Dr. Fayaz Ali is a Postdoctoral Fellow in Computer Vsion in the Department of Electrical Engineering and Computer Science at Khalifa University, UAE. Dr. Fayaz received his Ph.D degree in Computer Applied Engineering and Engineering from the Institute of Computer Network Information Center Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China in July 2022. He received a B.E degree in Electronic Engineering from Quaid-e-Awam University of Engineering Science and Technology (QUEST) Pakistan and M.S. degrees in Software Engineering at University of Electronic Science and Technology of China (UESTC) in 2016 and 2018, respectively.
He has published more than 30 articles in reputed ISI impact factor journals, including IEEE Transactions on Fuzzy Systems, IEEE/ACM Transactions on Computational Biology and Bioinformatics, ACM Transactions on Intelligent Systems and Technology, International Journal of Intelligent Systems, IEEEE GRSL, etc. He is a member of professional bodies such as the Pakistan Engineering Council (PEC), ACM (2501020), IEEE (USA), IEEE Societies, such as IEEE Geoscience and Remote Sensing Society, IEEE Computer Society and IEEE Signal Processing Society. He is a member of the Technical Program Committee and a Reviewer of several Scopus, Springer, and Thomson Reuters indexed conferences.
Currently, he is working in the area of computer vision and image processing, which encompasses a broad range of research interests. It includes image dehazing, image super-resolution, and uncertainty estimation for object detection and segmentation.
I am hired as a Posdoc in the project Underwater Image/Video Analysis.
Highlights of the Project:
This project addresses the main challenges faced by computer vision algorithms for underwater image analysis applications. The lack of publicly available underwater data is the major challenge to train very deep neural networks for different tasks such as object tracking, generic object detection, and segmentation.
We are developing a large-scale underwater video analysis dataset for addressing fundamental computer vision applications.
I am serving as Technical Program Committee (TPC) for IEEE GLOBCOM 2022 and ACCV 2022. I am a regular reviewer of IEEE TCBB, IEEE TIP, IEEE TII, ACM TMCCA, IEEE Transactions on Green Communications and Networking, Computer Communications, IEEE GLOBCOM etc.
Currently, I am working with researchers from UCF (USA), MTU (Ireland), Waterford Institute of Technology (Ireland), Sungkyunkwan University (Seoul, South Korea), Sejong University (South Korea) etc.
There are a number of awards that I have won over the years:
2022 International Excellent Graduate Award: Awarded by University of Chine Academy of Science (2,000 RMB/Yuan), 2022
2020 CSC Outstanding International Award: Awardeby the Ministry of Education of China (30,000 RMB/Yuan), 2020
2020 International Excellent Student Award: Awarded by University of Chine Academy of Science, (2,000 RMB/Yuan), 2020
CAS-TWAS President Fellowship: Awarded by Chinese Academy of Sciences and The World Academy of Sciences, 2018-2022
Chinese Government Scholarship: Awarded by University of Electronics Science and Technology of China (UESTC), 2016-2018
Academic and Research Award: Awarded by School of Information and Software Engineering (UESTC), 2017
IEPSAC Saudi Arbia Scholarship: Awarded by Quaid E Awam University of Engineering, Sciences Technology, 2013-2015
