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Posts
New to Blockchain Development? Build your first dApps in under 20 minutes
Published:
Today, we are going to build and deploy a decentralized application in under 20 minutes. If you are new to blockchain development like me, this tutorial is for you. I presume you already know what blockchain is, what the components of the blockchain are, and how the chain system works. You also have some idea about the difference between the Bitcoin network and the Ethereum network. In simple terms, using the Bitcoin network, you can only buy, sell or transfer Bitcoin (cryptocurrency) to another wallet, whereas, in the Ethereum network, you can buy, sell, and exchange Ether (cryptocurrency) as well as develop your decentralized application and deploy it. You can read about all these concepts in detail with a simple Google search. Now, let’s dive into the development. …
Top 10 Most Cited Artificial Intelligence Papers of 2024: Insights and Innovations
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Artificial Intelligence (AI) is no longer just a futuristic concept – it’s a transformative force reshaping industries, solving complex problems, and sparking new ways of thinking. From revolutionizing healthcare with biomolecular modelling to making education more accessible and personalized, 2024 has been another groundbreaking year for AI research. But what truly stands out this year is how researchers address AI’s most significant challenges: explainability, ethical concerns, and adaptability to real-world problems. …
Dissection of an ERC-20 StableCoin: Understanding the stablecoin smart contract (Part Five)
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Hopefully, this will be the last part of the study of the stablecoin smart contract. We have come a long way, starting from mapping among the abstract contracts, interfaces, and contracts to detailed descriptions of each contract’s function. Now, we are left with some critical functions of the contract StableCoin. In this section, we will complete the study of the codes.
Dissection of an ERC-20 StableCoin: Understanding the stablecoin smart contract (Part Four)
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Congratulations! You have come a long way. We completed up to StableCoin contract brief description. In this part, we will dive deep into the functions of the StableCoin contract.
Dissection of an ERC-20 StableCoin: Understanding the stablecoin smart contract (Part Three)
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It feels great to start writing part three. In the previous part, we started discussing the ERC20Upgradeable contract. After the initial summary description, we dived deep into the internal functions and completed up to _burn () function. In this section, we will continue with the rest of the functions. …
Dissection of an ERC-20 StableCoin: Understanding the stablecoin smart contract (Part Two)
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This is the continuation of my study of stablecoin smart contract. In the previous part, we introduced the smart contract code, illustrated a dependency mapping among the contracts and interfaces, started describing the abstract contracts, and we could cover up to PausableUpgradeable . You can find all the parts of the article in the following links: …
Dissection of an ERC-20 StableCoin: Understanding the stablecoin smart contract (Part One)
Published:
I have started studying a Stablecoin smart contract that is already running in Ethereum Mainnet. To better understand it, I think it is best to share my understanding with you and engage in a healthy discussion. The code for the stablecoin can be found here.
Upscaling images using EDSR and LapSRN
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In this blog post, we will build a web application to upscale your low-resolution image. To build the application, we will use Streamlit, which we can run on our local PC. You can also deploy the application to the Streamlit cloud server for free. For this development, I will only show you how you can use the EDSR (Enhanced Deep Residual Networks for Single Image Super-Resolution) and LapSRN (Laplacian Super Resolution Networks) trained models directly for your application and get the result. The full implementation of the code is available in my GitHub repository. …
Building a Conversational Web Application for PDF Documents using Mistral-7B-v0.1
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In this blog post, we’ll walk through the development of a web application that allows users to interact with PDF documents via a conversational AI interface. This application leverages modern AI tools and frameworks to process and query text extracted from multiple PDF files. We’ll cover the design choices, key components, and code implementation. You can get full implementation of the application on my Github repository. …
Building a Web Application: Embedding Texts from Web Links and Creating an Interactive Chat Interface
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In this blog post, I’ll guide you through the process of building a web application that embeds texts from web links and provides an interactive chat interface. YOu can build this web application for your university or college so that people can ask questions about known topics and get instant answers. There can be other use cases of the application, like for small businesses that provide various services like tax audition or accounting, for healthcare centers, sports centers, or gyms. Additionally, the application can have numerous use cases related to your lives. We will use Python with the Streamlit framework, LangChain for handling embeddings, FAISS for efficient similarity search, and HuggingFace models for generating responses. This application consists of two main parts: embedding the texts from web links and building the main application interface. You can get the complete code implementation in the GitHub Repository. …
Building a Document-Driven Chat Application with Streamlit and LlamaCPP
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Integrating sophisticated models into user-friendly applications is becoming increasingly important in the rapidly evolving world of AI and machine learning. This blog post will walk you through creating a document-driven chat application using Streamlit and LlamaCPP. This application allows users to upload and interact with text documents through a chat interface powered by LlamaCPP embeddings and the Qwen-0.5b-Chat model. Get full code in the GitHub repository. …
How it feels like to be a beginner?
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If you are wondering how other people feels when they start something new then you should not think much. because all of us including me feels the same as you are feeling. Here’s my story comes…
Only a great idea can’t save your day!
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Some days ago i was talking to my big brother. He has done Bachelor degree in Pharmaceutical. But he shifted to marketing. And undergoing his MBA right now. Due to pandemic situation he is postponing his studies. Recently he shifted from Radiant Pharma to DBLPharma. This new job gave him some benefits like he is going to earn more, new office is close to home and he got promotion. Besides these he might find his suitable working environment. This was one of the causes to leave Radiant …
It’s a confusing post!
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Most of the blog post I am writing here are for my children. It might so happen that I may die. That time these are for them. For the bumpy rides in this world. Life is never so easy and life’s going to hurt you in your every step of your life. So better be prepared …
My Undergraduate Thesis Journey
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It is my last year in the Computer Science and Engineering undergraduate course. So like other undergrads I also need to do a research on a computer science topic. But according to my university my thesis should be more focused to doing a project rather than solely focused on writing paper. …
What do you think about the social problems going on around you?
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It is a complicated issue to handle. I face struggles when I come across to this topic: this news and these stories. I was in class, reading a book. I was feeling tired, that’s why I went to the 5th floor to meet Masud vai. He was watching a Tamil movie. Sorry, that I didn’t ask the name. I sat beside him and started seeing the movie. I usually don’t do that. Especially when it comes to Tamil or Telegu movies as to me, the films are like showing of unrealistic action scenes even though I started watching the movie. …
Does God Exists: From the Perspective of a Programmer
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It is a controversial topic. And humans have been trying to find the answer to this question for centuries. It’s not like that today; I will give a verdict. No! I will share some of my thoughts with you to discuss them, and No arguing among us. We all are different, and we all have different opinions. So better, we try not to hurt anyone’s feelings but to understand others’ perspectives. To talk about perspective, …
Introducing ptmodels: A Python Package for Easy Image Classification using Pre-trained Models
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Are you tired of spending hours training your own image classification models? Do you want a faster and easier way to classify your images with high accuracy? If so, you’re in luck! Introducing ptmodels, a Python package that provides pre-trained convolutional neural network models for image classification.
What is the purpose of my life?
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Hello, may peace be upon all of you. I am a practising Muslim. I know many of you are feeling threatened. As if I’m going to start talking about Jihad or terrorism. Don’t worry. I also don’t like those like you. And I assure you, we don’t preach these things. I just want to randomly talk about what should be the purpose of my life.
Preparing to be a better man
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First of all, this writing is for you if you are a guy. Because girls already know these things and they experience them everyday. And most of my writings are for my child who is yet not born but I guess Allah will bless me with beautiful ones.So it will come in handy for my son when he is around 25. So about 30 years from now. oohh… that’s a long time from now. …
How to solve every(most of the time) Wordle problem
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Those who already know how to play Wordle, thank you for letting me skip the tutorial part. And those who are curious new heads like me(I have started playing Wordle for only 2 days), you can follow this article to learn to play this game.
After a prolonged night, the day is coming for the Palestinians: Abul Asad
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Abul Asad, one of Bangladesh’s seasoned journalist, writer, and the editor of the daily Sangram, has conducted an unprecedented assessment regarding the Palestinian crisis.
