cv
Curriculum vitae — download the full PDF using the button on the right.
Basics
| Name | Ilyas Seckin |
| Label | Doctoral Researcher · Control, Robotics & Machine Learning |
| iseckin@ethz.ch | |
| Phone | +41 79 329 07 18 |
| Url | https://ilysec.github.io |
| Summary | Doctoral researcher at the Automatic Control Laboratory (IfA), ETH Zürich, and inspire AG, working at the intersection of intelligent additive manufacturing, control systems, robotics, sensing, and machine learning. |
Work
-
2025.10 - Present Doctoral Researcher
Automatic Control Laboratory (IfA), ETH Zürich & inspire AG
PhD research on improving the reliability of material-extrusion 3D printing through physical modelling, force-based process monitoring, data-driven system identification, and closed-loop control. In the Control and Automation group of Dr. Efe C. Balta, supervised by Prof. John Lygeros.
- Intelligent additive manufacturing: physics-based process models and force-based in-situ monitoring
- Data-driven identification and closed-loop control of the extrusion process
-
2025.05 - 2025.10 Research Assistant — perfusionX
Institute for Dynamic Systems and Control (IDSC), ETH Zürich
Developed a next-generation ex vivo perfusion machine for organs such as livers and limbs, in cooperation with the University Hospital of Zurich (USZ).
- Medical hardware, software, and control systems
-
2024.09 - 2025.02 R&D Intern — Rate Control Optimization
Mettler Toledo
Developed and tested control software within the Data Science and IoT team to optimize precision and throughput in automated filling applications (IND360rateControl).
-
2024.02 - 2025.03 Research Assistant — Swiss eBus Plus
Institute for Dynamic Systems and Control (IDSC), ETH Zürich
Developed control and monitoring software for electric public buses, in partnership with the Swiss Federal Office of Energy (BFE), Carrosserie HESS AG, and Zurich Public Transportation (VBZ).
-
2022.10 - 2023.09 Electrical and Software Engineer
MetaSuit
Built sensor data acquisition, logging, and processing pipelines (Python); computer vision and image processing (OpenCV); and VR interfaces (C#).
-
2022.02 - 2024.02 Teaching Assistant
Computer Science, ETH Zürich
Led exercise sessions and gave feedback on assignments in object-oriented programming (C++). Selected by students to teach the Exam Preparation Course.
- Selected as Excellent Teaching Assistant by students (2022, 2023)
Volunteer
-
2025.08 - Present Perception Lead
ETH Robotics Club — Autonomous Racing Drone
Leading a 6-member team developing real-time motion capture, visual-inertial odometry (VIO), gate detection, and 6-DoF pose estimation.
-
2022.09 - 2024.03 Co-President / Treasurer
AMIV blitz, ETH Zürich
Managed accounting, marketing, and sponsorships (~CHF 50,000 annual revenue) for the bi-weekly magazine of ETH's mechanical and electrical engineering student association.
-
2022.04 - Present Head of Engineering (Electrical & Software) / Advisor
Swissloop Tunneling
Progressed from Mechanical Design Engineer to Co-Head of Engineering, leading electrical, software, and control teams of ~15 engineers, and now advising the leadership and engineering teams.
- 1st Place Overall & Champion Award, Not-a-Boring Competition 2024
- 2nd Place Overall & Innovation Award, Not-a-Boring Competition 2023
Education
Awards
- 2024.03.01
1st Place Overall & Champion Award — Not-a-Boring Competition
The Boring Company (with Swissloop Tunneling)
Bastrop, TX, USA.
- 2023.04.01
2nd Place Overall & Innovation Award — Not-a-Boring Competition
The Boring Company (with Swissloop Tunneling)
Bastrop, TX, USA.
- 2023.01.01
Excellent Teaching Assistant (selected by students)
ETH Zürich — Computer Science
Recognized in both 2022 and 2023.
- 2018.03.01
IIER Excellent Paper Award
International Institute of Engineers and Researchers, Chicago, USA
- 2018.03.01
Publications
-
2025.01.01 Machine Learning Based Anomaly Detection for Ex Vivo Perfusion (Master's Thesis, grade 6.00/6.00)
IDSC, ETH Zürich — with University Hospital of Zurich (USZ)
Multivariate time-series anomaly detection during ex vivo perfusion of organs, using LSTM and autoencoder-based deep learning. Supervisor: Prof. Dr. Christopher Onder.
-
2023.01.01 Investigation of Resampling Methods for the RPGD Optimizer (Bachelor's Thesis, grade 5.75/6.00)
IDSC, ETH Zürich
Resampling strategies for a non-linear, sampling-based MPC optimizer (Resampling Parallel Gradient Descent) for autonomous driving and racing. Co-supervisors: Prof. Dr. Emilio Frazzoli, Prof. Dr. Tobias Delbrück.
-
2019.01.01 Investigation of the Behavior of Electric Current in Human Cells under the Impact of a Pulsating Magnetic Field
Global Scientific Journal, Vol. 7, Issue 1
-
2019.01.01 Reduction of Wear in Vehicle Pistons with Copper Oxide Effect and Extension of Motor Life
Global Scientific Journal, Vol. 7, Issue 1
Skills
| Control & Estimation | |
| Model Predictive Control | |
| System Identification | |
| Kalman Filtering | |
| Closed-loop Control | |
| Optimization |
| Robotics & Perception | |
| ROS / ROS2 | |
| Visual-Inertial Odometry | |
| 6-DoF Pose Estimation | |
| Computer Vision (OpenCV) | |
| Embedded Systems |
| Machine Learning | |
| PyTorch | |
| Time-Series Anomaly Detection | |
| LSTM / Autoencoders | |
| Data-driven Modelling |
| Programming & Tools | |
| Python | |
| C++ | |
| C# | |
| MATLAB | |
| SQL | |
| Linux | |
| Git / GitLab | |
| Azure DevOps |
| Computer-Aided Design | |
| Siemens NX | |
| SOLIDWORKS |
Languages
| Turkish | |
| Native |
| Russian | |
| Native |
| English | |
| Fluent |
| German | |
| Fluent |
| Chinese | |
| HSK 3 Certificate |
| French | |
| Beginner |
Interests
| Astronomy | |
| Astrophotography | |
| Astrophysics | |
| Photography |
| Music | |
| Piano | |
| Clarinet | |
| Bass Guitar | |
| Composition | |
| Conducting | |
| DJing |