ALGABRI REDHWAN
None · Sejong University
Biography
Redhwan Algabri received the B. Eng., M. Eng., and Ph.D. degrees in Mechanical Engineering in 2011, 2015, and 2022, from Al-Baath University (Syria), Cairo University (Egypt), and Sungkyunkwan University (South Korea), respectively. He was a postdoctoral researcher at the Research Institute of Engineering and Technology (RoCogMan Lab), Hanyang University, ERICA Campus, Ansan 15588, Republic of Korea. He is currently working as an Assistant Professor in the Department of Computer Science and Engineering, College of AI Convergence, Sejong University, Seoul 05006, Republic of Korea. His research interests in machine and deep learning, as well as intelligent robotics, include person tracking, object pose estimation, and identification for mobile robots.
Recent Scopus Publications
- ContQuat: Continuous quaternion representation for head pose estimation
- Multi-AAVs Collision-Free Flocking and Navigation in Dynamic Environments
- An optimized hybrid deep learning approach with uncertainty quantification for accurate transformer winding hotspot temperature forecasting
- MITD-Net: Markov image-based threat detection network
- Deep multi-metrics learning for mobile app defect prediction using code and process metrics
Links
- ORCID https://orcid.org/0000-0002-6151-5935
- Google Scholar https://scholar.google.com/citations?user=F08noBcAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=57216776324
- Personal Weblink https://www.researchgate.net/profile/Redhwan-Algabri