Bridging Technology through my Internship at Hanoi University of Science & Technology

Internship at the Technology Department of Hanoi University of Science & Technology was a defining experience that merged computer science with real-world environmental applications. I had the unique opportunity to develop Python-based control systems for aquaculture using a credit card-sized computer, allowing me to explore automation, embedded systems, and sustainable aquaculture solutions.

 

Mastering Python for Embedded Systems

Upon joining the internship, I quickly realized that coding wasn’t just about writing lines of syntax, it was about solving real-world problems efficiently. My first challenge was learning Python to program and control electronic systems, which would later be used in smart aquaculture monitoring.

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🔍 Key Learning Areas:
✅ Understanding Embedded Systems – I worked with single-board computers (SBCs) like Raspberry Pi, learning how to write Python scripts to control sensors and actuators.
✅ Hardware-Software Integration – I programmed temperature, pH, and oxygen level sensors to collect real-time data from fish farming environments, ensuring optimal conditions for aquatic life.
✅ Automation & Remote Monitoring – I developed basic automation algorithms that allowed the system to trigger alerts and regulate water quality parameters based on live data readings.

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Through this hands-on experience, I saw how Python’s simplicity and power make it an essential tool for IoT and embedded applications.

 

Applying Python to Smart Aquaculture Systems

With Vietnam’s growing aquaculture industry, I wanted to explore how technology could improve water management and sustainability. Working alongside researchers, I helped prototype an intelligent monitoring system that:

🌊 Measured & Recorded Water Quality Parameters – Using Python scripts, I processed data from sensors measuring pH, oxygen levels, and turbidity, essential for maintaining a healthy aquatic ecosystem.

⚡ Developed Automated Responses – I wrote conditional logic algorithms that triggered actions such as:

• Activating aerators if oxygen levels dropped below a critical threshold.

• Sending alerts to farmers via SMS if water quality deviated from safe parameters.

📡 Integrated Remote Access – I explored Wi-Fi-enabled monitoring, allowing fish farmers to track real-time conditions from their smartphones, reducing the need for manual inspections.

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Through this project, I witnessed how technology and sustainability intersect, and how embedded computing can drive efficiency in agriculture and aquaculture.

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Reflections on Engineering for Impact

My internship at Hanoi University of Science & Technology was more than just a technical learning experience, it was an introduction to how computer science can revolutionize industries like aquaculture.

🚀 Key Takeaways:
✅ Programming is a powerful tool for sustainability – I saw firsthand how Python and embedded systems can optimize natural resource management.
✅ Hands-on projects accelerate learning – Writing Python code directly applied to real-world systems gave me a deeper understanding of IoT, automation, and data-driven decision-making.
✅ Technology has a global impact – Simple innovations in monitoring and automation can increase food security, reduce waste, and improve efficiency in developing industries.

 

This experience reinforced my passion for AI-driven applications, IoT, and sustainable technology solutions, and it inspired me to explore how engineering can drive meaningful environmental change.