I am a Control and Automation Engineering student at Istanbul Technical University, working on autonomous systems, control, state estimation, and real-time robotics software.
My interests lie at the intersection of mathematical modelling and real-world robotic systems: estimating states from uncertain sensor data, designing feedback and model-based controllers, identifying system dynamics, and deploying these methods on autonomous platforms.
Control Feedback Control · State-Space Methods · LQR · MPC
Estimation Observers · Bayesian Estimation · Kalman Filtering · Sensor Fusion
Modelling System Identification · Koopman Methods · SINDy · Data-Driven Models
Robotics Localization · SLAM · Planning · Perception · Embedded Systems
Software C++ · Python · C · ROS 2 · CUDA · MATLAB · Simulink
|
Feedback control, state-space modelling, stability analysis, optimal control, Model Predictive Control, and control-oriented system design. |
State observers, Bayesian estimation, Kalman-family filters, Gaussian filtering, uncertainty modelling, and multi-sensor fusion. |
|
Physics-based and data-driven modelling, parameter estimation, dynamic system identification, Koopman operator methods, DMD/EDMD, and SINDy. |
Localization, SLAM, motion planning, perception, point-cloud processing, simulation, and real-time deployment on robotic platforms. |
|
Real-time, map-based 6-DoF localization using ROS 2, CUDA-accelerated ICP, and point-cloud registration.
|
A multi-sensor state-estimation framework combining GNSS, IMU, and vehicle-speed measurements.
|
Some of my current projects are private or developed within university research and competition teams.
| Area | Current Focus |
|---|---|
| Control & Optimization | Model-based control, optimal control, MPC, LQR, and data-driven control methods |
| Estimation & Sensor Fusion | Observers, probabilistic state estimation, Gaussian filters, and heterogeneous sensor fusion |
| System Identification | Dynamic modelling, parameter estimation, Koopman-based methods, DMD/EDMD, and SINDy |
| Localization & SLAM | Mapping, GNSS denied Localization |
| Perception & Planning | LiDAR processing, camera–LiDAR fusion, occupancy grids, and motion planning |
| High-Performance Robotics | CUDA acceleration, real-time C++, embedded NVIDIA platforms, and hardware-oriented testing |
Building systems that estimate, decide, and act under uncertainty.


