Papers

3

Total Citations

20

H-Index

2

About

Vandana Bharti is a leading researcher at the intersection of computational intelligence and the Internet of Things (IoT), with a focus on creating efficient, scalable solutions for real-world industrial and healthcare applications. Her work addresses the critical challenge of high computing and labeled data demands in deep learning, particularly for intelligent IoT devices on assembly lines. In her highly cited 2023 paper, she introduced a label-efficient semi self-supervised learning framework that dramatically reduces the need for annotated data, paving the way for more practical and cost-effective industrial automation. With a total of 20 citations across her most notable works, Bharti’s contributions extend to future healthcare applications, where she explores how computational intelligence can transform patient monitoring and diagnostics. She has also synthesized recent trends in swarm intelligence for deep learning, highlighting its potential to optimize complex neural networks. Her research is pivotal for students and engineers seeking to deploy advanced AI in resource-constrained environments, making her a key figure in the evolution of smart, autonomous IoT systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
20
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
A Label-Efficient Semi Self-Supervised Learning Framework for IoT Devices in Industrial Process
12 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Indian Institute of Technology BHU, Banaras Hindu University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago