Dr. Mohammed Ashikur Rahman has recently joined University of Liberal Arts Bangladesh (ULAB) as Assistant Professor in the Department of Computer Science and Engineering. Dr. Ashikur sailed for IIUM, a reputed public university in Malaysia, in 2018 and returned to the country after awarding degree in 2021. He did his MSc from University of Hertfordshire, UK and BSc in Computer Science and Engineering from Victoria University, USA. Having started his teaching career from Atish Dipankar University of Science and Technology (ADUST) in 2010 and working there for 4 years, Dr. Ashikur later joined University of South Asia, Dhaka, and He worked for approximately 7 years from September 9, 2015 to February 07, 2022.
The area of his research is Machine Learning that is, developing a predicting model using simplified Multilayer Perceptron Network in particular. In addition to that he is also doing research in the area of Internet of Things and explainable Artificial Intelligence. His academic articles have been published in leading national and international literary journals. He is also reviewer of Scopus journal like IEEE Engineering in Medical and biology society and Journal of computer science.
PhD, International Islamic University Malaysia, Malaysia
MSc in Computer Networking, University of Hertfordshire’ UK
BSc in Computer Science and Engineering, Victoria University’ USA
Machine learning model, Internet of Things, Explainable Artificial Intelligence
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
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. (Scopus Indexed)
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. (IEEE Explore)
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. (IEEE Explore)
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.
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
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.