Surabhi Saxena

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About

Surabhi Saxena is a forward-thinking researcher at the intersection of autonomous systems and intelligent transportation, whose work directly addresses two of the most pressing global challenges: food security and urban mobility. Her research focuses on deploying autonomous ground robots in agriculture, where she tackles the critical issue of safe, efficient navigation. In her highly cited 2022 paper, she proposed using Voronoi partitioning to coordinate autonomous vehicles in agricultural settings—a solution designed to meet the urgent need for mechanized farming to feed a projected nine billion people by 2050. This work, garnering 14 citations, lays essential groundwork for scalable, automated agriculture. Simultaneously, Saxena is shaping the future of smart cities through her 2024 study on intelligent transportation systems (ITS). With 11 citations and growing, this paper explores how 5G, heterogeneous networks, and software-defined networking can revolutionize vehicle-to-everything communication, enabling safer, more efficient, and sustainable transportation. By bridging the gap between theoretical network architectures and real-world ITS applications, Saxena’s contributions are vital for developing the resilient, data-driven infrastructure needed for tomorrow’s autonomous world. Her dual focus on agriculture and transportation marks her as a versatile innovator tackling systemic challenges with computational elegance.