About Me

Who Am I?

Hi, I'm Benjamin. In 2023 I finished my Ph.D. in Artificial Intelligence. I’m passionate about electronics, programming, and robotics. I have always been interested in software engineering since my earlier school days. I had the opportunity to work as a Software Engineer intern at companies like Analog Devices, Hewlett Packard Enterprise and Fortech. During this period I had success gaining practical experience in embedded systems and Linux environments. Additionally, I managed to build a good foundation in different programming languages like C and C++ which helped me enormously in my robotics related projects as well. Also, I could grow in personal experience by working in Agile teams.

Embedded Programming

Artificial Intelligence

Software Development

Application Development

My Skills

C/C++

75%

Python

60%

Bash/Shell (Linux)

75%

ROS

40%

Microcontrollers (Intel, Atmel)

70%

Android

20%
Education

Education

Ph.D. – Artificial Intelligence

Focus subject: 3D Object recognition using embedded devices with ToF cameras

Master’s degree - Applied Computer Science in Complex Systems Engineering

Dissertation: Develop a control system for self-driving cars

Focus subjects: Automation, Systems Engineering, Embedded Systems

Thesis: Self-balancing robot

Profile: Mathematics and Informatics

Experience

Work Experience

Technical University, Cluj-Napoca 01/2021 – Present

Position: Teaching Assistant

Subjects: Hydraulic and Pneumatic Control Equipments, Robot Control System

Tools: ROS, Matlab, Codesys, WinPISA, FestoFluid

Analog Devices, Cluj-Napoca 01/2021 – Present

Position: Artificial Intelligence Researcher

Project: Image segmentation and classification with ToF/Lidar cameras

Tools: Jupiter, Google Colab, Visual Studio Code, ROS

Raptor Technologies, Cluj-Napoca 09/2018 – 01/2021

Position: C/C++ Developer

Project: Software development for Daimler ECU

Linux environment - C++ application development on multiple services

Tools: GIT, Jira, DOORS, ADB, Eclipse, Vector CANoe

Fortech SRL, Cluj-Napoca 08/2017 – 09/2018

Position:Junior Software Engineer

Project: Development of speech recognition software

Tools: Jira, Confluence, Sourcetree, Visual Studio, NUnit, SoapUI

Emerson, Cluj-Napoca 06/2017 – 08/2017

Position: C# Developer

Project: Implementation of a simulator for a remote operation controller

Tools: GIT, Visual Studio

My Publications

Recent Publications

3D object recognition using time of flight camera with embedded GPU on mobile robots

The main goal of this work is to analyze the most suitable methods for segmenting and classifying 3D point clouds using embedded GPU for mobile robots.

ToFNest: Efficient normal estimation for time-of-flight depth cameras

In this work, we propose an efficient normal estimation method for depth images acquired by Time-of-Flight (ToF) cameras based on feature pyramid networks (FPN).

Feature Pyramid Network Based Efficient Normal Estimation and Filtering for Time-of-Flight Depth Cameras

In this paper, an efficient normal estimation and filtering method for depth images acquired by Time-of-Flight (ToF) cameras is proposed. The method is based on a common feature pyramid networks (FPN) architecture. The normal estimation method is called ToFNest, and the filtering method ToFClean.

CNN Based ToF Image Processing

In this paper, a Time of Flight (ToF) camera-specific data processing pipeline is presented, followed by real-life applications using artificial intelligence. These applications include use cases such as gesture recognition, movement direction estimation, or physical exercises monitoring.

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Get in Touch

Contact

benjamin.kelenyi@gmail.com

Romania, Cluj, Cluj-Napoca, 400677

+40743586598