Mattiko Kabanen

Develops safety-critical real-time C++/Qt software for air traffic control systems. Builds and maintains video pipelines with GStreamer and RTSP, implements video object tracking using Kalman filtering, and develops SNMP-based monitoring of networked devices.

Developed safety-critical real-time C++/Qt software for air traffic control systems. Built and maintained video pipelines with GStreamer and RTSP, implemented video object tracking using Kalman filtering, and developed SNMP-based monitoring of networked devices.

Developed image recognition for airfield surroundings, detecting maintenance vehicles, people, wildlife, and aircraft.

Processed RESON multibeam sonar data and developed hydrographic post-processing software. Worked on surveillance software and radar data post-processing, including RAN, AEGIR, and AirView, and created 3D models of the Gulf of Finland seabed.

Ran a geodesy and land surveying business, handling everything from client contact to delivered survey results.

Activities and societies: Thesis: Identifying the Ordering Structure of Resting-State EEG Relative Power Using the Monotone Systems Method. Clinical practice in MRI quality assurance. Course project on AI methods for diabetic retinopathy detection.

Completed an MSc in Medical Technology and Physics with a thesis on clustering resting-state EEG spectral data.

Participated in the I.FAST Challenge-Based Innovation programme on Particle Accelerators for Healthcare, working in an international team to propose a healthcare solution.

Earned a BSc in Information Technology, with a thesis applying a convolutional neural network to detect objects in multibeam sonar data.

Completed an MSc in Geodesy and Land Management.