Sensors & measurement data
Research on visualizing condition differences and detecting anomalies in depth, sound, and airflow measurements.
Using sensors, AI, and software to turn
problems found in research and education into working systems.

Engineering and research are the foundation; education is one of the main fields where I apply them today.
Research on visualizing condition differences and detecting anomalies in depth, sound, and airflow measurements.
Prototyping software with Python, Streamlit, and SQLite to investigate research questions.
Connecting needs observed in teaching to learning-material development and research on AI-assisted support.

Research on visualizing condition differences and detecting anomalies using depth, sound, and airflow measurements.
Python / Streamlit / SQLiteRESEARCH PROTOTYPEA research MVP implementing question entry, mock responses, comprehension feedback, and anonymous logging in SQLite.

A remote Young’s modulus experiment with Raspberry Pi data acquisition, visualization, and load control.
Education is one of the main fields where I apply technology and investigate practical needs. I develop and improve exercises, explanations, and hands-on materials for current courses.
Courses and material development →C Programming / Python Programming
Programming Applications (C++ / Java)
Fundamentals of Computing / Applied Cloud Computing
I am interested in applying engineering experience to practical problems in research and education.
Please get in touch about collaborative research, technical validation, teaching materials, or development for research and education.
Email about a project →Background and skills