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Dr. Md Shamsur Rahim

Dr. Md Shamsur Rahim
Unit Coordinator and Lecturer

Shamsur is a highly motivated Lecturer with over 5 years’ experience working in higher education providers. He completed his MSc and BSc with the highest academic distinctions, which provided him with the necessary skills and expertise in IT. His teaching philosophy is student-centric which allows him to create a friendly environment where students participate spontaneously. He is a member of different professional bodies such as IEEE, Association for Computing Machinery, and Australian Water Association.


Biography

Shamsur is a passionate lecturer with over 5 years of experience working as Lecturer at tertiary level. He completed his PhD in Analytics from University of Technology Sydney. Before that, he completed his MSc in Computer Science (Major: Intelligent Systems) and BSc in Computer Science & Software Engineering from American International University-Bangladesh. He was awarded highest academic award (Summa Cum Laude) in both MSc and BSc because of his outstanding academic achievements. Over the years, Shamsur has taught core units in computer science, information technology and information system. His current research focus includes data science, water conservation, recommender system.


Teaching Philosophy

Shamsur believes that education is the key to change a life and he wants to change people’s life in a positive way through education. This is why he has started teaching. His teaching philosophy is student-centric which allows him to create a friendly environment where students participate spontaneously. His goal is to equip his students with the required knowledge and skills so that they can become successful in their professions.


Academic Qualifications
  • PhD in Analytics, University of Technology Sydney
  • MSc in Computer Science, American International University-Bangladesh
  • BSc in Computer Science & Software Engineering, American International University-Bangladesh

Teaching Areas
  • Data Mining
  • Data Science
  • Programming
  • Database
  • Data Structure & Algorithms
  • Software Engineering

Scholarship and Research Areas
  • Research areas: data science, water conservation, recommender system

Publications

Books/Monographs

APA 7th Edition Referencing.
Rahim, M. S., & Chowdhury, E. (2015). Analyzing Online Voting Systems for Flaw Detection. GRIN Verlag.

Book Chapters

Hasan, A. M., Rahim, M. S., Ahmed, S., & Levula, A. (2021). Usage of Blockchain for Edge Computing. In Secure Edge Computing (pp. 261-277). CRC Press.

Peer Reviewed Journal Papers

Rahim, M. S., Nguyen, K. A., Stewart, R. A., Ahmed, T., Giurco, D., & Blumenstein, M. (2021). A clustering solution for analyzing residential water consumption patterns. Knowledge-Based Systems, 233, 107522.

Rahim, M. S., Nguyen, K. A., Stewart, R. A., Giurco, D., & Blumenstein, M. (2021). Advanced household profiling using digital water meters. Journal of Environmental Management, 288, 112377.

Imran, A. A., Rahim, M. S., & Ahmed, T. (2021). Mining the productivity data of the garment industry. International Journal of Business Intelligence and Data Mining, 19(3), 319-342.

Rahim, M. S., Nguyen, K. A., Stewart, R. A., Giurco, D., & Blumenstein, M. (2020). Machine learning and data analytic techniques in digital water metering: a review. Water, 12(1), 294.

Nguyen, K., Stewart, R., Zhang, H., Giurco, D., Blumenstein, M., & Rahim, S. (2020). Next Generation Machine Learning for Urban Water Management. Water e-Journal.

Rafsunjani, S., Safa, R. S., Al Imran, A., Rahim, M. S., & Nandi, D. (2019). An empirical comparison of missing value imputation techniques on APS failure prediction. IJ Inf. Technol. Comput. Sci, 2, 21-29.

Bhuiyan, S. A. R., Rahim, M. S., Chowdhury, A. E., & Hasan, M. H. (2018). A survey of software quality assurance and testing practices and challenges in Bangladesh. International Journal of Computer Applications, 975, 8887.

Rahim, S., Chowdhury, A. E., Nandi, D., Rahman, M., & Hakim, S. (2018). ScrumFall: a hybrid software process model. International Journal of Information Technology and Computer Science, 10, 41-48.

Al Imran, A., Rahman, A., Kabir, M. H., & Rahim, M. S. (2018). The Impact of Feature Selection Techniques on the Performance of Predicting Parkinson’s Disease. International Journal of Information Technology and Computer Science, 10(11), 14-29.

Peer Reviewed Conference Papers

Rahim, M. S., Chowdhury, A. E., Islam, M. A., & Islam, M. R. (2017, December). Mining trailers data from youtube for predicting gross income of movies. In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 551-554). IEEE.

Rahim, M. S., & Ahmed, T. (2017, December). An initial centroid selection method based on radial and angular coordinates for K-means algorithm. In 2017 20th International Conference of Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.

Rahim, M. S., Chowdhury, A. E., & Das, S. (2017, December). Rize: A proposed requirements prioritization technique for agile development. In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 634-637). IEEE.

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