Dimitrios Chamzas
Electrical & Robotics Engineer
Email : chamzas95@gmail.com
Phone : +1 224 659 3756
Electrical & Robotics Engineer
Email : chamzas95@gmail.com
Phone : +1 224 659 3756
Robot Operation System (ROS)
Robotic Manipulation
Object Detection and Recognition
Motion & Path Planning
Feedback Control Systems
Mechatronics
Python
Matlab
C/C++
C#
Java
Arduino
Teensy
Rasberry Pi
PIC32
Computer Vision Techniques
Machine Learning
Artificial Intelligence
OpenCV/OpenGL
Perception Algorithms and Techniques
GPU multiprocessing
Unity
Vuforia
I was born and raised in Xanthi, Greece. At 2013 I graduated from hight School with 18.0/20 cumulative average. Got Admitted at the department of electrical and computer engineering in University of Patras.
During my ungergraduate years I became an active member at the RoboticsClub untill 2019. This was my first experience with robots. I designed and manufactured PCB boards. Developed robotic algorithms(flood-fill) for micro-controllers with limited resources(teensy) and learned how to linearize distance sensors. Developed an online simulator to test the behavior of the robot in different environments. Me and my team got awarded many times the first prize at international ROBOTEX competition(one of the biggest in EU) in the category ”Following Line”(2016-2018) and ”Following Line Enhanced”(2016-2018)
At summer of 2017 I worked as a student inter at IridaLabs. I got familiarized with depth-images processing techniques and worked on a project of a VSLAM algorithm with o monocular camera.
At 2019 I did another intership at Athena Research Center. There I worked on a project where we constructed a multi-spectrum camera using multiple raspberry pi’s that was attached to a drone and constructed the 3D model of the old town from my local city.
Graduate with an integrated Master degree (3.1 GPA) with a minor in Electronics & Computer from the Dept. of Electrical and Computer Engineering of the University of Patras.
During my internship at Vecna Robotics, I integrated a new warehouse robot into Gazebo simulation and developed perception and planning capabilities using URDF modeling. I also improved the accuracy of landmark detection and triangulation, ensuring the robot's operational efficiency in warehouse environments.
M.S. in robotics (GPA 3.96) at Northwestern University, Chicago.
Specialized in developing emergency and critical safety systems for autonomous vehicles, including Model Predictive Control (MPC) for braking and real-time data logging solutions that enhanced system efficiency and safety.
Advanced vehicle autonomy in collaboration with MIT on swarm control and mission planning. Led projects on marine obstacle detection using computer vision and neural networks. Built Docker-based CI/CD pipelines, automated software updates, and developed AWS data collection pipelines for fleet management and analysis.
