Tasnim Basmaji

Papers

Total Citations

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About

Tasnim Basmaji’s research sits at the intersection of autonomous robotics, artificial intelligence, and the Internet of Things (IoT), with a focus on creating intelligent systems for real-world environments. Her work addresses two critical challenges: enabling robots to reliably detect and track multiple objects for navigation, and developing robust, cloud-based architectures for monitoring industrial settings. Her highly cited 2022 survey, “Multiple Object Tracking in Robotic Applications: Trends and Challenges” (33 citations), provides a comprehensive roadmap of the latest trends and persistent hurdles in this field, serving as a key reference for researchers. In her 2020 paper, “Cloud-Based Monitoring of Thermal Anomalies in Industrial Environments Using AI and the Internet of Robotic Things” (32 citations), she proposed an innovative edge-fog-cloud architecture that leverages AI to detect anomalies in harsh industrial environments. This work demonstrates her ability to bridge theoretical advances with practical, deployable solutions. With a growing citation record, Basmaji is establishing herself as a rising voice in autonomous systems, contributing foundational knowledge that helps shape the future of intelligent robotics and industrial automation.