portfolio
Artificial Intelligence (AI) Surveillance Tower (AIST)
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AI Surveillance System
An efficient transfer learning model for predicting forged (handwritten) signature
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Signature Fraud Detection
Led US$1.4 Million Surveillance and Security Establishment Project
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Surveillance and Security Project
ptmodels: An open-source Python Package
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Open-source Package
Alumni Employability
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ML Web Application
Revolutionized Network Architecture for the 10 Infantry Division
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Network Architecture Redesign
Business Alumni Employability
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ML Web Application
Ask-Uon: Chat with your University
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AI Chatbot
QS World University Ranking Application
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QS-WUR Prediction
Times Higher Education (THE) World University Ranking Application
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THE-WUR Web-application
Building a Conversational Web Application for PDF Documents using Mistral-7B-v0.1
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Chatbot Web-application
Upscaling images using EDSR and LapSRN
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AI Image Upscaling
Building a Document-Driven Chat Application with Streamlit and LlamaCPP
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Chatbot Web App
publications
An efficient transfer learning model for predicting forged (handwritten) signature
Published in 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), 2021
Signature fraud around the world is increasing at an alarming rate. Fraud in the signature may harm a person or an organization by false transactions and false document authorization, which may lead to an irreversible loss. Thus, the purpose of this research is to predict forged signature using machine learning techniques. To attain the objective, different state-of-the-art machine learning models, including Neural Network, K-Nearest Neighbors, Support Vector Machine, Decision Tree, and Random Forest Classifier, were developed to classify between fraud and real signatures. The VGG-16 pre-trained model was used to improve the Neural Networks performance. As outcome, the transfer learning based Neural Network model showed the highest accuracy-96.7%, followed by Support Vector Machine (81.7%), K-Nearest Neighbors (71.7%), Random Forest (70.0%), and Decision Tree (68.3%).
Recommended citation: M. R. Sheikh, T. H. Masud, N. I. Khan and M. N. Islam, "An Efficient Transfer Learning Model for Predicting Forged (Handwritten) Signature," 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 2021, pp. 1-4, doi: 10.1109/IC4ME253898.2021.9768440.
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Five Significant Issues of Digital Payment Systems – A Content Analysis
Published in Journal of Finance and Data Science (manuscript submitted for publication), 2024
Digital payment systems have revolutionised the financial landscape, offering unprecedented convenience and efficiency. However, relative rapid adoption has highlighted critical issues that must be addressed to ensure their sustainability and broader acceptance. This study aims to explore the problems of digital payment systems and identify significant current issues. Using four prominent electronic databases, qualifying articles published in the last eight years (from Jan 2017 – June 2024) were sourced for categorisation and analysis. A total of 111 articles on issues of digital payment systems were selected for relevant content on FinTech (financial technology) studies. The research team deeply investigated the articles using established content analysis protocols. The analysis identified five vital issues in digital payment systems: security, convenience, trust, privacy, and adoption of digital payment technology. Other key issues are also identified through the content analysis, suggesting topical research priorities for bringing attention to future research.
Blockchain technology in the banking sector: a content analysis
Published in Frontiers in Blockchain, 2025
Applications of Blockchain technology (BT) offer transformative innovations in organizations. Because of its effectiveness as an intermediary-free platform, researchers consider this technological platform to adopt disruptive developments. In banking sector, BT has been adopted massively for significant disruptions, but their landscape of studies to develop general understanding are still at its emergent stage, therefore it is imperative to define existing landscape of BT for greater benefits in the research community. This paper examines existing studies of BT adoption in banking sector, with a special focus to reveal on how BT architectures can bring disruptions. Methods The analysis has scrutizised 214 relevant articles from peer-reviewed journals across four vital databases (coverage from 2021 to 15 July 2025), through an intelligent review that represents a combined iterative approach adopting both methods of Latent Dirichlet Allocation (LDA) topic modelling and content analysis. Results From an information systems viewpoint, the study divided the findings into three phases: pre-adoption, adoption, and post-adoption, highlighting blockchain’s dimensions, applications in banking, the current banking landscape, and the challenges that inhibit widespread adoption of BT in banking systems. Discussion/Conclusion The synthesized findings indicate interesting directions for future research.
Recommended citation: Sheikh, R., Miah, S. J., Skinner, J., & Cook, P. (2025). Blockchain technology in the banking sector: A content analysis. Frontiers in Blockchain, 8, 1667848. https://doi.org/10.3389/fbloc.2025.1667848
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GenRL FinTech: Supporting the Risk Management Process through Reinforcement Intelligence
Published in Discover Artificial Intelligence, 2026
Bringing technical innovations to managing financial risks has been a significant issue for managers in FinTech (financial technologies) organizations. Although FinTech organizations always explore to find new methods of Financial Risk Management (FRM), specifically for achieving smooth governance, common issues exist with time-consuming and labor-intensive processes that require adequate computational support. Previous AI (artificial intelligence) driven approaches in FRM do not fully support critical computational provisions for regulatory compliance. To address the issues, utilizing a design science research paradigm, this paper introduces a new innovative generative AI framework called ‘GenRL’ (Generative Reinforcement Learning), as an innovative computational FRM model grounded in Reinforcement Learning (RL). The GenRL artifact is a prototype featuring multiple GenAI agents that autonomously acquire and refine domain-specific expertise in FinTech regulatory compliance. Our evaluation demonstrates that GenRL enhances the efficiency of compliance officers, particularly in terms of the accuracy of FRM decision-making.
