MY CURRENT PROJECT
BenevoBot
A Vision Rooted in Kindness and Innovation
The Name of The Robot
I named my future robot BenevoBot as a reflection of my name, Phúc Nhân:
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Phúc means blessing or prosperity, and
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Nhân means kind-hearted or benevolent.
Combining these meanings, I wanted the name to embody the core values of kindness, care, and the pursuit of helping others in times of need. BenevoBot is not just a machine—it represents a mission to assist and save lives with compassion. At first this robot didn't have a specific name for it but i decideded to make it real in the future so this new name came up to my mind.
When my parent was young, they came from a very poor area in central Vietnam, a region frequently hit by disasters, especially floods, which occur every year. They taught me to appreciate where I live now, in the bigger, more developed city of Ho Chi Minh City. But back then, in their small village, floods were a regular and deadly occurrence. Many neighbors tragically lost their lives, unable to hold on long enough for rescuers to reach them. The floods still occur on a large scale in recent years, and seeing this ongoing devastation gave me an idea. I came up with an idea for a special type of lifebuoy. This lifebuoy wouldn’t just help people stay afloat and swim during floods—it would also provide essential food supplies, helping them survive until rescue teams arrive.
Future Vision for BenevoBot:
I am currently developing a specialized lifebuoy with the following key features:
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Survival Assistance: The lifebuoy not only helps people stay afloat and swim during floods but also provides essential food supplies to help victims survive until rescue teams arrive.
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Working Prototype: A functional version of this lifebuoy has already been built and tested, and it successfully operates under manual control.
In the future, I aim to improve the lifebuoy's capabilities:
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Autonomous Rescue: Develop the lifebuoy to autonomously detect victims from a remote distance, eliminating the need for manual control.
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Multiple Rescues: Enable the device to rescue more than one person at a time.
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Wave Balance Technology: Improve the lifebuoy's ability to balance itself on turbulent waves during travel, ensuring safer and faster rescues.
Scientific Diagram
The 3d model
MY COMPLETED PROJECTS
I've always felt a deep connection to the sea. My mother's hometown is by the coast, and every summer, I would eagerly visit my grandparents, spending hours swimming in the ocean and playing on the beach. Those moments were a highlight of my childhood. However, during later trips to other coastal areas, I began to notice oil slicks polluting the water, killing marine life and leaving them floating on the surface.
Witnessing this devastation was heartbreaking, and I knew I had to do something to help. That’s why I encouraged my friend working with me to develope a device designed to skim oil from water surfaces, aimed at reducing environmental harm in coastal fishing villages. I carried out extensive testing and optimization trials to improve its performance, contributing to efforts in marine conservation and supporting communities that rely on the sea for their livelihoods.
I was born and raised in a country where one-third of the land is dedicated to agriculture, giving me the chance to travel across many provinces and witness farmers working tirelessly in their fields. Despite their efforts, I’ve seen numerous challenges, particularly in rice cultivation, which is vital to our food supply. Unfortunately, rice productivity is often hindered by diseases that affect crops each year.
To address this, my team and I developed a method that uses artificial intelligence to detect and recognize rice diseases with high precision. By leveraging deep neural networks, I implemented the YOLOv8 network for detection and DenseNet-121 for recognition. After testing this approach on both the Kaggle and Vietnamese rice disease datasets, I achieved accuracy rates of 93% and 96%, respectively, demonstrating the method's effectiveness in diagnosing rice diseases early and accurately.
My journey into thin film technology began with a fascination for innovative materials. Driven by the desire to create a transparent and thermoelectric material, me and my team developed gallium-doped zinc oxide (GZO) thin films. I conducted a thorough analysis of GZO’s properties using X-ray diffraction (XRD), scanning electron microscopy (SEM), and UV-Vis spectroscopy to assess its potential for electronic and optoelectronic applications.
Along with the gallium research, I also focused on aluminum-doped zinc oxide (ZnO) thin films. Me and my team prepared these films using DC magnetron sputtering, adjusting aluminum concentrations between 3% and 5% by weight and sputtering at 60 watts for 20 minutes.
To enhance their properties, we annealed the films at temperatures ranging from 300°C to 500°C in an argon atmosphere. Characterizing the crystal structure with X-ray diffraction revealed a hexagonal wurtzite structure, while UV-Vis spectroscopy confirmed their transparency. Testing their thermoelectric potential with Seebeck coefficient and conductivity measurements showed promising results. This research opened the door to exciting applications in energy harvesting and environmental solutions.
