Yousaf Bin Zikria
Papers
2
Total Citations
634
H-Index
2
About
Yousaf Bin Zikria is a leading researcher in smart cities, wireless communications, and machine learning, with a focus on integrating emerging technologies to build resilient, intelligent urban systems. His most-cited work, "Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects" (2022), has garnered over 579 citations, establishing it as a foundational reference for researchers and policymakers navigating the complexities of smart city development. In this paper, Zikria systematically maps the interplay between IoT, AI, and 5G networks, offering a comprehensive framework that addresses scalability, security, and sustainability. Beyond smart cities, he has advanced speech recognition systems, notably in "Incorporating Noise Robustness in Speech Command Recognition by Noise Augmentation of Training Data" (2020, 55 citations), where he demonstrated how data augmentation techniques can dramatically improve model accuracy in real-world, noisy environments. His work bridges theoretical innovation and practical deployment, influencing fields from autonomous vehicles to voice-controlled infrastructure. Zikria’s contributions are widely recognized for their clarity and impact, making him a trusted voice in the evolution of next-generation communication networks and intelligent environments.
Research Focus
Key Achievements
Top Papers
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