Sharul Sham Dol
Papers
1
Total Citations
2
H-Index
1
About
Dr. Sharul Sham Dol is a pioneering researcher in multi-physics engineering optimization, with a primary focus on the fluid-dynamic and structural design of autonomous robotic systems. His most-cited work, "Fluid-Dynamic and Structural Optimization of a Suction-Enabled Autonomous Grass-Cutter Robot" (2025, 2 citations), exemplifies his signature approach: integrating computational fluid dynamics (CFD) and finite element analysis (FEA) to enhance robotic performance. In this study, Dr. Dol optimized a grass-cutter robot by analytically validating key parameters such as Reynolds number, pressure drop, and turbulence intensity, while employing a simulation workflow that combined Python, Webots, and structural FEA. This work demonstrates his ability to bridge theoretical fluid mechanics with practical robotics, achieving a holistic design that balances suction efficiency and chassis integrity. Though early in citation impact, the paper’s interdisciplinary methodology—merging duct-level CFD with structural optimization—marks a notable contribution to autonomous ground vehicle design. Dr. Dol’s research is particularly valuable for students and engineers seeking to apply multi-physics simulation to real-world robotic systems, offering a template for integrating analytical validation with digital prototyping. His work underscores the growing importance of simulation-driven optimization in sustainable automation, positioning him as an emerging voice in the field of smart, environmentally adaptive robotics.
Research Focus
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Top Papers
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