IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE's fields of interest. IEEE Access will publish articles that are of high interest to readers, original, technically correct, and clearly presented. Supported by author publication charges (APC), its hallmarks are a rapid peer review and publication process with open access to all readers. Unlike IEEE's traditional Transactions or Journals, reviews are "binary", in that reviewers will either Accept or Reject an article in the form it is submitted in order to achieve rapid turnaround. Especially encouraged are submissions on: Multidisciplinary topics, or applications-oriented articles and negative results that do not fit within the scope of IEEE's traditional journals. Practical articles discussing new experiments or measurement techniques, interesting solutions to engineering. Development of new or improved fabrication or manufacturing techniques. Reviews or survey articles of new or evolving fields oriented to assist others in understanding the new area.
Connection Science (Publisher Taylor and Francis AS)
An interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing.
MIDAS-2021 aims to promote and provide a platform for researchers, academia and practitioners to meet and exchange ideas on recent theoretical and applied Machine and Artificial Intelligence and Data Sciences research.
Department of Computer Science and Engineering, Comilla University, Cumilla, Bangladesh is going to organize "International Conference on Machine Intelligence and Data Science Applications (MIDAS) 2021" on December 26-27, 2021. MIDAS-2021 aims to provide a forum for researchers from both academia and industry to share their latest research contributions in the area of AI and Data Sciences and thus to exchange knowledge with the common goal of shaping the future.
Research Fellow, 2021
Awarded by Ministry of Information Communication Technology (MOICT) for my M.Sc. thesis
Research Assistant (2020- Present)
Using Deep Learning models for text analysis and categorization
Publication: 2 Conference proceedings
Research Assistant (2020- Present)
Using Deep Learning models for different computer vision based tasks like image recognition, classification and recognition.
M.Sc. Thesis
Trained deep learning models to build an automated system for the diagnosis of different skin diseases
B.Sc. Project
Collect Phishing URLs from different data sources to build a large a large dataset and apply deep learning algorithms to build a model for detecting phishing websites