Publications – Pioneering Data-Driven Insights for a Smarter Future

Publications

Journal Papers

“Adaptive Regularization and Resilient Estimation in Federated Learning”, IEEE Transactions on Services Computing (IF = 5.5, Q1, A*), 17(4): 1369 – 1381, 2023.

Md Palash Uddin, Yong Xiang, Yao Zhao, Mumtaz Ali, Yushu Zhang, and Longxiang Gao.

“Adaptive and Robust Federated Learning”, IEEE Transactions on Mobile Computing (IF = 7.7, Q1, A*), 25(5): 5401 – 5417, 2023.

Md Palash Uddin, Yong Xiang, Yao Zhao, Mumtaz Ali, Yushu Zhang, and Longxiang Gao.

“Federated Learning for Medical Imaging: A Survey”, Journal of Computer Science (SJR IF= 0.2, Q4), 2024 (Accepted).

Muhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin, and Anwaar Ulhaq.

“Federated Learning for Medical Imaging: A Survey”, Journal of Computer Science (SJR IF= 0.2, Q4), 2024 (Accepted).

Muhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin, and Anwaar Ulhaq.

“A Novel Data Balancing Technique via Resampling Majority and Minority Classes Toward Effective Classification”, TELKOMNIKA (Telecommunication Computing Electronics and Control) (SJR IF= 0.26, Q3), 21(6), 2023.

Mahmudul Hasan, Md. Fazle Rabbi, Md. Nahid Sultan, Adiba Mahjabin Nitu, and Md Palash Uddin.

Conference Papers

“Enhancing Parallelism in Cross-silo Federated Learning for Brain Disease Classification”, IEEE Conference on Computing, Applications and Systems, Bangladesh, 2024 (In Press).

Md. Abdus Sahid, Hasi Saha, and Md Rashedul Islam and Md Palash Uddin.

“Adaptive and Robust Federated Learning”, IEEE Transactions on Mobile Computing (IF = 7.7, Q1, A*), 25(5): 5401 – 5417, 2023.

Md Palash Uddin, Yong Xiang, Yao Zhao, Mumtaz Ali, Yushu Zhang, and Longxiang Gao.

“Federated Learning for Medical Imaging: A Survey”, Journal of Computer Science (SJR IF= 0.2, Q4), 2024 (Accepted).

Muhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin, and Anwaar Ulhaq.

“Federated Learning for Medical Imaging: A Survey”, Journal of Computer Science (SJR IF= 0.2, Q4), 2024 (Accepted).

Muhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin, and Anwaar Ulhaq.

“A Novel Data Balancing Technique via Resampling Majority and Minority Classes Toward Effective Classification”, TELKOMNIKA (Telecommunication Computing Electronics and Control) (SJR IF= 0.26, Q3), 21(6), 2023.

Mahmudul Hasan, Md. Fazle Rabbi, Md. Nahid Sultan, Adiba Mahjabin Nitu, and Md Palash Uddin.

Book Chapter

“Enhancing Parallelism in Cross-silo Federated Learning for Brain Disease Classification”, IEEE Conference on Computing, Applications and Systems, Bangladesh, 2024 (In Press).

Md. Abdus Sahid, Hasi Saha, and Md Rashedul Islam and Md Palash Uddin.

“Adaptive and Robust Federated Learning”, IEEE Transactions on Mobile Computing (IF = 7.7, Q1, A*), 25(5): 5401 – 5417, 2023.

Md Palash Uddin, Yong Xiang, Yao Zhao, Mumtaz Ali, Yushu Zhang, and Longxiang Gao.

“Federated Learning for Medical Imaging: A Survey”, Journal of Computer Science (SJR IF= 0.2, Q4), 2024 (Accepted).

Muhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin, and Anwaar Ulhaq.

“Federated Learning for Medical Imaging: A Survey”, Journal of Computer Science (SJR IF= 0.2, Q4), 2024 (Accepted).

Muhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin, and Anwaar Ulhaq.

