C
    • C++
    • JavaScript
    • HTML/CSS
  • ML Frameworks & Libraries:
    • PyTorch
    • TensorFlow
    • Keras
    • Scikit-learn
    • NumPy
    • SciPy
    • Pandas
    • OpenCV
  • Tools & Platforms:
    • Git
    • Linux
    • Docker
    • ROS
    • MATLAB
    • LaTeX
    • Weights & Biases
    • Flask
    • Node.js
  • Areas of Interest:
    • Reinforcement Learning
    • Deep Learning
    • Probabilistic Modeling
    • Bayesian Inference
    • Computer Vision
    • Bandits
    • Federated Learning
    • Large Language Models