Recommended citation: Rafsun Sheikh, Shah J Miah, Peter Cook et al. GenRL FinTech: Supporting the Risk Management Process through Reinforcement Intelligence, 15 September 2025, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-7190065/v1]
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TRIAG: Tri-Reinforced Infused Generative Agents for Financial Risk Compliance
Published in Intelligent Systems with Application, 2026
Managing financial regulatory compliance (FRC) presents significant challenges for Financial Technology (FinTech) organisations. Some challenges are due to both rapidly evolving environment and limitations of existing computational support. Although FinTech organisations continuously seek contemporary methods for Financial Risk Management, common issues persist with time-consuming and labor-intensive compliance processes. Previous Artificial Intelligence-driven approaches often lack comprehensive support for the dynamic nature of regulatory requirements. To address these gaps and leverage the increasing availability of regulatory and financial data, the study utilizes a design science research paradigm to design TRIAG (Tri-Reinforced Infused Generative Agents), an innovative computational framework grounded in Multi-Agent Reinforcement Learning (MARL). The TRIAG artifact is a prototype featuring three distinct Generative AI agents that autonomously acquire, refine, and coordinate domain-specific expertise related to FinTech regulatory compliance. The study’s evaluation, involving industry professionals in a workshop setting, demonstrates that TRIAG effectively enhances the efficiency and accuracy of compliance officers decision-making processes for FRC management tasks. This work introduces a novel MARL-guided, multi-GenAI agent system applied specifically to financial regulatory risk.
Recommended citation: Sheikh, MD Rafsun and Miah, Shah J., TRIAG: Tri-Reinforced Infused Generative Agents for Financial Risk Compliance. Available at SSRN: https://ssrn.com/abstract=5798929 or http://dx.doi.org/10.2139/ssrn.5798929
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talks
Paper Presentation on “An Efficient Transfer Learning Model for Predicting Forged (Handwritten) Signature”
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Presented my Bachelor thesis “An Efficient Transfer Learning Model for Predicting Forged (Handwritten) Signature” at “2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)” hosted by Rajshahi University, Rajshahi, Bangladesh.
teaching
Hands-on-training on Artificial Intelligence and Machine Learning
Workshop, 10 Infantry Division, Ramu Cantonment., 2024
- Conducted classes on Cybersecurity awareness to Officers, Soldiers and their families throughout October Cybersecurity Awareness Month, in 2023.
- Total number of participants were 5000+ persons.
- Outcome: Cyber attacks incidents report reduced by 67% compared to previous year.
Cybersecurity aspects in daily life
Awareness Training on Cyber threats faced by general people, 10 Infantry Division, Ramu Cantonment. , 2024
- Conducted hands-on-training on Artificial Intelligence and Machine Learning to technical military Officers.
- Total number of participants were 75 persons.
- Outcome: Trained Officers developed small machine-learning projects each at the end of the course.
BUSA3001 - Artificial Intelligence in Business
Sessional, Newcastle Business School, the University of Newcastle, 2025
- Conducted sessions for Bachelor in Business Analytics students on Artificial Intelligence (AI), Business applications of machine learning (ML) and personalisation, AI-driven business and government transformation, AI in the organisation structure and benefits and risks of using AI for decision making.
- Total number of participants were 30+ students.
- Outcome: 70% students received above Distinction.
BUSA3007 - Data Governance Using BLockchain for Business
Tutor, Newcastle Business School, the University of Newcastle, 2025
- Conducted sessions for Bachelor in Business Analytics students on
- Business data governance and Blockchain technologies for real world data solutions,
- Underlying data governance elements and technologies of transactions, blocks, proof-of-work, and consensus building
- How does Blockchain exist in the public domain (decentralised, distributed) yet maintain data transparency, privacy, anonymity, security, and immutability.
- Exploring the use of Blockchain in government and commercial sectors
- The Blockchain methods for applications other than cryptocurrency.
- Total number of participants were 27 students.
- Outcome: 75% students received above Distinction.