Max Robotics — Global Service Robot Directory + US Certification

About

Rakiba Rayhana is a leading researcher at the intersection of intelligent infrastructure and precision agriculture, whose work harnesses computer vision, deep learning, and sensor technologies to solve critical challenges in urban asset management and food security. Her most impactful contributions center on developing automated defect-detection and condition-assessment systems for underground water and sewer pipelines. Her highly cited 2020 review on automated vision systems for pipeline condition assessment (79 citations) laid the groundwork for replacing manual inspection with AI-driven analysis. She has since advanced this field by creating deep neural network models for valve detection and defect identification from CCTV inspection videos captured by autonomous robotic platforms, with her 2023 work on automated defect detection (31 citations) demonstrating practical deployment pathways. Beyond infrastructure, Rayhana has made significant contributions to smart farming, authoring influential reviews on printed sensor technologies for agricultural monitoring (68 citations) and sensing technologies for high-throughput plant phenotyping (30 citations). Her research portfolio, spanning from urban water systems to crop monitoring, showcases a rare ability to apply cutting-edge sensing and AI techniques across domains, earning her recognition as a versatile innovator whose work directly supports sustainable infrastructure management and agricultural productivity.