CV

Contact Information

Name Arul Selvam Periyasamy
Professional Title Research Scientist
Email doktorandarul@gmail.com
Location Eching, Bayern 85386

Professional Summary

Research Scientist in Edge Computing with expertise in developing and deploying AI models for advanced scene understanding applications. Specialized in object pose estimation algorithms and contributed perception modules for award-winning research robots. Proven track record in the complete AI development lifecycle, from model training to deployment across both cloud and edge computing environments. Combines deep technical knowledge in computer vision and machine learning with practical experience in robotics applications and cloud-based AI deployment strategies.

Experience

  • 2026 - current

    Garching bei München

    Research Scientist
    Siemens AG
    Research Scientist in Edge and Confidential Computing
  • 2024 - 2026

    Garching bei München

    Postdoctoral Researcher
    Siemens AG

Education

  • 2018 - 2023

    Bonn, Germany

    Ph.D.
    University of Bonn
    Robotic Perception
  • 2015 - 2018

    Bonn, Germany

    Master of Science
    University of Bonn
    Computer science

Awards

Projects

  • Learn2Grasp: Learning Human-like Interactive Grasping based on Visual and Haptic Feedback

    Bundesministerium für Forschung und Bildung (BMBF) funded research project

  • Learning Structured Scene Modeling and Physics-Based Prediction for Manipulation

    Amazon Research Grant

  • Amazon Research Grant

    Generalizing Scene Parsing for Cluttered Bin Picking

  • CENTAURO: Robust Mobility and Dexterous Manipulation in Disaster Response by Fullbody Telepresence in a Centaur-like Robot

    European Union (EU) funded project

Skills

Computer Vision: Object Detection & Pose Estimation, Semantic Segmentation, Deep learning, large language models (LLMs) & world models (WMs)
Robotics: Navigation, RGB-D Perception, SLAM
Edge & Cloud: Kubernetes, Docker, Confidential Containers

Languages

English : Fluent
German : Working proficiency