Mohammed Ashikur Rahman, PhD

Mohammed Ashikur Rahman has been working as an Assistant Professor in the Department of Computer Science and Engineering at the University of Liberal Arts Bangladesh (ULAB) since February 2022. He began his academic journey at Atish Dipankar University of Science and Technology (ADUST) in 2010, where he taught for four years before moving to the University of South Asia, Dhaka. There, he served for approximately seven years, from September 2015 until February 2022.

Dr. Ashikur pursued his PhD at the International Islamic University Malaysia (IIUM), returning to Bangladesh upon completing his degree in 2021. He holds a Master’s degree in Computer Networking and a Bachelor’s degree in Computer Science and Engineering from abroad.

His research focuses primarily on Machine Learning, particularly in developing predictive models using simplified neural network. He is also engaged in research related to the Internet of Things and explainable Artificial Intelligence. Dr. Rahman's scholarly contributions have been published in prominent national and international journals, and he serves as a reviewer for several Scopus-indexed journals, including IEEE Engineering in Medicine and Biology Society and the Journal of Computer Science.

Program Affiliation
Bachelor of Science, Computer Science and Engineering (CSE)
Education

PhD, International Islamic University Malaysia, Malaysia

MSc in Computer Networking, University of Hertfordshire’ UK

Areas of Interest

Generative AI, XAI, and Internet of Things.

Journal Articles:
  1. Rahman, M. A., Islam, M. R., Rafath, M. A. H., & Mhejabin, S. (2023). CNN Based Covid-19 Detection from Image Processing. Journal of ICT Research & Applications, 17(1).
  2. Al-Naeem, M., Rahman, M. A., Ibrahim, A. A. & Rahman, M. H. (2020). AI-Based Techniques for DDoS Attack Detection in WSN: A Systematic Literature Review. Journal of Computer Science, 16(6), 848-855. https://doi.org/10.3844/jcssp.2020.848.855.
  3. Rahman, M. A., & Tumian, A. (2019). Variables Influencing Machine Learning-Based Cardiac Decision Support System: A Systematic Literature Review. Applied Mechanics and Materials, 892, 274–283. https://doi.org/10.4028/www.scientific.net/amm.892.274
  4. Ashikur M Rahman, Sabbir M Saleh and Syed Maruful Huq. Intrusion Detection System for Wireless ADHOC Network using Time Series Techniques. International Journal of Computer Applications 162(1):38-42, March 2017.
  5. A I Liton, M A Rahman, T Rahman, "Mining Weighted Association Rules Using Probabilistic and Combinational Approach", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20163652, Volume 6 Issue 2, February 2017, 475 – 479
Conference Proceedings:
  1. Aurpita, S. N., Momo, A. T., & Rahman, M. A. (2024, March). RaiDen: An IOT-based automated and integrated system for improvement of plant growth. In 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS) (pp. 01-06). IEEE.
  2. Mitra, S. M., D'Costa, J. A., Sami, M. M., Nibir, M. M. H., & Rahman, M. A. (2024, March). Secure Blockchain and AI-Based Decision Making for Chemical Supply Chain Management. In 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS) (pp. 1-6). IEEE.
  3. Rahman, M. A., Ibrahim, A. A., & Tumian, A. (2023, February). Feature Selection using Generalized Linear Model for Machine Learning-based Sepsis Prediction. In 2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) (pp. 1-6). IEEE.
  4. Paul, B., Rozario, R. X., Roy, A., Chakma, S., Wohra, M. A. A., Mahmud, K. R., & Rahman, M. A. (2022, October). Deep Learning Techniques for the Automatic Detection and Classification of Rice Diseases. In International Conference on Information and Communication Technology for Competitive Strategies (pp. 229-240). Singapore: Springer Nature Singapore.
  5. S. M. Huq, M. A. Rahman and S. M. Saleh, "Application for integrating microcontrollers to Internet of Things," 2017 20th International Conference of Computer and Information Technology (ICCIT), Dhaka, 2017, pp. 1-4, doi: 10.1109/ICCITECHN.2017.8281837.
  6. S. M. Saleh, S. M. Huq and M. A. Rahman, "Comparative Study within Scrum, Kanban, XP Focused on Their Practices," 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), Cox'sBazar, Bangladesh, 2019, pp. 1-6, doi: 10.1109/ECACE.2019.8679334.
  7. Rahman Mohammed Ashikur, Ibrahim Adamu AbuBakar, Othman Roslina Bt., Tumian Afidalina (2021), Simplify Deep Learning-based Sepsis Prediction Model by Pruning Optimal Brain Surgeon, 4th International Conference on Computer Assisted System in Health, Education & Sustainable Development (CASH) 2020, University Putra Malaysia.