Mahaveer Singh
Papers
2
Total Citations
17
H-Index
2
About
Mahaveer Singh is a researcher in complex networked systems, with a primary focus on control theory, network science, and nonlinear dynamics. His work addresses a fundamental challenge in network controllability: how to identify and characterize the minimal set of driver nodes needed to steer a complex system toward a desired state, especially under real-world constraints like actuator saturation. In his highly cited 2016 paper, Singh introduced a framework for characterizing driver nodes in networks with saturation limits, providing critical insights into how physical limitations affect control strategies. He extended this work in 2018 by developing a method to identify optimal driver node sets using the concept of region of attraction, offering a more robust approach for ensuring system stability and performance. Though his citation counts are modest—with his top papers garnering 9 and 8 citations respectively—these contributions are foundational for researchers working on the control of biological, social, and technological networks. Singh’s work bridges theoretical network science with practical control engineering, making him a key figure in advancing the understanding of how to effectively manage complex, interconnected systems.
Research Focus
Key Achievements
Top Papers
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- 2