Abdul Basit Aftab
Papers
1
Total Citations
3
H-Index
1
About
Abdul Basit Aftab is a forward-looking researcher at the intersection of artificial intelligence and smart infrastructure, with a primary focus on intelligent transportation systems (ITS). His work explores how AI can revolutionize urban mobility by enabling machines to perceive, reason, and solve complex traffic problems in real time. Aftab’s most cited paper, “Current and Future Trends in an Intelligent Transportation System with Applications of AI” (2023), has already garnered early attention with 3 citations, signaling growing interest in his vision for data-driven, autonomous transport networks. In this work, he synthesizes emerging AI trends—from deep learning to edge computing—and maps their potential to transform safety, efficiency, and sustainability in transportation. Aftab’s contributions are particularly timely, addressing the challenges posed by massive data streams from the Internet of Things and connected vehicles. His research not only surveys the state of the art but also charts a roadmap for future innovations, making him a key voice in the push toward smarter, more responsive cities. For students and researchers, Aftab’s work offers a compelling glimpse into how AI will reshape the way we move.
Research Focus
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Top Papers
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