Mohammad S. Arefin

Also published under:Mohammad Shamsul Arefin, Md Shamsul Arefin

Affiliation

Department of Computer Science & Engineering, Chittagong, Bangladesh

Topic

Deep Learning,Convolutional Neural Network,Neural Network,Convolutional Neural Network Model,Data Augmentation,Confusion Matrix,Deep Learning Models,Dense Layer,F1 Score,Learning Algorithms,Support Vector Machine,Training Set,Artificial Neural Network,Model Performance,Transfer Learning,Validation Accuracy,Validation Loss,Accuracy Of Model,Blood Cells,Convolutional Layers,Convolutional Neural Network Architecture,Deep Convolutional Neural Network,Deep Neural Network,Image Classification,Image Processing,Image Processing Techniques,Inception V3,Learning Rate,Machine Learning,Machine Learning Models,Random Forest,Red Blood Cells,Test Accuracy,Acute Myeloid Leukemia,Augmentation Techniques,Batch Normalization,Blood Smears,Bone Marrow,Data Pre-processing,Decision Tree,Dropout Layer,Early Stopping,Global Average Pooling,Gradient Boosting,Image Preprocessing,Inception V3 Model,Input Image,K-nearest Neighbor,Knee Osteoarthritis,Leukocytes,

Biography

Mohammad Shamsul Arefin (Senior Member, IEEE) received the Doctor of Engineering degree in information engineering from Hiroshima University, Japan, with the support of the Scholarship of MEXT, Japan. As a part of his Ph.D. research, he was with the IBM Yamato Software Laboratory, Japan. He was the Head of the Department. He is currently with the Department of Computer Science and Engineering (CSE), Chittagong University of Engineering and Technology, Bangladesh. He visited Japan, Indonesia, Malaysia, Bhutan, Singapore, South Korea, Egypt, India, Saudi Arabia, and China for different professional and social activities at United International University. He has published several research papers in journals (Scopus) and international conferences. He has more than 110 refereed publications in international journals, book series, and conference proceedings. His research interests include privacy-preserving data publishing and mining, distributed and cloud computing, big data management, multilingual data management, semantic web, object-oriented systems development, and IT for agriculture and the environment. He is a member of ACM and a fellow of IEB and BCS. He is the Organizing Chair of BIM 2021, the TPC Chair of ECCE 2017, the Organizing Co-Chair of ECCE 2019, and the Organizing Chair of BDML 2020.