Md. Alamin Talukder

Assistant Professor | World’s Top 2% Scientist (Stanford & Elsevier, 2025)
Department of Computer Science and Engineering
International University of Business Agriculture and Technology (IUBAT), Dhaka, Bangladesh

Biography

Md. Alamin Talukder is an Assistant Professor in the Department of Computer Science and Engineering at IUBAT, Dhaka. He has been recognized as one of the World’s Top 2% Scientists (2025) by Stanford University and Elsevier, reflecting the global impact and quality of his research contributions.

His research focuses on developing dependable and explainable artificial intelligence (XAI) frameworks for critical healthcare and security applications. He has published over 50 peer-reviewed research articles, receiving more than 2,500 citations, highlighting the relevance and influence of his work in the AI and machine learning research community.

Dr. Talukder’s work emphasizes advanced machine learning and deep learning techniques, particularly ensemble learning, data balancing, and feature engineering, to solve complex real-world problems in medical diagnosis, cybersecurity, and bioinformatics.

Research Interests

  • Explainable Artificial Intelligence (XAI)

  • Medical Image Analysis (Cancer, Brain Tumor, Alzheimer’s Disease)

  • Deep Learning & Ensemble Learning Models

  • Network Intrusion Detection & Cybersecurity

  • Data Balancing & Feature Engineering

  • Drug–Target Interaction Prediction

Education

M.Sc. in Computer Science and Engineering
Jagannath University, Dhaka, Bangladesh — 2022
Thesis: Brain Tumor Classification using Reconstruction and Fine-Tuning: An Ensemble Deep Learning-based Approach

B.Sc. in Computer Science and Engineering
Jagannath University, Dhaka, Bangladesh — 2020
Project: Machine Learning-based Lung and Colon Cancer Detection using Deep Feature Extraction and Ensemble Learning

Academic & Research Experience

Assistant Professor
International University of Business Agriculture and Technology (IUBAT), Dhaka, Bangladesh
📅 Jan 2024 – Present

  • Teaching C, C++, System Analysis and Design

  • Computer Hardware and Maintenance

Senior Lecturer
IUBAT, Dhaka, Bangladesh
📅 Jan 2024 – Present

  • Teaching Data Structures, Database Systems

  • Logic Design and Computer Hardware

Teaching Assistant
Jagannath University, Dhaka, Bangladesh
📅 Sep 2023 – Feb 2024

  • Fundamentals of Computer Science & IT

  • Basic Electronics and Circuit Analysis

Research Assistant (Remote)
Deakin University, Melbourne, Australia
📅 Jan 2023 – Jun 2025

  • Designing and developing customized ML models

Research Assistant
ITRRC Research Lab, Jagannath University, Dhaka, Bangladesh
📅 Jul 2023 – Present

  • Developing deep learning models for applied research

Research Associate & Student Advisor
Emerging Technology Research Lab, Jagannath University
📅 Jan 2022 – Jan 2025

  • ML/DL model development

  • Mentoring students on emerging research topics

Research Assistant
Emerging Technology Research Lab, Jagannath University
📅 Jan 2021 – Jan 2022

  • Research evaluation and process innovation

Selected Publications

  • Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning
    Expert Systems with Applications, Elsevier

  • A deep ensemble learning framework for brain tumor classification using data balancing and fine-tuning
    Scientific Reports, Nature

  • An Improved XAI-Based DenseNet Model for Breast Cancer Detection Using Reconstruction and Fine-Tuning
    Results in Engineering, Elsevier

  • XAI-HD: An Explainable Artificial Intelligence Framework for Heart Disease Detection
    Artificial Intelligence Review, Springer Nature

  • Predicting Drug-Target Interactions Using Machine Learning with Improved Data Balancing and Feature Engineering
    Scientific Reports, Nature

  • A dependable hybrid machine learning model for network intrusion detection
    Journal of Information Security and Applications, Elsevier

  • A hybrid ML model for intrusion detection in wireless sensor networks
    Scientific Reports, Nature

Research Projects

  • Intrusion Detection System in Wireless Sensor Networks using Federated Learning

  • Brain Tumor Classification using Deep Learning

  • COVID-19 Prediction

  • Breast Cancer Detection

  • Heart Attack Prediction

  • Diabetes Prediction

  • Plant Leaf Disease Prediction

  • Cyberbullying Detection

Contact & Profiles

📧 Email: alamin.cse@lubat.edu

🔗 Research Profiles:

  • Google Scholar

  • Scopus

  • ORCID: 0000-0002-3192-1000