Deddy Chrismianto
Papers
4
Total Citations
27
H-Index
3
About
Deddy Chrismianto is a researcher whose work sits at the intersection of marine robotics and propulsion optimization. His primary research areas include the design and performance enhancement of underwater vehicles, specifically Remotely Operated Vehicles (ROVs) and autonomous sailboats. Chrismianto’s major contributions lie in applying computational and algorithmic methods to improve thruster and propeller efficiency. Notably, his work on optimizing thrust propeller design for ROVs using Genetic Algorithms (2017, 10 citations) has provided a framework for enhancing underwater robot performance. He has also advanced the field of autonomous sailboats by developing dynamic models for simulation and control (2020, 10 citations), enabling real-time ocean monitoring with minimal human intervention. Additionally, his investigations into ducted propeller designs using Computational Fluid Dynamics (CFD) (2016, 4 and 3 citations) have explored nozzle configurations to maximize thrust. While his citation counts reflect a growing, specialized impact, Chrismianto’s research is foundational for students and engineers seeking to improve the autonomy and efficiency of marine vehicles, particularly in resource-constrained environments.
Research Focus
Key Achievements
Top Papers
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