Waseem Akram

University of Calabria, Khalifa University of Science and Technology

Papers

Total Citations

H-Index

About

Waseem Akram is a robotics and marine autonomy researcher whose work sits at the intersection of autonomous systems, computer vision, and underwater/surface vehicle navigation. His research spans Autonomous Underwater Vehicles (AUVs), Remotely Operated Vehicles (ROVs), and Unmanned Surface Vessels (USVs), with a particular focus on enabling intelligent, vision-guided inspection and navigation in complex aquatic environments. Among his most notable contributions is a visual control scheme for AUV-based underwater pipeline tracking (2021), which addresses the growing demand for cost-effective submarine infrastructure inspection — a paper that has already garnered 15 citations, reflecting its practical relevance to the offshore industry. His work on Marine X (2023) demonstrates his breadth, presenting a fully designed USV capable of vision-guided navigation for applications ranging from environmental monitoring to maritime security. More recently, Akram has moved toward integrating large language models into marine robotics, with AquaChat (2025) proposing an LLM-guided ROV framework for adaptive aquaculture net pen inspection — a forward-looking contribution that bridges generative AI with real-world underwater operations. His growing citation record signals an emerging voice in autonomous marine systems research.