CV

Contact Information

Name Alireza Parchami
Professional Title Research Engineer
Email alpa00003@stud.uni-saarland.de

Experience

  • 2025 - 2026

    Stuttgart, Germany

    Thesis Candidate/Researcher
    Mercedes-Benz Tech Innovation / UdS HCI Lab
    Developed in-car XR system using digital twins & Ray-Tracing algorithms; Researched multi-modal transformer-based network for real-time POI prediction.
    • Supervisor: Prof. Dr. Jürgen Steimle
    • Advisers: Artin Saberpour, Robin Connor Schramm
  • 2024 - 2025

    Zurich, Switzerland

    Research Intern
    Walt Disney Research Studios / ETH Zurich
    Researched on stylized 2D workflows from RGB videos exploring dual methods: traditional toon shaders vs. Generative AI (Stable Diffusion, LoRA, ControlNet).
  • 2022 - 2024

    Saarbrücken, Germany

    XR Developer & Researcher
    August-Wilhelm Scheer Institut (AWS-i)
    Designed and Developed two innovative projects on digital education using XR and Haptic devices
  • 2021 - 2022

    Saarbrücken, Germany

    Research Assistant (HIWI)
    Image Synthesis and ML Group, Max Planck Institute for Informatics
    Engineered and Researched on GAN-based Image Synthesis
  • 2021

    Switzerland (Remote)

    Summer Research Intern
    VITA-Lab, École Polytechnique Fédérale de Lausanne (EPFL)
    Researched on Knowledge-driven Visual Understanding of Autonomous Vehicles
    • Supervisor: Prof. Dr. Alexander Alahi
    • Advisors: Dr. Yuejiang Liu, Dr. Mohammadhossein Bahari
    • More info…
  • 2021

    England (Remote)

    Research Assistant
    CAV-Lab, University of Surrey (coop. with Jaguard Land Rover)
    Researched on ADAS Fault Diagnosis using RGB Frames in Autonomous Cars
    • Supervisor: Prof. Dr. Saber Fallah

Education

  • M. Sc. Visual Computing
    Saarland University, Germany
    Computer Science Department
    • Focused on Computer Graphics, Rendering, 3D Computer Vision
    • Select Cousework: Ray Tracing and Global Illumination (1.7/1.0), Computer Graphics(2.0/1.0), Realistic Image Synthesis(2.3/1.0), Ultrasound Imaging (2.3/1.0), Photorealistic 3D Reconstruction with Deep Learning (2.3/1.0)
    • Thesis: Multimodal Resolution for Outside the Vehicle References in Dynamic Automotive Environments, Grade: TBD
  • B. Sc. Computer Engineering - Information Technology
    Univesity of Isfahan, Iran
    Computer Science Department
    • Ranked within the top 10% of the class
    • Focused on Data Structure & Algorithm, Machine Leaning, Image Processing
    • Thesis: Efficient Full Quaternion Representation for Color Images via Autoencoders, Grade: 100/100, Paper

Awards

Skills

Programming Languages: C++, Python, C#, MATLAB
Libraries: PyTorch, TensorFlow, OpenCV, Qt, CUDA
Tools: Unity 3D, ComfyUI, COLMAP, Blender, MeshLab, CMake
Professional: Research & Analysis, Parallel & GPU-Accelerated Computing, High-Performance Machine Learning, Algorithm Design