Meilany Dewi

Sepuluh Nopember Institute of Technology

Papers

Total Citations

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About

Meilany Dewi has made notable contributions to the field of computer animation and crowd simulation, with a particular focus on modeling realistic group behaviors. Her key research area centers on simulating the movement of crowds using flocking algorithms, which draw inspiration from natural phenomena like bird flocking or fish schooling to create lifelike, coordinated motion in digital environments. Dewi’s most cited work, “Simulating the movement of the crowd in an environment using flocking” (2011), has garnered 5 citations and addresses a critical challenge in animation: replicating authentic crowd dynamics to enhance visual quality in cinema and gaming. By demonstrating how flocking-based models can mirror real-world crowd behavior, she has contributed to a major trend in the entertainment industry—improving the realism and immersion of animated scenes. Her research underscores the importance of aligning virtual crowd movements with their real-world counterparts, a pursuit that continues to influence developers and animators. Though her citation count is modest, Dewi’s work represents a foundational step in bridging computational simulation and artistic expression, offering valuable insights for students and researchers exploring the intersection of artificial life, computer graphics, and interactive media.