Rana Muhammad Adnan Ikram

Papers

Total Citations

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About

Rana Muhammad Adnan Ikram is a rising researcher in operations research and logistics, with a focus on intelligent transportation systems and multi-robot coordination. His work centers on developing optimization algorithms for complex scheduling and routing problems, particularly in urban delivery environments. His most cited paper, "Delivery Route Scheduling of Heterogeneous Robotic System with Customers Satisfaction by Using Multi-Objective Artificial Bee Colony Algorithm" (2024, 6 citations), addresses the challenge of coordinating unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) for last-mile delivery. This study introduces a novel multi-objective approach that balances operational efficiency with customer satisfaction, demonstrating how heterogeneous robotic systems can be optimized for real-world constraints. Ikram’s contributions lie in advancing the application of swarm intelligence algorithms to logistics, offering practical solutions for autonomous delivery networks. His work has implications for smart city infrastructure and sustainable urban mobility. As an emerging voice in the field, Ikram continues to explore the intersection of artificial intelligence and robotics, aiming to create more responsive and efficient delivery systems that meet the growing demands of e-commerce and urban logistics.