Habibur Rahman
Research Assistant

Habibur Rahman

Gyeongsang National University

Hello, I'm

Habibur Rahman

System Engineering & Machine Learning Researcher

I am currently pursuing a Master's degree in System Engineering and Machine Learning at Gyeongsang National University, where I also serve as a Research Assistant at the Big Data Software Laboratory. My academic journey began with a Bachelor's degree in Computer Science and Engineering from Daffodil International University (DIU). I am deeply engaged in research focused on Operating Systems and Solid State Drives, with a strong aspiration to become a System Engineer. My passion extends to exploring the intersections of quantum computing, machine learning, and their applications across various fields.

Research

Eshyana - SSD Simulator

My primary research centers around developing a comprehensive Solid State Drive (SSD) simulator called Eshyana. The name is a meaningful combination of my niece's and daughter's names, Eshika and Eyana. Eshyana aims to provide an advanced simulation environment for SSDs, offering detailed insights into their internal operations, performance, and interaction with operating systems. By focusing on SSD behavior at the system level, the simulator will enhance the understanding of storage systems and their critical role in modern computing.

OS & SSD Integration

As part of my research, I am deeply engaged in exploring how SSDs interact with Operating Systems. My work aims to bridge the gap between hardware and system-level software, providing valuable insights into how file systems, memory management, and I/O scheduling can be optimized for SSD performance. The ultimate goal is to enable more efficient and reliable storage solutions by integrating SSD technologies more effectively with operating systems.

System Engineering

My research aligns with my aspiration to become a System Engineer. By working on Eshyana, I am gaining in-depth knowledge of system design, storage architecture, and the operating system's role in managing hardware resources. This hands-on experience is shaping my expertise in system-level engineering, enabling me to contribute to the advancement of future storage solutions and system architectures. My goal is to innovate in the field, focusing on optimizing hardware-software integration.

Latest News

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Dece

Spoon AI Hackathon

7th Position at Spoon AI Hackathon

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2
Apri

Live talk show on Coronathon 2019

In a live talk show during Coronathon 2019, discussions centered around AI research and the unveiling of a project aimed at detecting COVID-19 using artificial intelligence.

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2
Marc

Daffodil International University has developed a method for identifying COVID-19 using artificial intelligence. | The Daily Campus

Daffodil International University claims to have developed a new method for identifying COVID-19 using artificial intelligence technology. The assertion is made by researchers from the Public Health Department, Artificial Intelligence Unit, and a group of researchers from Cardiac General and Specialized Hospital.

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2
Marc

In Bangladesh, artificial intelligence technology will be recognized as 'COVID-19' | Somoy News

Developed in Bangladesh, a method of identifying the COVID-19 virus using artificial intelligence technology has been invented by a group of researchers from the Public Health Department of Daffodil International University and Cardiac General and Specialized Hospital.

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2
Marc

In just a few seconds, COVID-19 patients will be identified! | Ekattor TV

MD Habibur Rahman, a young researcher, unveils an AI innovation heralding a significant milestone in Bangladesh's fight against COVID-19, highlighting the pivotal role of artificial intelligence in pandemic management

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0
Apri

In Bangladesh, artificial intelligence technology will be recognized as 'COVID-19 | News | DeeptoNews

Young researcher MD Habibur Rahman has developed an AI tool, signifying a pivotal recognition of artificial intelligence technology as a valuable asset in combating COVID-19 in Bangladesh.

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3,
Sep

Abstracts selected as best papers by category

[★ The 31st Korean Peninsula Society of Chemistry] selected Eyana: The SSD Simulator as best abstract by category...

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