Computer Science and Engineering

Mr. Md. Masudur Rahman

Designation: Assistant Professor

Email: masudur.rahman0413.cse@aust.edu

Office Extension:

Room No: 7A01/M

Research Interests

• Information Retrieval
• Software Evolution
• Software Reengineering
• Software Maintenance
• Code Smells and Refactorings

Educational Background

• Master of Science (MSc), (Software Engineering), Institute of Information Technology, University of Dhaka
• Bachelor of Science (BSc), (Software Engineering), Institute of Information Technology, University of Dhaka

Honors and Achievements

• ICT Research Fellowship for PhD Program, Information and Communication Technology (ICT) Division, Ministry of Posts, Telecommunications and Information Technology, Dhaka, Bangladesh, 2022
• Best Poster Award 2017, Imaging, Vision & Pattern Recognition (icIVPR), 2017 IEEE International Conference on, 2017
• ICT Research Fellowship for Masters Program, Information and Communication Technology (ICT) Division, Ministry of Posts, Telecommunications and Information Technology, Dhaka, Bangladesh, 2016

Publications

1. Traffic Sign Detection and Recognition Model Using Support Vector Machine and Histogram of Oriented Gradient, International Journal of Information Technology and Computer Science (IJITCS), 2021, MECS Press. URL
2. An Empirical Study on Stack Overflow Security Vulnerability in Well-known Open Source Software Systems, International Journal of Computer Applications (IJCA), 2020, Foundation of Computer Science (FCS), NY, USA. URL
3. MMRUC3: A recommendation approach of move method refactoring using coupling, cohesion, and contextual similarity to enhance software design, Software: Practice and Experience (Wiley), 2018, Wiley Online Library. URL
4. Recommendation of Move Method Refactoring to Optimize Modularization Using Conceptual Similarity, International Journal of Information Technology and Computer Science (IJITCS), 2017, MECS Press. URL

1. Does Code Smell Frequency Have a Relationship with Fault-proneness?, International Conference on Evaluation and Assessment in Software Engineering (EASE), 2023, ACM/IEEE. URL
2. An Empirical Study on the Occurrences of Code Smells in Open Source and Industrial Projects, International Symposium on Empirical Software Engineering and Measurement (ESEM), 2022, ACM/IEEE. URL
3. A Context Based Approach for Recommending Move Class Refactoring, 27th Asia-Pacific Software Engineering Conference (APSEC), 2020, IEEE. URL
4. Recommendation of move method refactorings using coupling, cohesion and contextual similarity, Imaging, Vision & Pattern Recognition (icIVPR), 2017 IEEE International Conference on, 2017, IEEE. URL
5. Characterization and localization of performance-bugs using Naive Bayes approach, International Conference on Informatics, Electronics and Vision (ICIEV), 2016, IEEE.