Adil Rasheed
Papers
3
Total Citations
156
H-Index
3
About
Adil Rasheed is a leading researcher at the intersection of autonomous systems, artificial intelligence, and digital twin technology. His primary contributions lie in developing intelligent guidance and control systems for unmanned surface vehicles (USVs), with a particular focus on COLREG-compliant collision avoidance. In his highly cited 2020 work, Rasheed pioneered the use of deep reinforcement learning to enable USVs to autonomously navigate and avoid collisions while adhering to international maritime regulations—a critical step toward safe, real-world deployment of autonomous vessels. This paper has garnered 89 citations, underscoring its influence in the field of marine robotics. More recently, Rasheed has expanded his research into digital twins for intensive aquaculture, exploring how virtual replicas of physical assets can optimize operations, improve sustainability, and enable predictive maintenance. His 2024 paper on the subject has already attracted 64 citations, reflecting the growing importance of digital transformation in food production. Through his work, Rasheed bridges theoretical advances in AI and control with pressing real-world challenges in maritime autonomy and sustainable aquaculture.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3