Understanding the Patterns of Crime Reports in a Popular Bangladeshi Newspaper. - Md. Mehedi Hassan; Ashik Adnan; Asif M. Saleheen; Md. Naimul Hoque (CSCW Companion, 2018)

A Machine Learning Approach to Identify the Correlation and Association among the Students' Educational Behavior. - M. Raihan; Md Tanvir Islam; Promila Ghosh; Jarif Huda Angon; Md. Mehedi Hassan; Fahmida Farzana (ICCA, 2020)

A Machine Learning Approach to Identify the Correlation and Association among the Students' Drug Addict Behavior. - Md. Mehedi Hassan; Zahrul Jannat Peya; Sadika Zaman; Jarif Huda Angon; Afrin Islam Keya; Asaf Ud Dulla (ICCCNT, 2020)

Prediction of Recurrence and Non-recurrence Events of Breast Cancer using Bagging Algorithm. - Sajib Kabiraj; Laboni Akter; M. Raihan; Nusrat Jahan Diba; Etu Podder; Md. Mehedi Hassan (ICCCNT, 2020)

Human Behavior Analysis using Association Rule Mining Techniques. - M. Raihan; Md Tanvir Islam; Promila Ghosh; Md. Mehedi Hassan; Jarif Huda Angon; Sajib Kabiraj (ICCCNT, 2020)

A Data Mining Approach to Identify Human Behavior on Different Activities of Student. - Md. Al-Mamun Billah; Md. Mehedi Hassan; M. Raihan; Swarnali Mollick; Md. Mehadi Hasan Shakil; Jarif Huda Angon (ICCCNT, 2021)

Early Predictive Analytics in Healthcare for Diabetes Prediction Using Machine Learning Approach. - Md. Mehedi Hassan; Md. Al-Mamun Billah; Md. Mushfiqur Rahman; Sadika Zaman; Md. Mehadi Hasan Shakil; Jarif Huda Angon (ICCCNT, 2021)

Diabetes Prediction in Healthcare at Early Stage Using Machine Learning Approach. - Md. Mehedi Hassan; Zahrul Jannat Peya; Swarnali Mollick; Md. Al-Mamun Billah; Md. Mehadi Hasan Shakil; Asaf Ud Dulla (ICCCNT, 2021)

Fake News Detection of COVID-19 Using Machine Learning Techniques. - Promila Ghosh; M. Raihan; Md. Mehedi Hassan; Laboni Akter; Sadika Zaman; Md. Abdul Awal (ICO, 2021)

A Comparative Study of Different Machine Learning Tools in Detecting Diabetes. - Pronab Ghosh; Sami Azam; Asif Karim; Md. Mehedi Hassan; Kuber Roy; Mirjam Jonkman (KES, 2021)

Efficient Prediction of Water Quality Index (WQI) Using Machine Learning Algorithms. - Md. Mehedi Hassan; Md. Mahedi Hassan; Laboni Akter; Md. Mushfiqur Rahman; Sadika Zaman; Khan Md. Hasib; Nusrat Jahan; Raisun Nasa Smrity; Jerin Farhana; M. Raihan; Swarnali Mollick (Hum. Centric Intell. Syst., 2021)

Intelligent Identification of Hate Speeches to address the increased rate of Individual Mental Degeneration. - Lamima Tabassum Ava; Asif Karim; Md. Mehedi Hassan; Fahad Faisal; Sami Azam; A. S. M. Farhan Al Haque; Sadika Zaman (CENTERIS/ProjMAN/HCist, 2022)

An Apriori Algorithm-Based Association Rule Analysis to detect Human Suicidal Behaviour. - Md. Mehedi Hassan; Asif Karim; Swarnali Mollick; Sami Azam; Eva Ignatious; A. S. M. Farhan Al Haque (CENTERIS/ProjMAN/HCist, 2022)

A Hybrid Machine Learning Approach to Predict the Risk of Having Stroke. - Md. Mehedi Hassan; M. Raihan; Md. Hasanul Banna Khan; Tutul Dhali; Md. Mushfiqur Rahman; Zarmina Huda Sneha (ICCA, 2022)

Human Activity Recognition using Time Series and Machine Learning Techniques. - Apu Sarder; M. Raihan; Md. Mehedi Hassan; Nasif Alvi; Md Mehedi Hasan Rabbi; M. D. Hasan Mirja (ICCA, 2022)

State-of-the-Art Review on Recent Advancements on Lateral Control of Autonomous Vehicles. - Archishman Biswas; M. A. Obayed Reon; Prangon Das; Zinat Tasneem; S. M. Muyeen; Sajal K. Das 002; Faisal R. Badal; Subrata K. Sarkar; Md. Mehedi Hassan; Sarafat Hussain Abhi; Md. Robiul Islam 002; Md. Firoj Ali; et al. (IEEE Access, 2022)

A Forecasting Prognosis of the Monkeypox Outbreak Based on a Comprehensive Statistical and Regression Analysis. - Farhana Yasmin; Md. Mehedi Hassan; Sadika Zaman; Si Thu Aung; Asif Karim; Sami Azam (Comput., 2022)

Monkeypox Diagnosis With Interpretable Deep Learning. - Md. Manjurul Ahsan; Md Shahin Ali; Md. Mehedi Hassan; Tareque Abu Abdullah; Kishor Datta Gupta; Ulas Bagci; Chetna Kaushal; Naglaa F. Soliman (IEEE Access, 2023)

MTD-DHJS: Makespan-Optimized Task Scheduling Algorithm for Cloud Computing With Dynamic Computational Time Prediction. - Pallab Banerjee; Sharmistha Roy; Anurag Sinha; Md. Mehedi Hassan; Shrikant Burje; Anupam Agrawal; Anupam Kumar Bairagi; Samah Alshathri; Walid El-Shafai (IEEE Access, 2023)

Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness. - Md. Mehedi Hassan; Mohammad Abu Tareq Rony; Md. Asif Rakib Khan; Md. Mahedi Hassan; Farhana Yasmin; Anindya Nag; Tazria Helal Zarin; Anupam Kumar Bairagi; Samah Alshathri; Walid El-Shafai (IEEE Access, 2023)

Cloud Based Multi-Robot Task Scheduling Using PMW Algorithm. - Kaushlendra Sharma; Md. Mehedi Hassan; Saroj Kumar Pandey; Mimansha Saini; Rajesh Doriya; Manoj Kumar Ojha; Anurag Sinha; Chetna Kaushal; Anupam Kumar Bairagi; Naglaa F. Soliman (IEEE Access, 2023)

GastroNet: Gastrointestinal Polyp and Abnormal Feature Detection and Classification With Deep Learning Approach. - Farhana Yasmin; Md. Mehedi Hassan; Mahade Hasan; Sadika Zaman; Anupam Kumar Bairagi; Walid El-Shafai; Hassan Fouad; Yang Chang Chun (IEEE Access, 2023)

PoxNet22: A Fine-Tuned Model for the Classification of Monkeypox Disease Using Transfer Learning. - Farhana Yasmin; Md. Mehedi Hassan; Mahade Hasan; Sadika Zaman; Chetna Kaushal; Walid El Shafai; Naglaa F. Soliman (IEEE Access, 2023)

A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records. - Md. Mehedi Hassan; Md. Mahedi Hassan; Swarnali Mollick; Md. Asif Rakib Khan; Farhana Yasmin; Anupam Kumar Bairagi; M. Raihan; Shibbir Ahmed Arif; Amrina Rahman (Hum. Centric Intell. Syst., 2023)

An efficient Apriori algorithm for frequent pattern in human intoxication data. - Md. Mehedi Hassan; Sadika Zaman; Swarnali Mollick; Md. Mahedi Hassan; M. Raihan; Chetna Kaushal; Rajat Bhardwaj (Innov. Syst. Softw. Eng., 2023)

AQIPred: A Hybrid Model for High Precision Time Specific Forecasting of Air Quality Index with Cluster Analysis. - Farhana Yasmin; Md. Mehedi Hassan; Mahade Hasan; Sadika Zaman; Jarif Huda Angon; Anupam Kumar Bairagi; Changchun Yang (Hum. Centric Intell. Syst., 2023)

Artificial Intelligence in Cyber Security: Generalized Model Approach to Accurate Fraud Detection in Credit Card. - Md Ezazul Haque; Md Tarake Siddique; Safayet Hossain; Md. Mehedi Hassan; Md. Sumon Reza (ICCA, 2024)

A Review of Machine Learning Methods for IoT Network-Centric Anomaly Detection. - Anindya Nag; Md. Mehedi Hassan; Dishari Mandal; Nisarga Chand; Md. Babul Islam; Veerpratap Meena; Francesco Benedetto (TSP, 2024)

RoBERTa-GCN: A Novel Approach for Combating Fake News in Bangla Using Advanced Language Processing and Graph Convolutional Networks. - Mejbah Ahammad; Al Sani; Khalilur Rahman; Md Tanvir Islam; Md Mostafizur Rahman Masud; Md. Mehedi Hassan; Mohammad Abu Tareq Rony; Shah Md Nazmul Alam; Md. Saddam Hossain Mukta (IEEE Access, 2024)

Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images. - Md. Zahid Hasan; Sidratul Montaha; Inam Ullah Khan; Md. Mehedi Hassan; Abdullah Al Mahmud 002; A. K. M. Rakibul Haque Rafid; Sami Azam; Asif Karim; Spyridon Prountzos; Efthymia Alexopoulou; Umama Binta Ashraf; Sheikh Mohammed Shariful Islam (IEEE Access, 2024)

TumorGANet: A Transfer Learning and Generative Adversarial Network- Based Data Augmentation Model for Brain Tumor Classification. - Anindya Nag; Hirak Mondal; Md. Mehedi Hassan; Taher Al-Shehari; Mohammed Kadrie; Muna Al-Razgan; Taha Alfakih; Sujit Biswas; Anupam Kumar Bairagi (IEEE Access, 2024)

Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism. - Avi Deb Raha; Mrityunjoy Gain; Rameswar Debnath; Apurba Adhikary; Yu Qiao 004; Md. Mehedi Hassan; Anupam Kumar Bairagi; Sheikh Mohammed Shariful Islam (IEEE Access, 2024)

