Niful Islam

I am A Machine Learning Researcher Former Software Engineer

Graduate Research Assistant

Organization: Oakland University
Lab: Laboratory for Software Innovation
Duration: January 2025 - Present

    Tasks:
  • Conducting research experiments
  • Writing research papers


Junior Software Engineer

Organization: Nascenia
Duration: October 2023 - December 2024

    Tasks:
  • R&D on open-source LLMs
  • Service integration with chatbot
  • Data scraping
  • Create and manage databases
  • Deployment of conversational agents
  • Integration with Facebook Messenger

Undergraduate Assistant

Organization: United International University
Duration: February 2023- December 2023

    Tasks:
  • Taking counseling sessions
  • Demonstrating and debugging code
  • Assistance in grading

Education

Master of Science in Computer Science

Oakland University

Duration: January 2024 - present

University Photo
University Photo

Bachelor of Computer Science and Engineering

United International University

Duration: January 2020 - January 2024

CGPA: 3.63/4 (86%)

Merit-based scholarship: 100% - 4 times, 50% - 2 times, 25% - 1 time

Achievements

Grant number RSPD2024R1027

Research Article: Fusing Global Context with Multiscale Context for Enhanced Breast Cancer Classification [under review]

Grant number IAR-2023-Pub-050

Research Article: Toward Lightweight Diabetic Retinopathy Classification: A Knowledge Distillation Approach for Resource-Constrained Settings

Best Paper Award
UIU Deep Learning Contest
UIU Deep Learning Contest

Research

post-img

Fusing global context with multiscale context for enhanced breast cancer classification

  • Niful Islam,
  • Khan Md Hasib,
  • Sultan Alfarhood,
  • Mejdl Safran,
  • M. K. Bhuyan
post-img

Toward Lightweight Diabetic Retinopathy Classification: A Knowledge Distillation Approach for Resource-Constrained Settings

  • Niful Islam,
  • Md. Mehedi Hasan Jony,
  • Emam Hasan,
  • Sunny Sutradhar,
  • Md. Mehedi Hasan Jony,
  • Atikur Rahman
post-img

KNNTree: A New Method to Ameliorate K-Nearest Neighbour Classification using Decision Tree

  • Niful Islam,
  • Most Fatema-Tuj-Jahra,
  • Md Tarek Hasan,
  • Dewan Md Farid
post-img

EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification

  • Niful Islam,
  • Md. Mehedi Hasan Jony,
  • Emam Hasan,
  • Sunny Sutradhar,
  • Md. Mehedi Hasan Jony,
  • Atikur Rahman
post-img

Determining the Optimal Number of GAT and GCN Layers for Node Classification in Graph Neural Networks

  • Humaira Noor,
  • Niful Islam,
  • Md Saddam Hossain Mukta,
  • Nur Shazwani Binti Kamarudin,
  • Mohaimenul Azam Khan Raiaan,
  • Sami Azam
post-img

Cotton Percentage Prediction from Fabric Images Using Transfer Learning

  • Niful Islam,
  • Debopom Sutradhar,
  • Swakkhar Shatabda,
  • Chowdhury Mofizur Rahman,
post-img

Enhancing Garbage Classification with Swin Transformer and Attention-Based Autoencoder: An Efficient Approach for Waste Management

  • Niful Islam,
  • Humaira Noor,
  • Md.Rayhan Ahmed
post-img

A Novel Ensemble K-Nearest Neighbours Classifier with Attribute Bagging

  • Niful Islam,
  • Humaira Noor,
  • Dewan Md Farid
post-img

Feature Fusion with Attention Mechanism for Skin Cancer Classification

  • Niful Islam,
  • Jarin Tasnim Raya,
  • Monowara Tabassum Maisha,
  • Dewan Md Farid
post-img

Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning

  • Niful Islam,
  • Debopom Sutradhar,
  • Humaira Noor,
  • Jarin Tasnim Raya,
  • Monowara Tabassum Maisha,
  • Dewan Md Farid
post-img

DTization: A New Method for Supervised Feature Scaling

  • Niful Islam

Connect with Me