Papers
12
Total Citations
71
H-Index
6
About
Hakim Mabed is a researcher specializing in distributed algorithms, micro-robotics, and nanonetworks, with particular expertise in the coordination and self-reconfiguration of large-scale robotic systems. His work sits at the intersection of programmable materials, modular robotics, and wireless network design, tackling some of the most demanding computational challenges posed by miniaturized, resource-constrained devices. Mabed's most significant contributions center on developing scalable, map-less self-reconfiguration algorithms for MEMS micro-robots — systems where memory, energy, and processing power are severely limited. His foundational papers from 2012 to 2014 established distributed, dynamic frameworks allowing swarms of micro-robots to autonomously reshape and redeploy without centralized control, earning consistent recognition across the community. His 2016 work on modular micro-robot network reorganization and his shape-shifting algorithm research further advanced the field of programmable matter, a concept with far-reaching implications in medicine, manufacturing, and adaptive structures. More recently, Mabed has extended his expertise into terahertz nanonetworks and ultra-dense routing protocols, addressing connectivity challenges in next-generation nano-scale communication systems. With cumulative citations across ten notable publications, his body of work represents a cohesive and growing contribution to autonomous distributed systems and the emerging frontier of nanoscale networking.
Research Focus
Key Achievements
Top Papers
- 1
- 2Efficient routing protocol for concave unstable terahertz nanonetworks10 citations · 2020
- 3
- 4
- 5Dynamicity to Save Energy in Microrobots Reconfiguration6 citations · 2013
- 6Robust Parallel Redeployment Algorithm for MEMS Microrobots6 citations · 2014
- 7
- 8
- 9
- 10Fully distributed redeployment algorithm for multi-robot system4 citations · 2012