1. Personal Information

Name: Aouaidjia Kamel

Gender: Male

Date of birth: 12 June 1985. Algeria  

Nationality (origin): Algeria

Academic degree: PhD

Professional title: Postdoctoral Researcher

School of computer and information engineering. Henan University, China.

Biography:

Aouaidjia Kamel received the M.Eng. degree in computer science from the Abbes Laghrour University of Khenchela, Algeria, and the Ph.D. degree in computer science from Shanghai Jiao Tong University, China. He is currently a post-doctoral researcher with the School of Computer and Information Engineering at Henan University, China. He worked on research topics using deep learning to solve computer vision problems. His current research interest is human action recognition in videos.

2. Papers

[1]Kamel, A., Sheng, B., Yang, P., Li, P., Shen, R., & Feng, D. D. (2018). Deep convolutional neural networks for human action recognition using depth maps and postures.IEEE Transactions on Systems, Man, and Cybernetics: Systems,49(9), 1806-1819.

[2]KARAMBAKHSH, Ahmad, KAMEL, Aouaidjia, SHENG, Bin,et al.Deep gesture interaction for augmented anatomy learning.International Journal of Information Management, 2019, vol. 45, p. 328-336.

[3]AOUAIDJIA, Kamel, SHENG, Bin, LI, Ping,et al.Efficient body motion quantification and similarity evaluation using 3-D joints skeleton coordinates.IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, vol. 51, no 5, p. 2774-2788.

[4]KAMEL, Aouaidjia, SHENG, Bin, LI, Ping,et al.Hybrid refinement-correction heatmaps for human pose estimation.IEEE Transactions on Multimedia, 2020, vol. 23, p. 1330-1342.

[5]Zeghoud, S., Ali, S. G., Ertugrul, E., Kamel, A., Sheng, B., Li, P., ... & Mao, L. (2022). Real-time spatial normalization for dynamic gesture classification.The Visual Computer, 1-13.

[6]AOUAIDJIA, Kamel et BOUKERCH, Issam. Multi-scale convolutional neural networks for cloud segmentation. In :Remote Sensing of Clouds and the Atmosphere XXV. SPIE, 2020. p. 50-57.

[7]KAMEL, Aouaidjia et ISSAM, Boukerch. Data Augmentation for Land Cover Classification Using Generative Adversarial Networks. In :2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE, 2021. p. 2309-2312.

3. Projects

[1]National Natural Science Foundation of China, General Project, 62250410371, Research on human action recognition in videos using deep learning, 2023-02-01 to 2025-07-1, under research.

4. Email

kameldz40@gmail.com