Mohsen Soryani

Iran University of Science and Technology

Papers

Total Citations

137

H-Index

About

Mohsen Soryani is a leading researcher in the fields of computer vision, artificial intelligence, and agricultural robotics. His work bridges the gap between deep learning and practical automation, with a particular focus on 3D reconstruction and intelligent robotic systems. Soryani’s most cited paper, “Deep learning-based 3D reconstruction: a survey” (2023, 84 citations), provides a comprehensive overview of state-of-the-art techniques, establishing him as a key voice in this rapidly evolving domain. His notable contribution, “An intelligent spraying robot based on plant bulk volume” (2020, 53 citations), demonstrates his ability to translate complex algorithms into real-world agricultural solutions, optimizing precision spraying through volumetric analysis. With over 130 combined citations from his top works, Soryani’s research has significantly impacted both academic understanding and industrial application. His achievements highlight a unique talent for integrating deep learning with robotics, offering scalable innovations for smart agriculture and 3D vision. For students and researchers, Soryani’s work exemplifies how theoretical advances in AI can drive tangible, efficient systems in environmental and agricultural contexts.