Akansha Singh
Papers
4
Total Citations
42
H-Index
3
About
Akansha Singh is a rising researcher at the forefront of artificial intelligence, with a primary focus on computer vision, cognitive computing, and the ethical deployment of AI. Her most impactful work introduces a real-time Convolutional Neural Network (CNN) architecture for simultaneous emotion and gender classification from facial images, a breakthrough in human-computer interaction that has already garnered 32 citations. This system, capable of recognizing six basic emotions, demonstrates her ability to bridge deep learning with practical, real-world applications. Beyond technical innovation, Singh critically examines the landscape of AI in healthcare, addressing pressing legal and regulatory issues to ensure responsible innovation. Her foundational work on cognitive computing explores the synthesis of artificial intelligence with principles from psychology and biology, while her forward-looking research on multimodal generative AI charts the next frontier of the field. Through these contributions, Singh is establishing herself as a versatile scholar who not only advances algorithmic performance but also shapes the ethical and regulatory frameworks necessary for AI’s integration into society.
Research Focus
Key Achievements
Top Papers
- 1
- 2Legal and regulatory issues related to AI in healthcare4 citations · 2024
- 3Cognitive Computing4 citations · 2020
- 4Future Directions in Multimodal Generative AI2 citations · 2025