Md. Alamin Talukder (0000-0002-3192-1000)

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Md. Alamin Talukder is an Assistant Professor in the Department of Computer Science and Engineering at the International University of Business Agriculture and Technology in Dhaka, Bangladesh. He previously served as a Research & Teaching Assistant in the Department of CSE at Jagannath University, Bangladesh, and as a Research Assistant at the School of Information Technology at Deakin University, Australia. He completed his B.Sc. and M.Sc. in Computer Science and Engineering from Jagannath University, Dhaka.

His research focuses on machine learning, deep learning, and AI-driven decision-making systems, with applications in cybersecurity, digital health, and big data analysis. He has received several prestigious research fellowships and grants, including the ICT Research Fellowship from the ICT Division of Bangladesh, the NST Research Fellowship from the MOST of Bangladesh, and a Reviewer Grant from Qatar University. Additionally, he was awarded the Merit Scholarship for Outstanding Results and the Special Research Award for Publishing High-Impact Research Papers from Jagannath University and received the Miyan Publications Reward from IUBAT as well as got the Special Research Grant from MOST of Bangladesh. Furthermore, he has been awarded the prestigious Dr. KW Wong Best Paper Award 2024 presented in the Journal of Information Security and Applications (JISA), Elsevier for his outstanding research.

Talukder has collaborated with researchers worldwide and has been recognized for his contributions toward achieving the United Nations Sustainable Development Goals. His research aims to develop interpretable and clinically relevant AI models to enhance productivity and efficiency across various fields. He has published over 35 research papers, including more than 14 as the first author and over 1 as the sole author, with over 1420 citations.

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International University of Business Agriculture and Technology: Dhaka, BD

2024-10 to present | Assistant Professor (Department of Computer Science and Engineering)

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Md. Alamin Talukder

https://orcid.org/0000-0002-3192-1000

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Biography

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Employment (6)

International University of Business Agriculture and Technology: Dhaka, BD

Jagannath University: Dhaka, BD

ICT Division: Dhaka, BD

Deakin University: Geelong, Victoria, AU

Jagannath University: Dhaka, BD

International University of Business Agriculture and Technology: Dhaka, Dhaka, BD

Education and qualifications (2)

Jagannath University: Dhaka, Dhaka, BD

Jagannath University: Dhaka, Dhaka, BD

Funding (4)

Research Assistant

ICT FLLOWSHIP

NST FELLOWSHIP

Research Assistant

Works (42)

Abnormal Driving Behavior Detection: A Machine and Deep Learning Based Hybrid Model

A hybrid multiscale feature fusion model for enhanced cardiovascular arrhythmia detection

HXAI-ML: A hybrid explainable artificial intelligence based machine learning model for cardiovascular heart disease detection

A dual-tier adaptive one-class classification IDS for emerging cyberthreats

ACU-Net: Attention-based convolutional U-Net model for segmenting brain tumors in fMRI images

A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats

A stacked ensemble approach to detect cyber attacks based on feature selection techniques

Advancements in Cardiovascular Disease Detection: Leveraging Data Mining and Machine Learning

Data-driven strategies for digital native market segmentation using clustering

Deep learning-based human activity recognition using CNN, ConvLSTM, and LRCN

Hierarchical Classification for Intrusion Detection System: Effective Design and Empirical Analysis

Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer&apos;s Disease Diagnosis from MRI Scans

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

usfAD Based Effective Unknown Attack Detection Focused IDS Framework

Securing transactions: a hybrid dependable ensemble machine learning model using IHT-LR and grid search

Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications

Exploring gene regulatory interaction networks and predicting therapeutic molecules for hypopharyngeal cancer and EGFR‐mutated lung adenocarcinoma

Towards Reliable Diabetes Prediction: Innovations in Data Engineering and Machine Learning Applications

MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

Brain tumor classification using fine-tuned transfer learning models on magnetic resonance imaging (MRI) images

BrainNet: Precision Brain Tumor Classification with Optimized EfficientNet Architecture

Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture

Parkinson's disease detection from EEG signal employing autoencoder and RBFNN-based hybrid deep learning framework utilizing power spectral density

A Dependable Hybrid Machine Learning Model for Network Intrusion Detection

A Hybrid Dependable Deep Feature Extraction and Ensemble-Based Machine Learning Approach for Breast Cancer Detection

A robust and clinically applicable deep learning model for early detection of Alzheimer's

An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning

Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data

Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture

Smart Contract-Based Access Control Framework for Internet of Things Devices

DeepCrop: Deep learning-based crop disease prediction with web application

A deep learning model for cotton disease prediction using fine-tuning with smart web application in agriculture

Tomato Leaf Disease Detection Using Convolutional Neural Network

A robust hybrid machine learning model for Bengali cyber bullying detection in social media

An ensemble machine learning based bank loan approval predictions system with a smart application

Machine Learning Based Diabetes Detection Model for False Negative Reduction

An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning

Machine Learning-based Lung and Colon Cancer Detection using Deep Feature Extraction and Ensemble Learning

A Dependable Hybrid Machine Learning Model for Network Intrusion Detection

Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

Machine learning based diabetes prediction and development of smart web application

Peer review (16 reviews for 9 publications/grants)

Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans