University of Tsukuba, Japan

Jahangirnagar University, Savar, Dhaka-1342, Bangladesh

Hajee Mohammad Danesh Science & Technology University, Dinajpur-5200, Bangladesh

July 11, 2022 to Present

July 11, 2019 to July 10, 2022

August 01, 2018 to July 10, 2019

November 01, 2016 to July 30, 2018

May 02, 2016 to November 30, 2016

Md Abu Marjan,  Toshiyuki AMAGASA, "Domain-Adaptive Entity Recognition: Unveiling the Potential of CSER in Cybersecurity and Beyond"  (Under review)

Hasan, Mahmudul, Md Abdus Sahid, Md Palash Uddin, Md Abu Marjan, Seifedine Kadry, and Jungeun Kim. "Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets." PeerJ Computer Science  (SJR Q2, IF: 3.8, Cite Score: 4.2, Scopus, Web of Science)   10 (2024): e1917.

Md. Moshiur Rahman, Md. Abu Marjan, Md Rashedul Islam, Md. Palash Uddin , Masud Ibn Afjal, "SSLDA for Hyperspectral Image Classification" (Under review)

Md Rashedul Islam, Adiba Mahjabin Nitu, Md Abu Marjan, Md Palash Uddina, Masud Ibn Afjal and Md Abdulla Al Mamun  " An  Explainable Educational Data Mining System for Tertiary Students’ Programming Skills Enhancement" (Under review)

Md Abu Marjan, Md Habibur Rahman, Md Palash Uddin, Md Akram Hossain "Recommendation System for Improving Physicians’ Adoption of Electronic Health Records (EHRs) in the Healthcare Sector" (Under review) 

Md Zahidul Islam, Md Abu Marjan , Mahmudul Hasan, Md Palash Uddin, Masud Ibn Afjal and Nahid Binte Sadia "Masked Face Recognition-Driven Security System for COVID-19 Issue Resolution". (Under review)

Md. Rashedul Islam, Adiba Mahjabin Nitu, Dr. Md. Abdulla Al Mamun, Md. Abu Marjan, Md. Palash Uddin, Masud Ibn Afjal "Educational Data Mining System for Predicting Students’ Programming Performance",  Journal of Information Hiding and Multimedia (SJR IF= 0.41, Q3) Signal Processing, 2023. 

Mahmudul Hasan Moon, Md Abu Marjan, Md Palash Uddin, Masud Ibn Afjal, Seifedine Kadry, Shaoqi Ma, and Yunyoung Nam. "Ensemble Machine Learning-based Recommendation System for Effective Prediction of Suitable Agricultural Crop Cultivation." Frontiers in Plant Science (Q1, IF 5.6, Citescore 7.1, Scopus, WoS)   Volume 14 - 2023 

Md Abu Marjan, Md Palash Uddin, and Masud Ibn Afjal. "An Educational Data Mining System for Predicting and Enhancing Tertiary Students’ Programming Skill." The Computer Journal  (IF=1.4, SCIE )  66, no. 5 (2023): 1083-1101.

Md. Abu Marjan, Md. Rashedul Islam, Md. Palash Uddin, Masud Ibn Afjal, Md. Al Mamun, "PCA-based Dimensionality Reduction for Face Recognition," TELKOMNIKA (Telecommunication Computing Electronics and Control) (2020 SJR IF=0.26, Scopus, Q3), Vol. 19, No. 5, 2021.

Masud Ibn Afjal, Md. Palash Uddin, Md. Al Mamun, and Md. Abu Marjan, "An Efficient Lossless Compression Technique for Remote Sensing Images using Segmentation based Band Reordering Heuristics," International Journal of Remote Sensing (IJRS 2019 IF= 2.976, SCIE, Q1), 2021

Md. Abu Marjan, Nahid Binte Sadia, Md. Dulal Haque, Md. Palash Uddin, Masud Ibn Afjal and Md. Rashedul Islam, "Error Concealment by Tracking and Velocity Estimation of Macro-Block in Video Communication at the Decoder of H.264/AVC," International Journal of Computer Science and Software Engineering, vol. 4, issue. 8, pp. 199-203, 2015.

M. P. Uddin, M. I. Afjal, A. M. Nitu, M. M. Islam and M. A. Marjan, "Development of a Symmetric-key Cryptographic Algorithm based on ASCII and Radix Conversions," Institutional Engineering and Technology (IET), vol. 5, issue. 1, pp. 19-24, 2015.

Faruk, Md Omar, Radiya Binte Reza, Sabbir Hossain Sourav, Mahmudul Hasan, Md Fazle Rabbi, and Md Abu Marjan. "An Explainable AI Enable Approach to Reveal Feature Influences on Social Media Customer Purchase Decisions." In International Conference on Big Data, IoT and Machine Learning, pp. 79-94. Singapore: Springer Nature Singapore, 2023.

Md Abu Marjan,  Toshiyuki AMAGASA, " CSER: Enhancing Cybersecurity Entity Recognition Through Multidimensional Feature Fusion " IEEE International Conference on Bigdata 2023 (Bigdata 2023), 15-18 Dec 2023. doi: 10.1109/BigData59044.2023.10386941

Shabbir Ahmed, , Md Abu Marjan*, Md Moshiur Rahman, Md Shahriar Haque, Md Palash Uddin, and Masud Ibn Afjal,”Spectrally-Segmented-Incremental-PCA for Hyperspectral Image Classification”,25th  International Conference on Computer and Information Technology (ICCIT 2022)

Md. Abu Marjan*, Mahmudul Hasan, Md. Zahidul Islam, Md. Palash Uddin, Masud Ibn afjal “Masked Face Recognition System using Extended VGG-19” 4th International Conference on Electrical, Computer & Telecommunication Engineering, 2022.

Tanver Ahmed, Md. Hasanul Bari, Masud Ibn Afjal, Adiba Mahjabin Nitu, Md Palash Uddin, and Md Abu Marjan ,” Effective Feature Extraction via Segmented t-Stochastic Neighbor Embedding for Hyperspectral Image Classification”, 4th International Conference on Trends in Computational and Cognitive Engineering (TCCE-2022).

Md. Hasanul Bari, Tanver Ahmed, Masud Ibn Afjal, Adiba Mahjabin Nitu, Md Palash Uddin, and Md Abu Marjan ,” Effective Feature Extraction via Segmented Nonnegative Matrix Factorization for Hyperspectral Image Classification ”, 4th International Conference on Trends in Computational and Cognitive Engineering (TCCE-2022).

Md Shahriar Haque, Md Moshiur Rahman , Shabbir Ahmed, Md Abu Marjan*, and Md Palash Uddin, and Masud Ibn Afjal,” Segmented-Sparse-PCA for Hyperspectral Image Classification”, 4th International Conference on Electrical, Computer & Telecommunication Engineering, 2022.

Md. Hasanul Bari, Tanver Ahmed, Masud Ibn Afjal, Adiba Mahjabin Nitu, Md Palash Uddin, and Md Abu Marjan ,” Effective Feature extraction via Folded-Sparse-PCA for Hyperspectral Image classification”, International Conference on Machine Intelligence and Emerging Technologies 2022 (MIET 2022).

Md Moshiur Rahman , Shabbir Ahmed, Md Shahriar Haque, Md Abu Marjan*, and Md Palash Uddin, and Masud Ibn Afjal,” Segmented-Truncated-SVD for Effective Feature Extraction in Hyperspectral Image Classification”, International Conference on Machine Intelligence and Emerging Technologies 2022 (MIET 2022).

Shabbir Ahmed, Md Moshiur Rahman, Md Shahriar Haque, Md Abu Marjan*, Md Palash Uddin, and Masud Ibn Afjal,” Segmented-Incremental-PCA for Hyperspectral Image Classification”, International Conference on Machine Intelligence and Emerging Technologies 2022 (MIET 2022),

Muhammad Abu  Rayan , Abdur Rahim, Md Abir Rahman, Md Abu Marjan, and UA Md Ehsan Ali. "Fish freshness classification using combined deep learning model." In 2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), pp. 1-5. IEEE, 2021.

Mahmudul Hasan Moon, Md. Palash Uddin, Masud Ibn Afjal, Md. Al Mamun, Md. Abu Marjan and Adiba Mahjabin Nitu, "A Cryptographic Algorithm Based on ASCII and Number System Conversions along with a Cyclic Mathematical Function," IEEE International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Bangladesh, 2019.

Md Farhad Mokter, Sumya Akter, Md. Palash Uddin, Masud Ibn Afjal, Md. Al Mamun and Md. Abu Marjan, "An Efficient Technique for Representation and Compression of Bengali Text," IEEE International Conference on Bangla Speech and Language Processing (ICBSLP), Bangladesh, 2018.

Md. Palash Uddin, Mousumi Saha, Syeda Jannatul Ferdousi, Masud Ibn Afjal, Md. Abu Marjan, "Developing an Efficient Solution to Information Hiding through Text Steganography along with Cryptography," 9th IEEE International Forum on Strategic Technology, Bangladesh, 2014.

Md. Abu Marjan, Md. Palash Uddin, Masud Ibn Afjal and Md. Dulal Haque, "Developing an Efficient Algorithm for Representation and Compression of Large Bengali Text," 9th IEEE International Forum on Strategic Technology, Bangladesh, 2014.

Md. Palash Uddin, Emran Ali, Md. Abu Marjan, and Md. Abdulla Al Mamun, "Indexed Binary Search based efficient search generator for J2ME English to English dictionary," 3rd IEEE International Conference on Informatics, Electronics & Vision, Bangladesh, 2014.

Md. Palash Uddin, Md. Abu Marjan, Nahid Binte Sadia and Md. Rashedul Islam, "Developing an Efficient Algorithm to Combine Cryptography and Steganography Based on ASCII Conversions and Cyclic Mathematical Function," 3rd IEEE International Conference on Informatics, Electronics & Vision, Bangladesh, 2014.

Funded by: Japanese Government

Funded by: Ministry of Science and Technology, Government of Bangladesh

Position: Project Director

Description: The scientific community has observed several issues as a result of COVID-19, both directly and indirectly. The use of face mask for health protection is crucial in the current COVID-19 scenario. Besides, ensuring the security of all people, from individuals to the state system, financial resources, diverse establishments, government, and non-government entities, is an essential component of contemporary life. Face recognition system is one of the most widely used security technology in modern life. In the presence of face masks, the performance of the current face recognition systems is not satisfactory. In this paper, we investigate a flexible solution that could be employed to recognize masked faces effectively. To do this, we develop a unique dataset to recognize the masked face, consisting of a frontal and lateral face with a mask. We propose an extended VGG19 deep model to improve the accuracy of the masked face recognition system. Then, we compare the accuracy of the proposed framework to that of well-known deep learning techniques, such as the standard Convolutional Neural Network (CNN) and the original VGG19. The experimental results demonstrate that the proposed extended VGG19 outperforms the investigated approaches. Quantitatively, the proposed model recognizes the frontal face with the mask with high accuracy of 96%

URL: https://www.researchgate.net/profile/Md_Marjan3

URL: https://scholar.google.com/citations?hl=en&user=E04dyxsAAAAJ