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Résumé (open to work)

                 
Hi, my name is Yasin Yousif and currently doing my PhD in Multi-Agent Modelling for Traffic. My skills set includes using machine learning and simulation techniques to analyze complex systems. Previouslly I studied Robotics, and Mechatronics

Academic Background

  • 2020-present : PhD candidate in Informatics, TU Clausthal. RTG: Social Cars

    • Research focus: Modelling and Simulation of Traffic with Multi-agent Reinforcement Learning.

    • Papers published in PAAMS and MABS about Reinforcement Learning and Imitation Learning

  • 2016-2019 : Msc. in Mechatronic, Lattakia. [GPA: 83%]

    • Notable coursework: Programming Logic Control (Siemens PLC), Machine Vision, Optimal Control, Electrical Drives.

  • 2010-2015 : B.S. in Mechatronics, Homs. [GPA: 82%]

    • Graduation Project: Developed a 3D reconstruction system from images, demonstrating proficiency in computer vision and data processing.

PhD Project

  • Title: Multi-Agent Stochastic Heterogeneous Traffic Modeling with Reinforcement Learning

  • Description: This work models mixed traffic of different transportation types as a multi-agent stochastic system, aiming for accuracy and interpretability.

Master Thesis

  • Title: 3D reconstruction from 2D images using EKF-SLAM

  • Description: This research integrates covariance information derived from Visual SLAM techniques to enhance the accuracy of 3D reconstruction.

Work Experience & Practical Computer Skills

  • 2021-2024 Scientific Assistant (Hiwi), Clausthal

    • Assisted in teaching SQL and PHP courses

  • 2017–2020 Research Assistant, Homs

    • Taught courses in Computer Networks, Image Processing, and Artificial Intelligence

Practical Computer Skills

  • Programming Langauges:: Python, MATLAB, C++, JavaScript.
  • Applications:: Blender, Inkscape, Simatic Step 7 PLC software, Vim
  • Software Libraries & Frameworks:: ROS (Robotics Operating System), PyTorch, LaTeX, MySQL, OpenCV, Jupyter Notebook, Linux.

Langauges

  • English (C1: Fluent)
  • German (B2: Higher intermediate)
  • French (A1: Beginner)
  • Arabic (Native)

Academic Services

  • Reviewer:
    • Robot Operating System (ROS): The Complete Reference (Volume 6)
    • European Conference on Artificial Intelligence ECAI 2023
    • Data-centric Machine Learning Research DMLR
    • 2023 International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

Awards and Scholarships

  • DAAD (GSSP) Doctorate Scholarship: 2020-2024
  • Excellence Award in Mechatronics (2nd in class), Homs, Syria: 2014
  • Excellence Award in Mechatronics (1st in class), Homs, Syria: 2011

Technical Training

Publications & Projects

1. Yousif, Y. M., & Müller, J. P. (2024). Integrating Supervised and Reinforcement Learning for Heterogeneous Traffic Simulation. Advances in Practical Applications of Agents, Multi-Agent Systems (PAAMS). Springer, Cham.*To appear in November* [Code]
2. Yousif, Y. M., & Müller, J. P. (2024). Adaptive Learning of Centralized and Decentralized Rewards in Multi-agent Imitation Learning. Advances in Practical Applications of Agents, Multi-Agent Systems (PAAMS). Springer, Cham. *To appear in November* [Code]
3. Yousif, Y. M., & Müller, J. P. (2024). Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting Machines. arXiv preprint arXiv:2402.03457. [Paper] [Code]
4. Mukbil, A., Yousif, Y. M., Hossain, S., & Müller, J. P. (2023, September). CTV-Dataset: A Shared Space Drone Dataset for Cyclist-Road User Interaction Derived from Campus Experiments. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) (pp. 3186-3191). IEEE. [Dataset]
5. Yousif, Y. M., Mukbil, A., & Müller, J. P. (2022). OfflineMOT: A Python package for multiple objects detection and tracking from bird view stationary drone videos. Journal of Open Source Software, 7(74), 4099. [Paper] [Code]
6. Yousif, Y. M., & Müller, J. P. (2022). Generating Explanatory Saliency Maps for Mixed Traffic Flow using a Behaviour Cloning Model. Workshop of Multi-agent Based Sytems (MABS). [Paper]
7. Yousif, Y. M., & Hatem, I. (2021). Video Frames Selection Method for 3D Reconstruction Depending on ROS-Based Monocular SLAM. In Robot Operating System (ROS) (pp. 351-380). Springer, Cham. [Code]
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