Anisur Rahaman Molla

Indian Statistical Institute

Papers

20

Total Citations

209

H-Index

8

About

Anisur Rahaman Molla is a leading researcher in distributed computing and mobile robotics, with a core focus on the **dispersion problem**—the challenge of coordinating autonomous robots to occupy distinct nodes on an unknown graph. His work has fundamentally advanced this field, demonstrating how mobile agents can efficiently achieve dispersion on arbitrary graphs, grids, and dynamic networks. His 2019 paper on "Fast Dispersion of Mobile Robots on Arbitrary Graphs" (38 citations) and his 2020 work on grids (34 citations) are foundational, establishing optimal time and memory bounds. Molla has also pioneered the study of **randomized algorithms** (28 citations) and **fault tolerance**, addressing scenarios with weak Byzantine robots (10 citations) and dynamic topologies (21 citations). Beyond dispersion, he has applied mobile agents to classic graph problems, including **maximal independent set** (10 citations) and **dominating set** (11 citations), showing how robots can solve these tasks without global knowledge. With over 180 total citations, Molla’s research bridges theory and practice, offering elegant algorithms that are both provably optimal and resilient to failures—making him a key figure for students and researchers interested in the frontiers of autonomous multi-robot coordination.

Research Focus

Key Achievements

8
H-Index
20
Papers
209
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Fast Dispersion of Mobile Robots on Arbitrary Graphs
38 citations · 2019
📈 Most Prolific Year: 2020 (5 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Indian Statistical Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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