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• �����International Graduate Award (SINGA) - August 2019

1. Emadeldeen Eldele; Mohamed Ragab; Zhenghua Chen; Min Wu; Chee-Keong Kwoh; Xiaoli Li; Cuntai Guan “Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023.

2. Mohamed Ragab; Emadeldeen Eldele; Zhenghua Chen; Min Wu; Chee-Keong Kwoh; Xiaoli Li “Self-supervised Autoregressive Domain Adaptation for Time Series Data”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2022.

3. Emadeldeen Eldele; Mohamed Ragab; Zhenghua Chen; Min Wu; Chee-Keong Kwoh; Xiaoli Li; Cuntai Guan “Time-Series Representation Learning via Temporal and Contextual Contrasting”, International Joint Conferences on Artificial Intelligence (IJCAI) 2021.

4. Emadeldeen Eldele; Mohamed Ragab; Zhenghua Chen; Min Wu; Chee-Keong Kwoh; Xiaoli Li; Cuntai Guan “An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) 2021.

5. Emadeldeen Eldele; Mohamed Ragab; Zhenghua Chen; Min Wu; Chee-Keong Kwoh; and Xiaoli Li “Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) 2023.

6. Emadeldeen Eldele; Mohamed Ragab; Zhenghua Chen; Min Wu; Chee-Keong Kwoh; and Xiaoli Li “Contrastive Domain Adaptation for Time-Series via Temporal Mixup”, IEEE Transactions on Artificial Intelligence (TAI) 2023.

7. Mohamed Ragab; Emadeldeen Eldele; Min Wu; Chuan-Sheng Foo; Xiaoli Li; and Zhenghua Chen “Source-Free Domain Adaptation with Temporal Imputation for Time Series Data”, ACM Conference on Knowledge Discovery and Data Mining (SIGKDD) 2023.

8. Mohamed Ragab*; Emadeldeen Eldele*; Wee Ling Tan; Chuan-Sheng Foo; Zhenghua Chen; Min Wu; Chee-Keong Kwoh; Xiaoli Li “ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data”, ACM Transactions on Knowledge Discovery from Data (TKDD) 2023.

9. Mohamed Ragab; Zhenghua Chen; Wenyu Zhang; Emadeldeen Eldele; Min Wu; Chee-Keong Kwoh; Xiaoli Li “Conditional Contrastive Domain Generalization for Fault Diagnosis”, IEEE Transactions on Instrumentation and Measurement (TIM) 2022. 

• Journal Invited Reviewer: 
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  IEEE Transactions on Cognitive and Developmental Systems (TCDS)
  Journal of Biomedical and Health Informatics (J-BHI)
  Neurocomputing