Akansha Singh

Bennett University, Amity University

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

3
H-Index
4
Papers
42
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Real-Time Convolutional Neural Networks for Emotion and Gender Classification
32 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Bennett University, Amity University

Top Papers

  1. 1
  2. 2
  3. 3
    Cognitive Computing
    4 citations · 2020
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago