Rizki Mardian

University of Indonesia, Nagoya University

Papers

Total Citations

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About

Rizki Mardian is a researcher specializing in bio-inspired algorithms, swarm intelligence, and DNA-based molecular computing. His work bridges computational modeling and biological systems, with a focus on solving complex problems in dynamic environments. Mardian’s most notable contribution is the development of a Modified Particle Swarm Optimization (MPSO) algorithm for localizing multiple odor sources in dynamic, wind-affected environments. This work, which has garnered 31 citations, introduces niche characteristics to address multi-peak and multi-source challenges, offering a robust solution for robotic olfaction and environmental monitoring. Additionally, Mardian has explored the emerging field of DNA-based molecular robotics, designing a coordination model driven by multiple entity interactions using DNA-based Petri Nets. This research, though early-stage with 2 citations, lays foundational groundwork for autonomous molecular robots by enabling high-level control of DNA agents. Mardian’s work demonstrates a unique ability to adapt classical optimization techniques to real-world, dynamic conditions, while also venturing into the cutting-edge domain of biological computation. His contributions are particularly relevant for researchers in swarm robotics, odor source localization, and synthetic biology, offering both practical algorithms and theoretical frameworks for future innovation.