A/2, Jahurul Islam Avenue
Jahurul Islam City, Aftabnagar
Dhaka-1212, Bangladesh
I am Md. Adnan Morshed, currently serving as a Lecturer at East West University in the Department of Computer Science and Engineering. I have had the opportunity to work in various academic roles, including Lecturer, Adjunct Lecturer, Undergraduate and Graduate Teaching Assistant, at institutions such as East West University, the Canadian University of Bangladesh, and Sonargaon University.
I completed both my Bachelor’s and Master’s degrees in Computer Science and Engineering from East West University, graduating with outstanding academic honors. I was awarded the Gold Medal for both degrees, and during my undergraduate studies, I was also recognized as the Summa Cum Laude and Valedictorian of my class.
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Book Chapter Details |
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Islam, M. M., Morshed, M. A., Kamal, K. M. S., Ferdaus, M. H., Ali, M. S., & Mridha, M. F. (2026). AI and Espionage: AI for Spyware Development. In Cyber Espionage and National Security Challenges: Cyber Wargaming for Critical Infrastructures (pp. 119–134). Springer Nature Switzerland. (Studies in Computational Intelligence, Vol. 1242). |
ISBN: 978-3-031-93324-4 (Print), 978-3-031-93325-1 (eBook) |
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ISBN: 978-1-032-70226-4 (Hardback), 978-1-003-46035-3 (eBook) |
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Podder, R., Rahman, M., Dey, S. R., Morshed, M. A., & Reza, A. W. (2025). MAE-ViT: A Hybrid SSL Vision Transformer Architecture for Precise Segmentation of Kidney Tumor. Proceedings of the 28th International Conference on Computer and Information Technology (ICCIT 2025), Cox’s Bazar, Bangladesh, 19–21 December 2025. IEEE. DOI: 10.1109/ICCIT68739.2025.11491313. |
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Mojumder, P., Al Alfi, S., Reemu, R. S., Morshed, M. A., & Reza, A. W. (2025). Explainable Deep Learning Paradigms for Nitrogen Deficiency Detection: Multi-Crop Assessment of CNN-Based Models for Agricultural Intelligence. Proceedings of the 28th International Conference on Computer and Information Technology (ICCIT 2025), Cox’s Bazar, Bangladesh, 19–21 December 2025. IEEE. DOI: 10.1109/ICCIT68739.2025.11491378. |
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Shikdar, O. F., Sultana, A., Shimu, I. J., Kabir, A., Morshed, M. A., & Reza, A. W. (2025). Breast Cancer Detection from Ultrasound Image Using Deep Learning. In Data Mining and Information Security: Proceedings of ICDMIS 2024, Volume 4 (Lecture Notes in Networks and Systems, Vol. 1388). Springer Nature Singapore. DOI: 10.1007/978-981-96-0636-2_24. |
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Sarker, I. A., Sowrow, A. R. A., Prova, S. I., Morshed, M. A., & Reza, A. W. (2025). Optimizing Deep Learning Models for Chest Radiograph Classification: A Multi-model Evaluation with Image Enhancement Techniques to Diagnose Pulmonary Disorders. In Data Mining and Information Security: Proceedings of ICDMIS 2024, Volume 5 (Lecture Notes in Networks and Systems, Vol. 1389). Springer Nature Singapore. DOI: 10.1007/978-981-96-6066-7_22. |
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Kamal, K. M. S., Morshed, M. A., Ritom, T. T., Rahman, M. H., Tahsin, M., & Reza, A. W. (2026). Precision Orthopedics with Deep Learning Models for Meniscal Injury Detection in MRI Images. In Proceedings of International Conference on Computational Intelligence and Information Retrieval, Volume 1 (Lecture Notes in Networks and Systems, Vol. 1593). Springer Nature Switzerland. DOI: 10.1007/978-3-032-02790-0_34. |
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7. |
Morshed, M. A., Sarker, A., Meem, M., Ahammed, F., Kamal, K. M. S., & Reza, A. W. (2025). An Energy-Efficient Virtual Machine Scheduling Algorithm in Cloud Data Center. In Proceedings of 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-4). IEEE. DOI: 10.1109/ECCE64574.2025.11012970. |
Planned Professional Memberships:
ACM (Association for Computing Machinery): Planning to join to access the ACM Digital Library and participate in Special Interest Groups (SIGs) related to curriculum design and ongoing research.
IEEE Computer Society: Planning to join to connect with global technical networks, track emerging engineering standards, and support student chapter activities.
ACM SIGCSE (Special Interest Group on Computer Science Education): Planning to join to adopt modern computer science pedagogical practices and engage with international educators.
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