SHIMPG: Simple human interaction with machine using Physical Gesture. - Md. Asif-Ur-Rahman; Md. Saef Ullah Miah; M. Abrar Fahad; Debajyoti Karmaker (ICARCV, 2014)

IoT Based Healthcare Middleware. - Adib Mehedi; Abid Hassan Tokee; Surovi Islam; Md. Saef Ullah Miah (ICCA, 2020)

Location, Context and Device aware Framework (LCDF): A unified Framework for Mobile Data Management. - Md. Saef Ullah Miah; Abhijit Bhowmik; Rifat Tasnim Anannya (ICCA, 2020)

Recommending Research Articles: A Multi-Level Chronological Learning-Based Approach Using Unsupervised Keyphrase Extraction and Lexical Similarity Calculation. - Talha Bin Sarwar; Noorhuzaimi Karimah Mohd Noor; M. Saef Ullah Miah; Mamunur Rashid; Fahmid Al Farid; Mohd Nizam Husen (IEEE Access, 2021)

Study of Keyword Extraction Techniques for Electric Double-Layer Capacitor Domain Using Text Similarity Indexes: An Experimental Analysis. - M. Saef Ullah Miah; Junaida Sulaiman; Talha Bin Sarwar; Kamal Z. Zamli; Rajan Jose (Complex., 2021)

A Trend Analysis of crimes in Bangladesh. - Saima Sharleen Islam; Md. Samiul Haque; M. Saef Ullah Miah; Talha Bin Sarwar; Abhijit Bhowmik (ICCA, 2022)

An automated monitoring and environmental control system for laboratory-scale cultivation of oyster mushrooms using the Internet of Agricultural Thing (IoAT). - Md. Ariful Islam; Md. Antonin Islam; Md. Saef Ullah Miah; Abhijit Bhowmik (ICCA, 2022)

Material Named Entity Recognition (MNER) for Knowledge-Driven Materials Using Deep Learning Approach. - M. Saef Ullah Miah; Junaida Sulaiman (TCCE, 2022)

Predicting Young Imposter Syndrome Using Ensemble Learning. - Md. Nafiul Alam Khan; M. Saef Ullah Miah; Md. Shahjalal; Talha Bin Sarwar; Md. Shahariar Rokon (Complex., 2022)

Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study. - Saima Sharleen Islam; Md. Samiul Haque; M. Saef Ullah Miah; Talha Bin Sarwar; Ramdhan Nugraha (PeerJ Comput. Sci., 2022)

Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding. - Talha Bin Sarwar; Noorhuzaimi Karimah Mohd Noor; M. Saef Ullah Miah (PeerJ Comput. Sci., 2022)

Target and Precursor Named Entities Recognition from Scientific Texts of High-Temperature Steel Using Deep Neural Network. - M. Saef Ullah Miah; Junaida Sulaiman; Talha Bin Sarwar; Imam Ul Ferdous; Saima Sharleen Islam; Md. Samiul Haque (DEXA (2), 2023)

Medical Named Entity Recognition (MedNER): A Deep Learning Model for Recognizing Medical Entities (Drug, Disease) from Scientific Texts. - M. Saef Ullah Miah; Junaida Sulaiman; Talha Bin Sarwar; Saima Sharleen Islam; Mizanur Rahman; Md. Samiul Haque (EUROCON, 2023)

Understanding the Dynamics of Dengue in Bangladesh: EDA, Climate Correlation, and Predictive Modeling. - Sabrina Masum Meem; Mohammed Tahmid Hossain; Jannat Khair Chowdhury; Md. Saef Ullah Miah; Md Fahad Monir (TENCON, 2023)

Distributed Ledger Technology Based Integrated Healthcare Solution for Bangladesh. - Md. Ariful Islam; Md. Antonin Islam; Md. Amzad Hossain Jacky; Md. Al-Amin; Md. Saef Ullah Miah; Md Muhidul Islam Khan; Md. Iqbal Hossain 003 (IEEE Access, 2023)

Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13. - Md. Saef Ullah Miah; Junaida Sulaiman; Md. Imamul Islam; Md. Masuduzzaman (CoRR, 2023)