“A Novel Data Balancing Technique via Resampling Majority and Minority Classes Toward Effective Classification”, TELKOMNIKA (Telecommunication Computing Electronics and Control) (SJR IF= 0.26, Q3), 21(6), 2023.

Mahmudul Hasan, Md. Fazle Rabbi, Md. Nahid Sultan, Adiba Mahjabin Nitu, and Md Palash Uddin.

Book

“Enhancing Parallelism in Cross-silo Federated Learning for Brain Disease Classification”, IEEE Conference on Computing, Applications and Systems, Bangladesh, 2024 (In Press).

Md. Abdus Sahid, Hasi Saha, and Md Rashedul Islam and Md Palash Uddin.

“Adaptive and Robust Federated Learning”, IEEE Transactions on Mobile Computing (IF = 7.7, Q1, A*), 25(5): 5401 – 5417, 2023.

Md Palash Uddin, Yong Xiang, Yao Zhao, Mumtaz Ali, Yushu Zhang, and Longxiang Gao.

“Federated Learning for Medical Imaging: A Survey”, Journal of Computer Science (SJR IF= 0.2, Q4), 2024 (Accepted).

Muhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin, and Anwaar Ulhaq.

“Federated Learning for Medical Imaging: A Survey”, Journal of Computer Science (SJR IF= 0.2, Q4), 2024 (Accepted).

Muhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin, and Anwaar Ulhaq.

“A Novel Data Balancing Technique via Resampling Majority and Minority Classes Toward Effective Classification”, TELKOMNIKA (Telecommunication Computing Electronics and Control) (SJR IF= 0.26, Q3), 21(6), 2023.

Mahmudul Hasan, Md. Fazle Rabbi, Md. Nahid Sultan, Adiba Mahjabin Nitu, and Md Palash Uddin.

Projects

» Running Projects

“Enhancing Parallelism in Cross-silo Federated Learning for Brain Disease Classification”, IEEE Conference on Computing, Applications and Systems, Bangladesh, 2024 (In Press).

Md. Abdus Sahid, Hasi Saha, and Md Rashedul Islam and Md Palash Uddin.

“Adaptive and Robust Federated Learning”, IEEE Transactions on Mobile Computing (IF = 7.7, Q1, A*), 25(5): 5401 – 5417, 2023.

Md Palash Uddin, Yong Xiang, Yao Zhao, Mumtaz Ali, Yushu Zhang, and Longxiang Gao.

“Federated Learning for Medical Imaging: A Survey”, Journal of Computer Science (SJR IF= 0.2, Q4), 2024 (Accepted).

Muhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin, and Anwaar Ulhaq.

“Federated Learning for Medical Imaging: A Survey”, Journal of Computer Science (SJR IF= 0.2, Q4), 2024 (Accepted).

Muhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin, and Anwaar Ulhaq.

“A Novel Data Balancing Technique via Resampling Majority and Minority Classes Toward Effective Classification”, TELKOMNIKA (Telecommunication Computing Electronics and Control) (SJR IF= 0.26, Q3), 21(6), 2023.

Mahmudul Hasan, Md. Fazle Rabbi, Md. Nahid Sultan, Adiba Mahjabin Nitu, and Md Palash Uddin.

» Projects Completed

“Enhancing Parallelism in Cross-silo Federated Learning for Brain Disease Classification”, IEEE Conference on Computing, Applications and Systems, Bangladesh, 2024 (In Press).

Md. Abdus Sahid, Hasi Saha, and Md Rashedul Islam and Md Palash Uddin.

“Adaptive and Robust Federated Learning”, IEEE Transactions on Mobile Computing (IF = 7.7, Q1, A*), 25(5): 5401 – 5417, 2023.

Md Palash Uddin, Yong Xiang, Yao Zhao, Mumtaz Ali, Yushu Zhang, and Longxiang Gao.

“Enhancing Parallelism in Cross-silo Federated Learning for Brain Disease Classification”, IEEE Conference on Computing, Applications and Systems, Bangladesh, 2024 (In Press).

Md. Abdus Sahid, Hasi Saha, and Md Rashedul Islam and Md Palash Uddin.