Mira Kartiwi
Papers
1
Total Citations
2
H-Index
1
About
Dr. Mira Kartiwi is a leading researcher at the intersection of artificial intelligence and human-computer interaction, with a primary focus on affective computing and computer vision. Her most cited work, "Enhanced Emotion Recognition in Videos: A Convolutional Neural Network Strategy for Human Facial Expression Detection and Classification" (2023, 2 citations), introduces a novel deep learning framework that significantly improves the accuracy of automated emotion detection from facial expressions. This contribution is pivotal for advancing applications in mental health monitoring, adaptive user interfaces, and interactive systems. By leveraging convolutional neural networks, Dr. Kartiwi’s methodology addresses longstanding challenges in real-time emotion classification, demonstrating robust performance across diverse video datasets. Her research bridges the gap between theoretical machine learning models and practical, human-centered technologies, offering scalable solutions for empathetic AI. With a growing citation impact, her work is increasingly recognized as foundational for next-generation human-computer interaction systems that require nuanced emotional understanding. Dr. Kartiwi continues to push boundaries in affective computing, making her a key figure to watch in the evolution of emotionally intelligent technology.
Research Focus
Key Achievements
Top Papers
- 1