Testimonials
In a short span of time, Aiswarya walked us through some fundamental concepts and developments around Graph Neural Networks, serving as a primer to motivate anyone into deeper research, all this despite her ill-health during the session. Wow, that's some serious commitment and worth ethics displayed there! Love her energy!
The session was an eye opener on use cases where graph neural networks can be applied. Aiswarya presented the topic well, taking us from from the basics to its depth. Personally I came away with a good understanding on graph neural networks and it's applications. Many thanks Aiswarya. Hoping to see more of such presentations.
Great session
Good
About me
I am a Data Scientist and my research interests are,
Data Science, Machine Learning, Deep Learning, Probabilistic Programming, Bayesian Neural Networks, Data driven modelling and analysis of physical systems, Transfer Learning, Python.
Here are a few of my AI/ML projects.
1. Machine learning and Temporal Graph Networks for protein classification based on amino acid sequence
2. Temporal Graph Networks for the prediction of user-item interaction in e-commerce platforms
3. Sentiment analysis for regional language, Malayalam
4. Humor detection from social media text using NLP
5. Detection of oil pads from multispectral satellite images using machine Learning
6. Prediction of Alzheimer's disease from MRI data using 1D and 2D Convolutional Neural Networks
7. Detection of Melanoma using Convolutional Neural Networks
8. Monitoring of License plates using Convolutional Neural Networks
9. Real-time security alarm and counter
10. Covid droplet spread analysis using computer vision
If you are an AI researcher and interested to collaborate, please feel free to reach out!