Portfolio item number 1
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Posts by Collection
education
portfolio
Portfolio item number 2
Short description of portfolio item number 2
projects
Analyzing co-authorship network: Centrality Measure, Link Prediction, and Community Detection
This research project analyzes pre-birth factors, such as birth history, maternal history, reproduction history, socio-economic condition, etc. for the early classification of child mortality. Manuscript in Preparation.
The Influences of Pre-birth Factors in Early Assessment of Child Mortality using Machine Learning Techniques
This research project analyzes pre-birth factors, such as birth history, maternal history, reproduction history, socio-economic condition, etc. for the early classification of child mortality. Manuscript in Preparation.
Predicting GitHub Issues Lifetime using Machine Learning and Topic Modeling (LDA)
This research project analyzes the characteristics and applicability of topic modeling (LDA) in GitHub Issues and predicting lifetime based on topic modeling (LDA) with machine learning techniques Manuscript in Preparation.
Image-to-Image Translation using Conditional GAN
This research project tries to reduce search space in code smells detection using a novel metric called - NCPC, while maintaining the performance of code smells detection. Manuscript in Preparation.
LifeBlood
This research project analyzes pre-birth factors, such as birth history, maternal history, reproduction history, socio-economic condition, etc. for the early classification of child mortality. Manuscript in Preparation.
ProtectMe: An Approach to Provide Audio Privacy in Real-time
This research project ensures audio communication with privacy in real-time using a modification algorithm. Manuscript in Preparation.
Optimizing Search Space in Code Smells Detection using a Novel Metric
This research project tries to reduce search space in code smells detection using a novel metric called - NCPC, while maintaining the performance of code smells detection. Manuscript in Preparation.
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
GodExpo: an automated god structure detection tool for Golang
Published in In 2019 IEEE/ACM 3rd International Workshop on Refactoring (IWoR 2019), 2019
Abstract
Recommended citation: Yasir, R. M., Asad, M., Galib, A. H., Ganguly, K. K., & Siddik, M. S. (2019, May). GodExpo: an automated god structure detection tool for Golang. In 2019 IEEE/ACM 3rd International Workshop on Refactoring (IWoR) (pp. 47-50). IEEE.
A Review on Hybrid Analysis using Machine Learning for Android Malware
Published in Dhaka University Journal of Applied Science & Engineering (DUJASE), Volume 5 (1 & 2) (DUJASE 2020). Manuscript in press., 1900
Abstract
Recommended citation: Galib, A. H., Hossain, B. M. (2020). A Review on Hybrid Analysis using Machine Learning for Android Malware Detection. Dhaka University Journal of Applied Science Engineering (DUJASE), Volume 5(1 & 2).
A Systematic Review on Hybrid Analysis using Machine Learning for Android Malware Detection
Published in International Conference on Innovation in Engineering and Technology, 2019 (ICIET 2019), 2019
Recommended citation: Galib, A. H., Hossain, B. M. (2019, December). A Systematic Review on Hybrid Analysis using Machine Learning for Android Malware Detection. International Conference on Innovation in Engineering and Technology (ICIET) 2019.
Significant API Calls in Android Malware Detection (Using Feature Selection Techniques and Correla-tion Based Feature Elimination)
Published in In Proceedings of the 32nd International Conference on Software Engineering Knowledge Engineering, 2020 (SEKE 2020), 2020
Abstract
Recommended citation: Galib, A. H., Hossain, B. M. (2020, July). Significant API Calls in Android Malware Detection (Using Feature Selection Techniques and Correlation Based Feature Elimination). In Proceedings of the 32nd International Conference on Software Engineering Knowledge Engineering (pp.566-571).
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.