Mochamad Hariadi
Papers
1
Total Citations
5
H-Index
1
About
Mochamad Hariadi is a researcher whose work lies at the intersection of computer graphics, artificial intelligence, and crowd simulation. His primary research focus involves modeling realistic crowd behavior and movement in virtual environments, a field critical to advancing animation in cinema, gaming, and simulation technologies. His most cited work, "Simulating the movement of the crowd in an environment using flocking" (2011), has garnered 5 citations and explores how flocking algorithms can replicate authentic crowd dynamics, enhancing the realism of animated scenes. Hariadi’s contributions address a fundamental challenge in computer animation: bridging the gap between simulated movement and real-world crowd behavior. By applying principles of collective motion, his research helps create more believable and immersive virtual crowds, a growing necessity in entertainment and training simulations. While his citation count is modest, his work represents an important step in improving the quality of crowd animation, reflecting a dedication to making digital environments more lifelike. Hariadi’s efforts contribute to a broader trend in the industry, where realistic crowd simulation is increasingly valued for its ability to elevate storytelling and user experience.
Research Focus
Key Achievements
Top Papers
- 1Simulating the movement of the crowd in an environment using flocking5 citations · 2011