Personal profile

Biography

Kh. Mustafizur Rahman has done his B.Sc. From Department of Computer Science And Engineering and M.Eng. From Department of Information Systems Security, in Bangladesh. He has more than 12 years of working experience after completing studies in his regarding fields. He is currently working as a respected faculty of Department of Computer Science And Engineering in a renowned private university named “World University of Bangladesh”. Before that he worked with a renowned multinational company named “Accenture” popularly known as Grameenphone IT Limited situated in Dhaka, Bangladesh. He has Five published an International Journal Paper and Seven conference paper. Currently working on another paper for publication. He is also looking forward for more and more studies and researches. His Current research focuses are on Data Science, Internet of Things, Cyber Security and Networking.

Education/Academic Qualification

M.Sc in Information Systems & Security from Bangladesh University of Professionals, Mirpur Cantonment. Dhaka

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Research output

Article

Conference paper

Books

Books Chapter

2025

Md Habibullah Shakib, Md. Yeasin, Kh Mustafizur Rahman, Fabiha Faiz Mahi, Saddam Hossain (2025), 'Active learning model used for android malware detection'. Machine Learning with Applications. (Volume 21) doi:10.1016/j.mlwa.2025.100680

Research output : Contribution to journal › Paper › peer-review

Mst. Nishita Aktar, Sornali Akter, Md. Nusaim Islam Saad, Jakir Hosen Jisun, Kh. Mustafizur Rahman, Md. Nazmus Sakib. A Comparative Study of Watering Hole Attack Detection Using Supervised Neural Network “International Conference on Cognitive Computing and Artificial Intelligence (ICCCAI-2024) in association with Taylor's University, Malaysia"

Research output : Contribution to conference › Article › peer-review

2024

Md. Nazmus Sakib; Afzal Hossain; Ahsan Ullah; Mst. Nishita Aktar; Noshin Un Noor; Kh. Mustafizur Rahman; Shamsun Nahar. Securing Critical Infrastructure: A Robust DNP3 Intrusion Detection System Employing Recurrent Neural Networks. Preceding of the 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS)

Research output : Contribution to conference › Paper › peer-review

Mst. Nishita Aktar; Md. Nazmus Sakib; Afzal Hossain; Ahsan Ullah; Kazi Hassan Robin; Kh. Mustafizur Rahman; Md Tuhin Reza; Ali Ameen; Md Refat Hossain; Debashis Kundu. Enhancing False Positive Alert Detection in Security Information and Event Management System Using Recurrent Neural Network. Proceedings of the 2024 27th International Conference on Computer and Information Technology (ICCIT).

Research output : Contribution to conference › Paper › peer-review

Md Amirul Islam, Giovanni Stea, Sultan Mahmud, Kh. Mustafizur Rahman COVID-19 Cases Detection from Chest X-Ray Images using CNN based Deep Learning Model. International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 5, 2022.

Research output : Contribution to journal

Implementation of Android Based Text to Image Steganography Using 512-Bit Algorithm with LSB Technique. Nazmun Nahar, Md. Kawsher Ahmed, Tareq Miah, Shahriar Alam, Kh. Mustafizur Rahman, Md. Anayt Rabbi. 2021 5th International Conference on Electrical Information and Communication Technology (EICT)

Research output : Contribution to conference

Microstrip Patch Antenna for Single Resonant Frequency Using Various Types of Slots, 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Date of Conference: 19-21 July 2023, Date Added to IEEE Xplore: 22 September 2023

Research output : Contribution to journal

Y. A. Joarder, Kh. Mustafizur Rahman and Fabiha Faiz Mahi (2020) Uplifted Tissue Characterization and Classification of Fatty Liver Disease from Ultrasound Images. Advancement in Image Processing and Pattern Recognition, 3(3), pp. 1–13.

Research output : Contribution to journal

Y. A. Joarder, Kh. Mustafizur Rahman and Ahsan Ullah (2019) A Hybrid Partitioning Algorithm for Robust Big Data Clustering and Analysis. Journal of Network Security and Data Mining, 2(3), pp. 1–16.

Research output : Contribution to journal

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Supervised Work