Slide measure-analyze-optimize m-a-o PHYSICAL COMPUTING - DATA SCIENCE - ENGINEERING measure - analyze - optimize

Slide welcome

Slide Let's communicate with our environment understand what it has to tell us and make things better!

Slide measure

PROTOTYPING INSTRUMENTS MACHINE DATA

Slide analyze

DATA COLLECTION DATA MINING DATA VISUALIZATION

Slide optimize

EFFICIENCY PREDICTION SUSTAINABILITY

Slide live data

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Slide context data

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Slide press review

Slide Abstract: Poleward Intrusion of Circumpolar Deep Water Threatens Antarctic Ice Stability and Global Ocean Circulation

A multi-decadal observational study published in Communications Earth & Environment demonstrates that circumpolar deep water - a warm subsurface water mass - has undergone significant poleward expansion toward the Antarctic continental shelf over the past two decades. Given that the Southern Ocean absorbs the majority of anthropogenic excess heat, this thermal intrusion poses a substantial risk of destabilizing Antarctic ice shelves, with the continent's inland glaciers representing a potential sea-level rise equivalent of approximately 58 meters. Concurrent research indicates that the Atlantic Meridional Overturning Circulation (AMOC) is approaching a critical threshold of collapse, driven by the reduced density differential between warming polar waters and equatorial masses - a process fundamentally linked to Antarctic and Arctic meltwater influx. A collapse of the AMOC would produce cascading climatic consequences, including elevated Atlantic sea levels, displacement of the intertropical convergence zone, and severe temperature and precipitation anomalies across Europe. These findings collectively underscore the systemic interconnectedness of polar cryosphere dynamics and global oceanographic circulation, with far-reaching implications for coastal habitability and climate stability worldwide.

Source: TIME May 25, 2026
Author: Simmone Shah

Slide about me

Slide As engineer with hands-on vocational training and university degree, I am passionate about Physical Computing, Data Analysis, and Technical Optimization.

Under the motto “Measure – Analyze – Optimize”, I develop systems that capture, evaluate, and intelligently process physical quantities – from sensor data and control systems to efficient, data-driven solutions.

I combine engineering thinking with modern electronics and data-based analysis.

My goal: to make processes measurable, understand their interrelations, and achieve sustainable technical improvements.

What I do:
I work on projects in the following areas:

  • Sensor Technology and Data Acquisition
    Development of measurement systems using sensors, microcontrollers and computers.

  • Data Analysis and Visualization
    Processing and evaluating measurement data, e.g. via ThingSpeak, Python, or cloud APIs.

  • Optimization of Technical Processes
    Using intelligent control systems to increase efficiency and reduce errors.

    Why Measure, Analyze, Optimize?
    I firmly believe: Only what can be measured can be improved.
    Whether in energy efficiency, automation, or data processing – precise measurement is the first step toward informed decisions.
    Analyzing data reveals patterns and potential, and through targeted optimization, ideas turn into tangible improvements.

    This philosophy shapes my work – structured, data-driven, and driven by technical curiosity.

    • Slide APPLIED KNOWLEDGE: Microcontroller:
    - Arduino, C++
    - ESP32, C++, micropython
    - ARM Cortex-M, C++, micropython

    Programmable Logic Controller (PLC):
    - Controllino, C++

    Internet of Things (IoT):
    - Node-Red
    - ThingSpeak

    Single-Board Computer (SBC):
    - Raspberry Pi, Linux

    Databases:
    - InfluxDB
    - MySQL

    Data analysis:
    - Python, SciPy, TensorFlow, Keras, Scikit-learn

    Visualizations:
    - Python matplotlib, seaborn, Plotly
    - Grafana

    Websites:
    - WordPress-CMS
    - HTML, JavaScript, CSS

    Slide SELECTION OF COMPLETED PROJECTS:
  • Measurements and operational optimization of a solar domestic hot water system in a multi-family residential building.

  • Energy analyses based on measurement data in the industrial and service sectors.

  • Energy data analysis and creation of energy flow diagrams in the district heating sector.

  • Exhaust gas monitoring of a 3 MW combined heat and power (CHP) plant unit to demonstrate compliance with legal emission limits.

  • Long-term wind measurements in an alpine region (2550 m ASL), including data evaluation as a basis for a planned wind farm.

  • Numerous data analyses from SCADA systems.

  • Metrological verification of CO2 reductions achieved by several district heating plants for inclusion in the sustainability report.

  • Measurement-based verification of nitrogen oxide (NOₓ) reduction through hydrogen admixture in a 3.2 MW natural gas combined heat and power (CHP) plant as part of a European research project.

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