Navigating Challenges of Object Detection Through Cognitive Computing by Sadique Ahmad
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Sadique Ahmad (Member, IEEE) received the Ph.D. degree from the Department of Computer Sciences and Technology, Beijing Institute of Technology, China, in 2019, and the master's degree from the Department of Computer Sciences, IMSciences University, Peshawar, Pakistan, in 2015. Currently, he is associated with Prince Sultan University, Riyadh, Saudi Arabia as a Researcher. He has many collaborative scientific activities with international teams in different research projects in the following international universities. He has authored more than 67 research articles, which are published in peer-reviewed journals, books and conferences, including top journals, such as Information Sciences, Science China Information Sciences, Computational Intelligence and Neuroscience, Physica-A, and IEEE Access. Currently, he is focusing on Deep Cognitive Modeling for Trust Management in Social Cybersecurity, IoT, and Blockchain technologies. Previously, he worked on Cognitive Computing, Deep Cognitive Modeling for Students' Performance Prediction, and Cognitive Modeling in Object Detection using remote sensing images.