Shahram Rahimi
Papers
8
Total Citations
144
H-Index
5
About
Shahram Rahimi is a prominent researcher at the intersection of artificial intelligence, robotics, and cybersecurity, whose work has shaped how autonomous systems navigate, collaborate, and defend against emerging threats. His most impactful contributions span bio-inspired algorithms and autonomous robot navigation, most notably his graph-based ant colony optimization approach to path planning (36 citations) and immune system-inspired algorithms for robot exploration and mapping. His nature-inspired methods have found practical applications ranging from precision agriculture to COVID-19 disinfection robotics, demonstrating a consistent drive to translate algorithmic innovation into real-world impact. Rahimi has also made significant strides in multi-robot coordination, addressing collaborative coverage path planning in complex row-based environments such as warehouses and wind farms. More recently, his focus has expanded into the critical domain of AI-robotics security; his survey on security considerations in AI-robotics systems has already accumulated 48 citations since 2024, reflecting its timeliness and broad relevance. His complementary work on privacy attacks in digital twin systems further underscores his commitment to securing next-generation intelligent infrastructure. With over 140 cumulative citations across his key works, Rahimi represents a versatile and forward-thinking voice in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Graph-based Ant-like Approach to Optimal Path Planning36 citations · 2020
- 3
- 4
- 5Multi-Robot Directed Coverage Path Planning in Row-based Environments16 citations · 2022
- 6A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics4 citations · 2024
- 7
- 8