Papers
3
Total Citations
17
H-Index
2
About
Taif Anjum is a pioneering researcher at the intersection of affective computing, social robotics, and the Internet of Robotic Things (IoRT), with a focused mission to enhance the quality of life for older adults. Her work centers on making companion robots more empathetic and effective in long-term care settings by integrating augmented reality and edge computing. Anjum’s most cited paper (12 citations) demonstrates how these technologies can transform robots into better companions for seniors, enabling real-time emotional responsiveness without cloud dependency. She further advances this vision by exploring the social embodiment of robots in smart spaces, creating an IoRT framework for independent living. A key technical contribution is her improved deep convolutional neural network that incorporates age augmentation to address a critical gap: facial emotion recognition (FER) datasets are overwhelmingly biased toward younger adults, excluding those over fifty. By developing models that accurately perceive emotions in older users, Anjum ensures that affective computing serves its intended demographic. Her work is foundational for building trustworthy, context-aware robotic companions that support aging in place, earning her recognition as a rising voice in human-robot interaction for geriatric care.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3