Dilan Gelturan
Control And Automation Engineering Student
Korfez
Summary
I am Dilan Gelturan, a final-year Control and Automation Engineering student at Yıldız Technical University (GPA: 3.15/4.00). I have focused on control systems, automation, and Python programming throughout my studies. I have experience in image processing, object-oriented programming, and real-time control through various projects. For my graduation project, I’m designing a Discrete Model Predictive Control (MPC) system for the landing phase of a UAV. I aim to specialize in control and autonomous systems. I’m a curious, solution-oriented individual who enjoys learning, teamwork, and exploring new cultures.
Overview
2
2
years of professional experience
9
9
years of post-secondary education
5
5
Certifications
Work History
FORD OTOSAN
Paintshop Tech. & Automation Department Intern
11.2024 - Current
- Conducted feasibility and TARR studies for the replacement of high power motors with IE4 efficiency class motors, aiming to improve energy efficiency across the factory.
- Collaborated on an image processing and collaborative robot (cobot)-based system to optimize and error-proof the barcode labeling process, enhancing traceability and operational accuracy.
- Took part in a predictive maintenance project by identifying critical pump locations and integrating vibration sensors to enable early failure detection and reduce downtime.
- Contributed to the Skid Measurement Project by developing a preventive system to address defects caused by paint shop skids; conducted root-cause analysis and feasibility assessments.
- Strengthened technical and communication skills through active participation in cross-functional teams, effectively coordinating with engineering, automation, and supplier units.
TURKISH AEROSPACE
Autonomous Systems Department Engineering Intern
08.2024 - 09.2024
- Developed motion detection applications using OpenCV and implemented image processing algorithms such as background subtraction and frame differencing.
- Applied object-oriented programming principles in Python to build modular and reusable software components.
- Developed and simulated an autonomous drone mission using ROS, including takeoff, waypoint navigation, and autonomous landing, integrating perception and control modules in a realistic environment.
- Contributed to projects as part of an AGILE development team, actively participating in iterative planning and implementation processes.
YILDIZ AUTONOMOUS DESIGN AND RESEARCH (YODA)
Software Team Member
09.2023 - 11.2024
- Developed image processing algorithms for lane detection in an autonomous vehicle project, designing the perception module of the system.
- Designed a PID controller for vehicle steering and tuned control parameters to match system dynamics.
- Participated in the TEKNOFEST Robotaxi – Passenger Autonomous Vehicle Competition and achieved 5th place.
- Improved teamwork and coordination skills by actively participating in collaborative development and task sharing within the project team.
ECEMTAG CONTROL TECHNOLOGIES
Control and Automation Engineering Student Intern
07.2023 - 08.2023
- Developed web scraping applications using Python to extract structured data from various websites, utilizing libraries such as BeautifulSoup, Requests, and Selenium efficiently.
- Participated in projects based on the AGILE methodology, contributing to sprint planning, task tracking, and iterative development cycles.
- Strengthened skills in communication, feedback exchange, and rapid adaptation through active involvement in a fast-paced, collaborative team environment.
Education
BACHELOR - Control And Automation Engineering
Yıldız Technical University
Istanbul 09.2020 - 06.2025
HIGHSCHOOL -
Körfez Science Highschool
Kocaeli 09.2016 - 06.2020
Skills
- English B2, German A1
- PYTHON
- MATLAB/SIMULINK
- C/C
- Controller Design
- Image Processing
- AGILE Working
- Teamwork
- Strong Communication
- Problem-Solving
- SIEMENS,OMRON, PHONEIX PLC
- ROS
- Object Oriented Programming
- Project Management
- Microsoft Office Tools
Projects
- Designed a discrete-time Model Predictive Control (MPC) system for the landing phase of a fixed-wing unmanned aerial vehicle (UAV) as final project.
- Designed a game simulation using the PIC18F45K22 microcontroller in C, implemented and tested on the Proteus platform.
- Developed LQR based SAC Reinforcement algorithm for controlling nonlinear system dynamics by using Python.
Certification
5Th Place – TEKNOFEST Robotaxi – Passenger Autonomous Vehicle Competition
Timeline
FORD OTOSAN
Paintshop Tech. & Automation Department Intern
11.2024 - Current
TURKISH AEROSPACE
Autonomous Systems Department Engineering Intern
08.2024 - 09.2024
YILDIZ AUTONOMOUS DESIGN AND RESEARCH (YODA)
Software Team Member
09.2023 - 11.2024
ECEMTAG CONTROL TECHNOLOGIES
Control and Automation Engineering Student Intern
07.2023 - 08.2023
BACHELOR - Control And Automation Engineering
Yıldız Technical University
09.2020 - 06.2025
HIGHSCHOOL -
Körfez Science Highschool
09.2016 - 06.2020