Journals:

• Abdullah Bin Shams, Ehsanul Hoque Apu ,Md. Mohsin Sarker Raihan, Ashiqur Rahman, Nazeeba Siddika, Rahat Bin Preo, Molla Rashied Hussein, Shabnam Mostari and Russell Kabir, “Web Search Engine Misinformation Notifier Extension (SEMiNExt): A Machine Learning Based Approach during COVID-19 Pandemic” MDPI, Healthcare 2021, 9, 156. https://doi.org/10.3390/healthcare9020156
• Mounita Ghosh, Md. Mohsin Sarker Raihan, M. Raihan, Laboni Akter, Anupam Kumar Bairagi, Sultan S Alshamrani and Mehedi Masud “A Comparative Analysis of Machine Learning Algorithms to Predict Liver Disease”, Intelligent Automation & Soft Computing, ISSN:2326-005X
• Ocean Monjur, Rahat Bin Preo, Abdullah Bin Shams, Md Mohsin Sarker Raihan, Fariha Fairoz “COVID-19 Prognosis and Mortality Risk Predictions from Symptoms: A Cloud-Based Smartphone Application”, BioMed, MDPI, https://doi.org/10.3390/biomed1020011
• Abdullah Bin Shams, Md. Mohsin Sarker Raihan, Md Khan, Mohi Uddin, Rahat Bin Preo, Ocean Monjur “Telehealthcare and Covid-19: A Noninvasive & Low Cost Invasive, Scalable and Multimodal Real-Time Smartphone Application for Early Diagnosis of SARS-CoV-2 Infection,” This article has been submitted for review to a prestigious journal https://arxiv.org/abs/2109.07846v1
• Mohi Uddin Khan, Abdullah Bin Shams, Md. Mohsin Sarker Raihan, “A Prospective Approach for Human-to-Human Interaction Recognition from Wi-Fi Channel Data using Attention Bidirectional Gated Recurrent Neural Network with GUI Application Implementation”. This article has been submitted for review to a prestigious journal https://arxiv.org/abs/2202.08146
• Sidratul Tanzila Tasmi, Md. Mohsin Sarker Raihan, Abdullah Bin Shams, “Obstructive Sleep Apnea (OSA) and COVID-19: Mortality Prediction of COVID-19-Infected Patients with OSA Using Machine Learning Approaches”, Journal:COVID, Publisher: Multidisciplinary Digital Publishing Institute (MDPI), https://doi.org/10.3390/covid2070064
  
  

Conferences:

• Mohsin Sarker Raihan, Muhammad Muinul Islam “Determination of the Best Resting Position Using Electrogastrography After Having a Light Meal”, IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh.
• Mohsin Sarker Raihan, Abdullah Bin Shams and Rahat Bin Preo “Multi Level Electrogastrogram (EGG) Signal Classification Using Machine Learning Algorithms ” ,23rd International Conference on Computer and Information Technology (ICCIT),2020,IEEE
• Mohsin Sarker Raihan, M. Raihan, Mounita Ghosh and Laboni Akter “A Comparative Study to Predict the Diabetes Risk Using Different Kernels of Support Vector Machine” 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST),2021, IEEE
• M Mehedi Zaman, Wasay Mahmood Qureshi, Md. Mohsin Sarker Raihan, Abdullah Bin Shams and Sharmin Sultana “Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm” ,IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE),2021,IEEE
• Mahtab Alam, Md. Mohsin Sarker Raihan, Mubtasim Rafid Chowdhury and Abdullah Bin Shams “High Precision Eye Tracking Based on Electrooculography (EOG) Signal Using Artificial Neural Network (ANN) for Smart Technology Application”, 24th International Conference on Computer and Information Technology (ICCIT), 2021,IEEE
• Quazi Adibur Rahman Adib, Sidratul Tanzila Tasmi, Md. Shahriar Islam Bhuiyan, Md. Mohsin Sarker Raihan, Abdullah Bin Shams “Prediction Model for Mortality Analysis of Pregnant Women Affected With COVID-19”, 24th International Conference on Computer and Information Technology (ICCIT), 2021,IEEE
• Mohsin Sarker Raihan, Eshtiak Ahmed, Asif Karim, Sami Azam, M. Raihan,Laboni Akter, Md. Mehedi Hassan “Chronic Renal Disease Prediction using Clinical Data and Different Machine Learning Techniques” 2nd International Informatics and Software Engineering Conference (IISEC) ,2021, IEEE
• Minhaj Uddin Ahmad, Abdur Rahman Akib, Md Mohsin Sarker Raihan, Abdullah Bin Shams, “ABO3 Perovskites’ Formability Prediction and Crystal Structure Classification using Machine Learning”, International Conference on Innovations in Science, Engineering and Technology (ICISET),2022, IEEE