M. Mohaiminul Islam

Graduate Student
Department of Computer Science
South Asian University,New Delhi,India


Thank you for exploring my website.. I earned my bachelor from Department of Computer Science and Telecommunication Engineering (CSTE) at Noakhali Science and Technology University(NSTU),Bangladesh. And I finished my master's from Department of Computer Science at South Asian University(SAU),New Delhi,India. I have been actively engaged in the data field, serving as a data engineer and data scientist since 2021, contributing my expertise to various local and global domains. I aspire to incorporate state-of-the-art technology into the health and education sectors, fostering an improved ecosystem for the benefit of society. Currently, I am seeking admission to a Ph.D. program, with my primary areas of interest encompassing Blockchain, Machine Learning, Multi-Label Learning, Bioinformatics, Data Mining, Big Data, and more.




Repertoire

Computer Science Field

  1. Database Management          Relational Database
  2. Data Structure & Algorithm          DSA Fundamental
  3. Computer Networking          Computer Network Topics

Data Science Field

  1. Probability & Statistics       Prob & Stats
  2. Machine Learning           Machine Learning
  3. Deep Learning            Deep Learning
  4. Data Mining            Data Mining
  5. Blockchain       Blockchain

Projects

Decentralised Supply Chain Management System:

I designed and implemented a decentralized blockchain solution to optimize and secure supply chain operations. Leveraging smart contracts, immutable ledgers, and real-time tracking, this system enhances transparency, reduces fraud, and ensures the authenticity of products throughout the supply chain, ultimately improving efficiency and trust.

Link: GitHub Repo

Brain Tumor Detection:

I developed an AI-driven system utilizing medical imaging data. Employing advanced image processing and deep learning techniques, I created a model to accurately identify and classify brain tumors from MRI scans. This project aims to assist medical professionals in early diagnosis and treatment planning.

Link: Github Repo

Vehicles-Image-Recognizer:

The Vehicle Image Recognizer is a high-tech tool that automatically identifies and categorizes different types of vehicles in pictures. Using smart computer vision tricks, it's really good at figuring out all kinds of vehicles, like cars, motorcycles, helicopters, boats etc. It's like magic for telling what's in a picture of traffic or anywhere with vehicles. This smart tool helps out in lots of ways, making it easier to manage traffic, keep an eye on things with surveillance, and generally make sure everything is running smoothly. It's like having a super-smart friend that knows a lot about vehicles.

Link: Github Repo

Crypto-Currency-Analysis-Dashboard:

The objective of this Crypto analysis is to gain valuable insights into the cryptocurrency market from crypto website. Later I utilized the scraped data to understand the following Trends and relations using Tableau Dashboard:

Link: Github Repo

Predicting Customer Churn:

I built a machine learning model that can predict which customers are most likely to churn. This task involves working with a dataset that includes various customer attributes, account details, and their churn status (whether they have left the company's service).

Link: Github Repo

E-commerce-Data-Analysis:

I leveraged advanced data visualization techniques to extract valuable insights from a comprehensive dataset. By visualizing sales patterns, customer behavior, and product trends, I identified key growth opportunities and provided actionable recommendations to optimize business strategies and enhance overall performance.

Link: Github Repo

Prison Management System:

A desktop application to manage the details of the Prison, adding and updating prisoners, searching prisoner and their information.

Link: GitHub Repo

Thesis

My thesis delved into the primary challenge of supply chain-based blockchain: its limited throughput, resulting in slow transaction speeds. The aim was to address this issue by introducing the concept of region-based parallel mining, grouping transactions into distinct subsets. This methodology increased the TPS rate and improved the traceability of linked transactions within the blockchain.

As the number of concurrent jobs in a chain code increased, the response time of this supply chain-based blockchain grew exponentially. Additionally, data retrieval was time-consuming; for instance, while 20 queries resulted in a 0.5-second response time, 50 inquiries took significantly longer, approximately 1 second. This low TPS rate stemmed from serial transaction processing and verification.

For a detailed exploration of my thesis, you can download the PDF document: Msc Thesis PDF

Talks

Blockchain Overview

I gave a talk on blockchain, covering its history, how it works, etc. Here I provide some notes based on 3rd gen blockchain. Read more..

Consensus Mechanism

I describe in detail the consensus mechanism. Read more..

Resume

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Honor Award

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Contact

Address

New Chawdhury Para, Comilla
Niharika Palace
Floor-9/A
Comilla-3500, Bangladesh.


Email & Phone

niloy8649@gmail.com
+8801304869568

©2023, All Rights Reserved
M Mohaiminul Islam