Completed a PhD in Systems Engineering in 2023, with strong interests in software development, artificial intelligence, embedded programming, and microcontroller technology. I have around 10 years of hands-on experience working on diverse engineering and software projects, ranging from embedded systems to real-world AI applications. Passionate about building reliable, efficient, and innovative technologies that solve real-world problems.
📍 Remote | 📅 Jun 2022 – Present
Project: Custom UWB Chip Development
Responsibilities:
Technologies: C/C++, Python, Zephyr, AOSP, Android SDK, Linux, GitLab CI, VS Code, GDB, Terraform, Jira, Confluence
📍 Remote, Cluj | 📅 Jan 2021 – Dec 2023
Project: Image Segmentation & 3D Classification using ToF/LiDAR
Responsibilities:
Tools: Python, ROS, Jupyter, Google Colab, Visual Studio Code
📍 Cluj | 📅 Feb 2021 – Jun 2022
Subjects: Hydraulic & Pneumatic Systems, Robotic Control Systems
Responsibilities:
Tools: ROS, MATLAB, Codesys, WinPISA, FestoFluid
📍 Cluj County | 📅 Oct 2018 – Jan 2021
Projects: Daimler (Infotainment ECU), Faiveley (Train Diagnostic Logging System)
Responsibilities:
Technologies: C++, Linux, GIT, Jira, DOORS, Eclipse, Vector CANoe
📍 Cluj County | 📅 Sep 2017 – Oct 2018
Project: Nuance Communications (Speech recognition systems)
Responsibilities:
Tools & Technologies: C# , NUnit, Jira, VS Code
📍 Cluj County | 📅 Mar 2017 – Apr 2017
Project: Automated & manual web testing (Selenium, Postman)
Responsibilities:
Tools & Technologies: Selenium, Postman, NUnit
📍 Cluj County | 📅 Jul 2017 – Aug 2017
Project: Industrial Controller Simulator
📍 Cluj County | 📅 2016
Project: RGB LED Control with Microcontrollers
🎓 Ph.D in System Engineering, Technical University of Cluj-Napoca (2023)
Focus: 3D Object Recognition using embedded devices with ToF cameras
🎓 MSc in Applied Computer Science in Complex Systems Engineering, Technical University of Cluj-Napoca (2020)
Focus: Control system for self-driving cars
🎓 BSc in Automation, Technical University of Cluj-Napoca (2018)
Focus: Automation, Systems Engineering, Embedded Systems
🎓 High School Diploma in Informatics, National College “Mihai Eminescu” of Satu Mare (2014)
Focus: Mathematics & Informatics
C · C++ · Python · Bash · Android · Embedded · Linux
Zephyr RTOS · FreeRTOS · HAL · Kernel Modules · Device Drivers
ToF Cameras · LiDAR · UWB Systems
Linux (Ubuntu, Yocto (minimal knowledge), Embedded Linux) · AOSP · Android HAL · Android SDK
Git · GitLab CI/CD · Jenkins · Terraform · GDB · Eclipse · VS Code · Docker · ADB · Vector CANoe · Jira · Confluence
3D Object Detection · Segmentation · Depth Sensing · Point Clouds · OpenCV · NumPy · TensorFlow · ROS
OOP · Software Architecture · Unit Testing · Continuous Integration · Technical Documentation · Agile Development
Teaching & Mentoring · Research Writing · Automation Prototyping · Cross-functional Collaboration
Benjamin Kelenyi, Victor Domsa, Levente Tamas, SAM-Net: Self-Attention based Feature Matching with Spatial Transformers and Knowledge Distillation, Expert Systems with Applications, Volume 242, 2024, 122804, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2023.122804. Keywords: Geometric features extraction; Self-attention; Knowledge-distillation; Spatial transformers; Pose estimation
B. Kelenyi and L. Tamas, "D3GATTEN: Dense 3D Geometric Features Extraction and Pose Estimation Using Self-Attention," in IEEE Access, vol. 11, pp. 7947-7958, 2023, doi: 10.1109/ACCESS.2023.3238901. keywords: {Feature extraction;Three-dimensional displays;Data mining;Pose estimation;Computer architecture;Histograms;Point cloud compression;3D point-clouds registration;self-attention;geometric features extraction;pose estimation}
V. Domsa, R. Konievic, B. Kelenyi and L. Tamas, "Local Image Feature Extraction in the Context of Automated Valet Parking based on Simultaneous Localization and Mapping," 2023 European Control Conference (ECC), Bucharest, Romania, 2023, pp. 1-6, doi: 10.23919/ECC57647.2023.10178194. keywords: {Location awareness;Visualization;Solid modeling;Simultaneous localization and mapping;Three-dimensional displays;Pose estimation;Lighting}
Marian-Leontin Pop and Szilard Molnar and Alexandru Pop and Benjamin Kelenyi and Levente Tamas and Andrei Cozma, "CNN Based ToF Image Processing," Proceedings of the 20th Python in Science Conference, 2023, pp. 148-153, doi: 10.25080/majora-1b6fd038-013. keywords: {transfer learning, ToF, python}
Sz. Molnar, B. Kelenyi and L. Tamas, "Method for estimating normals for cameras with distance and color spectrum information, using neural CNN. keywords: {Location awareness;Visualization;Solid modeling;Simultaneous localization and mapping;Three-dimensional displays;Pose estimation;Lighting}
Kelényi, B., Molnár, S. and Tamás, L. (2022). 3D Object Recognition using Time of Flight Camera with Embedded GPU on Mobile Robots. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 849-856. DOI: 10.5220/0010972200003124
S. Molnár, B. Kelényi and L. Tamás, "ToFNest: Efficient normal estimation for time-of-flight depth cameras," 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Montreal, BC, Canada, 2021, pp. 1791-1798, doi: 10.1109/ICCVW54120.2021.00205. keywords: {Computer vision;Three-dimensional displays;Runtime;Codes;Conferences;Estimation;Cameras}
Molnár, S.; Kelényi, B.; Tamas, L. Feature Pyramid Network Based Efficient Normal Estimation and Filtering for Time-of-Flight Depth Cameras. Sensors 2021, 21, 6257. https://doi.org/10.3390/s21186257
Research collaboration at PTE Project (Analog Devices), Cluj-Napoca, Romania
Research collaboration at PED Project, Cluj-Napoca, Romania
Research collaboration at Robert Bosch GmbH, Cluj-Napoca, Romania
Research collaboration at Human Capital Operational Program 2014-2020, Cluj-Napoca, Romania