Corrections to "Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism". - Avi Deb Raha; Mrityunjoy Gain; Rameswar Debnath; Apurba Adhikary; Yu Qiao 004; Md. Mehedi Hassan; Anupam Kumar Bairagi; Sheikh Mohammed Shariful Islam (IEEE Access, 2024)

Artificial Intelligence-Driven Advancements in Otitis Media Diagnosis: A Systematic Review. - Md. Awlad Hossen Rony; Kaniz Fatema; Mohaimenul Azam Khan Raiaan; Md. Mehedi Hassan; Sami Azam; Asif Karim; Mirjam Jonkman; Jemima Beissbarth; Friso De Boer; Sheikh Mohammed Shariful Islam; Amanda Leach (IEEE Access, 2024)

Securing X-Ray Images Into Cover Images Using Hybrid EBS Steganography With Five-Layer Cryptography. - Divya Sharma; Chander Prabha; Md. Mehedi Hassan; Shahab A. Abdulla; Anupam Kumar Bairagi; Samah Alshathri; Walid El-Shafai (IEEE Access, 2024)

Efficient prediction of coronary artery disease using machine learning algorithms with feature selection techniques. - Md. Mehedi Hassan; Sadika Zaman; Md. Mushfiqur Rahman; Anupam Kumar Bairagi; Walid El-Shafai; Rajkumar Singh Rathore; Deepak Gupta 002 (Comput. Electr. Eng., 2024)

Risk Factors Categorizations of Ischemic Heart Disease in South-Western Bangladesh. - M. Raihan; Sami Azam; Laboni Akter; Md. Mehedi Hassan; Ryana Quadir; Asif Karim; Saikat Mondal; Arun More (Data Intell., 2024)

A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019-2023. - Shalini Kumari; Chander Prabha; Asif Karim; Md. Mehedi Hassan; Sami Azam (IET Inf. Secur., 2024)

Optimising multi-user wireless networks through discrete Fourier transform-based channel estimation with cascaded intelligent reflecting surfaces. - Sakhshra Monga; Nitin Saluja; Chander Prabha; Roopali Garg; Anupam Kumar Bairagi; Md. Mehedi Hassan (IET Wirel. Sens. Syst., 2024)

Synergy of 6G technology and IoT networks for transformative applications. - Moupriya Das; Anindya Nag; Md. Mehedi Hassan; Arkya Santra; Nisarga Chand; Farhana Yasmin; Anurag Sinha; Anupam Kumar Bairagi; Ahmed Alkhayyat 001 (Int. J. Commun. Syst., 2024)

Gaussian mixture model in clustering acoustic emission signals for characterizing osteoarthritic knees. - Tawhidul Islam Khan; Nazmush Sakib; Md. Mehedi Hassan; Shuya Ide (Biomed. Signal Process. Control., 2024)

Exploring the applications and security threats of Internet of Thing in the cloud computing paradigm: A comprehensive study on the cloud of things. - Anindya Nag; Md. Mehedi Hassan; Ayontika Das; Anurag Sinha; Nisarga Chand; Anwesha Kar; Vandana Sharma; Ahmed Alkhayyat 001 (Trans. Emerg. Telecommun. Technol., 2024)

Improving Medical X-Ray Imaging Diagnosis With Attention Mechanisms and Robust Transfer Learning Techniques. - Isha Das; Md. Alif Sheakh; Shahab A. Abdulla; Mst. Sazia Tahosin; Md. Mehedi Hassan; Sadika Zaman; Abhay Shukla (IEEE Access, 2025)

Advancing Federated Learning: A Systematic Literature Review of Methods, Challenges, and Applications. - Tamanna Zubairi Sana; Shahab A. Abdulla; Anindya Nag; Ayontika Das; Md. Mehedi Hassan; Zoya Zubairi Fiza; Asif Karim; Sheikh Ridwan Raihan Kabir (IEEE Access, 2025)

Smart offloading for IoT application: Building a fog-cloud based context aware offloading framework and exploring potential for integration with blockchain. - Karan Bajaj; Shaily Jain; Raman Singh; Chander Prabha; Md. Mehedi Hassan; Anupam Kumar Bairagi; Sheikh Mohammed Shariful Islam (Comput. Electr. Eng., 2025)

Explainable artificial intelligence for natural language processing: A survey. - Md. Mehedi Hassan; Anindya Nag; Riya Biswas; Md Shahin Ali; Sadika Zaman; Anupam Kumar Bairagi; Chetna Kaushal (Data Knowl. Eng., 2025)

Resource constraint crop damage classification using depth channel shuffling. - Md Tanvir Islam; Safkat Shahrier Swapnil; Md. Masum Billal; Asif Karim; Niusha Shafiabady; Md. Mehedi Hassan (Eng. Appl. Artif. Intell., 2025)

Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques. - Mahade Hasan; Farhana Yasmin; Md. Mehedi Hassan; Xue Yu; Soniya Yeasmin; Herat Joshi; Sheikh Mohammed Shariful Islam (CoRR, 2025)