Explainable Detection and Analysis of Cauliflower Leaf Diseases. - Sharia Arfin Tanim; Rubaba Binte Rahman; Kazi Tanvir; Md. Sayem Kabir; Tasnim Sultana Sintheia; Md Saef Ullah Miah (BDA, 2024)

Advancing Mental Health Problems with Machine Learning and Genetic Algorithms for Anxiety Classification in Bangladeshi University Students. - Shahriar Siddique Ayon; Muhammad Ebrahim Hossain; Md. Saef Ullah Miah; M. Mostafizur Rahman; Mufti Mahmud (BI (1), 2024)

Uncovering Hidden Realities of Child Labor Abuse in Egyptian Workplaces with Machine Learning and Explainable AI. - Md Saef Ullah Miah; Shahriar Siddique Ayon; Muhammad Ebrahim Hossain; Nazia Farhana; Abhijit Bhowmik (ICCA, 2024)

From Theory to Reality: Tracing the Milestones of Quantum Information Systems. - Md Saef Ullah Miah; Saima Sharleen Islam; Abhijit Bhowmik (ICCA, 2024)

Analysing the Efficacy of UML in Explaining Object-Oriented Concepts to Undergraduate Computer Science Students. - Sabbir Ahmed; Manzur H. Khan; Md Saef Ullah Miah; Shakura Akter; Junaida Sulaiman (ICEED, 2024)

Explainable AI in Feature Selection: Improving Classification Performance on Imbalanced Datasets. - Shahriar Siddique Ayon; Muhammad Ebrahim Hossain; Md Saef Ullah Miah; M. Mostafizur Rahman; Mufti Mahmud (ICONIP (11), 2024)

Explainable Federated Stacking Models with Encrypted Gradients for Secure Kidney Medical Imaging Diagnosis. - Sharia Arfin Tanim; Al Rafi Aurnob; Md Rokon Islam Emon; Md Saef Ullah Miah; M. Mostafizur Rahman; Mufti Mahmud (ICONIP (1), 2024)

Priority based job scheduling technique that utilizes gaps to increase the efficiency of job distribution in cloud computing. - Saydul Akbar Murad; Zafril Rizal M. Azmi; Abu Jafar Md Muzahid; Md. Murad Hossain Sarker; M. Saef Ullah Miah; MD. Khairul Bashar Bhuiyan; Nick Rahimi; Anupam Kumar Bairagi (Sustain. Comput. Informatics Syst., 2024)

Optimized Machine Learning Models and Stacking Hybrid Approach for Chronic Kidney Disease Prediction. - Md Sharifuzzaman; Nafiz Fahad; Riadul Islam Rabbi; Ridwan Jamal Sadib; Ekramul Haque Tusher; Tze Hui Liew; Mohammad Naimul Islam; Md Saef Ullah Miah; Md. Jakir Hossen (AIAI (4), 2025)

Real-Time Detection of Forest Fires Using FireNet-CNN and Explainable AI Techniques. - Gazi Mohammad Imdadul Alam; Naima Tasnia; Tapu Biswas; Md. Jakir Hossen; Sharia Arfin Tanim; Md Saef Ullah Miah (IEEE Access, 2025)

Explainable deep learning for diabetes diagnosis with DeepNetX2. - Sharia Arfin Tanim; Al Rafi Aurnob; Tahmid Enam Shrestha; Md Rokon Islam Emon; Muhammad Firoz Mridha; Md Saef Ullah Miah (Biomed. Signal Process. Control., 2025)

REDf: a deep learning model for short-term load forecasting to facilitate renewable integration and attaining the SDGs 7, 9, and 13. - Md Saef Ullah Miah; Junaida Sulaiman; Md. Imamul Islam; Md. Masuduzzaman; Molla S. Hossain Lipu; Ramdhan Nugraha (PeerJ Comput. Sci., 2025)

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI. - Sumshun Nahar Eity; Mahin Montasir Afif; Tanisha Fairooz; Md. Mortuza Ahmmed; Md Saef Ullah Miah (CoRR, 2025)