Farzan Majeed Noori
University of Coimbra, Statistics Norway, University of Oslo
Papers
5
Total Citations
113
H-Index
5
About
Farzan Majeed Noori is a multidisciplinary researcher whose work spans robotics, human activity recognition, and assistive technologies, with a particular focus on leveraging cutting-edge sensing and artificial intelligence to address real-world challenges in eldercare and human-robot interaction. His comparative study of 3D simulators for multi-robot systems in ROS — examining MORSE and Gazebo — has become an essential reference for robotics developers navigating simulation environments, amassing 45 citations since 2017. Noori has made significant strides in radar-based sensing, pioneering the application of Ultra-Wideband (UWB) radar combined with deep learning for activity recognition and in-home emergency detection, with his 2021 activity recognition paper earning 43 citations and demonstrating the technology's promise for personalised eldercare solutions. Beyond technical innovation, Noori distinguishes himself through thoughtful engagement with the ethical dimensions of his work; his 2019 paper critically examining the moral justifications of robot-care for older people reflects a rare commitment to responsible research practice. His more recent work on semantic temporal object search further demonstrates his evolving interest in intelligent, context-aware robotic systems. Collectively, Noori's contributions position him as a researcher deeply invested in building technology that is both effective and ethically grounded.
Research Focus
Key Achievements
Top Papers
- 1On 3D simulators for multi-robot systems in ROS: MORSE or Gazebo?45 citations · 2017
- 2Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning43 citations · 2021
- 3
- 4Robot-Care for the Older People: Ethically Justified or Not?9 citations · 2019
- 5Semantic Temporal Object Search System Based on Heat Maps5 citations · 2022