Muhammad Aufeef Chauhan
Papers
2
Total Citations
9
H-Index
2
About
Muhammad Aufeef Chauhan is a researcher at the forefront of edge-cloud computing, autonomous systems, and knowledge management. His work focuses on enabling intelligent, situation-aware operations in hybrid environments, where dynamic task assignment and real-time data processing are critical. Chauhan’s most cited paper, “KRIOTA: A framework for Knowledge-management of dynamic Reference Information and Optimal Task Assignment in hybrid edge–cloud environments to support situation-aware robot-assisted operations” (2024, 6 citations), introduces a novel framework that optimizes task allocation and knowledge retrieval for robotic systems operating across edge and cloud layers. This contribution is pivotal for advancing autonomous robot-assisted operations in complex, resource-constrained settings. Additionally, his experience report on “Designing a Security Platform for Collaborating Autonomous Systems” (2021, 3 citations) addresses the adaptive security needs of collaborative robots like TurtleBots, proposing mechanisms for confidentiality, integrity, and availability that adjust to mission requirements and processing capacities. Chauhan’s work bridges theoretical frameworks and practical implementations, making significant strides in secure, efficient autonomous systems. His research is highly relevant for students and engineers exploring edge intelligence, multi-robot coordination, and resilient cyber-physical systems.
Research Focus
Key Achievements
Top Papers
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