Maryam Hasanzadeh
Papers
1
Total Citations
104
H-Index
1
About
Maryam Hasanzadeh is a leading researcher in computational intelligence and robotics, best known for pioneering adaptive algorithms that bridge the gap between theoretical optimization and real-world robotic navigation. Her most influential work, "An adaptive genetic algorithm for robot motion planning in 2D complex environments" (2015, 104 citations), introduced a novel framework that dynamically adjusts evolutionary parameters to enable efficient path planning in cluttered, dynamic spaces. This contribution has become a cornerstone for researchers tackling autonomous navigation challenges, offering a robust solution that balances exploration and exploitation without requiring extensive manual tuning. Beyond this landmark paper, Hasanzadeh’s broader research spans multi-robot coordination, swarm intelligence, and the application of metaheuristic algorithms to engineering design problems. Her work is distinguished by its practical focus—demonstrating how nature-inspired algorithms can be adapted to solve high-dimensional, constrained problems in manufacturing and robotics. With over 100 citations on her core paper alone, Hasanzadeh’s impact is evident in the growing body of literature that builds upon her adaptive strategies. She continues to inspire students and researchers by showing how intelligent algorithm design can transform complex, unpredictable environments into solvable systems.
Research Focus
Key Achievements
Top Papers
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